University of Kalyani M.Sc Statistics: Fees 2026, Course Duration, Dates, Eligibility

Kalyani, West BengalState UniversityEstd 1960NAAC Grade A 3.1
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Collegedunia Team

Content Curator | Updated on - Jun 24, 2026

The University of Kalyani’s Department of Statistics offers a 2-year Master of Science programme covering probability theory, mathematical statistics, regression analysis, time series analysis, multivariate analysis, and statistical computing using R and Python. The university ranks 118 in Collegedunia’s 2026 India Science Colleges list. Established in 1960 and NAAC A-accredited, the university in Kalyani, Nadia, West Bengal, has an active Department of Statistics with strong academic and research traditions.

📋 Admission Status: Applications for the 2026-27 session are expected to open through the University of Kalyani PG portal at kums.klyuniv.ac.in from August 2026 (Tentative).


Key Points

  • 2-year M.Sc Statistics at University of Kalyani
  • Total fee INR 8,370 for the 2-year programme
  • NAAC A grade university with science research labs
  • Pathway to ISS, data science, and actuarial careers

University of Kalyani M.Sc Statistics Fees 2026

ComponentAmount (INR)
Year 1 FeeINR 4,460
Year 2 FeeINR 3,910
Total Programme Fee (2 years)INR 8,370
  • Fee includes tuition, examination, and laboratory charges. Hostel charges are separate.

University of Kalyani M.Sc Statistics Admission 2026

EventDate
Application OpensAugust 2026 (Tentative)
Last Date to ApplySeptember 2026 (Tentative)
Departmental Test (if held)September 2026 (Tentative)
Merit List PublicationSeptember 2026 (Tentative)
Counselling and VerificationSeptember to October 2026 (Tentative)
Class CommencementOctober 2026 (Tentative)
  • Register at kums.klyuniv.ac.in for Kalyani University PG admission.
  • Admission based on qualifying degree marks.
  • The department may hold a written entrance test.
  • Confirm seat via counselling and document verification.

The dates mentioned above are tentative and subject to change.

Eligibility Criteria

  • B.Sc (Honours) in Statistics or Mathematics from a recognised university.
  • 50 percent aggregate marks in the qualifying degree (45 percent for SC and ST).
  • Merit-based admission through the University of Kalyani portal at kums.klyuniv.ac.in.

Admission Process

  • Watch for the PG admission notification on the official University of Kalyani website at klyuniv.ac.in.
  • Register on the PG admission portal at kums.klyuniv.ac.in and submit the online application for the relevant programme.
  • Upload scanned copies of graduation mark sheets and certificates, identity proof, photograph, and signature.
  • Appear for the departmental entrance test if notified, or await the published merit list based on qualifying marks.
  • Attend counselling and document verification at the Department and pay the admission fees to confirm the seat.

✓ Opt for this if

  • West Bengal graduates targeting ISS or statistical careers
  • Maths or Statistics graduates seeking affordable PG in West Bengal
  • Students planning CSIR-NET or PhD in Statistics after PG
  • Graduates wanting data science or actuarial careers at low cost

✗ Skip if

  • Students needing strong campus placement support
  • Graduates seeking industry-integrated or corporate training programmes
  • Students targeting premium institutes outside West Bengal

University of Kalyani M.Sc Statistics Scholarships 2026

ScholarshipAmountEligibility
West Bengal Post-Matric ScholarshipUp to INR 10,000 per yearSC, ST, and OBC students with family income below INR 2,50,000 per year
Swami Vivekananda Merit cum Means ScholarshipINR 12,000 per year (UG) / INR 18,000 per year (PG)Students with at least 60 percent in qualifying exam and family income below INR 2,50,000
National Scholarship PortalVariableCentral and state government scholarships available through scholarships.gov.in
Kanyashree K3INR 2,000 per monthFemale PG students continuing higher education in West Bengal
  • Apply for WB Post-Matric Scholarship at oasis.gov.in.
  • Swami Vivekananda: 60 percent aggregate required each semester.
  • PwBD students receive additional concessions under the Disability Act.
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University of Kalyani Latest Updates and News

16 Jul, 2026 University of Kalyani M.Sc Statistics Admission 2026-27 begins. Apply by Jul 24. Provisional merit list on Jul 27, followed by admission list on Jul 29, 2026. 

University of Kalyani Important Events

M.Sc4

University of Kalyani: Students' Opinion

AI-Generated Summary based on 2 Reviews

Admission to the college involves a process starting with an entrance exam, followed by the publication of exam marks and a merit list. Based on this list, three rounds of counseling sessions are held, after which students are admitted, with some securing admission during the 3rd counseling session. The department has only two permanent professors and four to five guest lecturers, highlighting an immediate need for five or six more experienced professors and improved laboratory facilities.

The Master’s course fee is approximately 3,700-4,000 INR per semester, totaling 15,000-16,000 INR for the 2-year program. Self-financing courses like Data Science, Nanoscience, and Food Technology have slightly higher fees. The college does not have an active placement cell or internship programs, leading to limited job opportunities. The Swami Vivekananda Merit-cum-Means Scholarship offers 2,500 INR per month and is available to students with good marks who have passed their Higher Secondary exams or are undergraduates.

Loans are only available for self-financed courses. Information about the scholarship is announced publicly when the state publishes HS results.

...Read More
 By Collegedunia’s Personal AI

University of Kalyani M.Sc Statistics FAQs

Ques. What does the M.Sc Statistics programme at Kalyani University cover?

Ans. The 2-year programme covers probability theory, distribution theory, statistical inference, regression and multivariate analysis, time series analysis, design of experiments, sampling theory, non-parametric methods, and statistical computing using R and Python. Students also undertake a dissertation project in the second year.

Ques. What is the eligibility for M.Sc Statistics at Kalyani University?

Ans. Applicants must hold a B.Sc (Honours) in Statistics or Mathematics from a recognised university with at least 50 percent aggregate marks (45 percent for SC and ST). A strong foundation in calculus, probability, and data analysis is expected. Admission is merit-based and a departmental entrance test may be held.

Ques. What is the total fee for M.Sc Statistics at Kalyani University?

Ans. The total fee for the 2-year M.Sc Statistics programme is INR 8,370, with Year 1 fee of INR 4,460 and Year 2 fee of INR 3,910. The fee covers tuition at INR 100 per month, examination, laboratory, and library charges. Hostel accommodation is billed separately.

Ques. What career options does M.Sc Statistics from Kalyani University offer?

Ans. Graduates can appear for the Indian Statistical Service examination conducted by UPSC, work as data scientists and quantitative modellers in banking and finance, join pharmaceutical companies as biostatisticians, qualify UGC NET in Statistics for college teaching, or pursue PhD in Statistics at IISc, ISI, or IITs for research and academic careers.

Ques. Can I qualify UGC NET after M.Sc Statistics from Kalyani University?

Ans. Yes. M.Sc Statistics from the University of Kalyani is UGC-recognised. Graduates with at least 55 percent aggregate are eligible to appear for UGC NET in Statistics and Mathematical Sciences, qualifying them for Junior Research Fellowship and assistant professor positions in Statistics departments.

Ques. What scholarships are available for M.Sc Statistics students at Kalyani?

Ans. Students can apply for the Swami Vivekananda Merit cum Means Scholarship (INR 18,000 per year for PG) by maintaining 60 percent aggregate. SC, ST, and OBC students can access Post-Matric Scholarships at oasis.gov.in. Central scholarships and INSPIRE fellowships are available at scholarships.gov.in for outstanding science graduates.

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