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

Govandi, MumbaiDeemed to be UniversityEstd 1936NAAC Grade A+ 3.3
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Collegedunia Team

Content Curator | Updated on - Mar 31, 2026

The Master of Arts / Master of Sciences in Analytics is a 2-year full-time postgraduate programme offered by the School of Management and Labour Studies at TISS Mumbai. This self-financed programme is designed to equip students with advanced analytical skills to solve complex sustainability challenges through data-driven approaches. With an intake of 34 students, the programme combines theoretical knowledge with practical fieldwork, three internships totalling six months, and a 15-day rural immersion focused on primary survey design and data collection. The total course fees amount to 753,500 for the entire 2-year duration. The programme requires CUET-PG 2026 scores for admission. The MA/MSc Analytics programme uniquely integrates analytics with sustainability concepts to address dynamic challenges at both local and global levels.

Admissions for the 2026 batch are based on CUET-PG 2026 scores. The CUET-PG 2026 examination is scheduled from March 6 to March 27, 2026, with results expected by May 6, 2026. Registration for CUET-PG closed on January 25, 2026. Merit lists will be announced in phases, with the final merit list expected by late April 2026. Document verification and admission formalities will be completed by May 2026, with classes commencing in May 2026. The programme is self-financed with no fee concessions or waivers available.

Key Points

  • Unique integration of analytics with sustainability concepts and social justice principles
  • Comprehensive curriculum covering mathematical foundations, statistics, machine learning, and natural language processing
  • Extensive practical exposure through three internships totalling six months
  • 15-day rural immersion programme focused on primary survey design and data collection in rural India
  • Multidisciplinary approach combining perspectives from environmental, developmental, scientific, technological, and justice-related fields
  • Advanced analytical tools training including Python, R, GIS, Tableau, and Power BI
  • Strong emphasis on data ethics, privacy, and responsible data governance
  • Industry-relevant analytical competence with real-world problem-solving focus
  • Opportunity to work on dissertations addressing real-life problems across business, organizational, and institutional domains
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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 MA Analytics Fees

The MA/MSc Analytics programme is a self-financed programme with no fee concessions or waivers available. The total course fees for the 2-year programme amount to 753,500. The fees are distributed across four semesters, with higher charges in Semesters I and II due to lab/studio fund and development fund contributions. A refundable caution deposit of 11,000 is collected in the first semester. The programme has significantly higher fees compared to other TISS programmes due to its self-financed nature, specialized curriculum, and extensive practical components including internships and rural immersion.

Fee Structure by Semester

Fee ComponentsSemester ISemester IISemester IIISemester IV
Tuition Fee152,900152,900152,900152,900
Examination Fee1,1001,1001,1001,100
Field Education/Internship Charges6,6006,6006,6004,400
IT Charges2,2002,2002,2002,200
Library Charges1,6501,6501,6501,650
Other Charges (ID Card, Convocation, Misc.)2,750000
Students' Competency Fund01,10001,100
Lab/Studio Fund7,7007,7007,7007,700
Development Fund11,00011,00011,00011,000
Student Wellness & Welfare Fund550550550550
Alumni Fund055000
Health Care Fund2,20002,2000
Caution Deposit (Refundable)11,000000
Semester-wise Total199,650185,350185,900182,600
Yearly Total385,000368,500
Total Course Fees (2 Years)753,500
  • This is a self-financed programme with no fee concessions or waivers available.
  • The caution deposit is refundable upon exit from the programme with submission of No Dues Certificate.
  • Expenses for practicum, study tours, rural field work, or other field activities, if organized, are to be borne by students separately.
  • The programme includes three internships totalling six months and a 15-day rural immersion, with associated travel and accommodation costs to be borne by students.

TISS MA Analytics Admission 2026

The MA/MSc Analytics programme follows a structured admission process based on CUET-PG 2026 scores. The admission timeline includes application submission, examination, merit list announcements, and document verification. Candidates must meet specific eligibility criteria and demonstrate commitment to analytics and sustainability. The programme prioritizes candidates with strong academic backgrounds and genuine interest in applying data analytics to solve real-world problems.

Important Dates

EventDates
CUET-PG 2026 Registration StartDecember 14, 2025
CUET-PG 2026 Registration EndJanuary 25, 2026
Admit Card ReleaseMarch 3, 2026
CUET-PG 2026 ExaminationMarch 6 - March 27, 2026
Result DeclarationMay 6, 2026
TISS Application Form OpeningTo be announced
TISS Application Form ClosingTo be announced
Merit List I AnnouncementTo be announced
Merit List II AnnouncementTo be announced
Merit List III (Final) AnnouncementTo be announced
Document VerificationTo be announced
Classes CommencementMay 2026

The dates mentioned above are tentative and subject to change.

Eligibility Criteria

  • Bachelor's degree or Master's degree of minimum 3 or 4 years duration or equivalent from a recognized university
  • Valid CUET-PG 2026 score as per TISS's qualifying criteria
  • Strong academic record with demonstrated interest in analytics and data science
  • Preference for candidates with background in mathematics, statistics, computer science, or related fields

Admission Process

  • Register and apply for CUET-PG 2026 on the NTA website
  • Appear for CUET-PG examination scheduled from March 6-27, 2026
  • Check CUET-PG results on May 6, 2026
  • Register on TISS admission portal using CUET-PG score
  • Participate in merit list-based selection process
  • Complete document verification with original certificates
  • Pay admission fees and complete registration formalities
  • Attend orientation and commence classes in May 2026

TISS MA Analytics Scholarships 2026

The MA/MSc Analytics is a self-financed programme with no fee concessions or waivers available. Therefore, no scholarships are offered for this programme. However, students may explore external funding options through banks and financial institutions for educational loans. TISS does not provide institutional scholarships or financial aid for this self-financed programme. Students are encouraged to check with their respective state governments for any available scholarships or financial assistance programmes.

TISS MA Analytics FAQs

Q1: What is the difference between MA and MSc in Analytics at TISS?

Ans. Both MA and MSc in Analytics follow the same curriculum and have identical fees, duration, and admission requirements. The choice between MA and MSc is primarily based on the student's undergraduate background. Students with backgrounds in social sciences, humanities, or management typically receive the MA degree, while those with backgrounds in science or engineering typically receive the MSc degree. The programme content, learning outcomes, and career prospects are identical for both degrees.

Q2: What are the internship opportunities in the MA/MSc Analytics programme?

Ans. The programme includes three internships totalling six months spread across the 2-year duration. Internships are conducted in Semester II (4 credits), Semester III (4 credits), and Semester IV (6 credits). These internships provide practical exposure to real-world analytics problems in various sectors including corporate, NGOs, government, and research institutions. Students work on actual projects, applying theoretical knowledge to solve real-world problems and developing industry-ready analytical competence.

Q3: What is the rural immersion component of the programme?

Ans. The rural immersion is a 15-day intensive programme in Semester IV where students are exposed to rural socio-economic contexts and the role of data analysis. During this immersion, students design and conduct primary surveys in rural settings, collect and transcribe field data, and apply analytical techniques to generate insights from rural data. This component aims to familiarize students with rural India's data-driven understanding and develop their practical survey design and data collection skills.

Q4: What programming languages and tools are taught in the programme?

Ans. The programme provides comprehensive training in multiple analytical tools and programming languages including Python, R, SQL, Tableau, Power BI, QGIS (for spatial analytics), and Excel. Students learn data preprocessing, visualization, statistical analysis, machine learning, natural language processing, and database management. The curriculum emphasizes hands-on application of these tools to real-world datasets and problems.

Q5: What career opportunities are available after completing MA/MSc Analytics from TISS?

Ans. Graduates can pursue careers as data analysts, data scientists, business analysts, sustainability consultants, research analysts, policy advisors, and analytics professionals in various sectors including corporate, NGOs, government, international organizations, and research institutions. The programme's unique integration of analytics with sustainability and social justice principles makes graduates particularly valuable for organizations committed to sustainable development and social impact. Many graduates also pursue further studies in specialized analytics or related fields.

Q6: Is the MA/MSc Analytics programme suitable for non-technical backgrounds?

Ans. Yes, the programme is designed to accommodate students from diverse backgrounds. The curriculum includes foundational courses in mathematics, statistics, and computational tools to ensure students from non-technical backgrounds can successfully complete the programme. However, students with strong quantitative backgrounds may find the foundational courses less challenging. The programme emphasizes practical application and problem-solving, making it accessible and valuable for students from various academic backgrounds including social sciences, humanities, management, and science.

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