The Major equips students with analytical, statistical, and quantitative decision-making capabilities to solve complex organisational and societal problems by using mathematical models, data analysis, optimisation techniques, and statistical reasoning to support effective, evidence-based decision-making across diverse domains.
It is designed for students who wish to build strong analytical and computational skills relevant to business, industry, public systems, and research-oriented careers. Students learn how to model complex and unstructured problems, analyse relationships among variables, and derive optimal or data-driven solutions using quantitative methods. The curriculum combines theoretical foundations with practical applications through courses in statistics, data science, optimisation, simulation, stochastic processes, decision sciences, and analytical modelling.
On completion, the student will be able to:
Applications of tbis Major extend across business functions such as marketing, finance, supply chain management, human resources, and operations, as well as fields such as healthcare, engineering, public policy, climate studies, and technology management. Exposure to digital technologies, computational tools, and data-oriented methods further strengthens their ability to work in increasingly data-intensive environments.
Graduates majoring in Operations Research and Statistics pursue careers as business analysts, management science professionals, statisticians, quantitative consultants, and analytics specialists across industries. They find opportunities in consulting, information technology, financial services, manufacturing, logistics, healthcare, and research organisations. The Major also provides a strong foundation for graduate studies and research in quantitative, analytical, and computational disciplines.
| Offered by | Amrut Mody School of Management |
| Programme | Bachelor of Science in Management (Honours) |
| Degree | Bachelor of Science in Management (Honours) |
| Minimum Programme Credits | 167 |
| Minimum Major Credits | 80 |
| Operations Research and Statistics is also offered as a MINOR | |
| Credits | |
|---|---|
| Foundation Programme (Three Studios) | 9 |
| First Year Interdisciplinary Seminar on Critical Thinking and Writing | 3 |
Note: If a student’s performance in the First Year Interdisciplinary Seminar Course is unsatisfactory, they will have to retake the course during a specified time window.
| Credits | |
|---|---|
| Humanities and Languages ETH201 Ethics |
3 |
| Social Sciences ECO100 Microeconomics |
3 |
| Biological and Life Sciences | 3 |
| Mathematical and Physical Sciences CSD105 Introduction to Data Science |
3 |
| Performing and Visual Arts | 3 |
| MAT123 Pre-Calculus | 3 |
| MGT111 Identity and Behavior | 3 |
| COM101 Effective Reading and Comprehension Skills | 3 |
| GER Elective 1 (outside area of major) |
3 |
| Sports and Wellness* | 3 |
Notes:
|
Major Requirements |
Credits |
|---|---|
| School Core | 29 |
| ECO110 Macroeconomics | 3 |
| MGT112 Organisational Process | 3 |
| MAT142 Introductory Calculus | 3 |
| STA102 Probability and Random Variables | 4 |
| STA101 Introductory Statistics | 4 |
| TOD212 Decision Sciences | 3 |
| Courses on Digital Technology and Artificial Intelligence | 6 |
| DGT101 Digital Futures: Technologies and Transformations | 1.5 |
| Electives on Digital Technology and Artificial Intelligence courses | 4.5 |
| Courses on Sustainability | 3 |
| ENV103 Energy, Environment and Sustainability | 1.5 |
| MGT208 Introduction to Sustainability | 1.5 |
| Programme Core | 18 |
| MKT103 Marketing Management | 3 |
| MGT121 Human Capital Management | 3 |
| FAC133 Financial Management | 3 |
| FAC114 Financial Accounting | 3 |
| TOD221 Operations Management | 3 |
| MGT342 Strategic Management | 3 |
| Major Core | 11 |
| PRJ101 Understanding Business | 2 |
| TOD301 Simulation Modelling | 3 |
| Optimization (Under approval) | 3 |
| Stochastic Modelling (Under approval) | 3 |
| Major Electives | 22 |
| TOD201 Statistics for Decision Making | |
| TOD214 Applied Multivariate Analysis | |
| TOD310 Predictive Analytics for Business | |
| TOD331 Supply Chain Analytics | |
| CHE442 Optimisation Methods | |
| CSC514 Network & Combinatorial Optimisation | |
| CSE523 Machine Learning | |
| ECO320 Time Series Econometrics | |
| ECO502 Game Theory and its Applications | |
| ECO520 Econometrics | |
| ECO520 Stochastic Processes | |
| FAC635 Financial Modelling | |
| FAC636 Financial Econometrics | |
| MAT248 Applied Linear Algebra | |
| MAT250 Advanced Linear Algebra | |
| MAT256 Differential Equations | |
| MAT277 Probability and Stochastic Processes | |
| MAT305 Mathematical Modelling | |
| MAT501 Operations Research | |
| MAT502 Advanced Statistics | |
| STA202 Mathematical Statistics | |
| STA310 Bayesian Data Analysis | |
| STA355 Stochastic Processes |
University recognises the evolving expectations of employers, who seek adaptable, tech-savvy, and well-rounded individuals with strong communication, problem-solving, and teamwork abilities. Accordingly, the university integrates structured skill courses delivered through both internal and external platforms to prepare students as “T-shaped” professionals capable of applying knowledge effectively in diverse professional contexts. Skill courses are designed and offered with an aim to develop applied, demonstrable capabilities aligned with career aspirations and job roles.
Note: Courses to be taken from the existing list or approved On-campus courses and MOOCs: See document Mapping Skills to Jobs.
Free electives let students pursue any particular area in more depth, develop alternate areas of expertise, or learn more about many other interests. They provide flexibility for customising education at the University. It can take the following form:
Notes:
All graduating students must have completed an Undergraduate Thesis or a Capstone Project. Students can approach a faculty member within the University to serve as a mentor for their undergraduate thesis. Students with a CGPA below the cut-off must complete a capstone project. These projects involve interdisciplinary groups (four to six students) collaborating to solve real-world problems that require expertise from multiple fields. They identify a problem and seek guidance from a faculty mentor to formulate a capstone project, which can be done across two semesters (six credits each semester or three + nine credits) or in a single semester.
A summer internship offers invaluable professional experience and the chance to develop specific, employable skills. It provides an excellent opportunity to explore potential career paths post graduation or discover new graduate programme interests. This experience connects with industry, often serving as a direct stepping stone to a job offer. Most of our programmes include a mandatory internship requirement.
It's advised that you start thinking about internships early in the monsoon semester. You may seek advice from the Career Development Centre.
All students will complete 45 hours of community engagement to develop a sense of social responsibility, enhance problem-solving skills, and understand their role as engaged members of society. They must undergo a mandatory course, VOL101 Engagement with Society, which is a graduation requirement. Students are advised to complete the course during the first two years at the University. Volunteer work could include teaching underprivileged children, participating in adult literacy programmes, distributing blankets or other items, working with old age homes and orphanages, providing support and encouragement to patients at hospitals, cleaning heritage sites, engaging with workers on campus, operating a food bank, engaging with the police, municipal government, zoo, sanitation services, etc.