Overview
Industrial Mathematics is a branch of mathematics that is concerned with developing mathematical methods and applying them to industries in the area of engineering, science, development planning, social science, and industry. This programme is aimed at developing multidisciplinary students to have up-to-date knowledge in their fields, and also understand the linkage between mathematics and business. The program places emphasis on mathematical modelling, computational techniques, and statistical reasoning.
Students who enrol in this programme will develop skills in abstraction, analysis of structure and logical thinking. They will also develop expertise in formulating and solving problems. This concentration provides the knowledge of modelling and numerical techniques fundamental to pursuing a career in industry. The MSc is one and a half years and the MPhil is two years.
Modules and courses
Mode of course delivery
The programme is offered through distance education, a learning oriented system allowing greater flexibility in learning while students continue with their regular professional work. The programme is offered in a mixed mode format. The approach uses print and electronic media in order to be responsive to the needs of the learner and also maximize the use of technology in course delivery.
At the heart of the programme is excellent online learning materials developed by capable and competent resource persons from KNUST and other recognized institutions.
Academic Support Systems/Services
Limited face-to-face facilitated sessions are provided at all the Learning Centres. These sessions are supported by print and electronic materials, and local learning facilitators who also support and direct students as they work through the resources provided.
The Centres provide learning support to students living in different parts of the country, thus reducing travel expenses.
Learning centres
Head of department
Exam officer
Programme coordinator
- A good First Degree, preferably 2nd Class Lower Division or better in the following programmes is a good First Degree in Mathematics, Engineering, Physics or Computer Science. Applicants who are already employed in the relevant related areas will be considered for admission after an interview to be conducted by the Department of Mathematics.
