PROGRAMME OVERVIEW

In today's dynamic business landscape, the strategic significance of financial analytics in guiding decision-making has never been more crucial. Navigating through intricacies in a rapidly changing environment demands proficiency in harnessing and interpreting financial data—a competence now deemed indispensable. This imperative has led to the creation of the exclusive programme "Financial Analytics for Decision-Making," meticulously tailored to meet this pressing need. The programme aims to endow participants with a profound understanding of strategically applying analytics in the financial domain.

 Serving as a dynamic platform for executives, this initiative provides valuable insights into leveraging analytics to extract meaningful patterns, trends, and insights from financial data. In an era where data-driven decision-making is paramount, the programme is designed to equip participants with analytical skills for making informed choices that propel organizational success.

Through a carefully crafted curriculum, the programme delves into critical facets of financial analytics, covering predictive modeling, risk analysis, and performance evaluation. Participants will gain theoretical knowledge and develop practical proficiency in utilizing analytical tools and techniques. This hands-on approach empowers them to unravel complex financial scenarios, contributing strategically to their organizations. This training programme is aligned to the Karmayogi competency on Data Analytics, Policy Architecture, and Monitoring & Evaluation.

IMPACT

·         Develop expertise in utilizing regression models to predict and interpret financial outcomes.

·         Learn ARCH and GARCH models to quantify and manage financial volatility and associated risks.

·         Acquire skills in ARIMA and ARMA models for accurate time series analysis and forecasting.

·         Grasp co-integration concepts to understand and leverage long-term relationships in financial variables.

·         Assess causal relationships using Granger causality tests for informed decision-making.

·         In a capstone project, apply regression, time series modeling, and other statistical methods to solve complex financial challenges.

·         Develop skills to interpret and effectively communicate statistical insights to stakeholders.

COURSE CONTENT

 Day1
The programme begins with an overview of financial analytics, emphasizing its critical role in shaping informed decisions and establishing a strong conceptual foundation.

Day 2
Participants delve into regression analysis within financial analytics, engaging in hands-on exercises to predict outcomes and learn how to interpret and validate regression results.

Day 3
The focus shifts to volatility modeling as learners explore ARCH and GARCH models through case studies that examine risk analysis and volatility forecasting.

Day 4
This session features group exercises designed to assess and mitigate financial risks, highlighting the impact of effective risk management strategies on organizational performance.

Day 5
The final day covers time series analysis using ARIMA and ARMA models, introduces co-integration concepts and Granger causality tests, and culminates with a Capstone Project that integrates all key concepts for real-world application.

FACULTY AND METHODOLOGY

 Led by Dr. Mohammed Mujahed Ali with over 19 years of expertise, seamlessly blends academic rigor with practical insights. Holding a Ph.D. in Business Management along with an M. Phil, MBA, and M. Com, Dr. Ali is recognized as a Securities Market Trainer by SEBI and is serving as a resource person for NISM and NSE, delivered over 250 workshops and Training programmes. His engaging teaching approach integrates immersive classroom sessions, case-based discussions, and a hands-on approach. Moreover, the programme features renowned practitioners and industry experts who contribute real-world insights, while the dynamic, experiential pedagogy—including practical exercises and immersive learning—ensures a results-driven experience that empowers professionals to elevate their financial acumen and drive impactful decisions.

 PARTICIPANT PROFILE

"Financial Analytics for Decision-Making" welcomes professionals from diverse backgrounds, including Financial Analysts, Risk Management Professionals, individuals in Finance and Accounting, Data Analysts, and Business Consultants. Executives seeking to enhance their analytical skills for data-driven decision-making in the financial domain will find this programme highly relevant. The inclusive nature of the curriculum accommodates participants from various sectors, ensuring that individuals with different professional backgrounds can benefit from the programme's insights and practical proficiency in financial analytics.

 Organisational sponsorship is essential

VENUE

 The programme is fully residential and the participants will be accommodated in air conditioned single occupancy rooms. The college does not provide accommodation for the family. The college is Wi-Fi enabled in a comprehensive way.

 DURATION

 The programme duration is 5 days starting from June 23 - 27, 2025. The participants are expected to arrive a day before commencement and may leave after the conclusion of the programme.

 PROGRAMME FEE

Residential Fee: Rs. 69,500/- (US $ 1086 for foreigners) plus GST as applicable (presently 18%) per participant. The fee covers tuition, board and lodging, courseware (in electronic form) and other facilities of the College including internet usage.

 Non-Residential Fee: Rs. 59,500/- plus GST as applicable (presently 18%) per participant. The fee covers tuition, course ware (in electronic form) working lunch and other facilities of the College including internet usage. 

A discount of 10% on the Programme fee for three or more participants from the same organisation will be given, provided the payment is credited into our Bank account before June 20, 2025.

MEDICAL INSURANCE

The nominees are requested to carry with them the proof of Medical Insurance. The sponsoring agency is required to endorse the nominees' medical coverage in the event of hospitalization

LAST DATE FOR NOMINATION

Please use the prescribed/attached form. Last date for receiving nominations is June 09, 2025. Kindly contact Programmes Officer for further details (contact details are given at the end of the nomination form).

LAST DATE FOR WITHDRAWAL

June 16, 2025. Any withdrawals after this date will entail forfeiture of fee paid, if any.

 ASCI ALUMNI ASSOCIATION

Participants of the College programmes will automatically become members of the ASCI alumni association.

CERTIFICATE OF PARTICIPATION

The College issues a Certificate of Participation on conclusion of the programme.