TISS Mumbai M.Sc Analytics: Fees 2026, Course Duration, Dates, Eligibility

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Collegedunia Team

Content Curator | Updated on - Mar 31, 2026

Master of Science (Analytics) at TISS Mumbai is a 2-year full-time self-financed postgraduate program designed to develop skilled data professionals and researchers with advanced knowledge in analytics, data science, and computational tools. The program spans 4 semesters with a total course fee of 753,500 for all students (self-financed program with no fee concessions). The primary entrance requirement is CUET-PG (Common University Entrance Test - Postgraduate). The program has an intake of 34 seats and is highly popular among students interested in data science, machine learning, business analytics, and computational analysis. This full-time on-campus program emphasizes theoretical knowledge, practical skills, hands-on experience with real-world data, and engagement with sustainability challenges through analytics.

Admissions for the 2026-27 batch are currently ongoing. CUET-PG 2026 applications closed on January 25, 2026, with exams conducted from March 6-27, 2026, and results announced on May 6, 2026. TISS will conduct its own merit-based selection process following CUET-PG results. Merit lists are expected to be announced in May-June 2026, with classes commencing in June 2026. For the 2027-28 batch, admissions are expected to open around December 2026 based on previous year patterns.

Key Points:

  • Comprehensive curriculum covering mathematical foundations, statistics, machine learning, natural language processing, and data science.
  • Specialized electives in HR Analytics, Financial Analytics, SDGs Analytics, Digital Marketing, Applied Game Theory, and Health Analytics.
  • Hands-on experience with industry-standard tools including Python, R, Tableau, Power BI, and GIS.
  • Three internships totalling six months providing practical experience in real-world analytics projects.
  • Fifteen-day rural immersion focused on primary survey design, data collection, and analysis in rural contexts.
  • Research-focused with dissertation work in Semesters III and IV (12 credits total).
  • Emphasis on data ethics, privacy, and responsible use of analytics for sustainability and social good.
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TISS Mumbai Latest Updates and News

15 Apr, 2026 CUET PG 2026 Results are expected to be released by First week of May @exams.nta.nic.in. To know more, click here.

TISS M.Sc Analytics Fees

The M.Sc (Analytics) program charges a total course fee of 753,500 for all students over 2 years (4 semesters). This is a self-financed program with no fee concessions available. The fee structure includes tuition fees (152,900 per semester), examination charges, field education charges, IT charges, library charges, lab/studio fund, development fund, and other miscellaneous charges. The high tuition reflects the specialized nature of the program and access to advanced computational tools and infrastructure.

Fee Breakdown Table

Fee ComponentSemester ISemester IISemester IIISemester IVTotal
Tuition Fee152,900152,900152,900152,900611,600
Examination Fee1,1001,1001,1001,1004,400
Field Education/Internship Charges6,6006,6006,6004,40024,200
IT Charges2,2002,2002,2002,2008,800
Library Charges1,6501,6501,6501,6506,600
Other Charges2,7500002,750
Students' Competency Fund01,10001,1002,200
Lab/Studio Fund7,7007,7007,7007,70030,800
Development Fund11,00011,00011,00011,00044,000
Student Wellness and Welfare Fund5505505505502,200
Alumni Fund055000550
Health Care Fund2,20002,20004,400
Caution Deposit (Refundable)11,00000011,000
Total Fees199,650185,350185,900182,600753,500
  • Caution deposit is refundable upon exit from the program with submission of No Dues Certificate.
  • This is a self-financed program with no fee concessions available.
  • Hostel charges are optional and available on need-cum-merit basis at 20,000 per semester with dining hall advance of 20,000 per semester charged separately.
  • Field work, study tours, and practicum expenses are borne by students.
  • Institute reserves the right to revise fee structure if necessary.

TISS M.Sc Analytics Admission 2026

The M.Sc (Analytics) program follows a merit-based selection process with CUET-PG as the primary entrance examination. Admissions are conducted annually with a structured timeline involving CUET-PG examination, merit list announcement, and document verification. The 2026-27 admission cycle is currently underway with CUET-PG results announced on May 6, 2026. For prospective candidates, the admission process involves CUET-PG qualification, merit-based selection by TISS, document verification, and orientation before classes commence.

Entrance Exam Dates

EventDate
CUET-PG NotificationDecember 14, 2025
CUET-PG Application DeadlineJanuary 25, 2026
CUET-PG Admit Card ReleaseMarch 3, 2026
CUET-PG Exam DatesMarch 6-27, 2026
CUET-PG Result AnnouncementMay 6, 2026

TISS Admission Timeline

EventDate
CUET-PG Result AnnouncementMay 6, 2026
Merit List I AnnouncementTo be announced
Merit List II AnnouncementTo be announced
Merit List III AnnouncementTo be announced
Document VerificationTo be announced
Orientation to New BatchTo be announced
Commencement of ClassesJune 2026 (Expected)

The dates mentioned above are tentative and subject to change.

Eligibility Criteria

  • Candidates must have a bachelor's degree (minimum 3 years) with at least 50% marks in aggregate or equivalent grade from a recognized university or equivalent qualification from accredited foreign institutions.
  • SC/ST/OBC (NCL)/Differently-Abled/EWS candidates receive 5% relaxation in marks as per Government of India guidelines.
  • CUET-PG qualification is mandatory for admission to this program.

Admission Process

  • Candidates must register and appear for CUET-PG conducted by NTA (National Test Agency).
  • Merit-based selection by TISS following CUET-PG results based on performance in the entrance examination.
  • Shortlisted candidates are called for document verification and counselling.
  • Final admission is confirmed after document verification and fee payment.
  • Orientation and induction program conducted before classes commence.

TISS M.Sc Analytics Scholarships 2026

This is a self-financed program with no fee concessions available. However, TISS may offer merit-based scholarships or financial assistance through external funding sources for deserving students. Candidates are encouraged to check the official TISS admissions website for any available scholarship opportunities and application procedures. The institute also facilitates access to research grants and travel funds for conference presentations and research activities.

Scholarship Details

AspectDetails
Fee ConcessionsNo fee concessions available (self-financed program)
Available AidMerit-based scholarships or financial assistance through external funding sources
ApplicationCheck official TISS admissions website
Additional SupportResearch grants and travel funds for conference presentations and research activities

TISS M.Sc Analytics Placement 2026

TISS has a strong placement record with M.Sc graduates securing positions in technology companies, financial institutions, consulting firms, government agencies, NGOs, and research organizations. Graduates of the Analytics program have pursued careers in data science, business analytics, machine learning engineering, and research. The institute maintains active placement support through its dedicated placement cell and alumni network. However, specific placement statistics exclusive to the M.Sc (Analytics) program for the current year are not publicly available. Interested candidates can contact the placement office at TISS for detailed placement information.

Placement Details

AspectDetails
Placement RecordStrong placement record with M.Sc graduates securing positions in technology companies, financial institutions, consulting firms, government agencies, NGOs, and research organizations
Career OptionsData science, business analytics, machine learning engineering, and research
Placement SupportDedicated placement cell and alumni network
Specific StatisticsNot publicly available for current year
ContactPlacement office at TISS for detailed information

TISS M.Sc Analytics FAQs

Ques. Is CUET-PG mandatory for admission to the M.Sc Analytics program?

Ans. Yes, CUET-PG is the mandatory entrance examination for admission to this program. Candidates must appear for CUET-PG conducted by NTA and qualify based on merit. TISS then conducts its own merit-based selection process for final admission.

Ques. What is the duration of the M.Sc Analytics program?

Ans. The program is a 2-year full-time master's degree spanning 4 semesters with a total of 80 credits. The program includes coursework, three internships (totalling six months), rural immersion, and dissertation components.

Ques. What are the career prospects after completing this program?

Ans. Graduates can pursue careers in data science, business analytics, machine learning engineering, and research. Employment opportunities exist in technology companies, financial institutions, consulting firms, government agencies, NGOs, and research organizations working on data-driven solutions.

Ques. Why is the fee for this program higher than other TISS programs?

Ans. This is a self-financed program with no fee concessions available. The higher fee reflects the specialized nature of the program, access to advanced computational tools and infrastructure, industry-standard software licenses, and specialized faculty expertise in analytics and data science.

Ques. What are the key specialization options available?

Ans. The program offers six disciplinary electives that students can choose from: HR Analytics, Financial Analytics, Sustainable Development Goals (SDGs) Analytics, Digital Marketing, Applied Game Theory, and Health Analytics. Students select three electives based on their career interests.

Ques. Does the program include practical experience and internships?

Ans. Yes, the program emphasizes practical learning with three internships totalling six months, a fifteen-day rural immersion focused on primary survey design and data collection, and hands-on experience with industry-standard tools including Python, R, Tableau, Power BI, and GIS. These components provide extensive real-world experience in analytics applications.

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