The world of securities markets, encompassing stocks, bonds, commodities, and derivatives, is a complex and dynamic ecosystem that relies heavily on data and information. In recent years, data science has emerged as a transformative force within this sector, revolutionizing trading strategies, risk management, compliance, and decision-making processes. This article explores the profound impact of data science on securities markets and how it is reshaping the industry.
This program is designed in a way that helps a candidate to understand how the influence of data science on securities markets is rapidly growing. Currently use of data science in securities markets has become profound. It has been reshaping the way trading, investing, risk management, and compliance are conducted. In an environment where milliseconds can make a difference, data science has given market participants the tools to make data-driven decisions, respond to market dynamics, and improve trading strategies. As technology continues to advance and data availability grows, the transformative power of data science in securities markets is likely to become even more pronounced, shaping the future of finance in unprecedented ways.
Advance :
* Tools Used – R, Python, Power BI, Sublime, Hadoop, HIVE, PIG & Tableau
Two Day Campus Immersion Program at Patalganga Campus where students will:
The performance of participants is assessed on continuous evaluation. Evaluation is through quizzes, submissions, projects, etc., as may be indicated by the faculty members. At the end of the Advance Level of the programme, participants will be awarded with grades and certificate of completion of Advance Level.
During the advance level of the program the students can attend two-day workshop/training physically in NISM, Patalganaga Campus.
The programme will be delivered in Online Mode. Academic Calendar will be provided at the commencement of the Programme. Class timings would be as follows:
| Day | Timings | Teaching Hours | Break Time |
|---|---|---|---|
| Tuesday | 07: 00 PM to 09:15 PM | 2 Hours | 15 Minutes |
| Thursday | 07: 00 PM to 09:15 PM | 2 Hours | 15 Minutes |
| Saturday | 06:00 PM to 09:15 PM | 3 Hours | 15 Minutes |
| Sunday | 10:00 AM to 01:15 PM | 3 Hours | 15 Minutes |
Interested applicants who fulfil the below-mentioned eligibility criteria are required to register for the CPDS Advance 2026–27 (Batch IV) via the registration link https://apply.nism.ac.in/cpds-advanced-application form. Applicants for admission to the programme will be shortlisted on the basis of their scores in ANY of the following entrance examinations
| Educational Qualifications | Valid Common Entrance Test Score |
|---|---|
| Eligibility Criteria: Candidate must satisfy the following criteria to apply for the programme:
Note: Candidates who are likely to complete Graduation |
The candidates are required to qualify NISM Aptitude Test (NISM AT 2026) exam conducted by NISM. |
Only selected candidates will receive a provisional offer letter for admission from apu@nism.ac.in on their registered email ID shortly after the declaration of the merit list. A candidate receiving an admission offer from NISM and accepting the offer within the stipulated date needs to deposit Rs. 1,04,750/- as the OAA i.e. Offer Acceptance Amount (or as mentioned in the Offer Letter).
| Fee Structure of CPDS Advance 2026-2027 (Batch IV) | |
|---|---|
| Particulars | Total Fee for Academic Year 2026-27 |
| Tuition fee | 82,627 |
| GST @18% | 14,873 |
| Alumni fund | 2000 |
| Accommodation Fee (During Campus Immersion) | 2,600 |
| GST @5% | 130 |
| Dining Fee (During Campus Immersion) | 2400 |
| GST @5% | 120 |
| Total Fee | 1,04,750 |
| Due Date | Within Ten Days of Receiving Provisional Admission Offer Letter |
Note:
(i) Entire Fee including the application fee is Non-Refundable.
Note:
| Online Applications Open | December 20, 2025 (1730 Hrs |
| Last Date for Submission of Online Application | March 25, 2026 (2359 Hrs) |
| NISM Aptitude Test 2026 | March 29, 2026 |
| Announcement of First Selection List | April 01, 2026 (1730 Hrs) |
| Announcement of Second Selection List | April 10, 2026 (1730 Hrs) |
| Academic Session Begins | April 25, 2026 |
A1. Data has become an integral part of decision-making in the modern age. In order to effectively leverage the power of data, professionals need to have expertise in various data processing techniques and tools. The Certificate Programme in Data Science (Securities Markets) is a one-of-a- kind program that equips students with the necessary skills to apply data analytics in the financial markets. Whether it’s for product engineering, investment decisions, research, advisory, or any other area, our program provides a comprehensive understanding of how to use data to make informed decisions. Our data science program is designed for individuals who have a passion for data analytics and a drive to implement it in the financial markets. The program offers a unique opportunity to study in an environment that is both deeply academic and inspiringly professional, yet refreshingly friendly. With a focus on practical applications and real-world scenarios, students gain hands-on experience using the latest tools and techniques to analyse financial data. Whether you are looking to advance your career or start a new one, our program will provide you with the skills and knowledge necessary to succeed in the exciting field of data science in financial markets.
A2. Certificate Programme in Data Science (Securities Markets) is online live course divided into two parts, Foundation (Level 1) and Advance (Level 2).
The programme will take place in Online Mode. The class timings would be as follows:
| Day | Timings | Teaching Hours | Break Time |
|---|---|---|---|
| Tuesday | 07:00 PM to 09:15 PM | 2 Hours | 15 Mins |
| Thursday | 07:00 PM to 09:15 PM | 2 Hours | 15 Mins |
| Saturday | 06:00 PM to 09:15 PM | 3 Hours | 15 Mins |
| Sunday | 10:00 AM to 01:15 PM | 3 Hours | 15 Mins |
A3. Yes, you can enrol for any one or both level of the program subject to the eligibility of admission.
A4. The Programme offers a robust mix of financial markets and application of technology, which would help to improve quality of decision making in financial markets. The topics covered in the programme include Machine Learning Foundation, Introduction of AI, Machine Learning Practices and techniques, Introduction of Big Data, Fintech Concepts, Algorithmic Concepts, Financial Modelling, Time Series and Forecasting.
A5. The Programme provides exposure to Data Science and Analytics tools where the participants get hand-on experience on R, Tableau, Power BI, Google Analytics and Python etc. The lectures and hands on sessions will be delivered by eminent faculty and industry experts who provide the necessary practical exposure.
A6. This program could lead to the following job profiles, which involves the fusion of data science techniques and financial analytics:
A7.To apply for this programme, the minimum educational requirement is. Graduation with 50% marks from a recognized University/Institute OR Candidates who have successfully completed any program in the area of Data Science of a minimum six months duration with minimum 50% marks.
A8. The curriculum has been appropriately structured to provide a basic understanding of financial markets, institutions and products. This will create a level playing field amongst participants from diverse backgrounds. The programme will feature subjects on Financial Economics, Financial Products and Institutions, Financial Derivatives, etc. to give a fundamental understanding in these areas, over and above data science related subjects.
A9. No, there is no upper age limit to pursue this program.
A10.The selection of candidates will be based on a screening test. Upon successful completion of the basic level, students will be eligible to directly enroll in the advanced level. Students who opt to directly enroll in the advanced level (without completing the basic level) will need to undergo a separate screeningtest.
The screening test will cover the following syllabus:
The screening test will be conducted online and will last for 60 minutes, with 30 questions. There will
be no negative marking.
A11. The fee structure for CPDS-Advance 2026–27 (Batch IV) is appended below:
| Fee Structure of CPDS-Advance 2026-27 (Batch- IV) | |
| Particulars | Fee |
|---|---|
| Tuition Fee | 82,627 |
| GST @18% | 14,873 |
| Alumni Fund | 2,000 |
| Accommodation Fee (During Campus Immersion) | 2,600 |
| GST @5% | 130 |
| Dining Fee | 2,400 |
| GST @5% | 120 |
| Total Fee | 104,750 |
| Due Date | Within Ten days of Receiving Provisional Admission Offer Letter |
A12.Candidates willing to apply should first register themselves on https://apply.nism.ac.in/cpds
advanced-application-form
Step 1: New Registration: Upon successful registration, a User-ID and Password will be sent to registered email ID and mobile number of the candidate.
Step 2: Application process: Thereafter, candidates are required to log-in and complete the application process by paying application fee. After making the payment of application fee of Rs. 500/- the candidate may submit their application.
*Above charges are exclusive of Payment Gateway charges & Procession fee as applicable.
A13. The application fee for the CPDS (Advance) programme is Rs.500/-. Candidates may apply online through the link https://apply.nism.ac.in/cpds-advanced-application-form. Upon completion of the application form, the fee can be paid using Debit Card, Credit Card, or Net Banking. The entire application process, including payment of the application fee, is conducted online.
A14.The last date to apply for CPDS (Advance) is 25th March 2026
A15. CPDS (Advance) will commence from 25th April 2026.
A16. Distance learning is not available for this program. It is online instructor led program.
Contact Details:
For any further enquiries, please connect to the Admission Helpdesk NISM: +91- 826-800-2412
Professor, CCB (Academics)
Professor, CCB (Academics)
Associate Professor, CCB (Academics)
Assistant Professor, CCB (Academics)
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