Study Programme
Bachelor of Science Honours Degree in Applied Statistics
Department
Applied Statistics
BSc
Honours Degree
4Years
Duration
10+
Career Paths
Research, Innovation, & Sustainable Development
Admission Requirements Join Us
To qualify for the programme, applicants must meet the general entry requirements, and in addition they should have passed “A” Level Mathematics and any other science or commercial subject or their recognized equivalents.
Career Prospects
Applied Statistics has immense applications in the fields of Science, Engineering, Industry and Commerce. After students graduate they are employable in the following areas: Actuarial Sciences; Financial Institutions: (banks, building societies, insurance companies and pension funds); Meteorology (forecasting); Manufacturing industry (production/operation management); Industrial Research; Research, Development and Project Management in NGOs, research stations, Mining Sector; Teaching and Lecturing and many other relevant areas of the economy.
Objectives
The Bachelor of Science in Applied Statistics Honors Degree is a four-year program (3 years for block release program). To prepare graduates who are not only statistically sound but also capable of using their appropriate statistical skills in interdisciplinary areas such as finance, health, agriculture, government, business, industry, telecommunication, and bio-statistics. As a result, they can pursue their future career either in the core field or in the applied field of Statistics
- To familiarize students with computational techniques and software used in the statistical arena.
- To provide a solid ground in the best practices of collating and disseminating Information.
- To prepare students for undertaking further study.
- To teach students to construct practical statistical models for several processes in the real-world.
- To develop a graduate who is enterprising and innovative, dynamic and result oriented.
Programme Structure
| Level | Semester | Module Code | Module Narration [Prerequisites] | Credits |
|---|---|---|---|---|
| Level 1 | Semester 1 | ASTA 101 | Introduction to Statistics | 12 |
| ASTA 102 | Calculus I | 12 | ||
| ASTA 103 | Linear Mathematics I | 12 | ||
| ASTA 104 | Probability Theory I | 12 | ||
| COSK 101 | Basic Communication Skills | 12 | ||
| INSY 101 | Introduction to Computers and Computer Applications | 12 | ||
| Total Credit | 72 | |||
| Level 1 | Semester 2 | ASTA 121 | Statistical Computing I | 12 |
| ASTA 122 | Regression and ANOVA I [ASTA 101] | 12 | ||
| ASTA 123 | Mathematical Discourse and Structures | 12 | ||
| ASTA 124 | Probability Theory II [ASTA 104] | 12 | ||
| ASTA 125 | Statistical Inference I | 12 | ||
| INSY 103 | Principles of Computer Programming | 10 | ||
| COSK 121 | Business Communication | 12 | ||
| Total Credit | 82 | |||
“Applied statistics provides our way of thinking and our approach to extracting the most information from numbers with uncertainty. The presence of uncertainty leads us to infer rather than deduce solutions and it is applied statistics that we rely upon to measure the accuracy and reliability of the extracted information.
Applied Statisticians and analysts not only interpret “big data,” but communicate the meaning of their findings. They help companies and organisations with methodologies, innovations, solutions, and practical implementations to produce tangible results through analytics.Mr A Chakaipa
(Chairperson)
