N/A
3 Years Full Time / Full Time / Part Time
Statistical skills are sought after in financial services, engineering, manufacturing, technology and business to make projections, track market trends and solve a range of mathematical, statistical and operations research problems. This degree prepares students to collect, analyse, interpret and present data, focusing strongly on specialised areas such as statistical inference, descriptive statistics, data analysis, quality control and sampling techniques, complex analysis and forecasting.
Type: undergraduate degree
Duration: 3 years part time
Compulsory Subjects
First year subjects:
- Descriptive statistics
- Probability and probability distributions
- Statistical inference
- Data analysis
- Pre-calculus Mathematics
- Calculus
- Linear algebra
- Applied linear algebra
- Introduction to programming
- Comprehension skills for science
- End-user Computing
Second year subjects:
- Distribution theory
- Applied statistics
- Design of experiments
- Sampling and survey methods
- Forecasting
- Linear algebra
- Real analysis
- Calculus in higher dimensions
Third year subjects:
- Distribution theory
- Inference
- Analysis of variance and regression
- Sampling techniques
- Time series
- Linear algebra
- Complex analysis
Careers: statistical modeller, statistician.
Source:
www.unisa.ac.za