Mission

The Department of Mathematics aims at providing instruction in mathematics at both the Bachelors Degree and Postgraduate levels, and to carry out scientific research adapted to the changing needs of the society. The Bachelors Degree programme is designed to provide tools for mathematical techniques and thinking in such a way as to enable the graduates to find gainful employment in areas where mathematical knowledge is required and to have the adequate background necessary for the pursuit of studies and research in mathematics, computational sciences and related disciplines at the postgraduate level. The postgraduate programme is designed in such a way that graduates, depending on their specific specialties, can seek 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. The Department, through its programmes, also seeks to satisfy the evolving needs of the mathematicians, computational scientists and users of mathematics.

Admission Requirements

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BSc Programmes

Candidates with General Certificate of Examinations (GCE) Background

GCE Advanced Level

  • Pass in GCE Advanced Level (minimum of 2 subjects)
  • Must have subjects: Either:
    • Mathematics (with minimum of Grade C) OR
    • Further Mathematics (with minimum of Grade D)
  • Subjects not considered: Religious Studies

GCE Ordinary Level

  • Pass in GCE Ordinary Level (minimum of 4 subjects)
  • Must have subjects: Mathematics
  • Subjects not considered: None

 

Candidates with BAC Background

  • BAC Series C
  • Probatoire Series C

MSc Programmes

MSc in Mathematics

Candidates must hold at least a Second Class (honours) Lower Division or Mention “Assez Bien” degree or equivalent in the required field of studies from a recognized university.

PhD Programmes

PhD in Mathematics

Teaching Staff

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  1. Nkemzi Boniface Belagoa, PhD (Technical University of Chemnitz, Germany)
    Professor, Mathematical and Numerical Analysis
  2. Nana Cyrille, PhD (University of Yaounde)
    Associate Professor, Harmonic Analysis
  3. Agbor Dieudonne Agbor, PhD (University of Yaounde I)
    Associate Professor, Classical and Harmonic Analysis
  4. Ngwa Gideon Akumah, PhD (University of Oxford, UK)
    Associate Professor, Mathematical Modelling
  5. Dor Celestine Kewir, PhD (University of Buea)
    Senior Lecturer, Theory of Rings and Modules, Relative Homological Algebra
  6. Tchuiaga Stephane, PhD (University of Abomey Calavi, Benin Republic)
    Senior Lecturer, Mathematics
  7. Nkeck Jake Leonard, PhD (University of Buea)
    Lecturer, Numerical Analysis
  8. Fomboh Nee Nforba Mary Yah, PhD (University of Buea)
    Lecturer, Mathematical Modelling
  9. Ndambomve Patrice, PhD (African University of Science and Technology, Abuja, Nigeria)
    Lecturer, Partial Differential Equations and Mathematical Control Theory
  10. Alexander Mengnjo, PhD (University of Buea)
    Assistant Lecturer, Probability

Degree Programmes

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Courses

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BSc Courses

  1. MAT201: Calculus I
  2. MAT202: Calculus II
  3. MAT203: Abstract Algebra
  4. MAT204: Linear Methods
  5. MAT207: Mathematical Methods IA
  6. MAT208: Mathematical Methods IIA
  7. MAT211: Mathematical Methods
  8. MAT301: Analysis I
  9. MAT302: Analysis II
  10. MAT303: Linear Algebra I
  11. MAT304: Linear Algebra II
  12. MAT305: Mathematical Probability I
  13. MAT306: Introduction to Mathematical Statistics
  14. MAT307: Introduction to Differential Equations
  15. MAT310: Mathematical Methods III
  16. MAT311: Analytical Mechanics
  17. MAT312: Electromagnetism
  18. MAT314: Analytic Geometry
  19. MAT401: Analysis III
  20. MAT402: General Topology
  21. MAT403: Set Theory
  22. MAT404: Group Theory
  23. MAT406: Mathematical Probability II
  24. MAT407: Complex Analysis I
  25. MAT409: Ordinary Differential Equations
  26. MAT411: Analytical Dynamics
  27. MAT412: Hydromechanics
  28. MAT413: Affine and Projective Geometry
  29. MAT415: Differential Geometry
  30. MAT416: Measure Theory and Integration
  31. MAT417: Calculus of Variations
  32. MAT418: Numerical Methods
  33. MAT419: Elements of Stochastic Processes
  34. MAT420: Elements of Queuing Theory
  35. MAT421: Multivariate Statistics
  36. MAT422: Introduction to Optimization
  37. MAT423: Combinatorics and Graph Theory
  38. MAT498: Research Project

MSc Courses

  1. MAT601: Analysis
  2. MAT602 : Seminars and Communication Skills
  3. MAT603 : Rings an Modules
  4. MAT604: Field Theory
  5. MAT606 : Mathematical Ecology and Biology
  6. MAT607 : Complex Analysis II
  7. MAT612 : Functional Analysis
  8. MAT613 : Partial Differential Equations
  9. MAT614: Numerical Solution of Partial Differential Equations and Application
  10. MAT615: Theory of Stochastic Processes
  11. MAT616: Topology
  12. MAT618: Queuing Theory
  13. MAT619: Deterministic Operations Research Models
  14. MAT620: Stochastic Operations Research Models
  15. MAT621 : Decision Analysis
  16. MAT622: Calculus with respect to Brownian Motion
  17. MAT623: Mathematical Statistics
  18. MAT624: Markov Processes
  19. MAT625: Elements of the Statistics of Random Processes
  20. MAT626: Spectral Theory and Application to Partial Differential Equations
  21. MAT627: Mathematical Probability III
  22. MAT628: Functional and Variational Methods for Partial Differential Equations
  23. MAT629: Theory of Martingales
  24. MAT630: Dynamical Systems and Chaos
  25. MAT631: Computer Algebra I
  26. MAT632: Hypergeometric Orthogonal Polynomials and Special Functions
  27. MAT633: Nonlinear Ordinary Differential equations
  28. MAT634: Applied Statistics and Stochastic Models
  29. MAT635 : Numerical Methods for Ordinary Differential Equations
  30. MAT637 : Numerical linear algebra
  31. MAT684: Research Methodology and Scientific Writing
  32. MAT686 : Research Seminars and Communication Skills
  33. MAT689: Entrepreneurship
  34. MAT691: Research Methodology and Scientific Writing
  35. MAT696: Pre-defence Seminar
  36. MAT698: MSc Thesis

PhD Courses

  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. MAT721: Introduction to Fluid Mechanics
  21. MAT722: Advanced Queuing Topics
  22. MAT723: Nonlinear Partial Differential Equations
  23. MAT724: Applied Statistical Analysis
  24. MAT725: Topics in Nonlinear Ordinary Differential equations
  25. MAT726: Multi Objective Decision Analysis
  26. MAT727: Mathematical Modelling
  27. MAT728: Introduction to Random Dynamical Systems
  28. MAT729: Discrete: DNA Testing and Forensic statistics
  29. MAT730: Statistics of Random Processes II
  30. MAT731: Operations Research Practice
  31. MAT732: Advanced Topics in Mathematical Programming
  32. MAT733: Advanced Topics in Random Models
  33. MAT734: Discrete and Algorithmic Mathematics
  34. MAT735: Discrete System Simulation
  35. MAT737: Semimartingales
  36. MAT739: Statistics of Random Processes I
  37. MAT741: Topics in Hypergeometric Orthogonal Polynomials and Special Functions
  38. MAT785: Research Methodology and Scientific Writing
  39. MAT786: Communication Skills
  40. MAT792: Research Seminars
  41. MAT794: Scientific Computing
  42. MAT796: Comprehensive Examination in Mathematics
  43. MAT798: PhD Thesis Research in Mathematics