### OBJECTIVES

The main objective of the graduate programme in the Department is to equip the prospective research student with the essential tools he would need in discovering and solving mathematical problems. To this end, the course is designed to expose him to as much literature as possible in his chosen field, and to enable him to learn the techniques of problem solving through numerous academic interactions with more experienced members of the Department working in related fields. The area of interest in the department include, special Function Theory, Theory of Loops, Banach algebras, Probability Theory, Information Theory, Fluid Mechanics, Applied Statistics, Mathematical analysis, Group Representations and C*-algebras, Commutative algebras, Computational Mathematics, Stochastic Processes, Numerical Analysis, Dynamical Meteorology and Differential Equations.

The graduate programmed in Statistics aims at meeting the increasing demands for experts in Statistics in Government, Commercial, Industrial, Teaching and Research Institutions. The programmed is divided into two options – A and B. Option A (Mathematical Statistics) is designed for students with strong Mathematical background while Option B. (Applied Statistics) is for those with less mathematical preparation, especially from fields other than mathematics and statistics such as Economics, Demography and Agriculture. The theoretical aspects (option A) are designed for those candidates who may wish to pursue a career in teaching and research, while the applied aspect of the statistics programme will seek to develop competence in data analysis by emphasizing the use of both exploratory and confirmatory methods as well as the use of the computer for data handling and analysis.

Students are urged to acquire some familiarity with a basic programming language such as Fortran as soon as possible. Students will be taught to analyse data from the Biological, Physical and Social Sciences.

### TYPE OF PROGRAMME

The Department offers course work and research leading to the award of the degrees M.Sc., Ph.D in the fields listed above. The M.Sc. degree is a one year programme, while the Ph.D. is a three year programme.

### ENTRY REQUIREMENT

A candidate with a minimum of Second Class Honours degree in Mathematics from the Obafemi Awolowo University or a recognized University may be admitted into the programmed. A candidate with a good honours degree in Physics or Engineering or Mathematics/Education may also be admitted. A candidate may, on the advice of the Chairman Graduate Programmed Committee (Mathematics Department), have to take some 400-level courses if he or she is deficient in those courses.

### DEGREE REQUIREMENT

The courses are divided into three parts: Pure Mathematics, applied Mathematics and Statistics.

- M.Sc. in Pure Mathematics
- 16 units of relevant course work.
- A comprehensive (written or oral) examination on the Candidates specialty;
- A satisfactory seminar;
- Thesis;
- Oral defense.

- M.Sc. in Applied Mathematics
- 20 units of Course work which must include MTH 631 – Mathematical Methods I; MTH 632 – Mathematical Methods II; and MTH 424 – Numerical Analysis II or MTH 642 – Boundary-value and Eigen-value problems I.
- A comprehensive (written or oral) examination on the Candidates specialty;
- A satisfactory seminar;
- Thesis;
- Oral defense.

- M.Sc. in Statistics
- Option A course work consists of four core courses STT 601, 603, 605, 609 and one of the following special courses: STT 608, 612, 613, 614, 615, 616, 617, 618. Option B course work consists of five core courses STT 404, 405, 605, 607, 608 and one of the following special courses. STT 612, 613, 614, 615, 616, 617, 618.;
- A comprehensive (written or oral) examination on the Candidates specialty;
- A satisfactory seminar;
- Thesis;
- Oral defense.

- Ph.D. in Mathematics
- Written or Oral examination on the Candidates specialty;
- Thesis;
- One satisfactory seminar;
- Oral defense.
- A foreign language examination in French, German or Russian.

Every Ph.D. candidate must have a relevant M.Sc. of the University of Ife or equivalent.