Zetech University School of ICT, Media & Engineering

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