Duration: 3-5 years

Fee Paying: No

Admission Requirements

A prerequisite for admission into the programme is a good M.Sc. (with thesis) or its equivalent in mathematics or any other related discipline. Of course, students with previous research experience will have an additional advantage.

Objectives

This programme is aimed at

  • Creating a vibrant research environment in mathematics and related fields at the University of Buea.
  • Providing advanced training in mathematics and its applications to postgraduate students having a good M.Sc. degree (with thesis) or its equivalent in mathematics or any other related discipline.
  • Providing a basis for training man power for industries and higher educational institutions.
  • Opening up possibilities for scientific collaboration with partner institutes at the level of students’ training and supervision.

Graduation Requirements

The first year of the programme is dedicated to course work based on the credit system and a student is expected to earn at least60 credits and pass a comprehensive examination, before proceeding to write a doctoral thesis. Out of the60 credits at least24 and at most36 must be from one speciality. Courses are structured in the form of lectures, discussions or seminars. Course work shall be examined through written examination, written assignments and seminar presentations. Each student is expected, at the end of his/her programme, to publicly defend his/her thesis before an appointed panel. The Ph.D. degree in mathematics will be awarded only on the recommendation of the panel.

Employment Opportunities

The programme is conceived in such a way that graduates, depending on their specific specialities, can seek for employment in Institutions of Higher Learning, Industries, Banking and Insurance Sector or in the Social Sector. Furthermore, graduates will be endowed with sufficient skills to be self-employed as consultants or soft-ware developers.

Courses

Compulsory Courses

MATPhDCompulsoryCourses

  1. MAT785: Research Methodology and Scientific Writing
  2. MAT786: Communication Skills
  3. MAT792: Research Seminars
  4. MAT794: Scientific Computing
  5. MAT796: Comprehensive Examination in Mathematics
  6. MAT798: PhD Thesis Research in Mathematics

 

Elective Courses

MATPhDElectiveCourses

  1. MAT702: Infinite Abelian Groups
  2. MAT703: Advanced Theory of Rings and Modules
  3. MAT704: Homological Algebra
  4. MAT705: Category Theory
  5. MAT706: Algebraic Topology
  6. MAT707: Commutative Algebra
  7. MAT708: Differential Manifolds
  8. MAT709: Topics in Real Analysis
  9. MAT710: Topics in Real
  10. MAT711: Topics in Complex Analysis
  11. MAT712: Topics in Topology
  12. MAT713: Topics in Functional Analysis
  13. MAT714: Numerical Methods for Partial Differential Equations: The Finite Element
  14. MAT715: Topics in Partial Differential Equations
  15. MAT716: Scientific Computing and Software Development
  16. MAT717: Topics in Numerical Analysis
  17. MAT718: Continuum Models
  18. MAT719: Mathematical Foundation and Elasticity
  19. MAT720: Asymptotic Perturbation Methods
  20. MAT722: Advanced Queuing Topics
  21. MAT723: Nonlinear Partial Differential Equations
  22. MAT724: Applied Statistical Analysis
  23. MAT725: Topics in Nonlinear Ordinary Differential equations
  24. MAT726: Multi Objective Decision Analysis
  25. MAT727: Mathematical Modelling
  26. MAT728: Introduction to Random Dynamical Systems
  27. MAT729: Discrete: DNA Testing and Forensic statistics
  28. MAT730: Statistics of Random Processes II
  29. MAT731: Operations Research Practice
  30. MAT732: Advanced Topics in Mathematical Programming
  31. MAT733: Advanced Topics in Random Models
  32. MAT734: Discrete and Algorithmic Mathematics
  33. MAT735: Discrete System Simulation
  34. MAT737: Semimartingales
  35. MAT739: Statistics of Random Processes I
  36. MAT741: Topics in Hypergeometric Orthogonal Polynomials and Special Functions