Doctor of Philosophy in Information Systems

    Intake Periods
  • January
  • May
  • September
    Modes of Study
  • Part Time
Course Overview

The Doctor of Philosophy in Information Systems degree programme aims to produce research scientists who are practitioners mainly engaged in generating knowledge through research and teaching.  The programme is designed to enable PhD candidates become proficient in research, innovation with substantial authority, autonomy, scholarly and professional integrity and sustained commitment to the generation of new ideas or processes at the forefront of Information Systems discipline. Candidates will become independent researchers and develop an in-depth knowledge of a specific area of concentration, as well as problem solving and analytical skills that will enable them make significant innovative contributions in terms of knowledge generation to the Information Systems field in the global economy.

Who Can Join

The Doctor of Philosophy in Information Systems degree programme is suitable for IT professional and business managers that have completed Master’s degree in IT related field from an accredited university

Three (3) academic Years
Mode of Delivery of the Programmes
The course units will be delivered by Coursework, Examination and thesis through the following approaches:
  • Lectures,
  • Discussion-based workshops,
  • Demonstrations and laboratory experiments,
  • Independent research,
  • Case studies
  • Guest Speakers

Career Opportunities
All PhD students have an opportunity to study one semester at university of Stavanger, Norway. More information about Kenya Norway Mobility - KENOMO Project can be accessed from the following web pages:
Research Foci
Initial research foci will specialize in Information Systems research including but not limited to the following:
  • Intelligent systems
  • Systems Dynamics
  • Networks and data Communications
  • Cognitive Computing
  • Systems engineering/requirements engineering
  • Systems evaluation and modelling
  • Data analytics and information Visualisation
  • Geographical Information systems
  • software process improvement
  • Health informatics
  • Technology enhanced learning (TEL)