XLRI launches Executive Development Programme in Financial Analytics

Scheduled to begin on December 15, 2024, the Executive Development Programme in Financial Analytics is targeted at graduate or diploma holders with a minimum of two years of work experience in relevant fields. The fee for the programme is INR 1,64,000 + GST.

The Xavier School of Management (XLRI), Jamshedpur, has announced the launch of its latest educational offering – the Executive Development Programme in Financial Analytics. Developed in collaboration with Emeritus, this programme is designed to provide finance professionals with the advanced analytical tools and techniques necessary to navigate the evolving financial landscape.

Programme Overview

Scheduled to begin on December 15, 2024, the programme is targeted at graduate or diploma holders with a minimum of two years of work experience in relevant fields. The fee for the programme is INR 1,64,000 + GST. This 10-month high-impact course aims to empower finance professionals by providing them with the ability to understand and address real-time business challenges, consumer demand, and stakeholder dynamics through data-driven insights.

According to the official statement from XLRI, the programme is designed for a wide range of professionals, including finance professionals, analysts, and data practitioners. It seeks to enhance their decision-making abilities by equipping them with cutting-edge tools and methodologies in financial analytics.

Tailored for Finance Professionals

The Executive Development Programme in Financial Analytics is crafted to meet the needs of professionals seeking to elevate their expertise in the rapidly expanding field of financial data analysis. The curriculum is specifically tailored to practitioners who handle complex financial data and analysts who aim to improve their decision-making processes with advanced tools and techniques.

This programme is ideal for professionals looking to develop a deep understanding of financial analytics in the context of machine learning, blockchain, and cryptocurrency, which are transforming the way the finance industry operates.

Key Features of the Programme

The programme has been carefully designed by XLRI faculty and features live online sessions conducted by leading experts from XLRI. It includes a range of engaging and immersive learning modules, real-world case studies, opportunities for peer-to-peer learning and networking, and a Capstone project that allows participants to apply their newfound knowledge in real-world scenarios.

Some of the key modules covered in the programme include:

• Introduction to the Course
• Installing Financial Analytics Software
• Introduction to R
• Introduction to Python
• Understanding Machine Learning
• Introduction to Blockchain and Cryptocurrencies

Certification and Alumni Status

Upon successful completion of the programme, participants who maintain a minimum attendance of 70 percent will be awarded a Certificate of Completion from XLRI. In addition, they will be eligible to receive XLRI Executive Education Alumni Status, which provides access to a valuable network of industry professionals and experts.

Skill Development and Practical Application

Participants will gain hands-on experience and expertise in financial data analysis using both R and Python, two of the most widely used programming languages in the field. They will learn to apply machine learning techniques for fraud detection, optimize investment portfolios, and perform sentiment and technical analysis to guide financial decision-making. The skills gained through this programme will enable participants to tackle the real-world challenges faced by today’s financial professionals.

The Executive Development Programme in Financial Analytics at XLRI is an excellent opportunity for finance professionals to upskill and stay ahead of the curve in an industry increasingly driven by data and technology. By combining cutting-edge analytics tools with real-world application, XLRI continues to be at the forefront of financial education, empowering professionals to make smarter, data-driven decisions in a rapidly changing financial world.

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