MBA in Business Analytics 

at IIFT Delhi, Qutab Institutional Area

Candidates can contact the IIFT Delhi admission office to confirm whether admission is accepted directly through the Management quota or not. This can be confirmed by officials only. Candidates will have to meet the minimum eligibility criteria even in case of direct admissions or any other criterion prescribed by the institute. Aspirants can also visit the IIFT Delhi official website for more information.

108 companies visited the campus during the IIFT placements of 2023 for MBA IB. The highest domestic package offered in 2022 was INR 76.5 LPA. The highest international package offered in 2023 was INR 85.4 LPA. The average package in 2023 stood at INR 29.1 LPA. 

Professional services emerged as the top recruiting sector with placement distribution of 23% during IIFT Delhi MBA placements 2024. The sector-wise placement distribution recorded during IIFT Delhi MBA placements 2024 is presented below:

Sectors	MBA IB Placement Distribution (2024)
Professional Services	23%
BFSI	21%
Information Technology	17%
FMCG/FMCD/ Retail	14%
Energy/Industrial/ Materials/Real Estate	8%
E-commerce & Telecom	6%
Transportation/ Logistics/Trade	5%
Pharma & Healthcare	4%
Automobile	2%

IIFT Delhi fee of the MBA for General/ OBC category candidates is between INR 4 lakh - INR 21.77 lakh. Admissions are based on entrance exam scores and various other rounds. Candidates must thoroughly go through the IIFT Syllabus, must have knowledge of the IIFT exam pattern, and must check the IIFT exam analysis for a clear understanding.

Indian Institute of Foreign Trade (IIFT) is one of the top Management institutes in the country. It has grabbed #15 rank in the NIRF 2024 rankings in the Management category. The overall the highest and average stipend offered (for two months) during IIFT Delhi summer placement 2025 for the MBA IB batch of 2024-26 stood at INR 6 Lacs and INR 2.73 lakh, respectively. Moreover, the Sales and Marketing domain emerged as the top recruiting domain. Furthermore, in the MBA BA batch of 2024-26, the highest and average stipend stood at INR 4 Lacs and INR 1.42 lakh, respectively.

IIFT Delhi provides good placements to its studnets. The key highlights of MBA IB and MBA BA placements 2025 are mentioned below: 

Particulars	MBA IB Placement Statistics 2025	MBA BA Placement Statistics 2025
Highest international package	INR 123 LPA	INR 60 LPA
Highest domestic package	INR 72 LPA	INR 72 LPA
Average package	INR 31.3 LPA	INR 25.3 LPA
Median package	INR 26 LPA	INR 20 LPA
Total recruiters	135	25

Both the colleges as per our comparison are at par on almost all the parameters we chose. But if you have a keen interest in studying International Business, IIFT Delhi is the best college you can opt for. It prepares you for International exposure and also gives you many opportunities in terms of placements outside India. It specialises in International Business and so it makes it the best B-school for International Business. But if you’re looking for an MBA in General Management, IIM Kozhikode is hands down better than IIFT in every aspect. It ranks much higher than IIFT as per all the rankings over the last few years.

Some of the top recruiters that visited during IIF Delhi placements 2025 were Accenture, EY, ITC, Phillips and PwC.

IIFT Delhi is one of the leading Management Institutes in India and provides good placements. During the MBA IB and MBA BA placements 2025, overall highest package offered was INR 123 LPA and 72 LPA.

MBA IB and MBA BA median package recorded in 2025 was 26 LPA and 20 LPA.

For the IIFT Delhi MBA in Information Technology specialisation, a total of six elective subjects are available. Candidates are required to opt for 18 electives. They can major in two functional areas and minor (3) in any other functional areas or major in three functional areas. The electives available under Information Technology specialisation are:

• IT Project Consultancy
• Software Product Management
• Enterprise Resource Planning (ERP) Systems
• Online Business & E-Commerce
• Data Modelling and Visualisation
• Machine Learning and Artificial Intelligence