Bachelor of Science in Mathematics and Computing
Programme overview
The Bachelor of Mathematics and Computing is designed to equip students with a strong foundation in mathematical theory and computing skills. This interdisciplinary programme is tailored to meet the growing demand for professionals applying mathematical reasoning and computational techniques to solve complex real-world problems.
Entry requirements
Minimum university entrance requirements
- A mean grade of C+ and above at KCSE where applicable or its equivalent using criteria that the senate may determine OR
- Diplomas or professional qualifications from an institution recognised by Senate OR
- KCSE certificate or equivalent and a certificate of foundation or bridging courses from an institution recognised by Senate OR
- Kenya Advanced Certificate of Education with a minimum of 1 principal and subsidiary passes OR
- Evidence of KCSE certificate or equivalent and a portfolio for purposes of recognition of prior learning determination with respect to:
- Workplace training of 2 years OR
- Work experience in a relevant field of 2 years OR
- Two short courses lasting at least 3 months each in relevant fields OR
- Any other qualifications that may be determined by Senate recognising prior learning leading to equivalents of the identified criteria, experience and skills of learners OR
- A Bachelor’s degree from an institution recognised by the Senate.
Students wishing to study for the degree of BSc. in Mathematics and Computing shall adhere to the following academic regulations:
A candidate must satisfy the general University admission criteria for undergraduate programmes.
Additional criteria for admission to Bachelor of Science Mathematics and Computing :
- A mean grade of C+ and above at KCSE. In addition, a candidate must have a minimum grade of C+ or its equivalent in Mathematics, Physics and a language and, a C+ in any other subject.
- Diplomas or professional qualifications. A holder of a diploma or professional qualification should be in the areas of Computer Science or their equivalents.
Programme structure
The programme spans four academic years, each comprising two semesters, for a total of eight (8) semesters. The minimum total course credit hours required for graduation is 132 credits (approximately 1,980 instructional hours). Industrial attachment of at least eight (8) weeks is undertaken after Year 2 Semester 2.
Year 1 establishes the mathematical and computational foundations, covering calculus, linear algebra, discrete mathematics, introduction to programming and data structures. Year 2 advances into algorithms, numerical methods, database systems and software engineering. Year 3 develops specialisation in areas including mathematical modelling, machine learning, operations research and computer networks. Year 4 integrates knowledge through electives, a research project and the industrial attachment report.
The programme is offered fully online, with assessments combining continuous assessment tasks, practicals and final examinations per semester.
Progressive Certification
Progressive Certificate Award: successful completion of one third of total course credits and a capstone project.
Progressive Diploma Award: successful completion of two thirds of total course credits and attachment or field work.
Assessment methods
Student Assessment at programme level
The course will be assessed through:
- Content embedded quizzes
- Online practical work
- Open book tests
- Project reports
- End of course online examination
The projects will be assessed through e- portfolios. Students will present their work to an evaluation panel. All students’ work will be checked for plagiarism. The students should be logged in with the university provided login details in order to carry out any task.
Continuous Assessment
Tests/Tasks: 50%
Examination 50%
Global careers
Career Prospects
Graduates are well-prepared for a wide range of career paths including:
- Data Scientist
- Software Developer
- Actuarial Analyst
- Financial Analyst
- Operations Research Analyst
- Quantitative Analyst
- AI and Machine Learning Specialist
- Research Scientist
Application hub
Typical duration
Delivery mode
Online
Accreditation info
Fully accredited by the Commission for University Education (CUE) and recognised globally for digital-first excellence.
School of Science & Technology
Related programmes
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Location
Nairobi, Kenya