About the Programme
The BSc (Economics, Statistics / Honours / Honours with Research) ) is a double major program that provides students with a strong foundation in both disciplines. This interdisciplinary program develops analytical and quantitative skills, enabling students to understand economic theories and apply advanced statistical techniques. Through courses in Economics and Applied Statistics, students learn to analyze data, interpret trends, and make informed decisions. The program offers balanced exposure to both fields, with the option to specialize in either Economics or Statistics in the fourth year. Graduates are well prepared for careers in research, consulting, and public policy, or for higher studies in related domains.
Interdisciplinary curriculum
A unique double-major structure integrating economic theory with advanced statistical methods.
Industry & policy exposure
Internship opportunities, an industry-academia collaborated syllabus advisory board.
Research-integrated learning
Students engage in project-based and research-driven coursework using tools like STATA, R, Python, and econometric software.
Three degree levels
Graduate with a BSc, elevate with Honours, or push further with Honours with Research.
Why Choose This Programme?
Tech-enabled team teaching
Collaborative digital learning with multiple faculty
Honours option in IV year
Advanced specialization and academic enrichment pathway
Internship opportunities
Academic partnerships with industry and organizations
Research integrated curriculum
Learning combined with research-oriented academic training
Project inclusive curriculum
Hands-on learning through applied project work
Industry-academia collaborated syllabus advisory board
Curriculum designed with industry and academic experts
Choose Your Track
From the fourth year onwards, students can specialize based on their academic interests and career goals. In the 7th semester, students may choose a focused track in Economics or Statistics, with the option to pursue Honours or Honours with Research.
Focuses on economic theory, policy analysis, market behaviour, and applied economic research.
Emphasizes statistical modelling, data analysis, quantitative techniques, predictive analytics, and research-oriented statistical applications.
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 Economics & Statistical Thinking
Semester 2 — Analytical Methods & Data Applications
Semester 3 — Economic Systems & Statistical Techniques
Semester 4 — Applied Economics & Quantitative Modelling
Eligibility & Fee Structure
Career Paths
Your Career Roadmap
Select a specialisation track to explore the learning journey and career outcomes tailored to your chosen domain.
Principles of Economics, Introduction to Microeconomics, Introduction to Macroeconomics, Quantitative Methods & STATA, Mathematical Thinking
Microeconomic Theory & Applications, Macroeconomic Theory & Applications, Welfare Economics, Market Failures, Monetary & Fiscal Policy, Business Cycles
Econometrics, International Economics, Balance of Payments, Development Economics, Policy Evaluation, Internship & Case Studies
Descriptive Statistics, Mathematical Foundations for Statistics, Probability & Distribution Theory, Statistical Inference-I, Data Analytics using Python, STATA Applications
Statistical Inference-II, Regression Analysis, Multivariate Analysis, Sampling Theory, R/Python for Statistical Modelling, Data Visualisation
Econometrics, Time Series Analysis, Non-Parametric Methods, Statistical Quality Control, Internship & Industry Projects
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 for the 2026 batch are open. Deadline: 12-Jun-2026.