PhD in Data Science
Doctor of Philosophy in Data Science (PhD DS) support the efforts and initiatives to make the Industry Policy 4.0 or Industry 4WRD planning possible. In line with that, FOUR research clusters are being emphasized in the programmes, they are DATA SCIENCE (DS), INTERNET OF THINGS (IoT), DATA ANALYTICS (DA) and MACHINE LEARNING (ML) which are reflected in the selections of core and elective courses offered
Programme Educational Objectives (PEO)
PEO-1. Mastering in Advanced knowledge of latest focus areas in IT to solve real problems in organisation and society.
PEO-2. Creating innovative and creative solution of latest focus areas in IT by technically communicating with peers and communities.
PEO-3. Leading entrepreneurial ventures and projects in latest focus areas of Information Technology, and demonstrating effective planning, management and decision making.
PEO-4. Possessing high accountability and independence in leading life-long learning to generate advanced digital solutions with professionalism and high standards of ethical conducts within organization and society.
List of Compulsory Courses
- Research Methodology
- Advanced Algorithm
Choose One Elective Course
- Smart Cities.
- Big Data Analytics
- Advanced Computational Science and Technology
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