About the Programme
B.Sc. Economics, Data Analytics is a dual major, interdisciplinary programme. The key feature of this programme is the combination of insights from Economics and Data Analytics with hands-on experience in using various tools and technologies like Artificial Intelligence, Machine Learning, Data Analytics, Big Data, etc.
The programme also gives particular focus on skills required for complex decision-making in applied microeconomics, finance, market research, operations and policy analysis. The programme excels in its theoretical foundation and analytical skill formation through an innovative combination of qualitative and quantitative structures.
The progressive approach in the design of the curriculum facilitates students to pursue research/career in the areas of Data Analytics or Economics. This programme is extended to the fourth year as a B.Sc.(Hons) degree in Economics or Data Analytics, with or without research.
Economic Behaviour & Analytical Thinking
The programme is designed to help students understand economic behaviour, interpret data-driven trends, and apply analytical tools to real-world problems in finance, policy, business, market research, and development sectors.
Strong Interdisciplinary Foundations
The curriculum provides students with strong foundations in microeconomics, macroeconomics, econometrics, statistics, programming, database management, machine learning, big data analytics, AI, and research methodology.
Career-Ready Graduates
It prepares graduates for careers as data analysts, economists, policy analysts, financial analysts, researchers, consultants, and professionals in BFSI, public policy, corporate analytics, and development organisations.
Dual-Major with Technology Integration
The programme is a dual-major interdisciplinary programme integrating economics with data science skills including machine learning, data visualization, modelling, capstone/research exposure, and tools such as AI, Big Data, and NLP.
Why Choose This Programme?
Dual Strength in Economics and Data Analytics | The programme allows students to understand economic theories while also learning to analyse real-world data using modern analytical tools a unique combination highly valued by industry and research organisations.
Industry-relevant Curriculum | Courses such as machine learning, big data analytics, cloud analytics, business intelligence, web analytics, and econometrics make the programme highly relevant for analytics-driven careers in finance, consulting, and public policy.
Strong Research Orientation | Students develop research skills through econometrics, research methodology, project work, dissertation and capstone options, and the Honours with Research pathway for those aiming for academic or R&D careers.
Choose Your Track
Students can shape their academic and career journey by choosing from three high-demand pathways that combine economic reasoning with analytical, policy, and research skills. Each track prepares students for specific career outcomes in the data-driven economy.
Focuses on economic theory, policy evaluation, public economics, development issues, research methodology, and evidence-based decision-making. Ideal for students targeting civil services, think tanks, policy organisations, and academic research.
Focuses on programming, databases, machine learning, AI, big data analytics, cloud analytics, visualization, and data-driven problem solving. Ideal for students targeting roles in data science, analytics, and technology-driven industries.
Focuses on financial literacy, business intelligence, econometrics, market research, forecasting, business analytics, and decision support systems. Ideal for students targeting careers in BFSI, consulting, and corporate analytics.
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 — Foundation in Economics & Data Science
Semester 2 — Macroeconomics & Intelligent Computing
Semester 3 — Intermediate Economics & Database Systems
Semester 4 — Machine Learning & Big Data Analytics
Semester 5 — Econometrics, Neural Networks & Electives
Semester 6 — Advanced Econometrics, Data Mining & Project
Eligibility & Fee Structure
Career Paths
Message from the HOD
Delhi NCR Campus
Welcome to the Department of Computational Sciences, CHRIST(Deemed to be University), NCR Campus. Soon, India will be a talent provider to the world of computational sciences. To meet the demanding educational requirements in the field of sciences and preparing young minds to set a high benchmark in society, the University has started the School of Sciences with the Department of Computational Sciences as a separate wing. The mission of the budding department is to utilize the power of computational sciences to mould the young minds, to take up the challenging industry innovations for the betterment of society. Computational Science has marked its importance in our professional and personal life.
The curriculum is designed to
Message from the HOD
Welcome to the Department of Computational Sciences, CHRIST(Deemed to be University), NCR Campus. Soon, India will be a talent provider to the world of computational sciences. To meet the demanding educational requirements in the field of sciences and preparing young minds to set a high benchmark in society, the University has started the School of Sciences with the Department of Computational Sciences as a separate wing. The mission of the budding department is to utilize the power of computational sciences to mould the young minds, to take up the challenging industry innovations for the betterment of society. Computational Science has marked its importance in our professional and personal life.
The curriculum is designed to impart in-depth subject knowledge, problem-solving skills, personal grooming, and research aptitude. A well-qualified teaching staff with Ph.D. in the various domain will help the students to guide them in different latest areas of computing. Apart from the regular classroom sessions, the department pays attention to the holistic development of an individual. The students also get an opportunity to organize and coordinate various levels of department and university activities like corporate interfaces, fests, seminars, workshops, etc. The student community is also encouraged to be part of various science club activities for broadening their enthusiasm for Science. I am sure that the world-class facilities available to the students, the unending support of a team of dedicated teachers, the various co-curricular, extra-curricular activities available in each semester, and the fully engaged campus life will mould the students to face the challenges ahead in a matured manner.
Thank you for your interest and support
Dr. Bosco Paul Alapatt
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: 11-Jun-2026.