University of Information Technology

M.C.Sc. (Knowledge Engineering)

M.C.Sc. (Knowledge Engineering)

The UIT Campus aims to offer a broad range of Master Degree Program. Currently, it also offers Master of Computer Science for Knowledge Engineering Courses for 2017-2018 academic year and 2018-2019 academic year. Master’s candidates are required to have minimum credit, 20 credits (mandatorily taking 10 courses and doing a thesis). The candidates must have completed the following subjects:

  • Compulsory Courses
    • English
    • KE-601: Computational Intelligence
    • KE-602: Geographic Information Systems
    • KE-603: Web Mining
    • SE- 603: Neural Networks and Deep Learning
    • BIS-603: Business Intelligence Modeling and Analytics (Prerequisite: BIS-501: Business Intelligence)
    • CM- 601: Information Theory

UIT Contact Info

Parami Road, Hlaing Campus, Yangon, Myanmar


Mon – Fri 9:00A.M. – 4:00P.M.

  • Elective Courses

Prerequisite courses of the compulsory courses must be chosen as elective courses. If the elective course has some prerequisite courses, the candidate must also choose these prerequisite courses. The candidates may choose three courses from the following elective courses:

    • HPC-603: Computing Paradigms in IoT (Prerequisite: HPC-504: Mobile Clouds and IoT)
    • SE- 601: Systems of Systems Engineering
    • SE-602: Formal Specification and Model Checking
    • BIS- 602: Production and Operations Management
    • BIS-601: Business Knowledge in Trading Exchanges (Prerequisite: BIS-404: Business Process Management)
    • ES- 603: Cyber Physical System and Embedded Devices (Prerequisite: ES-401: Micro-controller Programming)
    • CM- 602: Applied Combinatorics
  • Career Opportunities

The Master of Computer Science (KE) is best suited for the following careers:

    • Domain expert to build systems that use data-driven techniques such as machine learning, business analytics
    • Search Engine & Game Developer
    • Knowledge Architect to design and develop the intelligent systems that uses machine learning techniques or business analytics
    • Expert & Robotic Systems Developer
    • Linguistics Expert
    • Ontologist or Knowledge Engineer
    • Knowledge Management Engineer