Master of Science in Mathematics
- Programme Code: MSM
- Duration: 2 Years
- Study time: Fulltime
- Intake: August
Overview
Mathematics is the backbone of the natural sciences and many other areas of life as it is found in all other science subjects, i.e. technology, business/financial institutions, ICT and government sectors like fisheries, environment, transport and health. The programme shall provide first-hand knowledge, experience and applications of advanced mathematics to foster students’ research experience. It will be run on a regular basis during the day. It will be based on course work and dissertation. An applications-based approach will be taken where applications of several of the courses to biology, economics, physics, and engineering will be explored.
The objectives of this programme are to train professional mathematicians capable of giving high-quality service delivery to institutions and industries of diverse backgrounds, and in a variety of social and cultural settings; equip students with skills that will enable them to undertake research in the subject itself, and participate in innovations to solve real problems; develop problem-solving potential and research interest of students by exposing them to problem situations and by mentoring them through the research process; and develop an interdisciplinary approach and collaboration across scientific fields to stimulate growth.
Entry Requirements
Candidates intending to enter the MSc. Mathematics programme must have at least one of the following qualifications:
- Holders of PGD Mathematics in any recognized University in compliance with NCHE guide lines for PGD Mathematics. However, the course work part of the programme may be subject to a waiver so that such students can proceed to the research part of the programme or do selected courses to make up for the deficit.
- Holders of at least second class lower in Bachelor of Science with Mathematics as a major subject from a recognised University.
- Holders of at least second class lower in BSc. Education combined honors with a major in Mathematics from a recognised University.
- Holders of BSc. Engineering in any of the Engineering programmes with at least second class lower from a reputable University.
Fees Structure
- Tuition Fees per Semester (East African): UGX 1,500,000
- Tuition Fees per Semester (Non East Africans): $730
Application and selection
Course details
Year One Semester One | |||||||||||||||
Course Code | Course Title | LH | PH | CH | CU | ||||||||||
MTH 7101 | Advanced Partial Differential Equations | 45 | 30 | 60 | 4 | ||||||||||
MTH 7102 | Advanced Functional Analysis | 60 | 00 | 60 | 4 | ||||||||||
MTH 7103 | Computer Programming and Applications | 15 | 90 | 60 | 4 | ||||||||||
MTH 7104 | Measure Theory and Integration | 60 | 00 | 60 | 4 | ||||||||||
MTH 7105 | Research Methods | 45 | 30 | 60 | 4 | ||||||||||
MTH 7106 | Operations Research | 30 | 60 | 60 | 4 | ||||||||||
Semester Credit Units | 24 | ||||||||||||||
Year One Semester Two | |||||||||||||||
CORE | |||||||||||||||
MTH 7201 | Advanced Numerical Methods | 30 | 60 | 60 | 4 | ||||||||||
MTH 7202 | Applied Dynamical Systems | 60 | 00 | 60 | 4 | ||||||||||
MTH 7203 | Advanced Algebra | 60 | 00 | 60 | 4 | ||||||||||
MTH 7205 | Scholarly Writing and Publication Skills | 60 | 00 | 60 | 4 | ||||||||||
Electives (Choose at least One) | |||||||||||||||
MTH 7206 | Group Theory | 60 | 00 | 60 | 4 | ||||||||||
MTH 7207 | Bayesian Statistics and Applications | 60 | 00 | 60 | 4 | ||||||||||
MTH 7208 | Numerical Linear Algebra | 30 | 60 | 60 | 4 | ||||||||||
MTH 7209 | Advanced Topology | 60 | 00 | 60 | 4 | ||||||||||
MTH 7210 | Differential Geometry | 60 | 00 | 60 | 4 | ||||||||||
Semester Credit units | 24 | ||||||||||||||
Year Two Semester One | |||||||||||||||
Semester I (Choose ANY three) | |||||||||||||||
Course Code | Course Title | LH | PH | CH | CU | ||||||||||
MTH 7301 | Advanced Graph & Network Theory | 45 | 30 | 60 | 4 | ||||||||||
MTH 7302 | Representation & Category Theory | 60 | 00 | 60 | 4 | ||||||||||
MTH 7303 | Semigroup Theory | 60 | 00 | 60 | 4 | ||||||||||
MTH 7304 | Lie Groups and Lie Algebra | 60 | 00 | 60 | 4 | ||||||||||
MTH 7305 | Extreme Value Theory | 60 | 00 | 60 | 4 | ||||||||||
MTH 7306 | Risk, Investment & Portfolio Theory | 60 | 00 | 60 | 4 | ||||||||||
MTH 7307 | Stochastic Control and Applications | 60 | 00 | 60 | 4 | ||||||||||
MTH 7308 | Advanced Mathematical Modelling | 60 | 00 | 60 | 4 | ||||||||||
MTH 7309 | Fluid Dynamics | 60 | 00 | 60 | 4 | ||||||||||
MTH 7310 | Fourier Theory & Finite Element Methods | 30 | 60 | 60 | 4 | ||||||||||
MTH 7311 | Applied Number Theory | 45 | 30 | 60 | 4 | ||||||||||
Semester Course Units | 12 | ||||||||||||||
Year Two Semester Two | |||||||||||||||
MTH 7401 | Research and dissertation | 10 |