Master of Science in Industrial Mathematics
The Master of Science in Industrial Mathematics provides advanced training in mathematical modelling, computational methods, optimisation, and industrial applications of mathematics. Students learn applied mathematics, numerical methods, operations research, and mathematical modelling for industry. The programme is designed for mathematics and engineering graduates seeking advanced industrial mathematics qualifications.
The short answer
- What it costs
- Up to Ksh 180,000 a year at a public institution, Ksh 360,000 for the whole course. Up to Ksh 295,500 a year at a private one.The detail
- Who can get in
- A KCSE mean grade of Bachelor's Degree (Postgraduate) or above. There is another way in without it.The detail
- How long, and when
- Takes 2 years, full-time, part-time, with 0 months of attachment. Next intake January 2027, at 1 institution.The detail
- Where it leads
- 8 careers in the catalogue. The least exposed to AI is Forensic DNA Scientist, at 15 out of 100.The detail
The programme
What you study, how long it takes, and how it is delivered.
Overview
Students develop advanced competencies in mathematical modelling, computational mathematics, optimisation, numerical analysis, and industrial problem-solving. The curriculum covers industrial mathematics, computational methods, operations research, research methods, and a research thesis. Practical skills are developed through computational projects and industrial case studies.
Industrial mathematics expertise is critical for Kenya's industrial and engineering sectors. Manufacturing companies, financial institutions, technology firms, and research organisations require trained applied mathematicians. Kenya's industrialisation goals and technology sector growth create demand for mathematical modelling expertise. The programme addresses the demand for advanced industrial mathematics training.
The programme combines classroom lectures with computational laboratory work, industrial projects, and research. Students study mathematical concepts, develop computational models, solve industrial problems, and conduct research. Teaching methods include lectures, computational sessions, project work, and research supervision. The programme is offered in full-time and part-time modes.
Graduates find employment as industrial mathematicians, quantitative analysts, operations research analysts, or data scientists in manufacturing, finance, technology, and research organisations. The master's degree supports careers in industrial mathematics, computational modelling, and quantitative analysis.
This programme is ideal for mathematics and engineering graduates seeking advanced industrial mathematics qualifications. The programme provides advanced skills for mathematical modelling, computational problem-solving, and industrial applications.
What you study
10 subjects- Mathematical Modelling
- Numerical Methods and Computation
- Optimisation Techniques
- Operations Research
- Industrial Mathematics Applications
- Statistical Methods for Industry
- Computational Mathematics
- Research Methods
- Financial Mathematics
- Thesis Research
Modules
8 in the programmeMathematical Modelling for Industry
Year 1Semester 13 creditsCore
Mathematical modelling covering model formulation, differential equations, dynamical systems, and modelling of industrial and engineering processes.
Numerical Methods and Computation
Year 1Semester 13 creditsCore
Numerical methods covering numerical linear algebra, numerical solutions of ODEs and PDEs, interpolation, and computational implementation.
Optimisation Techniques
Year 1Semester 13 creditsCore
Optimisation covering linear programming, nonlinear programming, integer programming, and optimisation applications in industry and engineering.
Research Methods and Statistics
Year 1Semester 13 creditsCore
Research methods covering research design, statistical analysis, mathematical research, and research ethics.
Operations Research and Industrial Applications
Year 1Semester 23 creditsCore
Operations research covering queueing theory, inventory models, network optimisation, and industrial applications of operations research.
Computational Mathematics and Programming
Year 1Semester 23 creditsCore
Computational mathematics covering scientific computing, mathematical software, programming for numerical methods, and high-performance computing.
Financial Mathematics and Risk Analysis
Year 1Semester 23 creditsCore
Financial mathematics covering financial models, risk analysis, portfolio optimisation, and mathematical applications in finance and insurance.
Thesis Research and Defence
Year 2Semester 16 creditsCore
A research thesis on an industrial mathematics topic, demonstrating research competence and contributing to applied mathematics knowledge and practice.
Specialisations
Computational Mathematics
Focus on numerical methods, scientific computing, and computational implementation of mathematical algorithms.
Operations Research
Focus on optimisation, queueing theory, and operations research applications in industry and logistics.
Financial Mathematics
Focus on mathematical modelling in finance, risk analysis, and quantitative finance applications.
A day as a student
A typical day combines morning lectures on mathematical modelling or numerical methods with afternoon computational laboratory sessions and project work. Students study mathematical concepts, develop computational models, solve industrial problems, and conduct research. Computational sessions provide hands-on experience with mathematical software and programming. Industrial case studies connect mathematical theory with real industrial applications. Research projects involve mathematical modelling of industrial problems. The programme emphasises mathematical competence, computational skills, and industrial problem-solving.
The trade-offs
| In its favour | Against it |
|---|---|
| Industrial mathematics skills are transferable across multiple sectors including finance, technology, manufacturing, and research. | The programme is offered at only one university, limiting accessibility. |
| Offered at DeKUT, a university of technology with strong industrial focus. | Specific fee data is not publicly available; estimate based on comparable programmes. |
| Combines mathematical theory with computational and industrial applications, providing versatile career options. | Requires strong mathematical background and computational skills. |
What it costs
Tuition at both ends of the market, and how to pay for it.
What it costs, and where
Against 243 science coursesAnnual tuition in Kenyan shillings, rounded. The upright tick is the median for this field, so a bar sitting entirely to its right is an expensive programme by the standards of its own subject.
The fine print
DeKUT unverified. USIU ~295K/yr (usiu.ac.ke). Kabarak ~150K/yr (kabarak.ac.ke).
HELB loans are available for eligible Kenyan students. DeKUT may offer institutional scholarships for qualifying students. Mathematical societies may offer research grants.
Funding options
HELB Loan
Scholarships
1 recordedHELB Loan
LoanKsh 60,000Kenyan
Kenyan students enrolled in master's programmes at chartered universities
Scholarships you could apply for
2 usable where it is taught- Chevening Scholarships Kenya
Closes 30 November 2026FullUK Government
Full masters in UK
- AfDB Japan Scholarship Program
Closes 28 February 2027FullAfrican Development Bank
Full graduate study abroad
Getting in
The grades, the alternatives, and who accredits the award.
What you need
BSc with at least Upper Second Class Honours in Mathematics, Actuarial Science, Engineering, or Computer Science from DeKUT or a recognised university. Lower Second Class Honours with 2 years of relevant experience may be considered.
When it next starts
Taught at 1 institutionIncluding Dedan Kimathi University of Technology.
Including Dedan Kimathi University of Technology.
Including Dedan Kimathi University of Technology.
How you are assessed
3 componentsCoursework and Examinations
Written examination40% of the mark
Coursework assessments, written examinations, and assignments evaluating understanding of industrial mathematics concepts.
Computational Projects and Case Studies
Practical30% of the mark
Computational project assessments, industrial case study evaluations, and practical assignments evaluating mathematical and computational skills.
Thesis Defence
Project30% of the mark
A research thesis demonstrating research competence in industrial mathematics, defended before an examination panel.
Accreditation
Commission for University Education
AcademicRequired
DeKUT is chartered by CUE. MSc programme accredited by CUE.
DeKUT is chartered by the Commission for University Education (CUE). The MSc programme is accredited by CUE.
Where it leads
The roles it opens, and what you leave with.
Where graduates go
4 rolesIndustrial Mathematician
Moderate demandKsh 120,000 to Ksh 400,000
Applies mathematical methods to solve industrial and engineering problems in manufacturing, technology, or research organisations.
Quantitative Analyst
High demand
Develops mathematical models for financial institutions, analysing risk, pricing, and investment strategies.
Operations Research Analyst
Moderate demand
Applies optimisation and operations research techniques to improve efficiency in manufacturing, logistics, or service organisations.
Data Scientist
High demand
Applies mathematical and statistical methods to analyse data and build predictive models in technology companies or research institutions.
Graduate outcomes
Graduates find employment as industrial mathematicians, quantitative analysts, and operations research analysts in manufacturing, finance, technology, and research organisations, with opportunities for mathematical modelling and computational problem-solving.
Where these fields lead
8 careers- Forensic DNA ScientistScience15Low exposure
- Neuromorphic Computing ResearcherScience15Low exposure
- Agricultural EntomologistScience17Low exposure
- Neurotechnology Research EngineerScience17Low exposure
- Phage Therapy ResearcherScience17Low exposure
- Applied GeochemistScience18Low exposure
- Computational ToxicologistScience18Low exposure
- Computational Toxicology SpecialistScience18Low exposure
Industry links
Common misconceptions
Industrial mathematics is just pure mathematics with a different name.
Industrial mathematics focuses on applying mathematical methods to solve real industrial and engineering problems, involving computation, modelling, and optimisation.
Mathematics graduates can only become teachers.
Industrial mathematics opens careers in finance, technology, manufacturing, data science, and research, not just teaching.
Industrial mathematics has limited career opportunities in Kenya.
Kenya's growing technology, finance, and manufacturing sectors create demand for quantitative and computational skills.
You need to be a genius to study industrial mathematics.
Industrial mathematics requires solid mathematical foundations and computational skills, but success depends more on problem-solving ability and practice than raw genius.