About the Programme
Analytics and Artificial Intelligence are now widely used in all areas of a business. Organizations today operate in a dynamic business environment, which means they must respond to changing client needs. Companies seek to delve into not only current information about their customers, goods, services, and business processes, but also historical data about their prior performances to gain insights and learn about previous trends and patterns. As a result, numerous sectors have adopted business analytics market software and solutions to analyze such trends, uncover new business possibilities, and design plans based on fresh insights. The two-year MBA (Business Analytics) is a degree programme offered by the Institute, admission to which is made on the basis of a competitive examination. Its focus is to familiarize the students with the increasing role of data and the insight it brings to decision-making at different levels of organizations.
MBA (BA) 2026-28
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Port Visit
The port visit facilitated by the Institute covering organizations and institutions connected with international business promotion and facilitation is intended to provide the students with an opportunity to get insight into the operational aspects of these organizations. This is an integral part of the Programme. The port visit and the report carry 3 credits.
Summer Internship Project (SIP)
During the first year, the students would undertake a Summer Internship in a firm as allotted to each candidate following the due process by Corporate Relations and Career Advancement Division (CRCA Division). The students should submit a report after successful completion of the Internship which will be evaluated. The Summer Internship Report carries 3 credits.
Social Awareness Programme (SAP)
As part of the MBA curriculum every student should take up an assignment with an NGO which should be for a period of 10-20 days. Students are free to select the NGO as per their choice. Students have to provide the details of the NGO to the Programme Office with the authorization letter of the NGO. After getting approval of the Head (GSM), students can start work with the concerned NGO. During the attachment, the students would be allotted beneficial assignments to exhibit their managerial talents by the respective NGOs. Sometimes volunteering field work is also part of this assignment. Generally, this activity is completed during the 3rd trimester. A report based on the attachment duly endorsed by the NGO should be prepared by the students and submitted to the Programme Office within the stipulated time. A panel/s of NGO representatives duly approved by the Head (GSM) will conduct the viva on the report and will submit their marks.
The marks awarded by the panel will be binding. Any failure in the Viva will disqualify the student from getting the degree. The students should ensure that the NGO attachment does not impediment their other academic responsibilities and commitments.
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MBA (BA) is a general management programme with a focus on Business Analytics.
- Provides training, research, and advisory support on trade policy, multilateral negotiations, and WTO-related legal and economic issues.
- Established by the Department of Commerce, Government of India.
- Plays a vital role in shaping India’s position in international trade negotiations.
- MBA (IB) students often get exposure to live trade policy research projects and internships.
- Organises WTO simulation exercises and policy roundtables.
- Core analytics subjects: Business Statistics, Machine Learning applications, Data Mining, Predictive Analytics, Big Data Technologies.
- Management foundations: Finance for Managers, Marketing, Operations, HR, Strategic Management (with analytics orientation).
- Electives / Specialisations: Analytics in functional domains (e.g., Supply Chain Analytics, Marketing Analytics, HR Analytics).
- Project/Capstone: Analytics driven business project or real-world case study in the final term.
- Internship: Summer internship where analytics skills are applied in industry setups.
- Focus: MBA-IB trains students in global business, trade and cross-border management. MBA-BA trains students in data analytics, statistics and data-driven business decision-making
- Structure:Both are full-time 2-year MBA programs, but MBA-IB is residential (with mandatory on-campus living) while MBA-BA is non-residential.
- Eligibility:Both require graduation with 50%, but MBA-BA additionally requires mathematics/statistics background
- Exams:Both accept CAT scores (MBA-BA also accepts GMAT). Selection in both involves GD/PI.
- Curriculum:MBA-IB includes international trade and economics courses with electives like marketing and finance
- MBA-BA includes analytics and quantitative courses (e.g. machine learning, econometrics) and is geared toward analytics careers.
Course Structure
| S. No. | Course Title | Credit |
|---|---|---|
| 1 | Probability Theory | 3 |
| 2 | Bayesian Techniques and Statistical Inference | 3 |
| 3 | Business Economics (Micro and Macro) | 4 |
| 4 | Marketing Management | 3 |
| 5 | Management Information Systems | 3 |
| 6 | Business Communication | 2 |
| 7 | Introduction to Business Analytics | 3 |
| Total (Trimester-wise) | 21 | |
| S. No. | Course Title | Credit |
|---|---|---|
| 1 | Regression and Time Series Models | 3 |
| 2 | Qualitative Data Analytics | 2 |
| 3 | Introduction to Basic Finance | 3 |
| 4 | Organization Behavior | 2 |
| 5 | Corporate and AI Ethics | 2 |
| 6 | Operations Research | 2 |
| 7 | Database Management System | 3 |
| 8 | Strategic Management | 2 |
| 9 | Business Research Methods | 2 |
| Total (Trimester-wise) | 21 | |
| S. No. | Course Title | Credit |
|---|---|---|
| 1 | Enterprise Risk Management | 2 |
| 2 | Data Visualization | 3 |
| 3 | Legal Aspects of Business (Corporate and IT Services) | 2 |
| 4 | Data Structures and Algorithms (Using R/Python) | 3 |
| 5 | Foreign Language | 3 |
| 6 | Operations Management | 2 |
| 7 | Comprehensive Viva | 3 |
| 8 | Elective – 1, Elective -2, Elective -3 | 2*3=6 |
| Total (Trimester-wise) | 18+6=24 | |
| S. No. | Course Title | Credit |
|---|---|---|
| 1 | Natural Language Processing | 3 |
| 2 | Supply Chain Management | 2 |
| 3 | Predictive Analytics | 2 |
| 4 | Elective-4, Elective-5, Elective-6, Elective-7, Elective-8, Elective-9 | 2*6=12 |
| Total (Trimester-wise) | 7+12=19 | |
| S. No. | Course Title | Credit |
|---|---|---|
| 1 | Machine Learning | 2 |
| 2 | Elective-10, Elective-11, Elective-12, Elective-13, Elective-14, Elective-15 | 2*6=12 |
| Total (Trimester-wise) | 2+12=14 | |
| S. No. | Course Title | Credit |
|---|---|---|
| 1 | Elective-16, Elective-17, Elective-18 | 2*3=6 |
| Total (Trimester-wise) | 6 | |
| S. No. | Course Title | Credit |
|---|---|---|
| 1 | Port/Industry Visits | 3 |
| 2 | Summer Project (Internship) | 3 |
| 3 | Research Project | 3 |
| 4 | Comprehensive Viva at the end of Trimester III & V | 3+3 |
| 5 | Social Awareness Programme (SAP) | 3 |
| Total | 18 | |
| S. No. | Course Title | Credit |
|---|---|---|
| 1 | Total Core Courses | 63 |
| 2 | Electives (18X2)* | 36 |
| 3 | Foreign Language | 03 |
| 4 | Others | 18 |
| Total (I+ II+ III+ IV+ V+ VI+ Others+ Electives + Foreign Language) | 120 | |
* 12 Analytics Electives and 6 Management Electives
IIFT Campuses
Delhi Campus
- IIFT Bhawan, B-21, Qutab Institutional Area, New Delhi - 110016
- +91-11-39147200
- +91-11-26853956
Kolkata Campus
- 1583 Madurdaha, Chowbagha Road, Ward No 108, Borough XII, Kolkata 700107
- 033 - 35014500
- 033 - 2443 2454
Kakinada Campus
-
JNTU campus, Kakinada
Andhra Pradesh-533003 - 0884 - 2944655 & 2944955
GIFT City Campus
-
GIFT Tower 2,
Floor 16 & 17,
Road 5c, Zone 5, GIFT City
Gandhinagar - 382050 - 9875171119
