Goal of the program

The goal of this program is to produce all-rounded graduates’ who are equipped with the necessary mathematical tools for analyzing, modeling and solving physical, economical and real-life problems in their complexity using computer technologies.

Career Opportunities

1. Data Scientist
2. IT Managers
3. System Analysts
4. IT Infrastructure Engineers
5. Machine Learning Experts
6. Mathematicians
7. Business Analysts

Goal of the Program

1. To develop competencies necessary for designing, developing and implementing of computing-based solutions.
2. To develop skills and competencies in the use of mathematical models and algorithms in generating proofs and solving complex real-life problems.
3. To equip professionals with the necessary mathematical tools for analyzing, modeling and solving physical, economical and real-life problems in their complexities.

Duration of the Programme

Four (4) Academic Years- Eight (8) semesters

Admission Requirements

1. Be a holder of KCSE (or equivalent examination) certificate with a minimum aggregate of C+ and a minimum of C+ in both Mathematics and Physics/Physical Science
2. Be a holder of the Kenya Advanced Certificate of Education (KACE) certificate with at least 2 principle passes in Mathematics and Physics
3. Holder of a related Diploma equivalent to KNEC Diploma from an institution that is recognised by the University Senate
4. Have any other relevant qualifications from an institution recognised by the University Senate.

Learning Outcomes

1. Develop systems using Algorithms to solve computational problems.
2. Design user interfaces and write program codes that are clear and usable by regular users
3. Analyse computing problems and apply principles of computing and mathematics to identify solutions.
4. Work independently and collaboratively, communicate computational ideas effectively, and be responsible and professional users of computing technology.
5. Apply mathematical foundations, algorithmic principles, and computer science theory in the modeling and design of computer-based systems in a way that demonstrates comprehension of the trade-offs involved in design choices