Directorate of Postgraduate Studies PhD and Masters studies

+254 719 034 500

+254 706 622 557

info@zetech.ac.ke

zetech university postgraduate studies

Rationale of the Programme

Zetech University’s doctoral program in Computer Science, with its focus on developing sustainable solutions to global challenges, is designed to cultivate world-class leaders, managers, and academicians. This program stands out for its emphasis on interdisciplinary study, blending computer science with social science to address complex socio-economic issues. Our faculty, composed of renowned scholars with a track record of innovative research, brings a wealth of knowledge and expertise to the program.

Programme Goal

The program aims at producing doctoral graduates who are problem solvers and innovative change agents both in academia and in the industry. This includes identifying, analyzing, creating, assessing, shaping, and decisively acting on opportunities in a variety of contexts and organizations while remaining mindful of sustaining social, environmental, and economic value. This will enable them to conduct advanced research in computer science, integrate strategic emerging computer science issues into corporate business strategy, academia, and industry, thus meeting the needs of Kenya and the global community.

Key Skills and Interests Required

Graduates who would wish to advance their skills in the following areas are encouraged to apply:

  • Artificial Intelligence
  • Computer and Cyber Security
  • Mobile Computing and Networking
  • Software Engineering

Admission Requirements

Holder of the following shall be eligible for admission:

  • Master of Science in Computer Science or IT-related field with at least an Upper Second or equivalent at undergraduate level.
  • Master of Science in the above areas with Lower Second, plus at least 2 years’ experience in computing.
  • Any other relevant qualification as approved by the University Senate.

Duration of the Programme

The duration of the program is Three (3) calendar years.

Learning Outcomes

  • Demonstrate mastery of skills and knowledge for university teaching and assessment.
  • Lead and innovate in research activities, applying advanced methodologies to generate original, solution-based research.
  • Effectively communicate and present research findings globally in both oral and written form.
  • Adhere to ethical standards in research and collaborate effectively with diverse teams.
  • Plan and conduct research addressing significant issues in computer science.
  • Engage productively as leaders/mentors and team members with professionalism.

Expected Learning Outcomes of Each Specialization

Mobile Computing and Networking

  • Apply infrastructures and technologies to develop mobile solutions.
  • Utilize various mobile computing domains to benefit communities.
  • Critically analyze and conduct advanced research in mobile applications.

Computer Systems and Cyber Security

  • Formulate countermeasures against system attacks and misuse.
  • Critically evaluate existing knowledge in cyber security.
  • Conduct innovative research providing new insights in cyber security.

Artificial Intelligence

  • Evaluate machine learning algorithms in real-world applications.
  • Conduct cutting-edge research to expand the frontiers of intelligent systems.
  • Critically integrate AI with emerging areas such as IoT.

Software Engineering

  • Identify, formulate, and solve complex software engineering problems.
  • Design software systems that meet desired needs.
  • Conduct top-notch research to provide new insights in software engineering.

Programme Specializations

  1. Artificial Intelligence
  2. Computer and Cyber Security
  3. Mobile Computing and Networking
  4. Software Engineering

Programme Courses

Common and Core Courses:

  • PBA 8110 Quantitative and Qualitative Research Methods
  • ICS 8140 Advanced Topics in Computer Security
  • ICS 8101 Advanced Topics in Theory of Computation
  • ICS 8130 Advanced Topics in Artificial Intelligence Applications
  • ICS 8110 Research on Emerging Trends in Computer Science (Big Data, IoT, Cloud)
  • ICS 8291 Independent Study

Specialization Courses:

Artificial Intelligence

  • ICS 8231 Advanced Research in Deep Learning and Intelligent Systems
  • ICS 8233 Advanced Research in Speech System and Natural Language Processing

Computer and Cyber Security

  • ICS 8243 Advanced Research in Digital Forensics
  • ICS 8214 Advanced Research in Network Security and Cyber Terrorism

Mobile Computing and Networking

  • ICS 8211 Advanced Research in Mobile Wireless Ad-hoc Networks and 5G
  • ICS 8213 Advanced Research in IoT Technology and Cloud Computing

Software Engineering

  • ICS 8223 Research in Agile and DevOps Practices
  • ICS 8224 Software Quality Engineering
  • ICS 8399 Doctoral Research Thesis

Tuition Fee

Programme Total Fee (KES) No. of Semesters
Doctor of Philosophy in Computer Science 669,500 6