Programme Description
The Bachelor of Science in Statistics programme intends to train students both in theoretical development and in the real-life applications of modern statistical methodology. Specifically, the course is designed to equip and prepare graduates with: • Technical skills in data management, data analysis, monitoring and evaluation and basic statistical modelling, 260 • Diverse career opportunities in both public and private sectors; or venture in business, • Ability to critically analyse and interpret data and write reports based on the results they have produced, and • Empower students to be self-employable statistics professionals who can use their skills in establishing statistical consultancy services. Programme Expected Learning Outcomes After the completion of the programme, students are expected; • To demonstrate the ability to handle and manipulate data for decision making processes. • To plan and conduct sample surveys and experimental designs. • To write reports and provide statistical services consultancy. • To analyse data using statistical packages and make interpretation to real world problems. • To create statistical databases. • To apply statistics in decision making in other disciplines, e.g. biological sciences, social sciences, and economics. • To plan and run different instances of small business. • To interact effectively and harmoniously in the community through teamwork, adaptability and problem solving.
Programme Structure
Semester 1 year 1
| Code |
Course Title |
Status |
Credits |
| ST 1100 |
Statistical Computing |
Core |
9 |
| ST 1101 |
Basic Statistics |
Core |
9 |
| CP 111 |
Principles of Programming |
Core |
9 |
| MT 1101 |
Foundations of Analysis |
Core |
9 |
| MT 1102 |
Linear Algebra and Applications |
Core |
10.5 |
| LG 102 |
Communication Skills |
Core |
7.5 |
| DS 102 |
Development Perspectives |
Core |
7.5 |
Semester 2 year 1
| Code |
Course Title |
Status |
Credits |
| ST 1201 |
Probability Theory |
Core |
9 |
| ST 1202 |
Operations Research I |
Core |
9 |
| ST 1203 |
Basic Demographic Models |
Core |
9 |
| MT 1201 |
Mathematical Analysis I |
Core |
9 |
| MT 1202 |
Ordinary Differential Equations |
Core |
9 |
| EN 126 |
Statistical Methods in Economics I |
Core |
7.5 |
| CP 123 |
Introduction to High Level Programming |
Core |
9 |
Semester 1 year 2
| Code |
Course Title |
Status |
Credits |
| ST 2101 |
Probability Distributions |
Core |
10.5 |
| ST 2102 |
Statistical Inference |
Core |
10.5 |
| ST 2103 |
Statistical Methods for Quality Control |
Core |
9 |
| ST 2104 |
Operations Research II |
Core |
9 |
| ST 2105 |
Research Methods and Practice |
Core |
7.5 |
| ST 2299 |
Practical Training -I |
Core |
7.5 |
| EN 216 |
Statistical Methods in Economics II |
Core |
7.5 |
Semester 2 year 2
| Code |
Course Title |
Status |
Credits |
| ST 2201 |
Sampling Theory and Methods |
Core |
9 |
| ST 2202 |
Regression Analysis I |
Core |
9 |
| ST 2203 |
Actuarial Statistics |
Core |
9 |
| ST 2204 |
Non-Parametric Methods |
Core |
9 |
| ST 2205 |
ST 2205: Time Series and Forecasting |
Core |
9 |
| ST 2206 |
ST 2206: Financial Statistics |
Core |
7.5 |
| CP 121 |
CP 121: Introduction to Database Systems |
Core |
9 |
Semester 1 year 3
| Code |
Course Title |
Status |
Credits |
| ST 3101 |
Design and Analysis of Experiments |
Core |
9 |
| ST 3102 |
Introduction to Multivariate Analysis |
Core |
10.5 |
| ST 3104 |
Categorical Data Analysis |
Core |
7.5 |
| ST 3105 |
Stochastic Processes |
Core |
9 |
| IM 315 |
Management Information Systems for Statisticians |
Core |
7.5 |
| EME 211 |
Small Business Management and Entrepreneurship |
Core |
9 |
| ST 3299 |
Practical Training -II |
Core |
7.5 |
Semester 2 year 3
| Code |
Course Title |
Status |
Credits |
| ST 3201 |
Biostatistics and Epidemiology |
Core |
10.5 |
| ST 3202 |
Applied Spatial Statistics |
Core |
9 |
| ST 3296 |
Statistical Project |
Core |
10.5 |
| ST 3206 |
Regression Analysis II |
Core |
10.5 |
| ST 3204 |
Panel Data Analysis |
Elective |
10.5 |
| ST 3205 |
Statistical Methods for Projects Evaluation |
Elective |
10.5 |
| CS 329 |
Big Data Analysis |
Elective |
9 |
| CP 224 |
Database Management System |
Elective |
9 |
