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 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)
Programme Assessment and Schedule
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.
Schedule
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 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 |
Eligibility
• 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 Criteria
Candidates 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 Fee
The 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 Policy
Entire fee including the application fee is non-refundable in any circumstances.
Important Dates
| Start Date of Application | January 01, 2025 |
| Last Date of Application | February 14, 2025 |
| Date of Entrance Test (Online mode) | February 23, 2025 |
| Declaration of Merit List | February 25, 2025 |
| Commencement of Program | March 01, 2025 |
Admission related FAQs
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Dr. Kirti Arekar
Professor - Centre for Capacity Building
Dr. Kirti Arekar
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Name: Dr. Kirti Arekar Designation: Professor - Centre for Capacity Building Email: kirti.arekar@nism.ac.in Contact: 02192-668369 Dr. Kirti Arekar is currently working with National Institute of Securities Markets as a Professor. She has been in teaching, research, training and consulting in Data and Statistical Analysis since 2000. Dr. Kirti worked with K.J. Somaiya Institute of Management, Welingkar Institute of Management (WeSchool) and Narsee Monjee Institute of Management Mumbai. She has been visiting faculty with SP Jain Global Institute of Management, Singapore and Manipal University, Dubai. She has conducted several training programs for corporates like BSE, NSE, BCCI, INS HAMLA, Lumiere, Mahindra & Mahindra and L&T etc. based on Decision Making, Statistics and Data Analysis etc. by using several Software’s i.e. SPSS, EXCEL, EXCEL Solver, MegaStat, Minitab, SAS, R, Python, SAS and QM3+ etc. She has 275 Research publications in International and National Journals. She has presented several Research Papers in many Universities like Harvard University, Manchester, University of Emirates, University of Wellington and Hull University etc.
She has done PhD. in Statistics in 2002 and Integrated Program in Business Analytics from IIM Indore. She has received an award for Best Research paper at Inter 3RD International conference on global independence and decision science, Administrative Staff College of India, Hyderabad, 2008; Best paper awarded by Global Economy and Finance Journal, Canada, 2013 & University of Boston, USA in 2012. Under her guidance two students was awarded Ph.D. degree.
Dr Kirti Arekar has been featured as the 'Notable Women Personalities of India 2024' on www.businesstalkz.com.
She was awarded as the Best Teacher Award for Excellence in Research & Teaching from Higher Education Forum in 2013; has been also awarded Fellowship from World Business Institute, Melbourne, Australia in 2013 and Best Researcher Award in Higher Education from K.J. Somaiya Institute of Management, Mumbai and Best Faculty Award in Teaching in Excellence from Bombay Management Association, BMA in 2019.
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Dr. Dhiraj Jain
Professor - Centre for Capacity Building
Dr. Dhiraj Jain
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Name: Dr. Dhiraj Jain Designation: Professor - Centre for Capacity Building Email: dhiraj.jain@nism.ac.in Dr. Dhiraj Jain is a Ph. D in Management and a Fellow of the Insurance Institute of India. He has a corporate experience of 10 years and an academic experience spanning nearly two decades. His areas of interest include Quantitative Techniques, Business Statistics, Investment & Portfolio Management, Mutual Funds & Financial Derivatives. He has been a Corporate trainer for Equity markets and Mutual Funds for various Financial Institutions, Mutual Funds and Broking Houses and others. He has taken various sessions on Statistics, Research Methodology, Security Analysis and Portfolio Management and Financial Derivatives for management professionals at Wipro, Infosys, Tata Motors, Citius Tech and the like. He is an avid researcher and has a number of research papers, case studies and publications to his credit. His book Marketing Techniques for Financial Inclusion and Development is also indexed in the Scopus database. He has presented papers in various National and International conferences and had also received the best paper award in many of them. He has been a Ph. D guide for the past 8 years. 5 students have completed their Ph. D under his guidance.
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Dr. Kapil Shrimal
Associate Professor – Centre for Capacity Building-1
Dr. Kapil Shrimal
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Name: Dr. Kapil Shrimal Designation: Associate Professor – Centre for Capacity Building-1 Email: kapil.shrimal@nism.ac.in Contact: +91-9978938182 / 02192- 668356 Dr. Kapil Shrimal is Associate Professor at National Institute of Securities Markets; he is having more than 13 years of experience of academics and 1-year experience of corporate. He has started his career with ICICI Prudential LIC and worked with Institutes like Prestige Institute of Management and Research, Indore, Symbiosis University of Applied Science Indore, Marwadi University Rajkot, etc. His last assignment was with PIMR, Indore.
His main area of teaching and research is Financial Planning, Portfolio Management, Derivatives, Financial Modelling, Financial Management, etc. He has conducted many Investment Awareness Program (IAP’s) on behalf of SEBI, NSE and ICAI India.
Dr. Shrimal has received Best Faculty award by Dainik Bhaskar in the year 2012. He has also received Best PhD Thesis award by Jaipuria Institute on Management Indore in the year 2018. He has presented and published research papers in International and National reputes and published one book. Some of his research papers got Best Research Paper awards in International Conferences.
He is into the editorial board and reviewer member of International Journal of Accounting and Financial Management Research. He is also associated with various Universities as a member of Board of Studies, Academic Council and PhD examiner.
Dr. Shrimal has done his PhD in Management (Finance) form Mohanlal Sukhadia University, Udaipur. He has also cleared UGC-NET and RPSC-SET in Management in the year 2012. Has done his MBA (Finance) and BBA from Devi Ahiliya University, Indore He has cleared many NISM certificates, NCFM modules and other certificate courses.
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Dr. Mohd Meraj Inamdar
Assistant Professor, CCB-2
Dr. Mohd Meraj Inamdar
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Name: Dr. Mohd Meraj Inamdar Designation: Assistant Professor, CCB-2 Email: Meraj.inamdar@nism.ac.in Contact: +91-2192-66738420 / +91 8275325356 Dr. Inamdar is a faculty member at NISM. Prior to NISM, he worked for Indian Institute of Capital Markets, Institute of Cost Accountants of India chapter’s and IIT-Bombay CSE.
He has 11 years of experience in teaching & research and two years of corporate experience.
Dr. Inamdar has several publications in indexed journals and has won two best research paper awards in international conferences. He has conducted a various programs for international delegates as well as training programs for SEBI, RBI, IRS, IES officers and market intermediaries.
At NISM, Dr. Inamdar teaches ESG finance, quantitative methods and data analyses, derivatives options trading strategies (through algo trading simulator) and technical analysis. He is a member of the organising committee of NISM conferences. He has completed M.com, MBA (Finance), CWA (Final), and PhD in the field of ESG finance from Mumbai University
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Mr. Suneel Sarswat
Adjunct Faculty
Mr. Suneel Sarswat
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Name: Mr. Suneel Sarswat Designation: Adjunct Faculty Suneel Sarswat is an adjunct faculty member at NISM. He specializes in advanced programming, data analytics, machine learning, deep learning, fraud detection, and computational finance.
With over 8 years of full-time teaching experience and additional roles as a visiting faculty member, Suneel has conducted numerous workshops for working professionals in computational finance and machine learning. He has trained officers from RBI, SEBI, exchanges, banks, and other financial institutions. Previously, he worked as a research analyst at Bank of America for over two years and served as a consultant for Decimal Point Analytics for more than 3 years.
His work has been presented at international conferences in theoretical computer science. Currently, his research focuses on applications of formal methods in regulations. In addition to academic research, he has contributed to various regulatory research projects involving fraud detection, machine learning, and data analysis.
• PhD in Computer Science, Tata Institute of Fundamental Research (TIFR), Mumbai Thesis: ‘A formal approach to exchange design and regulation’
• Postgraduate degree in Computer Science, Tata Institute of Fundamental Research (TIFR), Mumbai
• Master’s degree in Applied Statistics, Indian Institute of Technology (IIT), Mumbai
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