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Workshop :: Application of Machine Learning in Financial Economics
Course type: Offline workshop
Date and Time: 16th – 18th September, 2025 (tentatively).
Duration: 18 Hours (including theory and practical sessions)
Schedule of the Classes: 10am – 5pm
Course Fees: Rs. 2000/- (inclusive of GST @ 18%) through SBI Collect portal. The fee is non-
refundable.
Mode of Course: Offline
Registration window: 15/08/2025 to 10/09/2025 (Midnight)
Eligibility: Undergraduate and postgraduate students, researchers and people from industry interested in learning techniques of investment and risk management in financial market may apply. Participants should have elementary idea about the functioning of financial market, knowledge in basic theories of statistics and knowledge in computer operation
Workshop Coordinator: Name: GAGARI CHAKRABARTI
Email id: gagari.econ@presiuniv.ac.in
Course Objective:
Machine learning is a branch of artificial intelligence (AI) that focuses on enabling computers to learn from data and improve their performance on tasks without being explicitly programmed for each specific task. The world is seeing its application in almost all the arenas of industry and academia. Financial Economics which deals with the perfect blend of both industry-academia interface cannot stay far behind in this. Machine learning (ML) in financial economics is important because it offers advanced tools to model, analyse, and predict complex financial behaviours and market dynamics that traditional methods often struggle to capture. Its use can be extensive in the fields of Improved Prediction Accuracy, Big Data Utilization, Risk Management and Fraud Detection, Algorithmic and High-Frequency Trading, Behavioural Insights and Market Sentiment, Personalized Financial Services and the list goes on. It is due to this the application of Machine Learning in Financial Economics has become the need of the hour. Presidency University, through a workshop, conducted exclusively to learn the techniques of Machine Learning in Financial Economics, will try to understand the mechanism of various tools used in this field of study.
General Note
- Kindly fill the form with the correct information by 10.09.2025 midnight, IST.
- Once the form is submitted you are not subjected to any further change.
- The selection is done on a first come and first serve basis, availability of resources, and submission of valid applications.
- Selected participants will subsequently be informed about the payment method via their respective email id along with their Application Number. On successful submission of Course fees, participants will be notified about their Enrolment Number and commencement details of the workshop.
- Your fees will not be refunded once enrolled.
The application link is below:
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