About Certificate Program in Data Science (Advance)- CPDS Advance

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 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 programme in Data Science is meant for professionals who want to understand in-depth knowledge of Data Science in financial/securities market. This Course is application- based.

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)

Programme Schedule

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


Program Assessment

The performance of participants is assessed through continuous evaluation. Evaluation is through quizzes, submissions, projects, etc., as may be indicated by the faculty members.

Participants who meet the following criteria will be awarded grades and a certificate of completion at the end of the program:

a)Attendance of more than 75%.

b)Candidate is considered as “Passed”, if he/she has earned any of these grades: ‘O, A+, A, B+, B, C, P and above 50% marks in each course).

During the advance level of the program the students may attend two-day workshop/training physically in NISM, Patalganaga Campus.



To apply for this programme, the minimum educational requirement is:
• Graduation in any stream from a recognized University/Institute.
• Candidates who have successfully completed any program in the area of Data Science of minimum six months duration with minimum 50% marks.

Important Dates

Particulars Date
Start Date for Application 18 December 2023
Last Date for Application 10 February 2024
Date of Entrance Test (Online mode) 10 February 2024
Declaration of Merit List 18 February 2024
Commencement of Program 16 March 2024

Admission related FAQs


  • Dr. Kirti Arekar

    Professor - Centre for Capacity Building
  • Dr. Dhiraj Jain

    Professor - Centre for Capacity Building
  • Dr. Kapil Shrimal

    Associate Professor – Centre for Capacity Building-1
  • Dr. Mohd Meraj Inamdar

    Assistant Professor -Centre for Capacity Building-2
  • Mr. Suneel Sarswat

    Adjunct Faculty

Download CPDS 2023-24 Prospectus

Contact Us

Helpdesk: +91-8268002412


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