About the Programme
The Doctor of Philosophy in the field of Statistics develops students as researchers to pursue careers as teachers in higher education or scientists in the government or private sector. Technological advances made it easier to collect big data and make correct decisions with the help of apt statistical models. This made Statistics as one of the most sought-after fields of science research. The Department of Statistics is committed to excellence in teaching and research. PhD programme in Statistics offered by the department enables students to develop novel statistical models, validate their statistical properties mathematically and implement them in applied fields through collaborative interaction with researchers in interdisciplinary fields.
Why Choose This Programme?
What You Will Learn
Eligibility & Fee Structure
Message from the HOD
Bangalore Central Campus
Welcome to the Department of Statistics and Data Science at CHRIST (Deemed to be University), Bangalore
The Department of Statistics and Data Science is a vibrant centre for learning, innovation, and research, reflecting the university’s vision of “Excellence and Service.” The department fosters an intellectually stimulating environment that nurtures analytical minds, encourages inquiry, and inspires innovation through data-driven thinking.
The disciplines of Statistics and Data Science converge here to create a powerful synergy between analytical reasoning and technological advancement. Statistics provides the foundation for understanding uncertainty, drawing inferences, and ensuring precision, while Data Science ext
Message from the HOD
Welcome to the Department of Statistics and Data Science at CHRIST (Deemed to be University), Bangalore
The Department of Statistics and Data Science is a vibrant centre for learning, innovation, and research, reflecting the university’s vision of “Excellence and Service.” The department fosters an intellectually stimulating environment that nurtures analytical minds, encourages inquiry, and inspires innovation through data-driven thinking.
The disciplines of Statistics and Data Science converge here to create a powerful synergy between analytical reasoning and technological advancement. Statistics provides the foundation for understanding uncertainty, drawing inferences, and ensuring precision, while Data Science extends this base through computational techniques, machine learning, and modern analytics. Together, they empower learners to transform data into knowledge and knowledge into impactful decisions.
Driven by a spirit of research and innovation, the department offers a range of programmes designed to meet emerging global and industry needs. These include an industry-integrated Postgraduate Programme, as well as a Dual Degree Postgraduate Programme offered in partnership with Steinberg University, which provides students with valuable international exposure and a global perspective in data-centric education. The curriculum integrates statistical reasoning with advanced analytical tools, enabling learners to interpret complex data, design intelligent models, and communicate insights effectively.
Through rigorous academics, hands-on projects, and a strong research culture, the department ensures that students develop both conceptual depth and practical expertise. The learning environment encourages creativity, collaboration, and critical thinking — essential for addressing contemporary challenges in an increasingly data-driven world. The department takes pride in preparing students to become innovative problem-solvers and responsible professionals who contribute meaningfully to global progress. Each learner who joins this journey becomes part of a community that values knowledge, ethics, and purposeful engagement.
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 for the 2026 batch are open. Deadline: 14-Jun-2026.