Programme Description
The BSc AS programme aims at producing graduates with the theoretical and practical knowledge of Statistics, Mathematics and Actuarial Sciences in line with the mission of The University of Dodoma. Furthermore, the programme provides all the modules for them to work in life and non-life insurance companies (designing insurance products and valuing financial contracts and investing funds); consultancy (offering advice to occupational pension funds and employee benefit plans); government service (supervising insurance companies and advising on the national insurance); and also in the stock exchange industry, commerce, and academia.
Learning Outcomes
- Solve financial problems involving uncertainty.
- Manage various actuarial activities at different accounting and financial organizations.
- Plan and conduct sample surveys for actuarial work.
- Forecast insurance risks by using their expertise in the valuation of sophisticated investment derivatives.
- Interact effectively and harmoniously in the community through teamwork, adaptability, and problem solving.
Programme Structure
Year 1
Semester One
| Code |
Course Title |
Status |
Credits |
| ST 1100 |
Statistical Computing |
Core |
9 |
| ST 1101 |
Basic Statistics |
Core |
9 |
| MT 1102 |
Linear Algebra and Applications |
Core |
9 |
| ST 1104 |
Introduction to Microeconomics |
Core |
9 |
| ST 1103 |
Introduction to Actuarial Sciences I |
Core |
10.5 |
| DS 102 |
Development Perspectives |
Core |
7.5 |
| LG 102 |
Communication Skills |
Core |
7.5 |
| CP 111 |
Principles of Programming |
Elective |
9 |
Semester Two
| Code |
Course Title |
Status |
Credits |
| ST 1201 |
Probability Theory |
Core |
9 |
| ST 1206 |
Introduction to Macroeconomics |
Core |
9 |
| ST 1205 |
Introduction to Actuarial Science II |
Core |
10.5 |
| ST 1204 |
Basic Demographic Models |
Core |
10.5 |
| MT 1202 |
Ordinary Differential Equations |
Core |
9 |
| MT 1201 |
Mathematical Analysis I |
Core |
9 |
| CP 123 |
Introduction to High Level Programming |
Core |
9 |
Year 2
Semester One
| Code |
Course Title |
Status |
Credits |
| ST 2101 |
Probability Distributions |
Core |
10.5 |
| ST 2102 |
Statistical Inference |
Core |
10.5 |
| ST 2109 |
Risk Theory and Management |
Core |
9 |
| ST 2105 |
Research Methods and Practice |
Core |
7.5 |
| ST 2107 |
Financial Management I |
Core |
10.5 |
| ST 2108 |
Principles of Insurance |
Core |
7.5 |
| ST 1299 |
Practical Training I |
Core |
7.5 |
Semester Two
| Code |
Course Title |
Status |
Credits |
| ST 2201 |
Sampling Theory and Methods |
Core |
9 |
| ST 2202 |
Regression Analysis |
Core |
9 |
| ST 2204 |
Non-Parametric Methods |
Core |
9 |
| ST 2205 |
Time Series and Forecasting: |
Core |
9 |
| ST 2207 |
Professional Financial Planning in Insurance |
Core |
10.5 |
| ST 2208 |
Financial Management II |
Core |
10.5 |
| ST 2206 |
Statistical Databases |
Core |
7.5 |
Year 3
Semester One
| Code |
Course Title |
Status |
Credits |
| ST 3102 |
Introduction to Multivariate Analysis |
Core |
10.5 |
| ST 3103 |
Statistical Methods for Econometrics |
Core |
10.5 |
| ST 3105 |
Stochastic Processes |
Core |
9 |
| ST 3106 |
Management Information Systems |
Core |
7.5 |
| ST 3107 |
Investment Portfolio Management |
Core |
10.5 |
| ST 3108 |
Theory of Life Tables |
Core |
7.5 |
| ST 2299 |
Practical Training II |
Core |
7.5 |
Semester Two
| Code |
Course Title |
Status |
Credits |
| ST 3297 |
Actuarial Project |
Core |
7.5 |
| ST 3207 |
Survival Data Analysis |
Core |
10.5 |
| ST 3208 |
Actuarial Methods in Pension Funds |
Core |
10.5 |
| ST 3209 |
Stochastic Models in Life Insurance |
Core |
10.5 |
| EM 3006 |
Entrepreneurship and Small Business |
Core |
10.5 |
| ST 3203 |
Financial Statistics |
Elective |
10.5 |
| ST 3205 |
Statistical Methods for Projects Evaluation |
Elective |
10.5 |
| ST 3206 |
Introduction to Big Data |
Elective |
10.5 |
Special Programme Requirements
• The first Field Practical Training (FPT) will be conducted at the end semester II of Year I where students will be required to attend PT at The University of Dodoma (in- house practical training sessions) for four weeks. Students will be given practical training on some software in computing laboratory. The cost for this training per each student is TZS 300,000 for four weeks. • The second Field Practical Training (FPT) will be conducted in different government and private institutions for eight weeks at the end of the second academic year. The cost for this training per each student is TZS 600,000 for eight weeks. • There will be Special Project (ST 320: Statistics Project) from the beginning of Semester II of Year III. The cost for the Special Project per student is TZS 300,000. 317 • Special Faculty requirement will be in Semester I of Year I. The amount is TZS 100,000.
