Pure and Applied Mathematics (M.Sc. and Ph.D.)
African University of Science and Technology
The Pure and Applied Mathematics program offers a comprehensive curriculum designed to bridge theoretical insights and practical applications. Students explore a wide range of mathematical disciplines, from abstract concepts in analysis to real-world problem-solving in optimization, machine learning, mathematical oncology and probability and statistics. The program equips graduates with critical thinking, analytical, and quantitative skills applicable in academia, industry, and research. Whether driven by a passion for mathematics as a pure science or its applied potential, this program nurtures versatile mathematicians ready to tackle complex challenges across diverse fields.
The general aim of the program is to equip the student with the mathematical skills to solve real-life problems using data driven modern computationally-intensive methods. The program, therefore, has a professional orientation, emphasizing applications and applicable theory. In particular, students will have strong background in Matrix Theory, Advanced Calculus, Foundation of Mathematical Analysis, Classical ODEs and PDEs, Theory of ODEs, Calculus in RN, Metric and General Topology, Complex Analysis, Sobolev Spaces and PDEs, Functional Analysis, Measure Theory, Lebesgue Spaces and Integration, Convex Analysis and Optimization.
The program consists of course units ranging in credit value from 2 to 4, with the majority being 3-credit courses, in line with the credit rating for similar courses at many U.S. universities. Completion of a total of 36 credit hours of coursework and a project is required for award of the degree. All courses will be taught and assessed on the basis of any combination of continuous assessment, examinations, and practical or lab-based activities. A letter grade will be awarded for each course completed. Courses will be offered over 3 semesters (18 calendar months), to cover 18 credits during each session and MSc dissertation.
Admission requirements for the MSc program include a Bachelor’s degree in relevant field with a second class lower (minimum CGPA of 2.20 on a 4-point scale and 2.75 on a 5-point scale). The candidate must obtain a minimum CGPA of 3.0 to graduate from the program. The programme is very intensive and only well-motivated and prepared students are encouraged to apply. The courses are taught during weekend for 36 to 40 hours, including lectures and problem-solving sessions. Details of the course outline are in the handbook. The Problem Based Learning (PBL) and Outcome Based Education (OBE) approaches are used in teaching. Admission requirements for the PhD program includes Master’s in Mathematics (with CGPA of at least 3.0 on a 4-point scale and 3.5 on a 5-point scale).
For more details on course description, fees, faculty, visit: www.aust.edu.ng or send email to: dap@aust.edu.ng