BHU Ph.D Statistics: Fees 2026, Course Duration, Dates, Eligibility

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Banaras Hindu University (BHU), Varanasi, offers a Ph.D. in Statistics under the Department of Statistics, Faculty of Science -- one of the most reputed statistics departments in India with a legacy of over seven decades of research and teaching. The programme is a full-time, on-campus doctoral course with a minimum duration of 3 years (as per UGC norms), covering advanced research in areas such as probability theory, mathematical statistics, biostatistics, econometrics, stochastic processes, data science, and applied statistics. The fee structure falls under the Science faculty category, with a total base fee of approximately Rs. 7,640 in Year 1 and Rs. 6,120 per year thereafter. Admission is based on UGC NET/JRF qualification or BHU's Research Entrance Test (RET), and the programme is highly sought after by students aspiring to careers in academia, research institutions, and the rapidly growing data analytics and data science industry. BHU's Statistics department has strong research collaborations and a tradition of producing scholars who contribute to both theoretical and applied statistics.

Admission for the 2026-27 session has been completed. The 2026-27 PhD admission cycle at BHU (Science Faculty) saw online applications from December 3 to December 16, 2026, with interviews held between January 5-16, 2027, and results/offer letters published between January 24 and February 5, 2027. Reporting to the department was scheduled for February 10, 2027. The next admission cycle (2027-28) is expected to open tentatively in November-December 2027, based on the previous year's pattern.

Key Points

BHU's Department of Statistics is one of the oldest and most reputed statistics departments in India, with strong expertise in both theoretical and applied statistics.
The programme covers a wide range of research areas including probability theory, biostatistics, econometrics, stochastic processes, time series analysis, and data science.
JRF-qualified candidates receive a monthly fellowship from UGC (Rs. 37,000/month), making the programme financially very accessible.
The department has strong research collaborations with national institutions like ISI (Indian Statistical Institute), ICAR, and ICMR, providing excellent research exposure.
Graduates are in high demand in academia, government statistical services, research institutions, and the private sector (data analytics, fintech, pharma).

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FAQs

BHU Ph.D. (Statistics) Fees

The Ph.D. (Statistics) at BHU falls under the Science faculty fee structure, which is slightly higher than the Arts/Commerce category due to laboratory and development fund charges. The first year fee is higher due to one-time charges such as admission fee, enrollment fee, and caution money. The programme remains one of the most affordable doctoral programmes in statistics in India.

Fee Structure

Fee Component	Year 1 (INR)	Year 2 (INR)	Year 3 (INR)
Tuition Fee	2,000	2,000	2,000
Student Welfare Fund	300	300	300
Extra Curricular Activities Fund	210	210	210
Academic Assessment	100	--	--
Campus Utility Fee	410	410	410
Library Fee	500	500	500
Student Health Welfare Scheme	350	350	350
Development Fund	2,350	2,350	2,350
Registration Fee	20	--	--
Enrollment Fee	100	--	--
Admission Fee	150	--	--
I-Card and Passbook Fee	50	--	--
College Caution Money (Refundable)	1,000	--	--
Degree Charges	100	--	--
Total Fees	7,640	6,120	6,120
Grand Total (3 Years)			19,880

College Caution Money of Rs. 1,000 is refundable at the time of leaving the university.
Hostel fee (optional, not mandatory): Approximately Rs. 5,375 per year for male students.
Hostel availability is subject to seat availability and is not guaranteed.
Application fee for PhD admission: Rs. 600 (General/OBC) and Rs. 300 (SC/ST/PwD).
No EMI option is available; fees are paid annually at the time of enrollment.
JRF-qualified students receive a monthly stipend of Rs. 37,000 from UGC, which far exceeds the annual course fee.

BHU Ph.D. (Statistics) Admission 2026

BHU PhD admissions for the Science Faculty (including Statistics) are conducted annually, typically in November-December. From the 2026-27 session onwards, BHU has aligned its PhD admission process with NEP 2020 guidelines, and candidates with valid UGC NET/JRF scores are directly eligible for interview-based admission. The 2026-27 admission cycle for the Science Faculty has been completed. The next cycle (2027-28) is expected to follow a similar timeline.

Important Dates

Event	Date
Online Application Start	December 3, 2026
Online Application End	December 16, 2026
Correction Window	December 17, 2026
Call Letter Issue	December 20-24, 2026
Document Verification and Interview (Science Faculty)	January 5-16, 2027
Publication of Result and Offer Letter	January 24 - February 5, 2027
Fee Submission Deadline (First Round)	February 5, 2027
Reporting to Department	February 10, 2027
Second Cycle Admission Process Begins	February 12, 2027

Entrance Exam Dates

Exam	Conducting Body	Relevance	Tentative Schedule (2027)
UGC NET (including JRF) -- Mathematical Sciences	NTA	Primary qualifying exam for PhD Statistics admission at BHU; JRF holders receive monthly fellowship	June 2027 (tentative)
CSIR NET (Mathematical Sciences)	NTA	Also accepted for PhD Statistics admission; JRF holders eligible for fellowship	June 2027 (tentative)
BHU RET (Research Entrance Test)	BHU / NTA	For candidates without NET/JRF; used for BHU PhD admission	As per BHU notification (if applicable)

Note: For PhD in Statistics, both UGC NET (Mathematical Sciences) and CSIR NET (Mathematical Sciences) are accepted. Candidates with valid JRF from either exam are directly called for interview. Candidates are advised to check the official BHU admission portal (admission.bhu.ac.in) for the latest notification.

The dates mentioned above are tentative and subject to change.

Eligibility Criteria

Candidates must have a Master's degree (M.Sc. Statistics or equivalent) from a recognised university. Candidates with M.Sc. in Mathematics or allied subjects may also be eligible subject to department approval.
Minimum 55% marks in the qualifying degree (50% for SC/ST/PwD/OBC-NCL candidates as per UGC norms).
Candidates must have a valid UGC NET/JRF or CSIR NET/JRF score, or qualify the BHU Research Entrance Test (RET) if applicable.

Admission Process

Step 1: BHU releases the PhD admission notification on its official portal (admission.bhu.ac.in / bhuonline.in).
Step 2: Candidates register and submit the online application form along with the application fee.
Step 3: Call letters are issued to shortlisted candidates for document verification and interview.
Step 4: Physical verification of documents and personal interview are conducted at the Department of Statistics, Faculty of Science, BHU.
Step 5: Results and offer letters are published on the admission portal.
Step 6: Selected candidates submit fees online and report to the department on the specified date.
Step 7: A second cycle of admissions is conducted for any remaining vacant seats.

BHU Ph.D. (Statistics) Scholarships 2026

PhD students in Statistics at BHU can avail of several scholarships and fellowships. The most significant financial support comes through UGC-JRF/SRF or CSIR-JRF/SRF fellowships for NET-qualified candidates. Given the relatively low course fee, even the UGC Non-NET fellowship is sufficient to cover the entire programme cost. BHU also has its own scholarship and welfare schemes for eligible students.

Scholarship Details

Scholarship / Fellowship	Eligibility	Amount	Remarks
UGC Junior Research Fellowship (JRF)	Candidates who qualify UGC NET with JRF (Mathematical Sciences)	Rs. 37,000/month (JRF); Rs. 42,000/month (SRF after 2 years)	Most significant financial support; applied through UGC NET
CSIR Junior Research Fellowship (JRF)	Candidates who qualify CSIR NET with JRF (Mathematical Sciences)	Rs. 37,000/month (JRF); Rs. 42,000/month (SRF after 2 years)	Equivalent to UGC JRF; applied through CSIR NET
UGC Non-NET Fellowship	PhD students enrolled in universities who do not hold JRF	Rs. 8,000/month (Science)	Provided by UGC to universities for distribution to non-JRF PhD scholars
BHU Merit Scholarship	Based on academic merit at the time of admission	Varies	Limited seats; awarded by the university
SC/ST Scholarship (Government of India)	SC/ST students	As per government norms	Applied through National Scholarship Portal (scholarships.gov.in)
OBC Post-Matric Scholarship	OBC students	As per government norms	Applied through National Scholarship Portal
Rajiv Gandhi National Fellowship (RGNF)	SC/ST students pursuing PhD	Rs. 31,000/month (JRF level)	Administered by UGC; for SC/ST students specifically

JRF/SRF fellowships are the most sought-after and provide the most substantial financial support.
Students are advised to apply for both UGC NET and CSIR NET (Mathematical Sciences) to maximise their chances of fellowship support.
Application deadlines for government scholarships are typically in October-November each year on the National Scholarship Portal.

BHU Ph.D. (Statistics) FAQs

Ques. What research areas are available in Ph.D. (Statistics) at BHU?

Ans. BHU's Department of Statistics offers research in a wide range of areas including probability theory, mathematical statistics, Bayesian statistics, biostatistics, econometrics, stochastic processes, time series analysis, multivariate analysis, sampling theory, reliability theory, and applied statistics. With the growing importance of data science, research in machine learning, statistical computing, and big data analytics is also being pursued.

Ques. Can I apply for PhD Statistics at BHU with a Mathematics background instead of Statistics?

Ans. Candidates with M.Sc. in Mathematics or allied subjects may be eligible for PhD in Statistics at BHU, subject to the department's specific eligibility criteria for a given year. It is advisable to check the PhD Information Bulletin for the relevant year or contact the Department of Statistics directly to confirm eligibility before applying.

Ques. Is CSIR NET accepted for PhD Statistics admission at BHU, or only UGC NET?

Ans. Both UGC NET (Mathematical Sciences) and CSIR NET (Mathematical Sciences) are accepted for PhD Statistics admission at BHU. Candidates with valid JRF from either exam are directly eligible for interview-based admission. Both fellowships also provide the same monthly stipend of Rs. 37,000 (JRF) and Rs. 42,000 (SRF).

Ques. What career opportunities are available after PhD Statistics from BHU?

Ans. PhD Statistics graduates from BHU can pursue careers as Assistant Professors/Lecturers in Statistics departments (UGC-NET required), research scientists at institutions like ISI, ICAR, ICMR, DRDO, and CSIR labs, statisticians in government agencies like NSO (National Statistical Office) and RBI, and data scientists/analysts in the private sector (fintech, pharma, e-commerce, consulting). The demand for statisticians and data scientists is growing rapidly in India.

Ques. How competitive is admission to PhD Statistics at BHU, and how many seats are available?

Ans. The seat intake for PhD Statistics at BHU is limited, typically a small number of seats per year depending on faculty availability and research funding. Admission is competitive among candidates with strong backgrounds in statistics and mathematics. Having a UGC NET/JRF or CSIR NET/JRF qualification significantly strengthens your application. It is advisable to contact the Department of Statistics directly for the exact number of seats advertised in a given year.

Ques. Does BHU's Statistics department have industry collaborations or internship opportunities for PhD scholars?

Ans. BHU's Department of Statistics has research collaborations with national institutions including ISI Kolkata, ICAR, and ICMR. PhD scholars may also collaborate with government statistical agencies and participate in funded research projects. While formal industry internships are not a standard part of the PhD programme, scholars with strong computational and data science skills often find opportunities in the private sector through their own networks and research publications.

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BHU LLB Course is better than most Indian Colleges. Some of its salient features are:

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Massive lush green campus

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