The world of securities markets, encompassing stocks, bonds 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 analytical 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 to help the students and professionals to understand how the influence of data science on securities markets is rapidly growing. It has been reshaping the way trading, investing, risk management, and compliance are conducted. In an environment where nanoseconds can make a difference, data science has given market participants the necessary 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.
For Whom?This program is designed for students who want to advance their careers in data science in the securities markets domain. It is also ideal for the securities markets professionals who want to learn using data optimally to make their decisions more efficient, investor/consumer-centric and cost effective.
Certificate Program in Data Science (Advance) Advance Data Science is for professionals who want to understand the in-depth knowledge of Data Science in Securities Markets. Advance Course is more application based in the field of Financial Markets. The Advance levels comprise courses in Machine Learning, Deep Learning, Financial Econometrics and Introduction of Big Data etc.
Program Duration:Certificate Program in Data Science (Advance) is of 8 Months duration. (Online Live Session).
What do I learn?220 hrs plus learnings through online classes, tutorials, practice sessions and recorded videos at advanced level will be provided in the following areas:
1. Statistical Modelling
2. Machine Learning
3. Machine Learning Practices & Techniques
4. Deep Learning
5. Deep learning Models in Finance
6. Financial Econometrics
7. Time Series & Forecasting
8. Artificial Intelligence
9. Big Data
10. Fintech
11. Algorithmic Trading
12. Financial Modelling
13. Cyber Security
* Tools Used – Advance Excel, R, Python, Power BI & Tableau (student version)
220 hrs plus learnings through online classes, tutorials, practice sessions and recorded videos at advanced level will be provided in the following areas:
1. Statistical Modelling
2. Machine Learning
3. Machine Learning Practices & Techniques
4. Deep Learning
5. Deep learning Models in Finance
6. Financial Econometrics
7. Time Series & Forecasting
8. Artificial Intelligence
9. Big Data
10. Fintech
11. Algorithmic Trading
12. Financial Modelling
13. Cyber Security
* Tools Used – Advance Excel, R, Python, Power BI & Tableau (student version)
Programme Assessment and ScheduleThe 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.
ScheduleThe 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 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 |
• Graduation with 50% from any recognized board/University
Or
• Students completed any basic Level Program in Data Science from recognised Institute/ University of minimum 6 months are also eligible to apply for this program.
Selection CriteriaCandidates will be selected through the screening test conduced in online mode (remote proctored).
How to apply?Candidates willing to apply should register themselves on 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 the 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/- (transaction charges, gateway charges, portal charges etc. to be borne additionally by the candidate).
Programme FeeThe consolidated programme fee for Post Graduate Program in Data Science (Advance) is Rs. 99, 500/- (Ninety-nine thousand and five hundred only). The break-up of the fees is as follows:
| Particulars | Fee* |
|---|---|
| Tuition fee | 82,627 |
| GST @18% | 14,873 |
| Alumni fund | 2000 |
| Total fee | 99,500 |
| Due Date | Within 7 calendar days from issue of Offer Letter |
*Above Fee is inclusive of 2 days lodging and Boarding charges at NISM Patalganga Campus. All expenses incurred towards traveling will be borne by the individual student only. Attending two days training at Patalganga campus is optional for out stationed candidates.
Fee Refund PolicyEntire fee including the application fee is non-refundable in any circumstances.
| Start Date of Application | January 07, 2025 |
| Last Date of Application | March 31, 2025 |
| Date of Entrance Test (Online mode) | April 05, 2025 |
| Declaration of Merit List | April 08, 2025 |
| Commencement of Program | April 26, 2025 |
Call Us : +91-8080806476 
Timings : Mon – Fri 9:30 am till 5:30 pm (Helpdesk will remain closed on public holidays).
Email : certification@nism.ac.in © 2025 National Institute of Securities Markets (NISM). All rights reserved.
