Program Objective.
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.
- Data Scientist
- IT Managers
- System Analysts
- IT Infrastructure Engineers
- Machine Learning Experts
- Mathematicians
- Business Analysts
Goal of the Program
- To develop competencies necessary for designing, developing and implementing of computing-based solutions.
- To develop skills and competencies in the use of mathematical models and algorithms in generating proofs and solving complex real-life problems.
- 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
- 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
- Be a holder of the Kenya Advanced Certificate of Education (KACE) certificate with at least 2 principle passes in Mathematics and Physics
- Holder of a related Diploma equivalent to KNEC Diploma from an institution that is recognised by the University Senate
- Have any other relevant qualifications from an institution recognised by the University Senate.
Learning Outcomes
- Develop systems using Algorithms to solve computational problems.
- Design user interfaces and write program codes that are clear and usable by regular users
- Analyse computing problems and apply principles of computing and mathematics to identify solutions.
- Work independently and collaboratively, communicate computational ideas effectively, and be responsible and professional users of computing technology.
- 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