In today’s data-driven world, the Bachelor of Science in Management (Honours) with a Major in Business Analytics at Ahmedabad University empowers students to leverage data and drive business innovation. Students acquire a thorough understanding of business processes, data science, and decision-making frameworks, enabling them to interpret complex data and make informed strategic choices. The curriculum integrates core business management courses with specialised topics such as statistical decision-making, machine learning, predictive analytics, and big data analytics, providing a strong interdisciplinary foundation. A standout feature of the programme is its focus on real-world applications. Students apply their classroom knowledge to industry-driven projects and engage in year-long collaborations with leading organisations. This hands-on experience allows them to tackle genuine business challenges and ensures a smooth transition into the professional landscape. Additionally, the programme emphasises a liberal education approach, fostering critical thinking and problem-solving skills. This well-rounded education equips students to lead business innovations and transformations effectively.
On completion, the student will be able to:
Data is changing how businesses operate, making business analytics an important skill across industries. In today’s fast-evolving digital landscape, transforming data into actionable insights is more crucial than ever. As businesses face an unprecedented demand for skilled professionals who can navigate the complexities of data management and interpretation, the spotlight is firmly on Business Analytics, and the opportunities are endless for those equipped with the right expertise. This specialisation offers students the opportunity to be at the forefront of this trend, equipping them with the tools to analyse data and influence key business decisions.
Graduates of this programme will have access to a wide range of career opportunities across various sectors, positioning them as in-demand professionals in roles such as Data Analyst, Business Analyst, Data Scientist, Market Research Analyst, Risk Analyst, and Operations Analyst. For those seeking specialised positions, the programme opens doors to exciting roles like Marketing Analytics Manager, Financial Analytics Consultant, and Supply Chain Analytics Expert, to name a few. With data becoming the backbone of decision-making in finance, healthcare, retail, and technology, students will be well-prepared to secure positions in well-established organisations and dynamic startups.
The programme also provides a solid foundation for students looking to pursue further studies. Graduates can explore advanced degrees such as a Master’s in Business Analytics, Data Science, or Management, or even pursue a PhD focused on analytics and data-driven decision-making. The comprehensive skill set developed through the programme, including analytical, technical, and strategic management skills, equips graduates to excel in various roles and thrive in the rapidly evolving business landscape.
| 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 |
| Business Analytics 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 |
| TOD310 Predictive Analytics for Business | 3 |
| TOD205 Database Management for Managers | 3 |
| TOD331 Supply Chain Analytics | 3 |
| Major Electives | 22 |
| TOD214 Applied Multivariate Analysis | |
| TOD301 Simulation Modelling | |
| TOD324 Services Operations Management | |
| TOD326 Project Management | |
| TOD331 Supply Chain analytics | |
| TOD526 Project Management | |
| TOD531 Analytics Lab | |
| TOD533 Advanced Business Analytics | |
| TOD535 AI for Business | |
| CSE521 Big Data Analytics | |
| ECO320 Time Series Econometrics | |
| ECO502 Game Theory & its Applications | |
| ECO520 Econometrics | |
| FAC635 Financial Modelling | |
| MAT211 Mathematics for Management | |
| MAT305 Mathematical Modelling | |
| MGT524 Dark Side of Organisation | |
| MGT628 People analytics | |
| MKT312 Essentials of Marketing Research | |
| MKT611 Marketing Research | |
| MKT631 Sales and Distribution Management | |
| MKT671 Marketing Analytics | |
| 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.