About the Programme
The Bachelor of Science programme in Economics, Mathematics and Statistics with Econometrics Honors/Honors with Research is an interdisciplinary programme offered jointly by the School of sciences and School of social sciences. This programme is uniquely designed for students who are interested in studying Economics with a solid understanding of quantitative methods derived from Mathematics and Statistics. The courses in Mathematics and Statistics offered are aimed at providing an excellent foundation for the quantitative study of Economics. After the successful completion of the three-year degree programme, the students have the option to do an honors programme/honors programme with research in econometrics or pursue graduate studies in economics, finance, actuarial science, data science, statistics, mathematics and related subjects.
Interdisciplinary Synergy
The programme bridges the gap between social sciences and exact sciences by integrating the analytical depth of Economics with the logical rigour of Mathematics and Statistics.
Quantitative Foundation
A core focus of the curriculum is building robust mathematical and statistical skills. Students master complex data analysis, mathematical modelling, and statistical inference, which serve as the essential language for modern economic theory and research.
Econometrics Specialization
Moving beyond general theory, the programme offers a dedicated track for Econometrics Honours. This allows students to apply mathematical models to real-world economic data, enabling them to forecast trends, evaluate policies, and conduct high-level empirical research.
Research & Advanced Pathways
Equips students with strong quantitative, computational, and analytical skills for higher studies, research, and industry applications. The pathway prepares students for global graduate programmes and careers in Mathematics, Statistics, Economics, Data Science, Actuarial Science, Quantitative Finance, Analytics, and academic research.
Why Choose This Programme?
Rigorous Core Curriculum
The programme provides a deep dive into the fundamental principles of Economics, Mathematics, and Statistics. Students build a strong theoretical base that serves as a launchpad for advanced analytical thinking and complex problem-solving in global financial landscapes.
Theory-to-Practice Integration
Bridging the gap between the classroom and the industry, this focus ensures that abstract concepts are applied to real-world economic scenarios. Students learn to translate theoretical models into actionable insights for policy-making and business strategy.
Scientific computational skills
In an increasingly data-driven world, students gain hands-on proficiency in industry-standard tools such as Python, R, and Tableau. This technical training enables them to handle big data, perform sophisticated econometrics, and create impactful data visualisations.
Experiential Learning through Internships
Through mandatory internships and value-added courses, students gain direct exposure to professional environments. This practical requirement ensures they graduate with professional work experience and a refined set of soft skills required by top-tier employers.
Global Professional Certifications
The curriculum is aligned with globally recognised certifications, including the Chartered Institute for Securities & Investment (CISI) and Bloomberg Market Concepts (BMC). These credentials validate students' expertise in financial markets and enhance their global employability.
Community engagement
Beyond technical expertise, the programme emphasizes social consciousness and the development of responsible global citizens and leaders. Through service learning courses, SDG-aligned projects, and field/industry visits, students are encouraged to apply quantitative and analytical skills to solve real-world problems while fostering ethical values, leadership, and social responsibility.
Choose Your Track
From the fourth year onwards, students can tailor their academic journey by selecting a specialized track that deepens their expertise in a chosen domain. These tracks are curated to meet the evolving demands of industry and academia, ensuring students transition seamlessly into professional roles or higher research.
It focuses on the application of advanced statistical methods to economic data, providing a rigorous framework for conducting original research, testing economic theories, and performing high-level policy analysis.
Ideal for students with a passion for abstract reasoning and quantitative logic, this track offers an intensive study of advanced mathematical structures.
This pathway emphasizes the collection, analysis, and interpretation of data to manage uncertainty. It is the perfect fit for students interested in risk management, actuarial science, or experimental design.
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 — Courses
Semester 2 — Courses
Semester 3 — Courses
Semester 4 — Courses
Semester 5 — Courses
Semester 6 — Course
Semester 7 — Courses
Semester 8 — Courses
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.
Microeconomics, Macroeconomics, Descriptive Statistics, Computational Statistics, Probability Distributions, Statistical Programming using R
Microeconomics, Macroeconomics, Statistical Inference, Statistical Inference using Lab, Elements of Stochastic Processes
Fundamentals of Economic Growth and Development, Mathematical Economics, Public Finance, Linear Regression Models, Linear Regression Models Lab, International Economics, Econometrics, Financial Economics, Time Series Analysis and Forecasting Techniques
Introductory Algebra, Calculus
Differential Equations and its Applications, Abstract Algebra, Financial Mathematics
Descriptive Statistics, Computational Statistics, Probability Distributions, Statistical Programming using R
Statistical Inference, Statistical Inference using Lab, Elements of Stochastic Processes
Linear Regression Models, Linear Regression Models Lab, Time Series Analysis and Forecasting Techniques
Message from the HOD
Bangalore Central Campus
Welcome to the Department of Mathematics!
Since its inception in 1969, the department has been steadily growing with its mission to orga
Message from the HOD
Welcome to the Department of Mathematics!
Since its inception in 1969, the department has been steadily growing with its mission to organize, create, connect and communicate mathematical ideas effectively through 4Ds: Dedication, Determination, Discipline and Direction. In our triple-major undergraduate programme the students acquire a holistic education with a solid foundation in Mathematics while in post-graduation they acquire the knowledge, skills and competency to excel in research, teaching, service sector and industry.
The doctoral students are provided with training opportunities and facilities that are conducive for research. The well chalked-out doctoral programme is facilitated by professors with excellent track-record in research publication. The standard of supervision available in-house is on par with reputed institutes.
Our curriculum caters to the diverse academic and career goals of the students. It covers core subjects and includes summer school programmes, internship activities, service- learning activities, individualized mentoring, research projects, seminars, inter-collegiate and intra-collegiate programmes. The dedicated band of teachers with their vast experience, excellent research credentials and passion for Mathematics make this mathematics fraternity unique and special.
So Welcome aboard! You are just one-step away and a one-decision away from a great experience and a purposeful future!
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: 31-Mar-2026.