Programme Type : Undergraduate Programme Duration : 3 Years Academic Unit : College Of Natural And Applied Sciences
Programme Desciptions
The BSc. ActSci is a three-year programme (six semesters). To graduate from the programme, a candidate must earn a total of 204 credits from core courses and 24credits from elective courses. In addition a candidate must complete a compulsory 8-week practical training is taken at the end of second year and carrying 24 credits. To graduate from the programme, a candidate must therefore get a total of 428credits.
|
Code |
Course Title |
Core/Elective |
Credits |
|
FIRST YEAR |
|||
|
First Year: Semester I |
|||
|
DS 101 |
Development Perspective I |
Core |
8 |
|
MT 114 |
Computer Programming |
Core |
12 |
|
ST 113 |
Basic Statistics |
Core |
12 |
|
ST 121 |
Analytical Calculus |
Core |
12 |
|
AC 102 |
Accounting for Non-business Majors |
Core |
12 |
|
FN 102 |
Introduction to Actuarial Studies |
Core |
12 |
|
Total Credit: Year I: Semester I |
68 |
||
|
|
|||
|
First Year: Semester II |
|||
|
MT 136 |
Ordinary Differential Equations |
Core |
8 |
|
DS 102 |
Development Perspectives II |
Core |
8 |
|
CL 106 |
Communication Skills |
Core |
12 |
|
MT 180 |
Introduction to Actuarial Mathematics |
Core |
12 |
|
ST 122 |
Linear Algebra with Applications |
Core |
12 |
|
ST 114 |
Probability Theory I |
Core |
12 |
|
FN 101 |
Principles of Macroeconomics |
Core |
12 |
|
Total Credit: Year I: Semester II |
76 |
||
|
|
|||
|
SECOND YEAR |
|||
|
Second Year: First Semester I |
|||
|
MT 281 |
Life Contingencies |
Core |
12 |
|
ST 220 |
Basic Demographic Methods |
Core |
12 |
|
MT 226 |
Partial Differential Equations |
Core |
8 |
|
MT 233 |
Mathematical Statistics |
Core |
12 |
|
FN 200 |
Principles of Finance |
Core |
12 |
|
Total Credit: Year II: Semester I |
56 |
||
|
|
|
||
|
Second Year: Second Semester II |
|
||
|
MT 278 |
Linear Programming |
Core |
12 |
|
FN 209 |
Risk Theory |
Core |
12 |
|
MT 280 |
Basic Pension Mathematics |
Core |
12 |
|
FN 202 |
Financial Management |
Core |
12 |
|
LW 705 |
Legal Aspects of Actuarial Science |
Core |
12 |
|
ST 324 |
Linear Models |
Core |
12 |
|
BM 333 |
Field Practical with Research Component |
Core |
24 |
|
Total Credits: Year II, Semester II |
96 |
||
|
|
|||
|
|
|||
|
THIRD YEAR |
|||
|
Year III: Semester I |
|
||
|
ST 326 |
Survival Models |
Core |
12 |
|
ST 327 |
Actuarial Modelling |
Core |
12 |
|
FN 315 |
Basics of Actuarial Planning and Control |
Core |
12 |
|
FN 314 |
Quantitative Methods for Risk Management |
Core |
12 |
|
Total Credits: Third Year: Semester I |
48 |
||
|
|
|
||
|
Third Year: Semester II |
|
||
|
FN 316 |
Superannuation Practices |
Core |
12 |
|
MT 381 |
Credibility and Loss Distributions |
Core |
12 |
|
FN 317 |
Actuarial Practices in Insurance Schemes |
Core |
12 |
|
FN 318 |
Actuarial Practices in Pension and Retirement Benefits |
Core |
12 |
|
ST 325 |
Mathematical Demography |
Core |
12 |
|
Total Credits: Third Year, Semester II |
60 |
||
Students to choose optional courses from the following courses
|
Courses Code |
Course Title |
Core/Elective |
Semester |
Credits |
|
ST 212 |
Statistical Inference I |
Elective |
2 |
12 |
|
ST 215 |
Differential and Difference Equations |
Elective |
2 |
12 |
|
ST 310 |
Statistical Inference II |
Elective |
1 |
12 |
|
ST 312 |
Stochastic Processes |
Elective |
1 |
12 |
|
MT 378 |
Queuing Theory and Inventory Models |
Elective |
1 |
12 |
|
MT 348 |
Integer and Non-Linear Programming |
Elective |
1 |
12 |
|
FN 310 |
Investment Analysis |
Elective |
2 |
12 |
|
FN 301 |
Financial Analysis |
Elective |
2 |
12 |
Requirements Direct Entry: Principal level passes at A-Level in any two subjects, one of which must be in Advanced Mathematics Equivalent Entry: Ordinary Diploma approved by the the UDSM Senate in Mathematics, Statistics or other relevant disciplines of not less than upper second-class and a grade in Statistics or Mathematics or Quantitative Methods of C or better; or Advanced Diploma approved by the the UDSM Senate in Mathematics, Statistics or other relevant discipline with a grade in Statistics or Mathematics or Quantitative Method of C or better