Academic Programmes August 29, 2026
Bachelor of Science in Mathematics
August 29, 20263 min read
Programme Description
The programme aims at preparing qualified mathematicians who can serve different sectors in the country and worldwide; which include but not limited to financial institutions, statistical bureaus, research institutions, industries, etc. With that in mind, almost all courses are designed toward tuning students to gain analytical skills which are the main ingredient in all jobs which require mathematicians.
Learning Outcomes
- Demonstrate a deeper understanding of the mathematical concepts of undergraduate level.• Express mathematical concepts and ideas clearly.
- Design and implement computer programmes that can be used to solve different mathematical problems, using different computer Programming languages.
- Identify some specific problem, develop its mathematical model, and then solve it analytically or numerically.
- Manage statistical data and activities in different sectors.
- Plan and conduct sample survey as well as computing different statistics and drawing out some interpretations. 303
- Plan and run different instances of small business.
Programme Structure
Year 1
Semester One
| Code | Course Title | Status | Credits |
|---|---|---|---|
| MT 1101 | Foundation of Analysis | Core | 9 |
| MT 1102 | Linear Algebra and Applications | Core | 10.5 |
| MT 1103 | Coordinate Geometry | Core | 9 |
| ST 1101 | Basic Statistics | Core | 9 |
| IT 110 | Introduction to Information Technology | Core | 7.5 |
| DS 102 | Development Perspectives | Core | 7.5 |
| LG 102 | Communications Skills | Core | 7.5 |
| CP 111 | Principles of Programming | Core | 9 |
Semester Two
| Code | Course Title | Status | Credits |
|---|---|---|---|
| MT 1201 | Mathematical Analysis I | Core | 9 |
| MT 1202 | Ordinary Differential Equations | Core | 9 |
| MT 1204 | Numbers and Polynomials | Core | 9 |
| MT 1205 | Dynamics | Core | 7.5 |
| ST 1201 | Probability Theory | Core | 9 |
| ST 1202 | Operations Research 1 | Core | 9 |
| CP 123 | Introduction to High Level Programming | Core | 9 |
Year 2
Semester One
| Code | Course Title | Status | Credits |
|---|---|---|---|
| MT 2101 | Mathematical Analysis II | Core | 9 |
| MT 2102 | Numerical Analysis I | Core | 9 |
| MT 2103 | Graph Theory and Network Optimization | Core | 7.5 |
| ST 2101 | Probability Distributions | Core | 10.5 |
| ST 2102 | Statistical Inference | Core | 10.5 |
| ST 2105 | Research Methods and Practices | Core | 7.5 |
| CP 213 | Data Structures and Algorithms Analysis | Core | 9 |
Semester Two
| Code | Course Title | Status | Credits |
|---|---|---|---|
| MT 2200 | MATLAB and Problem Solving | Core | 9 |
| MT 2201 | Complex Analysis | Core | 9 |
| MT 2202 | Partial Differential Equations | Core | 9 |
| MT 2203 | Fluid Mechanics | Core | 9 |
| MT 2204 | Numerical Analysis II | Core | 10.5 |
| MT 2105 | Rigid Body Mechanics | Elective | 7.5 |
| MT 2106 | Intermediate Linear Algebra | Elective | 7.5 |
| MT 2204 | Numerical Analysis II | Elective | 7.5 |
| ST 2104 | Operations Research II | Elective | 10.5 |
| SC 121 | Introduction to Methods of Teaching and Learning Science and Mathematics | Elective | 9 |
Year 3
Semester One
| Code | Course Title | Status | Credits |
|---|---|---|---|
| MT 3101 | Abstract Algebra | Core | 9 |
| MT 3102 | Mathematical Analysis III | Core | 9 |
| MT 3103 | Topology | Core | 9 |
| MT 3105 | Stochastic Processes | Core | 9 |
| MT 3109 | Practical Training | Core | 7.5 |
Semester Two
| Code | Course Title | Status | Credits |
|---|---|---|---|
| MT 3200 | Mathematics Project | Core | 9.8 |
| MT 3201 | Basic Functional Analysis | Core | 9 |
| MT 3202 | Introduction to Differential Geometry | Core | 9 |
| EME 211 | Entrepreneurships and Small Business | Core | 9 |
| MT 3104 | Discrete Mathematics | Elective | 7.5 |
| MT 3105 | Introduction to Measure Theory | Elective | 9 |
| MT 3106 | Introduction to Simulation | Elective | 7.5 |
| MT 3107 | Introduction to Mathematical Modelling | Elective | 7.5 |
| MT 3204 | Methods of Mathematical Physics | Elective | 7.5 |
| MT 3205 | Financial Mathematics | Elective | 7.5 |
| MT 3206 | Hydrodynamics | Elective | 9 |
| SC 223 | Mathematics Teaching Methods | Elective | 9 |
| SE 311 | Education Measurement and Evaluation | Elective | 7.5 |
Special Programme Requirements
• There will be 8 weeks Practical training in Year II. • Estimated cost for the Practical Training is TZS 560,000. • Special Project (MT 320: Mathematics Project) in Semester II of Year III. The cost for the Special Project per student is TZS 300,000. • Special Faculty requirement in Semester I of Year I. The amount per student is TZS 100,000.
About the author
Related posts
Academic Programmes August 29, 2026
Bachelor of Science in Statistics
Academic Programmes August 29, 2026
Bachelor of Science in Software Engineering
Academic Programmes August 29, 2026
Bachelor of Science in Physics
Academic Programmes August 29, 2026
Bachelor of Science in Petroleum Engineering
Academic Programmes August 29, 2026