About the Programme
Master of Data Science (MDS) is a two-year postgraduate program designed to develop expertise in data-driven decision-making through an interdisciplinary blend of Statistics, Computer Science, and Analytics. The program emphasizes both theoretical foundations and practical applications of data science using industry-relevant tools and technologies. Students gain hands-on experience through projects, internships, case studies, and research-oriented learning. The curriculum integrates emerging areas such as Artificial Intelligence, Machine Learning, and Big Data Analytics to prepare learners for evolving industry and research demands. With opportunities for specialization, collaborative learning, and industry interaction, the program equips students for careers in academia, research, analytics, and technology-driven organizations. Students can pursue a 1+1 Systems Science pathway with Binghamton University and graduate with dual degrees and international academic exposure.
Eligibility & Fee Structure
Message from the HOD
Pune Lavasa Campus
Greetings from the Department of Statistics and Data Science!
The Department of Statistics and Data Science at CHRIST (Deemed to be University), Pune Lavasa Campus is an intellectually vibrant space where Data Science, Economics, Mathematics and Statistics come together to build the foundations of analytical thinking and innovation. Known as “The Hub of Analytics,” the Lavasa Campus provides an ecosystem that encourages exploration, experimentation, and interdisciplinary learning. Our programs are designed to combine theoretica
Message from the HOD
Greetings from the Department of Statistics and Data Science!
The Department of Statistics and Data Science at CHRIST (Deemed to be University), Pune Lavasa Campus is an intellectually vibrant space where Data Science, Economics, Mathematics and Statistics come together to build the foundations of analytical thinking and innovation. Known as “The Hub of Analytics,” the Lavasa Campus provides an ecosystem that encourages exploration, experimentation, and interdisciplinary learning. Our programs are designed to combine theoretical depth with practical application, preparing students to translate data into actionable insights. Through a blend of classroom learning, industry internships, live research projects, and case-based studies, students gain hands-on experience in applying analytical methods to real-world challenges. Faculty members with strong research and industry backgrounds mentor students closely, fostering curiosity, precision, and creativity.
The department also promotes active engagement through technical clubs, hackathons, seminars, and collaborative research initiatives, helping students stay aligned with emerging trends in analytics, economics, and data-driven decision-making.
At the heart of our philosophy is the belief that data is more than numbers—it’s a way to understand people, policies, and progress. We aim to nurture professionals who are not only skilled analysts but also thoughtful contributors to society’s evolving digital and economic landscape.
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.