
Batch 7
Please note that the programme duration includes a break week for Christmas from 24th Dec 2024 to 1st Jan 2025.
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The global financial analytics market is booming. Valued at USD 8.78 billion in 2023, the market is expected to reach USD 23.04 billion by 2032. Financial analytics empowers companies and professionals to understand consumer demand, stakeholder challenges, and business roadblocks in nearly real time, helping them devise effective strategies. XLRI Jamshedpur’s 10-month Executive Development Programme in Financial Analytics is designed to enable finance professionals, data analysts, and aspiring financial specialists to harness the power of R and Python for advanced financial analysis.
10-month live online learning
3-day on-campus immersion
21 engaging modules for an immersive learning experience
Industry-relevant capstone project for practical learning
XLRI Certificate of Completion
XLRI Executive Education Alumni Status
Networking and peer-to-peer learning
Learning via real-world business applications & industry case studies
Note: Single-occupancy accommodation will be available for participants at the XLRI Jamshedpur campus.
This comprehensive programme is designed for individuals committed to mastering the highly sought-after skills in financial analytics. Join this programme if you are:
A finance professional aspiring to enter the field of financial analytics
A practitioner who deals with voluminous and complex financial information
An analyst who needs to deploy tools to aid in the financial decision-making process
The capstone project is a culmination of the Financial Analytics course, designed to enable participants to apply advanced analytical frameworks and state-of-the-art tools to real-world financial scenarios. Leveraging the comprehensive skill set developed throughout the course, learners will use data-driven financial analysis to uncover key insights to drive strategic business decisions. The project emphasizes the practical integration of financial analytics concepts with hands-on experience. It enables participants to transform complex financial data into actionable intelligence and position themselves as a strategic asset in their organizations' financial decision-making processes.
The course is designed to include lectures by XLRI faculty and will be taught through presentations, exercises, and general discussions. As an applied course, most sessions will be conducted as workshops to provide both theoretical and practical knowledge. The programme will include:
Decision Trees and other ML tools for Credit Scoring
Open AI / Generative AI Applications in Financial Analytics
Neural Network (NN) Models for Stock Price Prediction
Building a Trading Model and performing Back Testing
Value-at-Risk (VaR) Estimation
Back Testing of Portfolio Models (Modern Portfolio Theory)
Sentiment Analytics (text Analytics) using NLP or LLM
Valuation Analytics
ML model to analyse and identify financial fraud
Note: The activities may change as per XLRI’s discretion.
The programme provides in-depth theoretical and practical knowledge of global financial analytics practices. By the end of the programme, participants will be able to:
Master financial data analysis using R and Python for accurate and insightful financial forecasting.
Develop predictive models to enhance decision-making and investment strategies.
Execute fraud detection and prevention using advanced machine learning techniques.
Perform comprehensive sentiment and technical analysis to gauge market trends.
Optimise investment portfolios by applying deep learning and quantitative analysis.
Integrate financial data with external sources for robust, data-driven business insights

A minimum of 70% attendance to the live lectures is a prerequisite for the successful completion of this programme. In addition, there will be two quizzes and one assignment. The evaluations are designed to ensure continuous student engagement with the course and encourage learning. Participants who successfully complete the evaluations along with the requisite attendance criteria, a course-end assessment and project work will be awarded a certificate of completion by XLRI. Participants who are unable to clear the evaluation criteria but have the requisite attendance will be awarded a participation certificate by XLRI.
Note: All certificate images are for illustrative purposes only and may be subject to change at the discretion of XLRI.
Upon completion of the programme, participants will receive the prestigious XLRI Executive Education Alumni Status. The benefits include:
Receipt of all XLRI programme brochures and newsletters along with details of souvenirs available with MDP Office
Lifelong access to a network of distinguished XLRI Executive Alumni
Access to the XLRI Campus Library (on-site access)
10% discount in fee for any additional programme (Open programme, Online) at XLRI
10% group discount on the fee for reference of participants (minimum group of five)
Note: The Executive Alumni benefits are subject to the discretion of XLRI.

Assistant Professor, Information Technology and Systems
Prof. Pitabas Mohanty is a Fellow of the Indian Institute of Management, Bangalore. A Gold Medallist in MA (Applied Economics), he is a Chartered Financial Analyst (ICFAI) and...

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15 Recorded sessions and resources in the following categories:
(Please note: These sessions are not live):
Resume & Cover Letter
Navigating Job Search
Interview Preparation
LinkedIn Profile Optimisation
Please Note -
XLRI or Emeritus do NOT promise or guarantee a job or progression in your current job. Career Services is only offered as a service that empowers you to manage your career proactively. The Career Services mentioned here are offered by Emeritus. XLRI is NOT involved in any way and makes no commitments regarding the Career Services mentioned here.
More than 300,000 professionals globally, across 200 countries, have chosen to advance their skills with Emeritus and its educational learning partners. In fact, 90 percent of the respondents of a recent survey across all our programs said that their learning outcomes were met or exceeded. All the contents of the course would be made available to students at the commencement of the course. However, to ensure the program delivers the desired learning outcomes, the students may appoint Emeritus to manage the delivery of the program in a cohort-based manner during the course period the cost of which is already included in the overall Course fee of the course.
A dedicated program support team is available 7 days a week to answer questions about the learning platform, technical issues, or anything else that may affect your learning experience.
Email: info@emeritus.org
WhatsApp: +65 3138 2485
Financial analysis is the process of analyzing financial statements, data, and trends to assess an organization's financial health and performance. It helps in evaluating profitability, liquidity, solvency, and investment potential, providing insights that support effective decision-making infinancial data analysis.
The XLRI Executive Development Programme in Financial Analytics is designed for graduates or diploma holders with a minimum of 2 years of work experience. This financial analyst course is ideal for professionals looking to upskill in financial data analysis to advance their careers in the finance sector.
This financial analyst course is suited for mid to senior-level professionals in finance, accounting, and related fields who wish to enhance their financial data analysis skills. It is also ideal for professionals like financial analysts, accountants, business analysts, and investment managers aiming to gain expertise in financial analytics and data-driven decision-making.
The curriculum includes key topics such as data visualization, financial statement analysis tools, predictive analytics, machine learning techniques, time series analysis, risk analytics, and financial modeling. It combines theoretical concepts with hands-on practice using real-world case studies, equipping participants with the skills required to analyze and interpret financial data effectively.
This XLRI Executive Development Programme in Financial Analytics features live online sessions conducted by experienced faculty members. These interactive sessions facilitate real-time engagement and discussion, allowing participants to directly interact with the instructors and peers for a richer learning experience in financial analytics.
The total programme fee is INR 1,64,000 plus GST. This fee covers access to course materials, live sessions, and certification from XLRI, making it a valuable financial analyst course.
Yes, the XLRI course offers flexible payment options, including the option to pay in installments. This ensures that professionals can invest in their education without financial strain, making this finance and analytics program more accessible to a wider range of learners.
The XLRI Executive Development Programme in Financial Analytics stands out due to its blend of comprehensive curriculum, expert faculty, and practical learning approach. It focuses on real-world applications of financial analytics, equipping participants with the skills to address the evolving needs of the financial sector. The program's emphasis on financial statement analysis tools and advanced analytical techniques makes it an ideal choice for professionals seeking a competitive edge in the field.
Financial analytics, as taught in this program, involves the use of data analysis techniques to evaluate financial data and make informed business decisions. It includes analyzing trends, forecasting, risk management, and performance assessment to support strategic planning and investment decisions. This approach enables participants to drive data-driven insights for better financial outcomes.
Financial analytics refers to the process of evaluating financial data to gain insights into an organization's financial performance. It involves using financial statement analysis tools and techniques to understand financial trends, assess risks, and support strategic decision-making in areas such as investment, budgeting, and risk management.
Financial analysis is analyzing financial statements, data, and trends to assess an organization's financial health and performance. It helps evaluate profitability, liquidity, solvency, and investment potential, providing insights that support effective decision-making in financial data analysis.
Flexible payment options available.
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