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
"Mathematics is not just about numbers, formulas, or calculations. It is about learning how to think, reason, question, and solve problems with confidence."
As you step into our department, you become part of a community that has been nurturing young minds since 1969. Over the years, we have grown into a vibrant academic family where learning goes beyond classrooms, examinations, and grades. We believe that mathematics is not merely a subject—it is a powerful way to understand the world and develop the skills needed to make a meaningful difference in it.
At the Department of Mathematics, our mission is simple yet purposeful: to organize, cr
Message from the HOD
Welcome to the Department of Mathematics
"Mathematics is not just about numbers, formulas, or calculations. It is about learning how to think, reason, question, and solve problems with confidence."
As you step into our department, you become part of a community that has been nurturing young minds since 1969. Over the years, we have grown into a vibrant academic family where learning goes beyond classrooms, examinations, and grades. We believe that mathematics is not merely a subject—it is a powerful way to understand the world and develop the skills needed to make a meaningful difference in it.
At the Department of Mathematics, our mission is simple yet purposeful: to organize, create, connect, and communicate mathematical ideas effectively through 4D's,
Dedication – Giving our best in everything we do.
Determination – Persisting through challenges and learning from setbacks.
Discipline – Developing consistency, responsibility, and academic integrity.
Direction – Setting meaningful goals and working towards them with purpose.
These are not just values we teach; they are values we strive to live every day. We strive to create an environment where curiosity is encouraged, questions are valued, and every student is empowered to discover their potential.
Learning with Purpose
Our undergraduate programmes are designed to provide a strong mathematical foundation while encouraging students to explore connections to technology, data science, economics, research, and other emerging fields. We want our students to understand not only how mathematics works but also why it matters.
One of the unique opportunities we offer is the Undergraduate Research Immersion Programme (UGRIP), which introduces students to research early in their academic journey. Through faculty mentorship and structured research activities, students learn to think independently, ask meaningful questions, and contribute to solving real-world problems.
For postgraduate students, the focus shifts toward deeper understanding, advanced analytical skills, and specialized knowledge. Our programmes prepare students for careers in academia, industry, research, finance, technology, and beyond.
Our doctoral scholars are part of a thriving research ecosystem that encourages innovation, collaboration, and academic excellence. Supported by experienced faculty mentors and international collaborations, they contribute to the creation of new knowledge and the advancement of the frontiers of mathematics.
Beyond the Classroom
We believe that true education extends beyond textbooks and lectures. Therefore, we encourage our students to engage in internships, research projects, seminars, workshops, fests, competitions, service-learning and community-based initiatives.
These experiences help students develop not only academic competence but also communication skills, leadership qualities, teamwork, adaptability, and social responsibility. Our goal is to nurture individuals who are academically strong, professionally competent, and socially conscious.
Supporting Your Aspirations through Scholarships
We recognize and celebrate talent and hard work. Through research scholarships, publication incentives, conference support, internships, and merit-based awards, we encourage students to dream bigger and pursue excellence.
Whether your ambition is to become a researcher, educator, data scientist, analyst, entrepreneur, or industry professional, we are committed to supporting your journey.
Our Faculty: Your Mentors
The greatest strength of our department is its people. Our faculty members are not only teachers and researchers but also mentors who genuinely care about every student's growth and success.
They are committed to creating a learning environment that is intellectually stimulating, supportive, and inspiring. Their guidance helps students navigate academic challenges, discover opportunities, and build confidence in their abilities.
A Journey of Growth
As you begin your journey with us, I encourage you to make the most of every opportunity. Ask questions. Explore new ideas. Participate actively. Challenge yourself. Learn from failures. Celebrate successes. Most importantly, never stop being curious.
The years you spend here will shape not only your academic future but also your character, values, and outlook on life.
Welcome to a department that believes in excellence, innovation, and holistic growth.
We look forward to learning, growing, and achieving together.
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.