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• Postgraduate Applications

What you need to know about Postgraduate applications

Postgraduate Diploma

Normally a Bachelor’s degree or its equivalent from a recognised University in a subject or subjects relevant to the course applied for. Each programme has its Admission requirements stipulated under the Faculty/School/Institute Website.

Duration of Programme: 

1 Academic Year

Masters Degree

Normally a Bachelor’s degree of at least second class, lower division or equivalent from a recognised University.  Applicants with lower qualifications must satisfy the relevant department and the Postgraduate Admissions Board that they have acquired academic growth, for instance, by evidence of research and publications or a relevant Postgraduate Diploma of Second class division. In some departments, a qualifying course followed by examination is given.

Duration of Programme:  

Full time - 2 Calendar years

Part time - 3 Calendar years

Master of Medicine degree: Full time - 3 Calendar years

Doctor Of Philosophy (Ph.D)

Normally a Master’s degree from a recognised University in a field relevant to the area of further studies.  First degree graduates who wish to register for Ph.D. would normally register for a master’s degree first and after a year or two of satisfactory progress may apply for upgrading of their candidature to Ph.D. level.  A research outline (synopsis) of 3-5 pages length should accompany the application.  This will be useful as a guide for PROVISIONAL ADMISSION for one year during which time the applicant will develop a comprehensive research proposal necessary for a FULL ADMISSION as soon as the proposal is approved.

Duration of Programme:

Full time – 3 Calendar Years

Part time – 5 Calendar Years 

M.D. Degree

A Master’s degree in Medicine from a recognised University.

LLD. Degree

A Master degree in Law from a recognised University.

D. Litt. & D.Sc. (Higher Doctorates)

Degrees are awarded upon successful submission of original published and unpublished works on the area/topic of specialization.  These are higher doctorates normally applied for by holders of Ph.D. degrees.

Occasional Postgraduate students

Under occasional studentship, the University accepts non-degree students from other recognized University institutions on an agreed fees structure.  Application should be channeled through the Heads of such institutions.

Candidates may apply for registration at any time and could be admitted at the beginning of any semester of the academic year.

Occasional students may register for at least a semester and for not more than one academic year.

No such registration shall overlap two academic years.

All applications must be addressed to the Director, School of Postgraduate Studies who shall, in consultation with relevant bodies within the University, register such students.

Extension of Study Duration

With special permission, these periods may be extended as the Board of Postgraduate Studies and Research may consider reasonable.

Under no circumstances will a candidate be allowed to submit a thesis for examination unless he/she has been under regular and approved supervision for at least one year for a Master's degree and two years for a Doctoral degree.

Please note that applications open in January and Close in March/April each year

For any further enquiries, kindly contact 

Mr. Tim Otim Deputy Registrar (Graduate Studies) Room 414, Senate Building (Level 4) Makerere University P.O. Box 7062, Kampala, Uganda Tel: +256 414 530983 Fax: +256 414 533809 Email:  [email protected]

Directorate of Research and Graduate Training (DRGT) Makerere University P.O. Box 7062, Kampala, Uganda Email: [email protected] Web: http://rgt.mak.ac.ug

Telephone: +256 (414) 691-937

Telephone: +256 (414) 691-937 Email:  [email protected]

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Introduction

The PhD in computer Science program aims at building on the expertise in the masters program to lay ground for the production of world class researchers and innovators in the areas Computer Security as well as Computer Vision & Image processing.

The objectives of the PhD (Computer Science) by Coursework and Research program are to: -

• Build human resource capacity in the area of computer science in both the public and private sectors, especially in universities;
• Develop research capacity in the areas of computer science so as to improve research and innovations output in the country and region
• Address the increasing demand for PhD holders in the areas of computer science
• Provide masters holders with potential for PhD with opportunities to develop skills in formulating, conducting and presenting their own scholarly research through the production of a research-based dissertations and publications.
• Foster initiative and potential for independent self-study that will develop the students’ motivation and ability to continue updating their knowledge and skills after completion of the course of study in relation to scholarship and research.
• Enable the students to be able to demonstrate a critical awareness and reflection on research-based information as a basis for problem solving and practice in professional contexts.
• Enable students to be able to demonstrate ability to interpret and report research findings in areas relevant to their field of study.
• Equip students with research and publication skills to enable them publish research from high quality dissertations in reputable journals and/ or presentation of their research findings at academic conferences

Collaboration Partners

• University of Groningen
• Raudbound University Nijmegen
• Eindhoven University of Technology
• University of Bergen
• London South Bank University

Computing Equipment

The Faculty of Computing and IT has put in place specialized research laboratories i.e. Multimedia Laboratory, Geographical Information Systems Laboratory, Mobile Computing Laboratory, Networking and Systems Laboratory, Software Incubation Laboratory, Computer Engineering Laboratory and E-learning Laboratory and plans are under way to establish more laboratories.

The equipments and software in these specialised laboratories is availed to the PhD students and their supervisors.

Every PhD student at the department is given a laptop and personal computer for the whole duration of the program. Each member of academic staff has a laptop and personal computer in the office.

Research in the Department of Computer Science

Being rather young, the Department of Computer Science does not have a long research history. In its early years, the department lacked staff with advanced degrees to create a critical mass to do substantial research. This was addressed by attracting staff with PhDs as well as training the existing staff to PhD level. Currently, the department has 4 PhD holders while 8 members of staff are undertaking doctoral studies. The research activities in the department are therefore on the raise. The department is currently focusing its research efforts into selected priority areas. These are:

• Computer Security
• Computer Vision & Image Processing
• Study and Optimization of Operational Systems
• Theoretical Foundations of Computing

The department therefore aims at being a center of research excellence in these priority areas. A big portion of its teaching and research at Masters and Doctoral focuses on these areas so as to increase the capacity with in the department as well as the impact in industry.

The Program

Target Group

The program targets holders of a Masters in Computer Science and related fields. Holders of other masters degrees may be considered if there is substantial evidence that they have, by virtue of their work or research, acquired sufficient advanced knowledge in Computer Science.

The tuition of the program shall be 3,875,000 Uganda Shillings per year for Ugandan students and 3,500 United States Dollars per year for International students.

Program Duration

The program duration is four academic years 8 semesters).. One academic year shall be for coursework and research proposal writing and three years shall be for research and thesis writing.

Admission Requirements

To qualify for admission on the program, the candidate should have

• A good Masters degree in Computer Science or a closely related field
• Any Masters degree with evidence of acquisition of sufficient advanced knowledge in computer science by virtue of research or work

Weighting and Semester Load

The weighting unit is a Credit Unit (CU). The credit unit is a contact hour per week per semester. A contact hour is equal to (i) one lecture hour (LH) (ii) two practical hours (PH) (iii) two tutorial hours (TH). The semester load is between 9 and 15 credit units. The minimum graduation load is 18 credit units done in the first year of the program

Core and Elective Courses

A major is the subject/ field/ program of specialization. A core course is compulsory course for the major and an elective course is an optional course for the major.

Assessment will be in form of writing technical reports, reviewing literature, critiquing papers or any other approach a student can use to demonstrate in-depth understanding and synthesis of academic matter. The approach used will depend on the course unit being studied.

Graduation Requirements

To qualify for the award of the degree of Doctor of Philosophy in Computer Science, a candidate is required to obtain a minimum of 18 credit units for courses passed including all the compulsory courses and the PhD Dissertation within a period stipulated by Makerere University Senate/ Council Let LH, CH, and CU stand for Lecture Hour, Contact Hour, and Credit Unit respectively.

Grading, Pass mark and progression

Grading will be done on the final score of each course unit using the ranges below

A student with a grade point greater or equal to 3 (Letter grade C) in a certain course is considered to have passed the course unit.

The following additional letters will be used, where appropriate: -

W - Withdraw from Course;

I - Incomplete;

F - Failure.

Minimum Pass Mark

A minimum pass grade for each course shall be 3.0 grade points.

Calculation of Cumulative Grade Point Average (CGPA)

The CGPA is calculated as follows:

Where GP i is the Grade Point score of a particular course unit i; CU i is the number of Credit Units of course unit i; and n is the number of course units done so far.

Normal Progress

A student is considered to be under normal progression if he/she has a grade point of at least 3 in each of the courses that make his/her full semester load.

Probationary

A student is under probational progress if he/she has at least a course unit in his/her full semester load where the grade point is less than 3

PhD Dissertation

• A candidate shall be allowed to formally start on the dissertation after completion of the coursework part.
• A candidate shall submit a dissertation proposal to the Faculty of Computing and Information Technology Higher Degrees Committee during the first semester of the first academic year.
• The candidate shall execute the dissertation after acceptance of the dissertation proposal.
• The candidate shall be required to submit reports of progress to the Faculty Higher degrees committee every 6 months
• The candidate shall, in the process of PhD research, publish at least three peer reviewed articles one of which must be in a specialised journal/conference
• The candidate shall submit a dissertation report before the end of the fourth year (8th semester).

To pass the Dissertation, the candidate shall satisfy the Internal Examiner, External Examiner, and Viva Voce Committee independently.

Discontinuation from the Program

A student shall be discontinued from the program if

• He/she fails to get a grade point of at least 3.0 from any course unit for three sittings
• By the end of the third semester, he/she does not have an approved research proposal
• Without a credible reason, he/she fails to submit the 6 monthly reports two consecutive times
• The candidate shows no substantial progress for two academic years
• Overstays on the program for more than two years
• Fails to pass on the third submission of the dissertation

Detailed Courses

Pse 9102: science of programming (3cu).

(a) Course Description

This course introduces foundational concepts and techniques of programming languages. We use typed λ-calculi and operational semantics as models of programming language concepts. These models are applicable to the design, analysis, and implementation of programming languages. We demonstrate the utility of a mathematical approach to programming languages in answering questions about program correctness, the pro’s and con’s of various languages, compiler correctness, and other practical issues. We focus on two of the most successful styles of semantic description: denotational and operational. We deal with small “core” languages, each chosen to illustrate a specific paradigm. We use semantics to prove properties of a language, to analyze programs, to design correct programs, to prove correctness of compiler optimizations, and to prove general laws of program equivalence.

The objective is to:

• To study formal techniques for describing computation and compilation.
• Provide a more general understanding of programming languages, specification, logic, mathematics, and proof theory.
• Apply formal reasoning to nondeterministic programs and to concurrent programs, and provide an introduction to reasoning about distributed systems (temporal logic).

(c) Learning outcomes

(d) Teaching and learning pattern

Classes are held as a group discussion. Reading material which includes journal papers is distributed a week in advance, and students take it in turns to research and present new topics. The lecturer addresses questions to the students to encourage them to think about and understand the material. The lecturer should become aware of the students' proposed topics of research so that the discussion explores how the principles in the course apply to these topics. The students make presentations of their review paper for critique from both the students and the lecturer.

(e) Indicative content

• Inductive definitions.
• Static and dynamic semantics.
• Type safety.
• Function, product, and sum types.
• Universal types and polymorphism.
• Existential types and data abstraction.
• Recursive types.
• Object types.
• Sub typing.
• Equational reasoning.
• Type inference and unification
• denotational and operational, referential transparency, criteria for choosing models
• Sequential imperative programs: state transformations, partial and total correctness, traces and runtime
• Machine language: jumps and continuations, compiling sequential pro-grams, correctness of compiler optimizations
• Parallel programming: data ow networks, shared-memory parallelism, communicating processes, safety and liveness, fair execution
• Functional programs: types and polymorphism, call-by-value, direct-and continuation-style semantics

(f) Assessment

Progressive assessment will be based on the quality of presentations in class by each student. The final assessment will be based on a scientific review paper.

(g) Reading List

• John C. Reynolds. Theories of Programming Languages. Cambridge University Press, 1999.
• Glynn Winskel. The Formal Semantics of Programming Languages. MIT Press, 1993.
• John C. Mitchell. Foundations for Programming Languages. MIT Press, 1996.
• Martin Abadi and Luca Cardelli. A Theory of Objects. Springer-Verlag, 1996.
• Jean-Yves Girard. Proofs and Types. Cambridge University Press, 1989.

PCS 9101: Philosophy of Computing (3CU)

(a) Description

This course explorer the philosophical foundations of the computing field. It explores the computational understanding of the major parameters that make up and support the computing field. It explores their foundations and philosophical underpinnings.

(b)Aims and Objectives

The aims of the course are:

• To give students an avenue of exploring the philosophical foundations of computing as an academic field
• To give students the historical foundation of computational thinking and interpretation
• To expose students to the philosophical thinkings of the different areas of computing

By the end of the course, the students should be able to:

• Explain the philosophical foundations of computing
• Explain the foundations of theoretical thinking and interpretations
• Explain the philosophical thinkings of the different fields of computing

Teaching will be by lectures, group work, group discussions and presentations

• Mind and Artificial Intelligence (AI): The philosophy of artificial intelligence and its critique, computationalism, connectionism and the philosophy of mind
• Real and virtual worlds: Ontology, virtual reality, the physics of information, physics as a traditional model of the ideal science of the philosophy of science, cybernetics and artificial life
• Language and knowledge: Information and content, knowledge, the philosophy of computer languages, hypertext.
• Logic and probability: probability in artificial intelligence, game theory – Nash equilibrium

Assessment will be by take-home assignments and presentations. Students will be given tasks to read and write about then present in class. The lecturer will award marks for the final a final scientific review paper.

• Floridi, Luciano (1999) Philosophy and Computing: An Introduction. Routledge: London / New York.
• Bynum, Terrel Ward; Moor, James H. (2000) The Digital Phoenix: How Computers are Changing Philosophy. Blackwell Publishers: Oxford, UK.
• Colburn, Timothy R. (2000) Philosophy and Computer Science. M.E. Sharpe: Armonk, NY, USA

PIS 9101: Presentations, Scientific Writing and Research Ethics (3CU)

Most PhD students struggle with scientific writing and presentations in English, and normally much time in a PhD study is spent revising papers and preparing for conference talks. Given the amount of time that PhD students spend writing and preparing to present, students should invest in a systematic study of scientific writing and presentations. The course deals with the publication process from the perspectives of the author of a scientific paper and the editor of a scientific journal. It is intended for PhD students in the fields of computing and Information technology, engineering and natural sciences.

(b) Aims and Objectives

The aim is to give the participants the following

• awareness of the importance of scientific writing,
• motivation to write scientific papers, and
• Prerequisites for publishing in first-class scientific journals.

At the end of this course, students will be able to:

• Make a quality conference presentation
• Write a quality journal article
• Appreciate ethics-related issues when writing a scholarly/scientific paper.
• Understand the prerequisites for choosing the market for publishing

Classes are held as a group discussion. Reading material which includes books and journal papers on scientific writing and ethics are distributed a week in advance, and students take it in turns to research and present. The students are also given reading material on how to make excellent presentations. The lecturer addresses questions to the students to encourage them to think about and understand the material. The classes will also include viewing of recorded seminar presentations by leading academics in the field.

• Science and writing. Reports and scientific publications. The IMRAD format. Scientific journals. Why, what, when, with whom and where publish?
• Structure of a scientific paper. The different parts of a scientific paper. Language and style. The publication process. Writing a paper. Dealing with editors, reviewers and publishers.
• Critical review of scientific papers by groups of participants.
• General principles of expository writing, pre-writing and planning. Typical formats, structure and language for scientific writing, emphasis on scientific articles as published in (primary) international scientific journals. English grammar essential to scientific papers. Designing tables, figures and graphs for scientific papers. Good style for readability. The refereeing and publishing process, what referees are looking for, how to deal with editors. Paragraphing, linking paragraphs to make the logic clear. Writing informative abstracts and crafting clear titles.
• Ethics: Honesty and credibility in scientific writing.
• How to write and publish a scientific paper, Robert A. Day and Barbara Gastel, ISBN:0-313-33027- 1, 6TH Edition, 2006
• Research ethics, edited by Anna Smith IItis, 1st Edition, 2006.
• The student’s guide to research ethics, Oliver, 2003.

PIT 9201 Advanced Research Methods (3CU)

(a) Aims and Objectives

the objectives of this course are to provide:

• Philosophical underpinnings of research in computing and IT
• Practical aspects on doing research

(b) Learning outcomes

At the end of the course the students will be able to apply computing and IT research methods in their research

(c) Course Content:

CThe first part of the course is devoted to the philosophical underpinnings of research, which crucially influence choice of research methods and interpretations of data. The course then moves on to the more practical aspects of 'doing research' - looking at developing a research strategy as well as ways of collecting data, analysing data and communicating research findings. This course will also give guidance to students on how to identify a research problem. Students will be presented with various research paradigms and models of methodology and assisted with designing an appropriate method for their research. Students will be trained in the analysis and presentation of results, exposition of processes and methods used and conclusions drawn. Key philosophical and epistemological bases for research are explored, and alternative methodologies are examined in relation to varied theoretical approaches. Selected sets of methods and techniques are critically appraised, while the range and scope of techniques with which students are familiar is extended. The structure of the course aims to achieve a balance between theory and practice. Considerable emphasis is therefore placed upon the logistics of setting-up, doing and disseminating research. The course not only introduces a range of research ideas and skills central to sound socio-environmental enquiry in general, but also acts as a critical and practical research forum where discussion and preparation for the PhD dissertation takes place.

(d) Teaching and Learning pattern:

Classes are held as a group discussion. Reading material which includes journal papers is distributed a week in advance, and students take it in turns to research and present new topics. The lecturer addresses questions to the students to encourage them to think about and understand the material. Each student undertakes a review of the different research methodologies and makes a presentation before the class. The students will identify researchable problems from which they will apply the concepts taught in class with an aim of producing research proposals by the end of the semester. The students will be required to build on their proposals on a weekly basis in line with the new concepts that will be taught. The students will make presentations of their draft proposal for critique and feedback from both the students and the lecturer.

(e) Assessment Method

(f) References

• Qualitative research and evaluation methods; By Michael Quinn Patton; Edition: 3, illustrated; Published by SAGE, 2002; ISBN 0761919716, 9780761919711; 598 pages.
• Research Design & Statistical Analysis; Third Edition; By Jerome L. Myers, Arnold D. Well, Arnold D. Well, Robert F. Lorch, Jerome L. Myers; Pages: 736; Published by: Routledge; Publication Date: 1st November 2002; ISBN: 978-0-8058-4037-7
• Are Your Lights On? How to Figure out what the Problem Really Is, by Donald C Gause and Gerald M Weinberg, Dorset House, USA, 1990. A brilliant book about getting ready to make decisions.
• Bordens, K.S. & Abbott, B.B. (1988) Research design and methods: A process approach. Mayfield.

PCS 9201: Advances in Digital Security (3CU)

This course aids students to explore in depth selected areas in digital security. It helps them get the general knowledge as well as getting an in-depth knowledge of the current state of practice. It also guides them in making in depth reading so as to be able to critique recent research works as well as identify some existing research gaps.

The aims of the course are to:

• Equip students with the general state and challenges in security of computer systems
• Assist students explore the current state of the art in selected aspects of digital security
• Assists students make deep analysis of the current literature in digital security and identify research gaps

By the end of the course, the students should be able to

• Comprehensively elaborate the typical security challenges in the digital world today.
• Explain ways of attack and techniques of defense on software, hardware and data.
• Have an in-depth understanding of the current research trends in some areas of digital security.
• Comprehend and critique state of the art research findings in digital security.

(d) Teaching and Learning Patterns

The lecturer will chose an area and subject matter to be focused on over a period of time and ask students to do the reading. The lecturer will provide the main reading materials (like journal papers, books, technical reports). The students will do the reading; write their findings (like critique, technical report, etc). The students will make the write up and presentations in class.

• Advances in software security
• Advances in hardware security
• Advances in cryptosystems

(f) Assessment Method

Assessment will be by evaluating the students write ups and presentations. For each write up and presentations, the lecturer will award marks depending on the extent to which the objectives of the assignment has been met. The lecturer will also award marks on the extent to which the student demonstrates his/her mastery of the subject matter during presentations and final write up of a scientific review paper.

(g) Reading lists

Reading materials will largely be got from the publications in journals and conferences of digital security. These include:

• International conference on privacy , security and trust
• Security Journal
• Journal of Computer Security
• International journal of Information Security
• International journal of applied cryptography

PCS 9202: Advances in Computer Vision &Image Processing(3CU)

This course gives students exposure to cutting edge research in the fields of image processing, computer vision, machine learning, pattern recognition and computational statistics. It examines common methodologies in these fields. It also examines current research trends in these fields

(b) Aims/Goals

By the end of the course, students should:

• Become familiar with major areas of research within the fields of image processing and pattern recognition.
• Become familiar with established methodologies and tools which are used in recent mainstream research in these fields.
• Narrow down a topic of interest which would be suitable for PhD research.
• Be able to critically evaluate the strengths and weaknesses of a research paper in image processing.
• Specific topics are to be selected based on the interests of students
• who would generally be expected to have some exposure to these fields
• (e.g. having studied the MSc. courses on Image Processing and Computer Vision, Pattern Recognition). These could include such areas as:Vision, Pattern Recognition). These could include such areas as:

By the end of the course, the student shall be able to:

• Identify the current trends in the specific areas of computer vision and image processing.
• Make a critical review of current literature in selected areas of computer vision and image processing.
• Identify realistic open research areas in the areas of computer vision and image processing.

The course will generally take the form of a reading group. Papers are selected in advance each week, and students take it in turn to lead a discussion through that paper, explaining the methodology used and identifying its strengths and weaknesses. The lecturer is on hand to Moderate the discussion, to provide explanations of difficult material (e.g. mathematical techniques which students are not familiar with) and to correct any misunderstandings which arise. The course will also make use of video lectures available online (e.g. from www.videolectures.net, which is particularly strong on machine learning material). Students should watch these videos of research presentations or tutorials in their own time, and then the class meets to discuss and compare notes.

(e) Indicative Content

• Feature extraction, scale/rotation invariant feature transforms
• Mathematical morphology
• Dynamical models
• Multi target tracking
• Bayesian modeling, graphical models
• Data mining
• Ensemble methods
• Structure learning
• Image segmentation

Students should identify at least one core paper, which is a high-impact recent publication that they think will be relevant to their PhD research. Assessment is based on presentations made during class and a short research paper with a critical literature review of their core papers and surrounding literature, and accompanying seminar presentation.

Papers for reading each week are to be selected according to specific interests, from recent papers in significant conferences and journal including the following:

• Transactions on Pattern Analysis and Machine Intelligence
• IEEE International Conference on Computer Vision and Pattern Recognition
• IEEE International Conference on Acoustics, Speech and Signal Processing
• International Conference on Machine Learning
• Machine Learning
• Advances in Neural Information Processing Systems

PCS 9203: Advanced Applied Queuing Systems (3CU)

TMost of the interesting questions in Computer Science in some way involve finding an optimal solution to some problem given a set of constraints. This course gives students exposure to cutting edge research in the fields of optimization, combinatorics, graph theory, resource allocation, scheduling and applications.

• Become familiar with major areas of research within the theory and application of optimization
• Identify the shortcomings of different optimization methods and where the research opportunities are in terms of extending/modifying existing systems or applying them to new types of data.
• Be able to critically evaluate the strengths and weaknesses of a research paper in optimization.

By the end of the course, the student should:

• Demonstrate sufficient knowledge on the application of queues in real life problems.
• Have knowledge on the approaches of solving queue based problems.
• Have knowledge on the current research trends in queuing systems.

Teaching and Learning will be by study groups. The Teacher will identify the papers and students will study, analyze and report on the papers. They will

• Network flow algorithms and their applications,
• Transportation problem and its variants
• Multi objective optimization
• Formulation of large optimization problems

Students will present and write technical reports in selected areas of the course. The depth and expectations shall be prescribed by the lecturer conducting the course. Such expectations can be identification of gaps, describing the state of the art/practice or critiquing a certain paper/set of paper. The student’s score in at least two presentations and technical reports will constitute the score.

Students will read papers from existing high quality journals/conferences in the broad area of optimization. These include but not limited to

• Journal of Optimization Theory and Applications.
• Queuing Systems: Theory and Applications.
• European Journal of Operations Research.

PSE 9201: Models of Software Systems (3CU)

Scientific foundations for software engineering depend on the use of precise, abstract models for characterizing and reasoning about properties of software systems. This course considers many of the standard models for representing sequential and concurrent systems, such as state machines, algebras, and traces. It shows how different logics can be used to specify properties of software systems, such as functional correctness, deadlock freedom, and internal consistency. Concepts such as composition mechanisms, abstraction relations, invariants, non-determinism, inductive definitions and denotational descriptions are recurrent themes throughout the course.

By the end of the course you should be able to

• understand the strengths and weaknesses of certain models and logics, including state machines, algebraic and trace models, and temporal logics.
• to select and describe abstract formal models for certain classes of systems. to reason formally about the elementary properties of modeled systems

At the end of the course students will be able to: describe and relate different models of software systems; select appropriate methodology to use in the final research work and dissertation.

• what is a model?
• Foundations Logic, Proof Techniques
• Sets, Relations, Functions, Proof Techniques
• State Machines ,Variations , FSP and LTSA , Reasoning about State
• Z Techniques
• Refinement & Abstraction
• Modeling Concurrency in FSP , Modeling Techniques, Reasoning about Concurrency,
• Model Checking Linear Temporal Logic, Promela/Spin

Assessment will be by take-home assignments leading to presentations and a scientific review paper. Students will be given tasks to read and write about then present in class. The lecturer will award marks for each write up of a scientific review paper.

• Concepts and Notations for Concurrent Programming," Andrews and Schneider. Computing Surveys, Vol. 15, No. 1, March 1983.
• Formal Methods: State of the Art and Future Directions", ACM Computing Surveys, Vol. 28, No. 4, December 1996, pp. 626-643. Available as CMU-CS-96-178.
• "Statecharts: a visual formalism for complex systems." D. Harel. Science of Computer Programming, 8:231-274, 1987.
• "FAA En Route Resectorization - A Formal Specification." V.J. Harvey, and P.R.H Place. Unpublished manuscript, September 1999.
• "Coloured Petri Nets: A High Level Language for System Design and Analysis." K. Jensen. In High-level Petri Nets: Theory and Application. K. Jensen and G. Rozenberg (eds.) Springer-Verlag, 1991.
• "Temporal Logic." Draft version of chapter from book in preparation. 1996.
• Concurrency: State Models and Java Programs. J. Magee and J. Kramer. Wiley, 1999.
• "Petri Nets." J. L. Peterson. ACM Computing Surveys, Sept 1977.
• Software Engineering Mathematics. J. Woodcock and M. Loomis, Addison-Wesley 1988.

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PhD in Public Health

Master of public health nutrition (mphn).

Malnutrition remains a major public health problem and a priority area for targeted health intervention in an ever changing world. Many strategies and interventions have been implemented with little or no success in reducing the unacceptably high rates of malnutrition and the attributable mortality…

Master of Biostatistics

Introduction The Master's programme is open to all individuals, Ugandan and Non-Ugandan with background training in a quantitative discipline, or background training in health-related discipline.  Initial enrolment will be fifteen students but the number will increase depending on the teaching…

Master of Environmental and Occupational Health (MEOH)

About the Master of Public Health (MPH) Programme The need for environmental and occupational health services is acute in low-income and newly industrialized countries (NICs) (NSOER, 2014). The discovery of oil and gas in Uganda is one of the newest development prospects, which is associated with…

Master of Public Health Disaster Management (MPHDM)

Disasters are common worldwide. Their etiologies include natural, human induced (technological) and a hybrid of factors. The Great Lakes region of Africa, including Uganda, are prone to both human induced disasters, such as conflicts and warfare leading to massive population displacements of both…

Master of Public Health Monitoring and Evaluation (MPHME)

Background With the increasing demand for governments and organisations to demonstrate results towards achievement of development goals, there has been a surge in the demand for skilled Monitoring & Evaluation (M&E) practitioners. This demand has occurred in the face of limited…

Bachelor of Environmental Health Sciences (BEHS)

About this Program The Makerere University School of Public Health (MakSPH) formerly the Makerere University Institute of Public Health (MUIPH) has reviewed and updated the curriculum for the Bachelor of Environmental Health Science (BEHS) degree programme. The BEHS curriculum being reviewed has…

Advanced Qualitative Research Methods:

The aim of this course is to improve the quality of health research by equipping researchers with advanced qualitative research theories and skills. It is suitable for various practitioners and researchers including postgraduates of various disciplines and PhD Students. The two weeks course is in…

Certificate in Health Informatics

Introduction Information and communication technologies (ICTs) have opened up new opportunities for health care provision in Africa. Health Informatics is an interdisciplinary field that demands for knowledgeable and experienced health care personnel in the field of health, social sciences and…

Certificate in Health Systems Research

The Department of Health Policy Planning and Management HPPM and the Centre for Health Policy and Systems Development (CHPSD) in the School of Public Health under the College of Health Sciences at Makerere University is offering a short course on health system research. Purpose: The purpose of…

Certificate Short Course in Applied Impact Evaluation (AIE)

The Impact Evaluation for Evidence Based Decisions (IEED) at Makerere University School of Public Health (MakSPH), is cordially inviting suitable candidates for a certificate course in Applied Impact Evaluation (AIE). The course is designed for professionals interested in learning modern Impact…

Cost Effectiveness Analysis (5 Days)

About this Course This course introduces students to analytic methods of economic evaluation applied in health care to address the economic question of how to allocate limited health care resources to maximize health benefits. This course will teach students methods for performing a cost-…

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PhD Programmes

Phd in information science.

Candidates must be holders of Master’s Degree in Library and...

PhD in Software Engineering

Applicants should possess at least a second class (lower division)...

PhD in Information Systems

Entry Requirements Candidates must be holders of Master’s degree in...

PhD in Information Technology

Phd in computer science.

Introduction The PhD in computer Science program aims at building...

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Inter-disciplinary PhD Programme by Research in the Fields of Historical Humanities and Humanistic Social Sciences

Call for Applications

With funding from the Gerda Henkel Foundation of Dusseldorf Germany, the College of Humanities and Social Sciences at Makerere University seeks to admit 10 students for the 2024 intake leading to the award of a PhD in the fields of Humanities and Social Sciences of Makerere University . Historical Humanities and Humanistic Social Sciences include but are not limited to a cluster of subjects (disciplines) that study human society with a particular sensitivity to the shifting historical contexts over time with various kinds of evidence to support analyses of what informs and shapes the changes and the implications of such changes in human society. Therefore, preference will be accorded to projects that approach the study of the Humanities and Social Sciences in the following fields:

• The Classics, namely Literature, Philosophy, Epic, and Drama,
• Prehistory/Early History of Africa
• Archaeology
• Modern African History
• Anthropology
• Language and Linguistics
• Creative Arts in Africa
• Religion in Africa
• Political theory
• Gender Studies

General Requirements

Research experience in the Humanities and Social Sciences at a University or a Research Institute and a strong foundation in writing and research methods is desirable. The applicant should have excellent oral and written communication skills. This is a PhD by research; therefore, applicants should demonstrate capacity for independent work. They should also have excellent interpersonal and problem-solving skills.  

Eligibility

Eligible candidates should:

• Be Ugandan nationals or nationals of a sub-Saharan African country (attach a biodata page of your passport or National Identity Card to your application).
• Hold Master’s degree in the Humanities and/or Social Sciences discipline , for which s/he has applied for from a recognised university.
• Hold an honours undergraduate degree in the Humanities and/or Social Sciences from a recognised university related to the specialisation s/he is applying for ( for example, if you are applying for a PhD is Sociology, you must have offered Sociology at undergraduate level ). 
• Be fluent or show proof of fluency in English Language. Applicants whose working knowledge in English is limited will be required to undergo intensive language lessons at the College’s Language Centre.
• Provide two reference letters from two academic referees who are familiar with his/her work. Note: the referees named on the applicant’s application form should be the ones to supply reference letter.
• Confirm that s/he will be available from September 2024 to undertake a three-year full-time study at Makerere University. Upon admission, s/he will be required to show proof of a study leave from their employer.
• Provide the address and contact (email and phone number) of next of kin.
• Be under the age of 40 years (male) or 45 years (female) by 30 September 2024. Qualified female candidates are particularly encouraged to apply.
• Attach copies of their MA and Undergraduate Transcripts and Certificates that are duly certified either by the awarding institution or the respective national accreditation body.

The programme is fully funded by the Gerda Henkel Foundation and is tenable at Makerere University. The scholarship will cover all costs of PhD training listed below. [1]

• Medical insurance
• Laptop computer
• Travel to take up the fellowship for non-Ugandan fellows.
• Conference attendance

This is a-three-year programme, which begins in September 2024 and ends in June 2027 as shown below.

• September 2024 to March 2025: Proposal Development
• April 2025 to September 2026: Fieldwork
• October 2026 to September 2027: Dissertation Writing

Upon admission, the Fellows will receive a detailed almanac that will detail the timelines and their respective outputs.

How to apply

Completed application form (saved in word: as your surname underscore application e.g., Nyerere Application) with supporting documents (PDF format) must be submitted by Friday, March 29, 2024, to:

The Principal,

College of Humanities and Social Sciences

Makerere University

P. O. Box 7062

Email: [email protected] , copy [email protected]

For Further Information

In case of any questions regarding the programme or your application, kindly contact the following:

• Dr Edgar Nabutanyi (Programme Coordinator)

Email: mailto: [email protected]

• Dr Levis Mugumya (Programme Administrator)

Email: mailto: [email protected]  

• Ms Esther Namitala

Email: mailto: [email protected]

[1] The maximum value of the scholarship payable to each fellow in 2024 is approximately USD 8,200 which will be paid to the fellows in UGX equivalent per year.

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DRGT GRADUATE HANDBOOK

We are pleased to give you a copy of the Graduate Student Handbook, which we hope will help both new and continuing students navigate through graduate student life at Makerere University. If you are a new student we are delighted that you chose Makerere University and we hope that your graduate study at Makerere University will meet your expectations. If you are a continuing student, we hope that the coming year will be rewarding and productive.

The strategic goal of Makerere University is to strengthen its graduate training sector to ad- dress the demand for knowledge economy and development goals of Uganda and Society at large. Hence, Makerere is repositioning itself for graduate training and research.

This guideline handbook combines rules and regulations and materials that are key for graduate students and staff. Makerere University and the Directorate of Research and Graduate Training, in particular warmly welcome the newly admitted students to the graduate programs offered by Makerere University and wish them fruitful and rewarding years of training, research, networking, and service to society.

The handbook defines the most important policies, procedures, and practices that guide graduate education at Makerere University. The information and language in the handbook supersede any conflicting information that may appear on the Graduate website.

Graduate students are a very vital component of the University. The University and its relevant constituent units, therefore, place a high priority on the educational, social, technological, administrative, and scientific aspects of graduate studies. This is in recognition that as research students, they bring in inputs of vibrant and dynamic contributions with a sense of renewal to the various Colleges/Schools and other University units. It is common knowledge, globally that, about half the research in the world is carried out by graduate students. The new knowledge and innovations contributed through various research measure the relevance of Makerere University towards national and international development.

The information contained in this handbook is intended to serve as a compendium for easy access to the key university policies, guidelines, and operational procedures pertaining to Graduate Training. It is not an end in itself; therefore, you are encouraged to consult the management of graduate programs at various levels, where further clarity is needed. Some other guidelines and policies such as the Sexual Harassment, Research, and Intellectual Property, HIV/AIDS can be accessed independently.

I encourage both students and staff of the University to familiarise themselves with the information herein. For the students, these guidelines and regulations will facilitate the timely completion of their graduate programs. On their part, as advisors or mentors, the handbook will be a useful source of information for more informed assistance to the students.

The handbook has been the product of tireless collegial discussions among academic staff and graduate students. While there have been some problems met, the unselfish contributions made by many have made this handbook a reality.

This handbook is designed to codify and clarify the procedures and requirements relating to graduate work. It will be revised regularly to keep up-to-date. In the future, efforts are invited in order to make further improvements. There are always aspects requiring revision, even correction—a fact of life.

Give us feedback whenever possible as we together, Build For the Future!

Professor Buyinza Mukadasi

DIRECTOR DIRECTORATE OF RESEARCH AND GRADUATE TRAINING

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Phd in mathematics.

The PhD programme provides advanced training at international level for math-ematicians who are interested in the fundamental ideas of Mathematics. It pro-vides training for those who intend to apply Mathematics in industry, teaching and scientific research.  This training is done without losing sight of the impor-tance of fundamental mathematical concepts that are widely used in applications. Indeed, Mathematics is increasingly being used in economics, finance, insurance, environmental studies, climate changes and health sciences among other areas.

The prospective student must first discuss with proposed supervisor(s). The PhD is by thesis only. Applicants should normally have a rich Master's degree in mathematics from a recognised university. A research concept (synopsis) of 3-5pages should accompany the application. The synopsis will be the basis for provisional admission (one year) during which time the candidate will develop a comprehensive Ph.D proposal. The graduation load is 66CUs. Each student will have a Doctoral Committee to guide the student throughout the programme. The Doctoral Committee is additionally to the supervisors.

Objectives of the Programme

The overall goal of this PhD programme is to provide the region with graduates having a strong and broad background in Mathematics as well as increasing the use of Mathematics in the private and public sectors in the region, and in multidis-ciplinary research conducted at Makerere University and in the region.

The specific objectives of the programme are:

• To provide skills for high quality research and teaching in the field of Mathematics and its applications.

• To raise a critical mass of mathematicians at PhD level in Uganda and the region.

• To increase the use of Mathematics in industry and society.

• To enhance efforts of researchers in Mathematics and its applications and draw them towards interdisciplinary research.

To promote the existing collaboration in Mathematics research and teaching between universities in the region (in particular, Eastern Afri-ca), and Swedish universities by 2020 and beyond.   PhD studies are in the following areas (and related areas):

Biomathematics/Mathematical Epidemiology Ecological Modelling Insurance Mathematics Financial Mathematics Dynamical Systems Numerical Analysis Topology

Ph.D Codes, Course name and CUs

Semester I ART9105  Scholarly writing and communication skills (3) PMTH9101  Proposal writing (5) PMTH9102  Seminar I (Literature Review) (4)

Semester II PMTH9201  Progressive Report I (4) PMTH9202  Seminar II (Method development) (4) PMTH9203  Progressive Report II (4)

Semester III PMTH9301  Seminar III (4) PMTH9302  Seminar IV (4) PMTH9303  Progressive Report III (4)

Semester IV PMTH9401  Seminar V (4) PMTH9402  Seminar VI (4) PMTH9403  Progressive Report IV (4)

Semester V PMTH9501  Seminar VII (4) PCNS9502  Draft thesis write-up (5)

Semester VI PMTH9601  Seminar VIII (4) PCNS9602  Final Thesis write-up (5)

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Dr. Stephen Mukiibi, PhD

Areas of Research Interest: Architecture, Housing, Human settlements development, Urban development and Management.

I am an academician and a professional architect with thirty-two (32) years of working experience in academia and architectural professional practice. During this time, I have honed my research and managerial skills while growing up the career ladder from an Assistant Lecturer to an Associate Professor and Head of Department at Makerere University and on the consultancy side from an architect to a Project Manager, Board member, and currently part-time CEO of the consultancy firm, Technology Consults Ltd. I hold a Doctorate obtained from the University of Newcastle upon Tyne, UK, a Master of Philosophy degree from the same university, and a Master of Science degree in Architecture from the Kiev Institute of Building and Civil Engineering, Ukraine. I also possess a Postgraduate diploma in Management from Uganda Management Institute. I have served in academic and managerial positions where I have worked up the ladder from the position of Assistant Lecturer to Associate Professor at Makerere University. I possess 13 years of management experience as a Head of Department. I have served in various positions in an acting capacity as Dean and Principal. I have served on various committees of the university.I have been part of the reform team for the curricula review of programmes of Architecture and Urban and Regional Planning and the initiation of the collegiate system at Makerere University.

Education Background

• Postgraduate Diploma in Management (Uganda Management Institute) (2010)
• PhD, University of Newcastle upon Tyne, (U.K). (2008)
• M.Phil. Arch. University of Newcastle upon Tyne (U.K.), (1997)
• Certificate in Social, Economic and Environmental Factors in Housing, University of Newcastle upon Tyne (U.K.) (1993)
• Msc. Architecture, Kiev Institute of Building and Civil Engineering, Ukraine (1990)

Other key skills training (Certification)

• Certificate course in Curriculum Development and Pedagogy (2009)
• Certificate in Scholarly Writing and Communication Skills (2009)
• Certificate in Academic organization and leadership training (2007)
• Course on ISO 9000 series for Total Quality Management (2000

Professional membership

• Registered Member, Architects Registration Board Member, Uganda Society of Architects

Conferences/workshop papers presented

• Mukiibi, S., Nnaggenda-Musana A., Namuganyi, L., Machyo, J. and Ngabirano A. (2014 ). People are not Bees. A paper presented at the Global Challenges University Alliance Workshop on Green and Sustainable Cities – The Role of Landscape Architecture, Uppsala, Sweden, March 2014.
• Mukiibi, S. (2011) The effect of urbanisation on the housing conditions of the urban poor in Kampala, Uganda, pp.37-42. Paper presented at The Second International Conference on Advances in Engineering and Technology (AET 2011) , held at Imperial Resort Beach Hotel Entebbe, Uganda on January 30 – February 1, 2011. ISBN: 978-9970-214-00-7
• Mukiibi S. , (2011) An evaluation of Factors that have influenced housing policy development in Uganda, pp. 43 -49. Paper presented at The Second International Conference on Advances in Engineering and Technology (AET 2011) , held at Imperial Resort Beach Hotel Entebbe, Uganda on January 30 – February 1, 2011. ISBN: 978-9970-214-00-7
• Mukiibi S ., and Khayangayanga, D. (2007). Implementing the enabling shelter strategy in Uganda. Proceedings of Conference on Collaborative Research for Technological Development, Kampala-Speke Resort Hotel Munyonyo, Uganda 17 th – 21 st December 2007.
• Mukiibi, S . and Nakiyingi, J. (2005). Utilisation of the indigenous architecture in low-cost housing for slum improvement: The case study of Nakulabye and Naguru. A paper was presented at the AICAD Headquarters under the theme : Industrialization processes/policy and implementation and community development on 13 th September, 2005.

Research project history

• Innovation and Digitalisation pathways for more affordable housing in Sub-Saharan Africa – Higher Education Partnership in Sub-Saharan Africa (HEP SSA) under the Royal Academy of Engineering (2024-2025)
• Slum upgrading in Uganda under Phase II of the Slum Upgrading Programme (PSUP II) partnership with the Ministry of Lands, Housing and Urban Development and World Bank (2014-2015).
• Utilisation of indigenous architecture in low-cost housing for slum improvement under AICAD (2001-2012).

Published books

• Musinguzi, M., Bagampadde, U., Alinaitwe, H., Mukiibi, S., and others (2007) How to get a quality PhD from Faculty of Technology, Makerere University – A Handbook for PhD Students, Makerere University ISBN 9970-812-05-8. Mixiprint Olofstrom, Sweden printers

Published Book Chapters

• Were, A.G., Mukiibi, S., Majale, M. and Nawangwe, B. (2024). Social innovation of workplaces in the built environment: How public spaces have become central workplaces – Lessons from Kampala City, Uganda. In E. Werna and G. Ofori (Eds.), Routledge Handbook on Labour in Construction and Human Settlements: The Built Environment at Work (p.263-274). Routledge, London & New York. (Book Chapter), https://lccn.loc.gov/2023030299.
• 2. Mukiibi, S. (2014) Case Method as a Way of Teaching Architecture. In J. Duminy, J. Andreasen, F. Lerise, N. Odendaal, V. Watson (Eds.), Planning and the Case Study Method in Africa: The Planner in Dirty Shoes (pp. 179-201). Palgrave Macmillan, link.springer.com/chapter/10.1057/9781137307958_8

Published Journal Articles

• Nakiwala, M., Mukiibi, S ., Kiggundu, A. T., & Elias, H. (2023) Examining Awareness, Attitudes, and Challenges of Owner Developers Regarding Mortgage Financing Eligibility Terms in GKMA, Uganda. East African Journal of Business and Economics , Vol. 6, no. 1, Oct. 2023, pp. 456-471, doi:10.37284/eajbe.6.1.1512.
• Haruna, A. C., Mukiibi, S ., & Nnaggenda-Musana, A. (2023). Gender Analysis of Sustainable Housing Choices of Rental Household Heads in Abuja Municipal Council, Nigeria. CSID Journal of Infrastructure Development , 6(1). https://doi.org/10.7454/jid.v6.i1.1083
• Nakiwala, M., Mukiibi, S. , and Kiggundu, A. T. (2022). Mortgage Financing: Access, Knowledge, Attitudes and Challenges Experienced by Urban Housing Developers . International Journal of Finance and Accounting , Volume 1, Issue 1, 2022: 47-56. https://doi.org/10.37284/ijfa.1.1.1030
• Haruna, A.C., Mukiibi, S ., Nnaggenda-Musana, A. and Kiggundu-Tamale, A. (2022). Strategies for mitigating rental cost burden by household heads in Abuja municipal. Ethiopian Journal of Environmental Studies & Management 15(6): 794 – 802, 2022. doi: https://ejesm.org/doi/v15i5.8
• Mukiibi, S. (2022). Foster Urban Growth through Green Growth Practices in Secondary Cities: A case study of Uganda., Africa Habitat Review , Vol.16, Issue 1, pp.2323-2330.
• Were, A., Mukiibi, S., Nawangwe, B., Mukwaya, P., Nakangu, B., Nambatya, J., Kisitu, D. (2022). A Spontaneous Location Theory and How Street Vendors Acquire Spaces (Case Study: Kampala City – Uganda),  International Journal of Architecture and Urban Development , Vol. 12, No.3, pp. 5-15. doi: 10.30495/ijaud.2021.58555.1510.
• Byagaba, E. and Mukiibi, S. (2021). The Relationship between Public Transport and the Location of Shanty Settlements in Kampala City. East African Journal of Business and Economics , Vol, 3, Issue 1, 2021 pp.130-146, DOI: https://doi.org/10.37284/eajbe.3.1.365
• Mukiibi, S. and Machyo, N. (2021) Housing Transformation in Kampala, Uganda: Causes and Opportunities. East African Journal of Environment and Natural Resources . Vol.3, Issue 1. pp. 64-85.
• Mukiibi, S. (2020). Housing provision in an environment of rapid urbanization: a case of Uganda. International Journal of Social Science and Technology . Vol. 5, No.1, pp. 1 -13.
• Mukiibi, S. (2018) The emergence of slums: planning sites and services and upgrading, IGLUS Quarterly , Vol. 4, Issue 2, pp 17-21.
• Willibald, O., Mukiibi, S. and Limbumba, T. (2018) Understanding residential mobility. American Journal of Engineering Research , Vol. 7 Issue 5, pp. 503-507.
• A. and Mukiibi, S. (2016) The Impacts of Informal Settlement Upgrading on Housing Affordability: The Experience of Hanna Nassif in Dar es Salaam, Tanzania. Journal of Africa Habitat Review , Vol. 10 Number 10. Pages 921 – 929. Nairobi.
• Kayom, W., Sengendo, H. and Mukiibi, S. (2015) Is human resources available to carry out physical planning in Uganda? International Interdisciplinary Journal of Scientific Research , ISSN:2200-9833 iijsr.org . Vol. 2. No. 2, pp.18-32.
• Kayom, W., Sengendo, H. and Mukiibi, S. (2015) The role of community participation in planning processes of emerging urban centres. A study of Paidha town in northern Uganda. International Refereed Journal of Engineering and Science (IRJES). ISSN (online) 2319-183X (Print 2319-1821. Vol 4, Issue 6 (June 2015), pp. 61-73.
• Kayom, W., Sengendo, H. and Mukiibi, S. (2015) An assessment of the relationship between the availability of financial resources and physical planning process in the emerging urban centre of Paidha, north-western Uganda. International Refereed Journal of Engineering and Science (IRJES). ISSN (Online) 2319-183X, (Print) 2319-1821, Vol. 4, Issue 7 (July 2015), pp. 05-12.
• Mukiibi, S. (2015) The Potential of Local Building Materials in the Development of Low-Cost Housing in Uganda. International Journal of Technoscience and Development, Vol. 2, Issue 1, 2015 . ISSN 2001-2837
• Lawino, M. and Mukiibi, S . and Omolo, F. O. (2015) An Investigation of Public Participation Processes in the Preparation of the 1994 Kampala Structure Plan. International Journal of Technoscience and Development, Vol. 2, Issue 1, 2015 . ISSN 2001-2837
• Mukiibi S ., and Khayangayanga, D. (2014) Uganda’s experience in implementing enabling shelter . International Journal of Technoscience and Development, Vol. 1, Issue 1, 2014 . http://technoscience.se/ijtd/vol-1-issue-1-2014/
• Kiggundu T. A. And Mukiibi S. (2012) Land use and transport planning in the greater Kampala, Uganda. Indonesian Journal of Geography , Vol. 44, no. 1.
• Mukiiibi, S . (2010) An analysis of housing conditions in Kampala’s low-income settlements, pp. 70-89. Journal of Environmental Planning and Architecture , Vol.1, No. 1

Makerere University PhD Courses Offered

Makerere University PhD Courses Offered – Check the list of doctoral degree programs offered at Makerere University…

DOCTORAL DEGREES BY COURSEWORKS AND DISSERTATIONS

• PhD in Health Science
• PhD in Agricultural and Rural Innovation
• PhD in Data Communication & Software Engineering
• PhD in Computer Science
• PhD in Information Technology
• PhD in Information Systems
• PhD in Information Science
• PhD in Educational Management
• PhD in Plant Breeding and Biotechnology
• PhD in Economics

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5 thoughts on “ Makerere University PhD Courses Offered ”

I would like to apply for PhD in Educational Management by Coursework 2021/2022 ACADEMIC Year. I request to know the deadline and requirements.

I would like to apply for PhD in Social Sciences by Research 2021/22 Academic year and my preferred topic is “Public Policy and Strategic Management”

I would like to apply for masters in Public Health y course work 2022/2023 ACADEMIC Year, Via full tome i want to know the deadline and requirements. and the tuition fee for completing the course.

I would like to apply for PhD in Educational Management 2021/2022 ACADEMIC Year. Kindly provide me with detailed information on the above programme.

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Invitation to a Public PhD Defense for Richard Mayanja: Friday 10th May 2024

April 20, 2024 PhD Defense

The Dean, School of Biomedical, Makerere University College of Health Sciences invites you to be part of Richard Mayanja’s Public PhD Defense scheduled for  Friday 10th May 2024  at  10:00 AM (EAT).  See details below:

PhD Candidate:  Richard Mayanja

Title:  Genetic Determinants of Kidney Function in Sub-Saharan Africa

Date:  Friday 10th May 2024

Time:   10:00 AM (East African Time)

Venue:  Online and MakCHS BoardRoom

Join Zoom Meeting https://zoom.us/j/92313800716?pwd=bjUvaHNyUFpnbVVacjFsNHJLQnNUQT09

Meeting ID:  923 1380 0716 Passcode:  158038

Opponent/ External Examiner

Prof Ananyo Chondhury University of Witwatersrand (Johannesburg, South Africa)

Supervisors

Prof. Segun Fatumo Department of Non-Communicable Diseases, Medical Research Council/ Uganda Virus Research Institute (MRC/UVRI) and London School of Hygiene and Tropical Medicine (LSHTM) Uganda Research Unit, Entebbe, Uganda

Dr. Tinashe Chikowore Brigham Women’s Hospital and Harvard Medical School Boston, Massachusetts, United States

Dr. Daudi Jjingo African Centre of Excellence in Bioinformatics (ACE-B), College of Computing Makerere University, Kampala-Uganda

Dr. Obondo J. Sande Department of Immunology and Molecular Biology, Makerere University, Kampala-Uganda

Internal Examiners

Dr. Misaki Wayengera, Senior Lecturer, Department of Immunology and Molecular Biology, Makerere University, Kampala-Uganda

A/Prof. Nicholas Bbosa, London School of Hygiene & Tropical Medicine, UK. Department of Infection Biology, Faculty of Infectious and Tropical Diseases. Scientist/Project Leader, Medical Research Council Uganda Research Unit

Defense Chair

Assoc. Prof. David P. Kateete, Dean, MakCHS School of Biomedical Sciences

Click here to Download poster

• Richard Mayanja

previous Invitation to a Public PhD Defense for Christopher Kintu: Friday 3rd May 2024

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Natural Sciences

Conas annual report 2023.

The College of Natural Sciences (CoNAS) is one of the 10 constituent Colleges of Makerere University with over 2,000 students and 153 members of staff spread across 2 schools and seven departments namely: School of Physical Sciences (Physics, Chemistry, Mathematics, Geology and Petroleum Studies) and School Biosciences (Departments of Plant Sciences, Microbiology and Biotechnology; Department of Zoology, Entomology and Fisheries Sciences; and Department of Biochemistry and Sports Sciences). The College is the cradle of basic sciences at Makerere providing a foundation for all applied sciences offered at the University. This report is a presentation of the performance of the College in 2023.

Key highlights include performance of the College at the 74 th graduation of Makerere University , the award of an Honorary Doctor of Science to Prof. Leif Abrahamsson for his contribution to the development of Mathematics in the East African region, the development of an E-Supervision Web Portal ( https:/mastersresearch.ug/ ) to support the tracking of Masters Research supervision processes, the formation and operationalization of the Biology Society of Uganda (BioSU), support rendered towards the development of aquaculture in the country, the development of five high-value nutritious products (baby food, sauce, maize meal, snacks, and seasoning) using Mukene through the NutriFish Project, the development of an application for tracking fish catches as a measure to prevent overfishing, development of solar tent driers – greenhouse-like structures that reduce the risk of contamination – provide clean and efficient storage and drying, especially during the wet season subsequently reducing post-harvest losses, equipping students and members of the general public with skills needed in the installation and maintenance of solar energy Photovoltaic systems and biogas plants, the Joint African- Nordic Conference in Mathematics, as well as the 2023 Eastern Africa Algebra Research Group and Women in Sage workshops. The report also highlights the research grants received in the course of the year, conferences held, community engagements, activities by students, awards received by the different members of staff, staff publications, and matters of Human Resources at the College.

Management conveys appreciation to all development partners and the Government of Uganda for the support extended towards the different projects at the College. We also thank the University Council and Management for creating a conducive environment for both staff and students to explore their full potential.

Equipping Students with Bioprospecting and Product Development Skills

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As we train Scientists we ought to equip them with skills that will help them survive beyond the Laboratories, beyond University, and beyond Academia. Thus, the need to Bioprospect and acquire product development skills. I am therefore proud of what my 2024 Biotechnology Product Development Class has been able to achieve. Following bioprospecting and entrepreneurial training, students developed the following products: Exotic beard oil, Herbal cough mixture, Power candy, Laundry bar soap, Moringa snack bars, Prudy Organic hair dye, Hair food, Syphilis remedy, Cornstarch based bioplastic, Nash probiotic drink, Dental care herbal mouthwash, Rosemary – lemongrass infused vinegar, Tea tree hand wash, Scented candles, Aloe fruit jam, Herbal bloom shower gel, Custard, Beetroot yoghurt, Dewormer, Stomach pain killers, Liquid organic fertilizers, Face scrub, Mosquito repellant scented air diffuser, Underarm whitening oil, Essential oil deodorant, Ria hair conditioner, Shower gels, Crochet jacket among others. I am confident that with subsequent incubation, start-ups will emerge.

“The future belongs to those who learn more skills and combine them in creative ways.” Robert Greene

“Build your skills not your resume.” Sheryl Sandberg

Dr. Alice Nabatanzi is a Lecturer of Phytomedicine and Nutraceuticals in the Department of Plant Sciences, Microbiology and Biotechnology, School of Bio-sciences, College of Natural Sciences (CoNAS), Makerere University .

Photo Gallery of some of the products

15 PhD Positions: Human River Systems in the 21st century

Highly qualified applicants from all over the world are invited to apply for the PhD Program “Human River systems in the 21 st century (HR21)”. The 15 positions are fully funded and the Doctoral Programme is providing additional resources for conference presentations, retreats etc.

The 15 PhD research topics are:

• Topic 1: Role of hydrological extremes (floods) for sediment transport and morphodynamics in the human-river system
• Topic 2: Material resources demand and flows of hydraulic structures to prevent societal impact of extreme events (social ecology, environmental history)
• Topic 3: Intermittent flow – hydrological effects and impacts on benthic communities, ecological state and functioning of riverine systems
• Topic 4: Drought, low flow and warming – hydrological effects and impacts on the ecological state and functioning of river systems
• Topic 5: Water transit time distributions as indicators for the vulnerability of riverine ecosystems under different pressures from social metabolism
• Topic 6: Analyzing possible contributions of re-activated former watercourses towards a more sustainable transformation of industrialized riverine landscapes in urban areas
• Topic 7: The role of the latest industrial revolutions on instream processes and ecological vulnerability of IRL
• Topic 8: The effects of infrastructure development on ecological and ecosystem service network properties in river systems
• Topic 9: The impact of urban settlements on organic matter and nutrient flows in industrialized riverine landscapes – What can we learn from the past?
• Topic 10: Urban metabolism, a river’s ecohydrology and industrialization: Vienna and the Danube, 1800-2000
• Topic 11: Impact of external organic matter sources on nutrient, sediment and water transport from cropland into streams
• Topic 12: Impacts of bioenergy crops used as riparian buffer strips on stream ecosystems’ functioning
• Topic 13: Sustainable hydropower & and the water-energy-food nexus in multi-stressed IRLs: Challenges and solutions for science & management
• Topic 14: Integrated modelling of farmers’ climate change impact and adaptation appraisal to inform regional human river nexus management
• Topic 15: Strategic planning approaches to territorial governance of industrialized riverine landscapes

For more information, please visit: https://short.boku.ac.at/q9ry2k

Application deadline: 2 nd April 2024

Dr. Tugume Patience Wins OWSD Early Career Fellowship

Dr Tugume Patience, a Lecturer in the Department of Plant Sciences, Microbiology and Biotechnology at the College of Natural Sciences (CoNAS), Makerere University is one of the 28 women who have been granted the 2023 OWSD Early Career Fellowship .  These scientists will receive up to USD50,000 to lead research projects and establish research groups at their home institutions in 16 countries in the developing world, to maintain an international standard of research and attract scholars from all over the world to collaborate. Funding for the fellowships is generously provided by  Canada’s International Development Research Centre (IDRC).

During the 3-year fellowship, fellows will receive specific training to build on their leadership and management skills and develop connections with a variety of public and private sector partners to potentially convert their research into marketable products or guarantee its impact on a broader scale. By improving their communication and outreach skills, fellows will also learn to effectively present their research to various audiences, thus attracting new collaborators and potential funders to ensure the sustainability of the research project.

Dr Tugume’s Project – Biological Systems and Organisms

This project will use various forms of bio-wastes from households and urban centres in Uganda as raw materials for production of biogas, as well as an eco-friendly bio-fertilizer and bio-pesticide. Large amounts of unconsumed food are often thrown away in homes and urban centres that could be converted into useful products that would supply energy, enhance agricultural productivity and reduce deforestation. This project will construct anaerobic bio-digester tanks to process different kinds of bio-waste into biogas, a renewable energy source, and evaluate yields of biogas from different bio-wastes and combinations of bio-wastes. It will additionally produce a bio-fertilizer to enrich soil and a bio-pesticide to manage agricultural pests. The project will also equip households with the skills to biologically convert wastes into value-added products, training women and youth in biogas production and usage.

Details on the fellowships at: https://owsd.net/news/news-events/introducing-2023-owsd-early-career-fellows

Congratulations Dr Tugume

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When it comes to sustainability and environmental impact, this Northeastern Ph.D. grad is at the ‘forefront of innovation’

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Looking at doctorate programs, Abhijeet Parvatker found a perfect match in Northeastern and Matthew Eckelman, a professor of civil, environmental and chemical engineering.

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Before arriving at Northeastern University to pursue a doctoral degree, Abhijeet Parvatker worked as a research engineer at one of the world’s largest petrochemicals manufacturers. 

He was a part of a team that measured sustainability of the company’s products, primarily produced from natural gas.

“There is generally a lot of pressure from stakeholders to understand the environmental impacts that the products have,” Parvatker says. 

He used one of the most common methodologies — life-cycle assessment — that evaluates how a product or service impacts the environment over the course of its life cycle, from the moment raw materials are extracted to manufacture the product, to when it is discarded.

Although the life-cycle assessment methodology was standardized, Parvatker says, it was challenging to find the data needed to determine consumed energy, carbon dioxide emissions or toxicity. 

“I soon realized that there are a lot of gaps in this,” he says. “The methods to get to the data are not as evolved, and I wanted to do a Ph.D. with that focus.”

Looking at doctorate programs, Parvatker found Northeastern and Matthew Eckelman , a professor of civil, environmental and chemical engineering, who was doing research in the exact area he was interested in. 

From then on, his life’s work started to take on a larger meaning.

“It was a really good fit for a research project that I had just gotten funded from the National Science Foundation,” Eckelman says. “I felt like he had the experience to carry out this project.”

Parvatker’s research looks at developing new methods and models for generating data for life-cycle assessments and evaluating the sustainability of different chemicals and chemical manufacturing processes.

“There’s something like tens of thousands of chemicals in commerce,” Eckelman says. “We have inventory information on maybe a couple thousands.”  

It was a big and ambitious project, he says, but Parvatker has made a lot of progress. And it’s been extremely useful, Eckelman says, to the global community.

“I am always getting questions about papers that Abhijeet and I wrote together,” Eckelman says. “People wanting to use the data, wanting to adapt the techniques that we use to generate the data.”

Another project Parvatker worked on was analyzing the environmental impact of intravenous anesthetic drugs used by medical institutions.The health care sector makes a considerable contribution to America’s GDP, Eckelman says, which means that to reduce the country’s carbon dioxide output into the atmosphere, health care must become more sustainable. 

However, pharmaceutical companies don’t share much data about the inputs of chemicals they use in a drug, Parvatker says, for proprietary or other reasons.

He used chemical engineering principles, process design and physics and chemistry knowledge about these products to calculate inputs and outputs. He looked at 20 intravenous anesthetic drugs and about 140 different chemicals, building life-cycle inventory data for them.

“It’s still the largest study in the pharmaceutical sector for those chemicals,” he says.

Together, Parvatker and Eckelman wrote some of the first papers about the contribution of the health care industry to national and global emissions.

“These numbers are quoted all the time,” Eckelman says. “And then the National Academy of Medicine opened up this big effort called the Action Collaborative on Decarbonizing the U.S. Health Sector. And now we’re invited to be a part of that because of his work.”

Parvatker earned his undergraduate degree in chemical engineering back home in India and his master’s degree in advanced process integration and design from the University of Manchester before being accepted into Northeastern’s Ph.D. program.

Parvatker says the university takes experiential learning to the next level by encouraging students to apply their research in the real world through programs such as LEADERs .

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Short for Leadership Education Advancing Discovery through Embedded Research, LEADERs is a customized internship program for Northeastern doctoral students and postdoctoral researchers.

Parvatker credits the program — and his internship at Wayfair that resulted from it — for introducing him to the world of sustainability consulting. At Wayfair, he was tasked with creating guidelines for vendors on the use of chemicals based on the U.S. and the EU regulations. He also gained experience in chemical safety and supply chain management.

After completing his doctoral degree program, Parvatker was offered a full-time job at Sphera Solutions, a provider of consulting services, data and software solutions for risk management and monitoring of environmental, social and governance performance. 

He currently manages a team of five sustainability consultants who help companies with large product portfolios address their sustainability challenges, automate calculations and reports on ESG with Sphera’s software. 

“Imagine companies that have tens of thousands and millions of products,” Parvatker says. “With some initial effort of six months to one year, you can scale the life-cycle assessment methodology to the entire product portfolio and calculate all the life-cycle assessment results for tens of thousands of products in hours.”

Parvatker loves working with different companies, different processes and different people.

“In this space of the implementation of this methodology, we are always at the forefront of innovation,” he says.

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Research Proposal and Thesis Format

This is a written presentation of an intended research specifying the problem, the purpose, scope/objectives, methodology, references and the financial plan/budget. A synopsis is an outline of the research proposal of 3-5 pages length (including references) which is currently required for provisional admission to Ph.D and other doctoral degree studies at Makerere University.