About the Programme
Data Science is popular in all academia, business sectors, and research and development to make effective decision in day-to-day activities. The Master of Data Science (MDS) is a postgraduate program that combines computer science and statistics to foster proficiency in data-driven decision-making. It is a two-year course comprising six trimesters. This programme aims to provide opportunity to all candidates to master the skill sets specific to data science with research bent. The curriculum supports the students to obtain adequate knowledge in theory of data science with hands on experience in relevant domains and tools. Candidate gains exposure to research models and industry standard applications in data science through guest lectures, seminars, projects, internships, etc.
Eligibility & Fee Structure
Message from the HOD
Bangalore Yeshwanthpur Campus
The Department of Statistics and Data Science is committed to fostering an engaging research atmosphere and delivering quality education. Our goal is to offer cutting-edge training in scientific methodologies that empower individuals with data-driven solutions. The curriculum is designed in accordance with global standards to ensure top-notch research and educational experiences in statistics and data science. It combines statistical expertise with the necessary tools and techniques in data science to effectively navigate and make sense of intricate, real-time data sets.
Message from the HOD
The Department of Statistics and Data Science is committed to fostering an engaging research atmosphere and delivering quality education. Our goal is to offer cutting-edge training in scientific methodologies that empower individuals with data-driven solutions. The curriculum is designed in accordance with global standards to ensure top-notch research and educational experiences in statistics and data science. It combines statistical expertise with the necessary tools and techniques in data science to effectively navigate and make sense of intricate, real-time data sets.
Admission Process
- Register with your Email ID
- Login to the Admission Portal
- Fill the Application Form
- Pay Application Fee
- Entrance Test (If Applicable)
- Assessment
- Interview
- Check login page for result
- If selected, Offer Letter attached
- Pay Course Fee Online
- Complete Admission Process
Ready to Apply?
Applications are open. Deadline: 2026-12-06 23:45:00.