MSc in Data Science

Curriculum

The curriculum is designed to be both flexible and comprehensive, allowing students to tailor their studies according to their interests and career goals. Core courses cover the essential aspects of data science, while elective courses allow for specialization in areas such as:

Core Courses

Data Science Concepts and Machine Learning
Advanced Data Management
Big Data and Data Mining
Neural Networks and Fuzzy Logic
Statistics and Mathematical Modeling
Python for Machine Learning
Professional Practice
Project Management
Research Methodology
Entrepreneurship
Topics in Emerging Technologies
AI Techniques and Applications
Advanced Algorithms

Electives

Data Visualization and Business Intelligence
NW Planning, Design, and Management
Data and Computer Security

Admission Requirements

A Bachelor’s degree in Engineering, Science, OR Technology in a Computing field obtained from a recognized university

OR A Bachelor’s degree in any subject area other than mentioned in (a) above, with at least 35% of the total credits of the program being in computing or IT-related subjects, obtained from a recognized university, and a minimum of one-year appropriate experience in a field of computing after graduation

OR Membership of a recognized professional institute relevant to the field of Computing, obtained through an academic route (SLQF 6), and a minimum of one year of appropriate experience after the membership is obtained