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.

To be the leading Applied Statistics centre offering distinguished, effective and ongoing opportunities in the field of Applied Statistics through the depth of its research and teaching, and locally relevant through its role in the development of the community it serves.

To produce leaders in Training, Research and Innovation in the fields of Applied Statistics to suit the needs of a dynamic World.

We value, Teaching, Research, Integrity, Community engagement, Innovation and Industrialisation.

Objectives

The objectives of the programme are to:
a) Produce highly qualified graduates who are able to understand and operate effectively in the world of challenging and changing information and computing technology
b) Produce graduates who are proficient in designing and implementing software, hardware and networking solutions.
c) Design new ways to use computers
d) Develop effective ways to solve computing problems

Normal Entry

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.

Special Entry

To qualify for special entry, applicants must have a diploma in Statistics and/or Mathematics or any other related field.

Mature Entry

Refer to Section 3.3 of the General Regulations.

After completion of the degree programme students should be able to:
• apply statistical and economic concepts, principles and processes in the areas of Science, Engineering, Industry and Commerce
• pursue post- graduate studies in applied statistics and related areas
• design and implement a computer programming task as well as a sound knowledge, of statistics and of business studies across a broad spectrum of areas.
• teach secondary school mathematics and statistics with computer applications up to `A’ Level and
• conduct research at whatever level.