St. Francis College for Women

Overview of the Course

M.Com Finance and Analytics

M.Com Finance and analytics courses train students to use statistical methods and data analysis to solve complex financial problems. These programs are designed for both aspiring financial professionals and experienced practitioners who want to develop modern, data-driven decision-making skills. A curriculum for a finance and analytics program typically includes a blend of fundamental finance and technical data skills. Learning to use data to make strategic financial decisions for companies, including budgeting, capital allocation, and cash flow management. Understanding financial markets, investment vehicles, and methods for constructing and optimizing investment portfolios.

What will you Learn?

Intellectually sophisticated framework for application, analysis and decision-making: It offers students a rigorous and intellectually sophisticated framework for application, analysis and decision-making in finance as well as comprehensive understanding of the principles and practice of business analytics.

Multi-Dimensional Learning model: Helps in developing technical, critical thinking, and problem-solving skills in finance and analytics.

Intellectual Growth and Professional Networking: The programme closely reflects the real-world finance and investment environment, and focuses on the applied skills that modern employers are looking for. It is designed for students whose career ambitions are based on achieving middle-level and top-level finance positions with national and international finance and financial services companies.

Experiential Learning and Community Impact: It combines practical experience in finance and analytics with social impact initiatives, fostering holistic development.

Research: Research driven culture ecosystem stemming from a strong conceptual foundation and real world exposure creates a well groomed environment.

Career Prospects

M.Com Finance and Analytics course opens diverse career prospects, including roles as a Financial Analyst, Data Analyst, Risk Analyst, and Portfolio Manager in sectors like banking, Fintech, insurance, and investment firms. The combination of finance and data skills is highly sought after for roles in financial strategy, risk management, and investment analysis, with growing demand in emerging areas like sustainable finance and Fintech.
Data Analyst (Finance Domain) – Extract insights from large datasets, build financial reports, and use tools like SQL, Python, and Power BI to optimize financial strategies.
Risk Analyst – Identify, assess, and manage financial risks while ensuring compliance with regulations.
Portfolio Manager – Manage investment portfolios for individuals or institutions, making informed decisions based on market analysis and financial developments.
Fintech Analyst – Bridge the finance and technology sectors, focusing on new financial instruments and digital platforms.
Entrepreneurship and Startups – The skills acquired in cost-benefit analysis, market research, and resource allocation are key in launching and sustaining new ventures/Start-ups.

Program Structure

Semester I ▼

Course Type	Course Title	Course Code	Hours/Week (L)	Hours/Week (P)	Credits	Max Marks (CIA)	Max Marks (SEM END)	Total Marks	Duration of Sem End Exam (hrs)
DSC-1	Financial Management	P24/COM/DSC/101	5	-	5	40	60	100	2 hrs 30 minutes
DSC-2	Managerial Economics	P24/COM/DSC/102	5	-	5	40	60	100	2 hrs 30 minutes
DSC-3	Introduction of Business Analytics	P24/COM/DSC/103/P	3	4	5	40	60	100	2 hrs 30 minutes
DSC-4	Marketing Management	P24/COM/DSC/104	5	-	5	40	60	100	2 hrs 30 minutes
OE	Foundation for BA(Statistics)(NCGPA)	P24/COM/OE/101	2	--	2	20	30	50	1 hr

Semester II ▼

Course Type	Course Title	Course Code	Hours/Week (L)	Hours/Week (P)	Credits	Max Marks (CIA)	Max Marks (SEM END)	Total Marks	Duration of Sem End Exam (hrs)
DSC-5	Financial Markets & Services	P24/COM/DSC/201	5	--	5	40	60	100	2 hrs 30 minutes
DSC-6	Basics of Excel and R Software	P24/COM/DSC/202/P	3	4	5	40	60	100	2 hrs 30 minutes
DSC-7	Marketing Analytics	P24/COM/DSC/203	4	2	5	40	60	100	2 hrs 30 minutes
DSC-8	Organizational Behaviour & Human Resource Management	P24/COM/DSC/204	5	-	5	40	60	100	2 hrs 30 minutes
FC	Outreach (NCGPA)	P24/COM/FC/201	2	--	2	20	30	50	1 hr

Semester III ▼

Course Type	Course Title	Course Code	Hours/Week (L)	Hours/Week (P)	Credits	Max Marks (CIA)	Max Marks (SEM END)	Total Marks	Duration of Sem End Exam (hrs)
DSC-9	HR Analytics	P24/COM/DSC/301	4	2	5	40	60	100	2 hrs 30 minutes
DSC-10	Business Research Methods	P24/COM/DSC/302	4	2	5	40	60	100	2 hrs 30 minutes
DSE-1	Investment Management	P24/COM/DSE/301	5	-	5	40	60	100	2 hrs 30 minutes
DSE-2	SAPM	P24/COM/DSE/302	5	-	5	40	60	100	2 hrs 30 minutes
INT	Summer internship*	P24/COM/INT/301	-	-	5	40	60	100	-
GE	Python Lab (NCGPA)	P24/COM/GE/301	-	4	2	20	30	50	1 hr

Semester IV ▼

Course Type	Course Title	Course Code	Hours/Week (L)	Hours/Week (P)	Credits	Max Marks (CIA)	Max Marks (SEM END)	Total Marks	Duration of Sem End Exam (hrs)
DSC-11	Wealth Management	P24/COM/DSC/401	5	--	5	40	60	100	2 hrs 30 minutes
DSC-12	Behavioural Finance	P24/COM/DSC/402	5	-	5	40	60	100	2 hrs 30 minutes
PWK	Project Work	P24/COM/PRJ/401	5	--	5	40	60	100	2 hrs 30 minutes
DSE-3	Financial Modeling	P24/COM/DSE/401/P	3	4	5	40	60	100	2 hrs 30 minutes
DSE-4	Introduction to Financial Analytics	P24/COM/DSE/402/P	3	4	5	40	60	100	2 hrs 30 minutes
SDL	Research Paper/ online certifications (NCGPA)	P24/COM/SDL/401	-	-	2	-	-	-	-

Guest lectures and seminars content here.