About the Programme
MSc (Computational Statistics and Applied AI) is a two-year postgraduate programme offered in partnership with CleverInsight, Bangalore. The programme consists of four semesters where the classes are conducted during weekends. The industry-integrated MSc programme in Computational Statistics and Applied AI is an excellent opportunity for professionals who want to transition into the data science and AI fields.The programme structure is designed to equip students with industry-focused data science, data engineering, and applied AI modules
The programme's practical training and hands-on experience will give students the skills and knowledge to become data-driven decision-makers. Collaborating with industry experts and working on live projects provides students real-world experience, making them industry-ready.
Industry-Integrated Curriculum with CleverInsight
Designed in collaboration with industry experts to provide practical exposure in Computational Statistics, Data Science, Data Engineering, and Applied AI.
Weekend Classes with Hybrid Learning
Flexible weekend learning format enables students and professionals to pursue higher education without interrupting their careers.
Hands-on Learning through Live Projects
Gain real-world experience by working on industry-oriented projects, case studies, and practical applications in AI and analytics.
Career-Focused Training for Emerging Technologies
Develop in-demand skills and become industry-ready for roles in Data Science, Artificial Intelligence, Business Analytics, and related domains.
Why Choose This Programme?
Industry-Relevant Skill Development
Build practical skills aligned with current industry requirements in AI, analytics, and data-driven technologies.
Practical Learning with Real-world Projects
Gain hands-on experience through live projects, case studies, and real-world problem-solving activities.
Strategic Collaboration with CleverInsight
Benefit from industry exposure, expert mentoring, and collaborative learning opportunities through the partnership with CleverInsight.
Tailored Schedule for Working Professionals
Flexible weekend classes are designed to help professionals balance academic learning with work commitments.
Learn advanced AI techniques using the latest tools
Explore modern AI concepts and technologies using industry-standard tools and platforms.
Expert Faculty and Industry Collaboration
Learn from experienced academicians and industry professionals who bring both theoretical and practical insights to the classroom.
Choose Your Track
Build expertise in extracting meaningful insights from complex datasets using statistical methods, machine learning, and visualization techniques.
Gain practical knowledge in designing, managing, and processing large-scale data systems for modern enterprises.
Explore real-world AI applications and develop intelligent systems using modern AI tools and frameworks.
What You Will Learn
Programme Structure
The programme structure outlines the academic curriculum designed to provide a systematic progression of learning through core subjects, electives, and practical components across semesters, ensuring both theoretical understanding and skill development.
Semester 1 — Foundations of Statistics, Programming and Data Engineering
Semester 3 — Advanced Modeling and Applied Analytics
Eligibility & Fee Structure
Your Career Roadmap
Select a specialisation track to explore the learning journey and career outcomes tailored to your chosen domain.
I & II Semesters: Data Analyst, Junior Data Analyst, Reporting Analyst, Business Analytics Associate, Data Visualization Analyst
III & IV Semesters: Data Scientist, Business Intelligence (BI) Analyst, Big Data Analyst, Analytics Consultant, Machine Learning Analyst, Decision Science Associate
I & II Semesters: Data Analyst, Database Analyst, Junior Data Engineer, ETL Developer, Data Operations Associate
III & IV Semesters: Data Engineer, Cloud Data Engineer, Data Pipeline Developer, Data Platform Associate, Big Data Architect, Cloud Data Architect, Data Engineering Consultant
I & II Semesters: AI Analyst, Junior Data Scientist, Machine Learning Associate, AI Application Developer, Analytics Associate
III & IV Semesters: Machine Learning Engineer, Deep Learning Engineer, AI Engineer, Generative AI Engineer, AI Solutions Architect, AI Research Scientist
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: 24-Jun-2026.