This rigorous 2-year postgraduate program provides in-depth knowledge and practical skills in data analysis, machine learning, and big data technologies. The program focuses on both theoretical and practical aspects of data science including statistical analysis, data mining, predictive modeling, and data visualization.
Curriculum Structure
Comprehensive semester-wise breakdown of the program
Career Prospects in Data Science
Graduates are prepared for high-demand roles across industries
Career Services
Comprehensive support to enhance employability in data science field
Flexible Fee Payment Options
Multiple payment options available to make education accessible
EMI Plans
Easy installment options available
Scholarships
Merit-based financial assistance
A Booming Sector With Growth & Promising Opportunities
Data science roles are projected to grow 36% from 2021 to 2031, much faster than average.
Graduates can explore roles in data science, machine learning, business intelligence, and big data engineering.
Program designed with input from industry experts to ensure relevant skill development.
Meet Our Faculty
Our faculty members are experts in their fields and are dedicated to providing students with a world-class education.
Dr. Sakshi Babbar
Machine Learning & AI Faculty
Machine Learning, Data Science, Generative AI
Dr. Tanupreet Sabharwal
Associate Professor
Artificial Intelligence, Machine Learning, Deep Learning
Dr. Ranjit Varma
Dy. Director
Information Technology, Research Methodology
Dr. Monica Rose
Assistant Professor
Data Analytics, Research Methodology
Frequently Asked Questions
Find answers to the most common questions about the program