Content Curator | Updated on - Apr 8, 2026

The M.Sc Quantitative Finance programme at Pondicherry University (PU), Puducherry, is a 2-year full-time postgraduate course offered by the Department of Statistics, started in 2012 under the UGC Innovative Programme for Teaching and Research in Interdisciplinary and Emerging Areas. It is a unique interdisciplinary programme blending courses from Finance, Commerce, Economics, Statistics, and Computer Science. The programme spans 4 semesters with an intake of 30 seats, and the total course fee is approximately Rs. 70,672 for Indian students (2026-27). Admission is based on CUET PG 2026 scores (Paper Code: COQP12). The programme is highly popular for its outstanding placement track record, with an average placement percentage of over 90% in the last three years, and is one of the very few M.Sc Quantitative Finance programmes offered at a central university in India.

Admissions for 2026-27 are currently in progress. The CUET PG 2026 examination has been conducted (March 6 - March 27, 2026), and results are expected by May 6, 2026. Following the result declaration, Pondicherry University will release its provisional select lists and conduct counselling, tentatively in June-July 2026. Candidates who have appeared in CUET PG 2026 with Paper Code COQP12 are eligible to apply for admission to this programme.

Key Points

The programme is one of the very few M.Sc Quantitative Finance programmes offered at a central university in India, making it a rare and sought-after qualification.
Students have access to a Bloomberg Terminal available in the university library, and several students have cleared the Bloomberg Market Concepts (BMC) Certification.
Students are also encouraged to clear NCFM (NSE Certified Market Professional) and NISM (National Institute of Securities Markets) certifications during the course.
Compulsory internships are part of the curriculum; regular internship providers include RBI, NABARD, LSE, MOSPI, banks, and stock brokerage companies.
The programme has maintained a 100% academic pass percentage over the years since its inception.
Enrichment lectures by industry professionals, virtual workshops on stock market trading, and group discussions are organized regularly.
The curriculum covers advanced tools including Python, R, SPSS, EViews, Gretl, Stata, Bloomberg, and CMIE-PROWESS.

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Pondicherry University Latest Updates and News

13 Apr, 2026 GAT-B 2026 correction window is open till April 13, 2026, for admission to M.Tech/ M.Sc/ M.V.Sc programs in Biotechnology. The exam will be held on May 17, 2026. Read More.

11 Apr, 2026 CUET PG 2026 provisional answer keys and response sheet out @exams.nta.nic.in. Raise objections till Apr 14, 2026. To know more, click here.

03 Feb, 2026 Pondicherry University Fee Structure 2026 is out for M.Sc Quantitative Finance programs. The total academic fee is ₹ 77,547 . Read more.

PU M.Sc Quantitative Finance Fees

The M.Sc Quantitative Finance programme at Pondicherry University is an interdisciplinary programme with a fee structure that reflects its specialized nature. The total course fee for the 2-year programme is approximately Rs. 70,672 for Indian students (2026-27), with the first year fee being approximately Rs. 37,672. This is higher than standard M.Sc programmes at PU due to the programme's specialized interdisciplinary character and industry-oriented resources. Hostel accommodation is available on campus at a nominal annual charge, with mess fees payable separately each semester.

Fee Structure

Fee Component	Semester I (Rs.)	Semester II (Rs.)	Semester III (Rs.)	Semester IV (Rs.)
Tuition Fee	3,000	3,000	3,000	3,000
Registration Fee	300	-	-	-
Matriculation Fee	100	-	-	-
Recognition Fee	400	-	-	-
Sports Fund	500	-	500	-
Medical Examination / Facilities Fund	600	-	600	-
Library Fund	1,500	-	1,500	-
Computer Lab Fund	2,000	-	2,000	-
Amenities Development Fund	6,000	-	-	-
Students' Welfare Fund	400	-	400	-
Alumni Association Fund	200	-	-	-
Caution Deposit (Refundable)	1,000	-	-	-
Advanced Lab Facility Fund	2,500	-	2,500	-
Placement Activity Fund	200	200	200	200
Academic Activity Fund	1,000	-	1,000	-
Digital Activity Fund	2,000	-	2,000	-
Industry Interface / Special Fund	14,000	-	14,000	-
Group Medical Insurance	472	-	-	-
University Development Fund	1,200	-	-	-
Total Fees	37,672	3,200	28,700	1,100

Total Course Fee (4 Semesters): Rs. 70,672

Caution Deposit of Rs. 1,000 is refundable upon leaving the university after deducting dues.
Differently-abled students are exempted from all fees except the refundable caution deposit and Group Medical Insurance premium.
SC/ST students eligible for post-matric scholarships may pay fees after receiving scholarship amounts (within 90 days of admission).
Hostel Fees (Non-Refundable, per year): Room Rent for PG students: Rs. 900; General Amenities Fund: Rs. 700; Establishment Charges: Rs. 300. Total annual hostel charge: Rs. 1,900 (excluding mess).
Hostel Caution Deposit (Refundable): Rs. 3,000 for Indian nationals.
Mess fees are paid each semester; exact 2026-27 mess fees will be notified separately by the hostel office.
Hostel accommodation is not mandatory; it is allotted on availability and recommendation of the Head of Department.
The exact semester-wise fee breakup for 2026-27 should be confirmed from the official PG Information Brochure 2026-27 at admissions.pondiuni.edu.in.

PU M.Sc Quantitative Finance Admission 2026

Admissions to M.Sc Quantitative Finance at Pondicherry University for 2026-27 are based on CUET PG 2026 scores (Paper Code: COQP12). The CUET PG 2026 examination has been conducted and results are awaited. The university will release provisional select lists after the CUET PG result, followed by online registration and counselling. The 2025-26 select list showed a General category top score of 207 and SC category cutoff of 24, indicating a competitive but accessible programme.

Admission Schedule

Event	Date
CUET PG 2026 Registration Start	December 14, 2025
CUET PG 2026 Registration End	January 25, 2026
CUET PG 2026 Admit Card Release	March 3, 2026
CUET PG 2026 Exam	March 6 - March 27, 2026
CUET PG 2026 Result	May 6, 2026 (tentative)
PU Provisional Select List / Counselling	June - July 2026 (tentative)
Batch Commencement	July - August 2026 (tentative)

Entrance Exam Dates

Event	Date
Application Start	December 14, 2025
Application End	January 25, 2026
Admit Card Release	March 3, 2026
Exam Dates	March 6 - March 27, 2026
Result Declaration	May 6, 2026 (tentative)

The dates mentioned above are tentative and subject to change.

Eligibility Criteria

Candidates must hold a B.Sc (Mathematics), B.Sc (Statistics), B.Com/BBA/BBM with Mathematics, B.A./B.Sc (Economics/Econometrics) with Mathematics, or a Bachelor's degree in Engineering/Computer Science/Computer Applications, with a minimum of 55% marks.
SC/ST candidates who have passed the qualifying examination are eligible to apply irrespective of the percentage of marks obtained.
Candidates awaiting final year results are also eligible to apply, subject to producing mark sheets before the date notified by the university.

Admission Process

Register and appear for CUET PG 2026 with Paper Code COQP12.
After CUET PG result declaration, apply online through the Pondicherry University admissions portal (admissions.pondiuni.edu.in).
Provisional select lists are published on the university website; no individual intimation is sent.
Shortlisted candidates must report for document verification and counselling as per the schedule.
Final admission is subject to verification of original documents and fulfillment of eligibility criteria.
Candidates requiring hostel accommodation must report to the department before registration and counselling.

PU M.Sc Quantitative Finance Scholarships 2026

Pondicherry University offers a range of scholarships to M.Sc Quantitative Finance students, both from the department and from central/state government schemes. The department's merit-based scholarship rewards academic performance each semester. Students can also avail themselves of central government scholarships such as the Central Sector Scholarship and state government scholarships, making the programme financially accessible despite its specialized fee structure.

Scholarship Details

Scholarship	Amount	Eligibility / Remarks
Department Merit Scholarship - Rank 1	Rs. 10,000 per semester	Highest CGPA in the semester in the batch
Department Merit Scholarship - Rank 2	Rs. 5,000 per semester	Second highest CGPA in the semester
Department Merit Scholarship - Ranks 3 to 15	Rs. 1,500 - Rs. 2,000 per semester	Based on semester rank list
Central Sector Scholarship (GoI)	Varies (up to Rs. 20,000/yr for PG)	For students who qualified Class 12 with top 20 percentile; income criteria apply
Post-Matric Scholarship (SC/ST)	Full fee reimbursement + maintenance	For SC/ST students; applied through National Scholarship Portal
OBC Post-Matric Scholarship	Varies	For OBC (Non-Creamy Layer) students; applied through National Scholarship Portal
State Government Scholarships	Varies by state	Students can apply for their respective state scholarships

Department scholarships are awarded based on the rank list published after each semester examination.
Central Sector and state scholarships must be applied for through the National Scholarship Portal (scholarships.gov.in).
SC/ST students eligible for post-matric scholarships may defer fee payment until scholarship receipt (within 90 days of admission).
Differently-abled students are fully exempted from all fees (except caution deposit and insurance).

PU M.Sc Quantitative Finance Placement 2026

The M.Sc Quantitative Finance programme at Pondicherry University has one of the best placement track records in the university since its inception in 2012. The average placement percentage over the last three years has been above 90%, with students placed in roles such as Financial Analyst, Risk Analyst, Data Analyst, Equity Research Analyst, and Quantitative Trader at banks, NBFCs, stock broking firms, and analytics companies. The programme's strong industry connect, Bloomberg Terminal access, NCFM/NISM certifications, and compulsory internships significantly enhance employability.

Placement Details

Placement Metric	Details
Average Placement Percentage (last 3 years)	Above 90%
Highest Package Reported	Rs. 7 LPA (Goldman Sachs)
Average Package	Rs. 3 - 4 LPA
Key Recruiters	Goldman Sachs, ICICI Bank, TCS, Wipro, Zoho, MakeMyTrip, ITC, stock brokerage firms, analytics companies
Key Internship Providers	RBI, NABARD, LSE, MOSPI, banks, stock brokerage companies
Key Job Roles	Financial Analyst, Risk Analyst, Data Analyst, Equity Research Analyst, Quantitative Trader, Business Analyst

Pondicherry University M.Sc Quantitative Finance Ranking

THE Ranking

#801 out of 801 in International 2020

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PU M.Sc Quantitative Finance FAQs

Q1. What makes M.Sc Quantitative Finance at Pondicherry University unique compared to other M.Sc programmes?

Ans. The M.Sc Quantitative Finance at PU is one of the very few such programmes offered at a central university in India. It is an interdisciplinary programme combining Finance, Statistics, Economics, Commerce, and Computer Science. Students get access to a Bloomberg Terminal, can earn NCFM and NISM certifications, and undertake compulsory internships at prestigious organizations like RBI, NABARD, and LSE. The programme has maintained a 100% academic pass percentage and over 90% placement rate since inception in 2012.

Q2. Which CUET PG paper should I appear for to get admission to M.Sc Quantitative Finance at Pondicherry University?

Ans. Candidates must appear for CUET PG 2026 with Paper Code COQP12. This is the same paper used for MBA and Commerce programmes. The paper tests General English, Reasoning, Problem Solving and Decision Making, basics of Computer Science, General Knowledge, and Contemporary Business Issues, similar to standard management entrance tests like CAT/GMAT/GRE.

Q3. What is the typical CUET PG cutoff for M.Sc Quantitative Finance at Pondicherry University?

Ans. Based on the 2025-26 provisional select list, the General category top score was 207 and the SC category cutoff was 24. The 2026 cutoff data shows General: 140, EWS: 93, OBC: 92, ST: 86, SC: 24. These figures indicate that the programme is competitive for General/OBC/EWS categories but accessible for SC/ST candidates.

Q4. What are the career prospects after M.Sc Quantitative Finance from Pondicherry University?

Ans. Graduates are placed in roles such as Financial Analyst, Risk Analyst, Data Analyst, Equity Research Analyst, Quantitative Trader, Business Analyst, and Portfolio Manager at banks, NBFCs, stock broking firms, and analytics companies. The highest package reported is Rs. 7 LPA (Goldman Sachs) and the average is Rs. 3-4 LPA. Students who wish to pursue higher studies can appear for GATE, GRE, or GMAT for admission to M.Tech/MBA/Ph.D. programmes in India and abroad.

Q5. Is the Bloomberg Terminal access available to all M.Sc Quantitative Finance students at Pondicherry University?

Ans. Yes. Pondicherry University has a Bloomberg Terminal available in the university library, and M.Sc Quantitative Finance students are encouraged to use it as part of their curriculum. Several students have cleared the Bloomberg Market Concepts (BMC) Certification through this facility. This is a significant advantage as Bloomberg Terminal access is typically available only at premium business schools.

Q6. Can engineering graduates apply for M.Sc Quantitative Finance at Pondicherry University?

Ans. Yes. The eligibility criteria explicitly include Bachelor's degree in Engineering and Bachelor's degree in Computer Science/Computer Applications (with minimum 55% marks). Engineering graduates with a strong interest in finance and quantitative methods are well-suited for this programme, as the curriculum covers both technical (Python, R, statistical modelling) and financial (derivatives, portfolio management, risk management) aspects.