- Director's Message
- About The Director
- Heritage
- Founding Fathers
- Brand XLRI
- Vision and Mission
- Board of Governors
- Leadership and Administration
- Industry Advisory Council
- Programs and Equivalence
- XLRI’s Position & Ranking
- Accreditation
- Social Initiatives
- Rural Immersion
- Social Engagement Activities
- Mandatory Disclosure
- Careers Opportunities
- Internal Committee
- Student Profile
- Batch Profile
- Our Recruiters
- Create Visibility for your Firm
- Placement Overview
- Career Transformation Series
- Placement Office Team - PGDM(GM)
- PGDM (GM) Student Committee
- Alumni Speak - PGDM (GM)
- Virtual Internship
- Professional Mentorship Programme
- Guest Lecture Series
- CXO Series
- XL Forum Series
- PGDM (GM) Annual Alumni Meet - Confluence
- Conclaves, Seminars & Panel Discussion
- FAQs
- Fr Arrupe Centre for Ecology and Sustainability
- Financial Market Centre
- Centre for Human Resource Development
- Centre for Logistics & SCM
- Centre for Peace and Justice
- XLRI JRD Tata Foundation in Business Ethics
- Centre for Gender Equality and Inclusive Leadership
- Center for Public Policy and Public Affairs
- XLRI Centre for Spirituality & Human Development
- Case Research & Simulation Development Centre
- Fr McGrath Skill Development Centre
- Centre for Learning and Teaching Innovations
- Centre for Entrepreneurship
- Centre of AI Research and Application (CARA)
- XCITE
- Centre for Experiential and Gamified Experiences (EDGE)
- Centre for Excellence in Coaching & Leadership (X-CEL)
4.3
Share this courseFinance
Executive Development Programme in Financial Analytics Batch-7
Nearly every industry is generating vast amount of data and nearly every business leader today understands the importance of making sense out of that data to drive business strategy. Companies need more from Finance than just accurate financial statement analysis. They need predictive insights which can improve their real time day to day decision making. Finance analytics enables to combine internal financial information with external information by using social media and big data to provide predictive insights.
- Start date
- 5th January, 2025
- Duration
- 10 months · 120 hrs
₹ INR 167,000 + Tax
Duration
10 Months(120Hrs)
Category
Finance
Last Date to Apply
21st December, 2024
Program Directors
Medium of Instruction
English
Session Timing- Sunday 3.30 pm to 6.30 pm
Eligibility
- For Indian Participants - Graduates (10+2+3) or Diploma Holders (only 10+2+3) from a recognized university (UGC/AICTE/DEC/AIU/State Government) in any discipline.
- For International Participants - Graduation or equivalent degree from any recognized University or Institution in their respective country.
- Working professionals with a minimum of 2 years of work experience.
Course Details
Nearly every industry is generating vast amount of data and nearly every business leader today understands the importance of making sense out of that data to drive business strategy. Companies need more from Finance than just accurate financial statement analysis. They need predictive insights which can improve their real time day to day decision making. Finance analytics enables to combine internal financial information with external information by using social media and big data to provide predictive insights. Whether it is with respect to stock market prediction or customer profitability, finance analytics enables to provide a direction in predicting all. This course blends easy to use statistical tools with complex machine learning tools and algorithms to equip the participants the requisite skill sets in analyzing data. By the end of this course, the participants should be able to perform the required financial analysis using powerful tools like R and Python.
Course Content
| Module No. | Module Topics |
| 1 | Introduction to the Course, Installing the software |
| 2 | Introduction to R |
| 3 | Introduction to Python |
| 4 | Introduction to Finance |
| 5 | Accounting Data Analysis |
| 6 | Understanding data in finance, sources of data, cleaning and pre-processing data |
| 7 | Understanding Machine Learning |
| 8 | Building Models Using Accounting Data |
| 9 | Fraud Analytics |
| 10 | News Analytics and Sentiment Analysis |
| 11 | Valuation Analytics |
| 12 | Time Series Analysis in R/Python |
| 13 | Understanding stock price behaviour |
| 14 | Introduction to Technical Analysis |
| 15 | Back-testing Trading Models |
| 16 | Valuation of Options |
| 17 | Portfolio Analytics |
| 18 | Building stock price forecasting models using Machine Learning and Deep learning |
| 19 | Introduction to Fintech |
| 20 | Introduction to Blockchain and Cryptocurrencies |
| 21 | Case Studies of some successful Fintech companies |
| Capstone Project Work | |
Indicative hands-on activities during live sessions
| 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 |
Who Should Attend
- Finance professionals aspiring to enter into the field of application of analytics tools in Finance
- Practitioners whose role requires dealing with voluminous and complex financial information
- Analysts who need to deploy tools to aid in the financial decision-making process
Eligibility
- For Indian Participants - Graduates (10+2+3) or Diploma Holders (only 10+2+3) from a recognized university (UGC/AICTE/DEC/AIU/State Government) in any discipline. ·
- For International Participants - Graduation or equivalent degree from any recognized University or Institution in their respective country.
- Working professionals with a minimum of 2 years of work experience as on the Programme start date i.e., Technical Orientation date
Course Pedagogy
The primary method of instruction will be through LIVE lectures that will be beamed online via Internet to student desktops/laptops or classrooms. The pedagogy will comprise lectures by XLRI faculty and will be taught with the help of presentations, exercises and general discussions. Being an applied course, most of the sessions will be conducted as a workshop. By the end of the program, the participants will be better able to use Python and R to build advanced financial models and perform exploratory and predictive analysis in Finance.
Assessment
- XLRI shall set the papers for examinations and evaluation shall be done by XLRI at its own cost. The faculty members teaching their respective courses will choose the method of evaluation most appropriate to the material.
- A minimum of 70% attendance to the LIVE lectures is a prerequisite for the successful completion of this program.
- There are periodic evaluations built in throughout the duration of the course. These maybe in the form of a quiz, assignment, project or other objective/subjective assessments. The evaluations are designed ensure continuous student engagement with the course and encourage learning.
- Participants who successfully complete the same along with the requisite attendance criteria, an end course 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.
Certification
Certificate of Completion for participants successfully passing the evaluation criteria. Certification of participation for the rest.
Campus Component
The program has 3 days of Campus Component wherein the participants need to visit the XLRI Jamshedpur for 3 days of in-class sessions. The campus component is a mandatory part of the program. Other details regarding the campus component will be shared post Program commencement.
Payment and Installment Schedule
Installments | For Indian Participants | For International Participants |
Application Fee | Rs. 3000 + GST | |
At the time of Enrollment | ||
Installment I | Rs. 15,000 + GST | |
Within 7 days of post-selection | ||
Installment II | INR 42,400 + GST | |
On or Before: 17 Dec 2024 | ||
Installment III | INR 57,400 + GST | |
On or Before: 17 March 2025 | ||
Installment IV | INR 49,200 + GST | |
On or Before 15 June 2025 |
Programme Fee
PAYMENT AND INSTALLMENT SCHEDULE
| Installments | For Indian Participants | |
| Application Fee | Rs. 3000 + GST | |
| At the time of Enrollment | ||
| Installment I | Rs. 16,400 + GST | |
| Within 7 days of post-selection | ||
| Installment II | INR 41,000 + GST | |
| On or Before: 17 Dec 2024 | ||
| Installment III | INR 57,400 + GST | |
| On or Before: 17 March 2025 | ||
| Installment IV | INR 49,200 + GST | |
| On or Before 15 June 2025 |
How to Register
To register for the Short Term Course, Executive Development Programme in Financial Analytics (Batch 7) of XLRI, Jamshedpur;
- Online Application - Candidates are expected to submit Online Application Forms along with the application Fees of Rs. 3000 + GST (for Indian Participants).
- Registration - Candidates are requested to register by clicking on the Register button.
- Payment - Online applicants may use their "Log in ID" and "Password" to make their payment online.
- For the Credit Card Payment , the bank charges will be borne by the participants
- Certificate will be awarded based on the financial clearance
- Last date to apply - The last date for the payment of online application fees is at the time of Registration.
- Information details - Any application with incomplete information (eg: without photograph, educational details and details related to your work experience etc.) will not be accepted. Hence your application will stand cancelled.
- Eligibility
- For Indian Participants - Graduates (10+2+3) or Diploma Holders (only 10+2+3) from a recognized university (UGC/AICTE/DEC/AIU/State Government) in any discipline.
- For International Participants - Graduation or equivalent degree from any recognized University or Institution in their respective country.
- Working professionals with a minimum of 2 years of work experience.
- Enquiry - Queries related to the course may be addressed to:
- VIL Office:
- 0657-665-3275 / 3274 [email protected]
Connect to our Program Advisors-
Name:- Asankhya Mohan
Email ID:- [email protected]
Phone number:- +917208834664
* Kindly keep the Registration ID & Password safely with you for any further correspondence with this regard.
*XLRI reserves the rights to cancel the candidature of any candidate at any point during the Programme for any misconduct or misleading information.
Life at Our Campus
Programmes at XLRI combine live online learning with time on the Jamshedpur campus, a green, historic setting where participants meet faculty and peers in person, join campus sessions and build a lasting professional network.
