Programme Architecture
The Post Graduate Certificate in Management (Data Science in Financial Markets) Programme comprises of five trimesters having 16 courses and project / internship carrying a total of 45 credits. The curriculum is designed to provide research-based inputs and industry insights through a team of academicians and market experts. The details of the same are as follows:
Subject Code | Trimester I | Hours | Credits |
101 | Mathematics | 30 | 3 |
102 | Statistics | 30 | 3 |
103 | Computer Programming | 30 | 3 |
Subject Code | Trimester II | Hours | Credits |
201 | Financial Economics | 15 | 1.5 |
202 | Financial Institutions & Products | 15 | 1.5 |
203 | Advanced Computer Programming | 30 | 3 |
204 | Econometric and Time Series Analysis | 30 | 3 |
Subject Code | Trimester III | Hours | Credits |
301 | Fixed Income | 15 | 1.5 |
302 | Financial Derivatives | 15 | 1.5 |
303 | Market Microstructure and Algorithmic Trading | 30 | 3 |
304 | Machine Learning and Deep Learning Models | 30 | 3 |
Subject Code | Trimester IV | Hours | Credits |
401 | Applications of Data Science in Securities Markets, Insurance Markets and Banking (Credit Risk) | 15 | 1.5 |
402 | Financial Data and Management | 15 | 1.5 |
403 | Security Analysis and Portfolio Management | 30 | 3 |
404 | Big Data Processing and Visualization | 30 | 3 |
Subject Code | Trimester V | Hours | Credits |
501 | Financial Analytics | 30 | 3 |
502 | Project/Internship | 6 | |
Total Programme Credits | 45 |
The performance of participants is assessed on continuous evaluation process in each trimester. Evaluation is through quizzes, surprise tests, mid-term tests, end-term examinations, class participation, presentations, submissions, projects, etc., as may be indicated by the faculty members in the course outline. At the end of the programme, participants shall be awarded with Grades, subject-wise as well as the CGPA. The PGCM (DSFM) Certification will be awarded to successful candidates at a convocation ceremony.
Programme Schedule
The programme will take place in class-room mode on weekends at NISM, Bandra Kurla Complex, Mumbai. The class timings would be as follows:
Day | Timings | Teaching Hours | Break Time |
Saturday | 6 pm to 9:15 pm | 3 hours | 15 Minutes |
Sunday | 10 am to 5 pm | 6 hours | Hour |
Note: The classes will initially be in online format (webinar-mode), till the COVID-19 pandemic situation improves. Hostel facility is available, at NISM Campus in Patalganga, for the benefit of participants from outside Mumbai.
Note: The Management reserves the right to change, amend programme structure as and when it deems fit.