- April 23, 2026
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The Master of Arts (M.A.) in Analytics at the Tata Institute of Social Sciences (TISS), Mumbai, is a flagship self-financed program. Designed to bridge the gap between technical data science and strategic decision-making, the course is ideal for professionals looking to excel in Business Analytics without requiring intensive coding expertise.
In the modern era of data-driven decision-making, the M.A. in Analytics at the Tata Institute of Social Sciences (TISS) has emerged as a flagship program. Whether you are interested in Business Analytics or Data Science, this course bridges the gap between technical expertise and strategic problem-solving.
If you are aiming for a career where you use data to solve complex organizational problems without necessarily being a "hardcore coder," this program is designed for you.
Particulars | Details |
Course Level | Post Graduate (M.A.) |
Duration | 2 Years (Full-time) |
Mode of Admission | Entrance-Based (CUET PG) |
Total Intake | 34 Seats |
Total Course Fees | ₹7.53 Lakhs (Self-Financed) |
Average CTC (2025) | ₹15.2 LPA |
Highest CTC (2025) | ₹29.0 LPA |
Top Recruiters | Deloitte, EY, Dream11, HCL, TCS |
To be eligible for the M.A. Analytics program at TISS Mumbai, candidates must fulfill the following requirements:
● Academic Qualification: Candidates must possess a Bachelor’s degree (minimum 3-year duration) or a Master’s degree from a recognized university.
● Discipline: Students from any stream (Arts, Science, Commerce, Engineering) are eligible to apply.
● Final Year Students: Candidates in their final year of graduation are also eligible to apply, provided they complete all requirements by the time of admission.
TISS has replaced its own entrance exam (TISSNET) with the CUET-PG for the Analytics program. The selection process follows these steps:
1. Entrance Exam: Candidates must appear for the CUET-PG (Common University Entrance Test) conducted by NTA.
2. Registration: Post-CUET results, candidates must register on the official TISS admission portal.
3. Shortlisting: Candidates are shortlisted based on their CUET-PG scores.
4. Final Merit List: The final selection is based on the entrance score followed by the university's prescribed weightage for further rounds (if applicable).
Due to the limited intake of 34 seats, the competition is high. Based on recent trends, the expected cutoffs are:
● Safe Score: 270 - 275+ (out of 300)
● General Cutoff Range: 260 - 270 marks
The M.A. Analytics program is a self-financed course. The fee structure is higher than regular TISS programs but offers a high Return on Investment (ROI).
Component | Total Amount (Approx.) |
Total Program Fee (2 Years) | ₹7,53,000 |
Note: Fees are subject to change per TISS administration guidelines. Additional charges for hostel and mess may apply.
TISS Mumbai consistently records 100% placements for its Analytics batch. The 2023-25 placement report highlights a significant demand for data-driven roles.
Category | Package (LPA) |
Highest Package | ₹29.0 LPA |
Average Package | ₹15.2 LPA |
Top 10% Average | ₹22.5 LPA |
Top 50% Average | ₹17.2 LPA |
Graduates are placed across diverse sectors including Consulting, Tech, and E-commerce.
● Consulting: Deloitte, EY (Ernst & Young)
● Tech & IT: HCL, TCS, Mphasis, Bosch
● E-commerce & Gaming: Dream11
● Other Key Partners: BDX, Exterro
● High ROI: With an average salary of ₹15.2 LPA against a fee of ₹7.53 Lakhs, the program pays for itself within the first year of employment.
● Diverse Peer Group: Unlike traditional MBA-Analytics programs, TISS encourages students from various academic backgrounds.
● Holistic Approach: The curriculum focuses not just on "hardcore coding" but on using data to solve complex social and organizational problems.
The TISS M.A. in Analytics is a high-value program for those looking to pivot into the world of data. With a reasonable fee structure and a high average placement of ₹15.2 LPA, it stands as a formidable alternative to traditional MBA Analytics programs.

Q. Is there any age limit for applying?
A. No, TISS does not prescribe any upper age limit for the M.A. Analytics program.
The expected TISS M.A. Analytics cutoff generally falls between 260–270 marks, while a safe score is considered 270+ out of 300 in CUET PG.
Admission to TISS M.A. Analytics is through the CUET PG entrance exam. Candidates need to appear for CUET PG, meet the cutoff, and complete the TISS admission process.
The TISS M.A. Analytics syllabus follows the CUET PG pattern and generally includes Logical Reasoning, Quantitative Aptitude, Data Interpretation, English Comprehension, and General Awareness, depending on the paper code.
TISS M.A. Analytics placements are strong, with 100% placement support, average package around ₹15.2 LPA, and top recruiters like Deloitte, EY, Dream11, and TCS.
The TISS M.A. Analytics average package is approximately ₹15.2 LPA, while top performers can secure significantly higher packages.
The TISS M.A. Analytics highest package recorded for the recent batch was ₹29 LPA, reflecting strong demand for analytics roles.
The TISS M.A. Analytics fees are approximately ₹7.53 lakhs for the full two-year program, excluding hostel and mess charges.
Yes, because of its strong ROI, industry-oriented curriculum, and high placements, many students consider it one of the best analytics programs in India.
No, this program is not designed only for hardcore coders. It focuses on business analytics, problem-solving, and data-driven decision-making, making it suitable for diverse academic backgrounds.
Graduates from Arts, Commerce, Science, Engineering, or any discipline can apply, provided they meet the eligibility criteria.
Q. How many seats are available in TISS M.A. Analytics?
The program has a limited intake of 34 seats, which makes admissions highly competitive.
For students seeking a blend of analytics + strategic problem-solving, TISS offers a unique alternative to traditional MBA Analytics programs.
Yes, students from non-engineering backgrounds are eligible and often form a significant part of the cohort.
Graduates can build careers in Business Analytics, Data Consulting, Risk Analytics, Product Analytics, Research, and Strategy roles.
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