Level

Courses

100

General Studies, Physics, Mathematics, Faculty of Computing: Introduction to Computing Sciences, Problem Solving, Practical Lab I

200

Faculty of Computing: Computer Programming I & II, Introduction to Cybersecurity & Strategy, Discrete Structures, Digital Logic Design, Introduction to Data Science, Statistical Computing Inference & Modelling, Human-Computer Interface, Information Management Systems, Introduction to Algorithms, Practical Lab II; SIWES I

300

Faculty of Computing: Artificial Intelligence, Introduction to R Programming, Data Management I, Probability for Data Science, Operating Systems, Data Communication System & Network, Computer Architecture & Organisation, Introduction to Business Intelligence & Data Visualisation, Machine Learning, Cybersecurity in Business & Industry, Practical Lab III

400

Faculty of Computing: Big Data Computing, Data Science Innovation & Entrepreneurship, Data Engineering, Python for Data Science, Data Management II, Web Development using CMS, Computer Graphics; SIWES II & Industrial Training III

500

Faculty of Computing: Research Methodology & Technical Report Writing, Project Management, Ethics & Legal Issues in Data Science, Data Visualisation for Data-driven Decision Making, Distributed Computer Systems, Mobile Communication & Networking, Recommender Systems, Big Data in Social & Health Science, Data Science for Social Good, IoT, Precision Agriculture, Final Project I & II