

M-COM in General at University of Petroleum and Energy Studies


Dehradun, Uttarakhand
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About the Specialization
What is General at University of Petroleum and Energy Studies Dehradun?
This M.Com (Financial Technology) program at University of Petroleum and Energy Studies, Dehradun focuses on the intersection of commerce, finance, and cutting-edge technology. It equips students with skills in digital finance, blockchain, data analytics, and regulatory compliance, addressing the rapid transformation in the Indian financial services sector. The program differentiates itself by integrating core accounting and financial principles with contemporary fintech applications, catering to the evolving demands of the Indian job market.
Who Should Apply?
This program is ideal for commerce, economics, or management graduates seeking a career in the dynamic fintech sector. It caters to fresh graduates aspiring to entry-level roles in financial technology companies, digital banking, or wealth management. Additionally, working professionals in traditional finance looking to upskill and transition into technology-driven financial roles will find this program highly beneficial, providing them with the necessary technical and analytical prowess.
Why Choose This Course?
Graduates of this program can expect diverse India-specific career paths in fintech startups, banks, NBFCs, and regulatory bodies. Roles such as Fintech Analyst, Blockchain Consultant, Digital Payment Specialist, or Financial Data Analyst are common. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals potentially earning INR 10-20+ LPA. The program aligns with certifications in blockchain, data analytics, and digital finance, fostering strong growth trajectories in leading Indian and global companies operating in India.

Student Success Practices
Foundation Stage
Build a Strong Fintech Core & Analytics Foundation- (Semester 1-2)
Focus rigorously on understanding fundamental concepts in financial technology, business research, corporate finance, and advanced statistics. Actively participate in quantitative methods workshops and utilize online platforms like Coursera or NPTEL for supplementary learning in data analysis and financial modeling. Engage in peer-to-peer study groups to solidify complex concepts and develop problem-solving skills.
Tools & Resources
Excel, R/Python basics for statistics, Coursera (e.g., Financial Markets course by Yale), NPTEL lectures
Career Connection
Strong foundational knowledge is crucial for clearing initial technical rounds in interviews and building robust analytical skills required for financial analyst and fintech specialist roles.
Explore Digital Finance Ecosystems & Networking- (Semester 1-2)
Attend virtual and physical webinars, industry talks, and fintech summits to understand the evolving Indian digital finance ecosystem, including UPI, digital wallets, and regulatory sandboxes. Actively network with industry professionals via LinkedIn, seeking informational interviews or mentorship opportunities. Join student clubs focused on finance or technology to collaborate on mini-projects and gain practical exposure.
Tools & Resources
LinkedIn, Industry event portals (e.g., India Fintech Forum), UPES alumni network
Career Connection
Early networking can open doors to internships, mentorship, and a better understanding of career paths, providing a competitive edge in the Indian job market.
Develop Essential Software Proficiency- (Semester 1-2)
Start building proficiency in essential financial software and data visualization tools alongside theoretical learning. Practice using MS Excel for financial calculations, basic data analysis, and creating visual reports. Begin exploring introductory modules for tools like Tableau or Power BI, which are widely used in financial analytics roles.
Tools & Resources
Microsoft Excel, Tableau Public (free version), Power BI Desktop (free version), Online tutorials
Career Connection
Hands-on software skills are non-negotiable for modern finance roles and will be frequently tested in interviews for positions like financial data analysts or reporting specialists.
Intermediate Stage
Dive Deep into Machine Learning & Regulatory Compliance- (Semester 3)
Apply theoretical knowledge of Machine Learning in Finance by undertaking small projects using Python/R for tasks like credit scoring, fraud detection, or algorithmic trading. Simultaneously, develop a comprehensive understanding of India''''s financial regulatory framework (RBI, SEBI, AML/KYC) by reading official reports and case studies. This stage is crucial for combining technical skills with compliance knowledge.
Tools & Resources
Python with libraries (Scikit-learn, Pandas), R, RBI/SEBI websites, Financial news platforms
Career Connection
Proficiency in both ML application and regulatory understanding is highly valued in FinTech compliance, risk management, and data science roles within financial institutions.
Engage in Industry-Relevant Projects & Certifications- (Semester 3)
Actively seek out and participate in industry projects or case competitions focused on wealth management, financial planning, or specific fintech challenges. Consider pursuing relevant professional certifications like NISM (National Institute of Securities Markets) modules or certifications in financial planning to add specialized credentials to your profile.
Tools & Resources
NISM certification resources, Financial industry case study repositories, UPES career services
Career Connection
Practical project experience and industry certifications significantly enhance your resume, demonstrating practical application and commitment, which are key for securing internships and jobs.
Master Advanced Financial Analytics & Visualization- (Semester 3)
Build advanced proficiency in financial analytics tools, specifically focusing on data visualization and dashboard creation for financial data. Work on projects that involve querying financial databases (SQL) and presenting insights through interactive dashboards using tools like Tableau or Power BI, aligning with topics taught in Machine Learning in Finance.
Tools & Resources
SQL, Tableau, Power BI, Advanced Excel functionalities
Career Connection
These skills are essential for roles like Financial Data Scientist, Business Intelligence Analyst, or Quantitative Analyst, allowing you to interpret and communicate complex financial data effectively.
Advanced Stage
Excel in Capstone Project & Showcase Portfolio- (Semester 4)
Dedicate significant effort to your Capstone Project (Capstone Project II), ensuring it addresses a real-world fintech problem or opportunity. Develop a comprehensive portfolio of your projects, including code repositories (GitHub), dashboards, and detailed reports, showcasing your skills in digital marketing, financial analytics, and cybersecurity.
Tools & Resources
GitHub, Professional portfolio websites, Project management tools
Career Connection
A strong Capstone Project and well-curated portfolio are critical for demonstrating practical capabilities to potential employers, especially for roles requiring independent problem-solving and technical expertise.
Intensify Placement Preparation & Mock Interviews- (Semester 4)
Engage actively in placement preparation activities offered by the university''''s career services, focusing on resume building, interview skills, and group discussion techniques. Participate in mock interviews with faculty and alumni, especially targeting questions related to fintech, financial concepts, and case studies. Brush up on aptitude, logical reasoning, and communication skills.
Tools & Resources
UPES Career Services, Online aptitude test platforms, Interview prep guides
Career Connection
Focused preparation significantly increases your chances of excelling in the competitive placement process for top fintech companies and financial institutions.
Specialize in Niche FinTech Domains & Ethical Hacking- (Semester 4)
Deepen your understanding of niche fintech areas like blockchain security, ethical hacking in finance, or advanced digital marketing strategies for financial products. Consider specialized certifications or advanced online courses in these areas to become a subject matter expert. Apply these learnings to enhance your Capstone Project or undertake a new independent research project.
Tools & Resources
EC-Council certifications (e.g., CEH), Specialized online courses (e.g., Udemy, edX), Industry whitepapers
Career Connection
Specializing in high-demand niche areas like cybersecurity in finance makes you a highly sought-after professional, opening doors to advanced and specialized roles with higher earning potential.
Program Structure and Curriculum
Eligibility:
- Minimum 50% marks in B.Com/BBA/BA (Economics)/B.Sc. (Statistics)/B.Sc. (Maths) from a recognized University.
Duration: 4 semesters / 2 years
Credits: 76 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UCMG 7001 | Business Research Methods | Core | 4 | Research Design, Data Collection Methods, Sampling Techniques, Hypothesis Testing, Report Writing |
| UCMG 7002 | Financial Technology and Innovation | Core | 4 | Fintech Landscape, Digital Payments, Emerging Financial Technologies, Regulatory Sandbox, Impact of Innovation on Finance |
| UCMG 7003 | Financial Reporting and Analysis | Core | 4 | Indian Accounting Standards, Financial Statement Analysis, Ratio Analysis, Cash Flow Statement, Valuation Techniques |
| UCMG 7004 | Corporate Finance | Core | 4 | Capital Budgeting Decisions, Working Capital Management, Cost of Capital, Leverage Analysis, Mergers and Acquisitions |
| UCMG 7005 | Business Economics | Core | 4 | Demand and Supply Analysis, Market Structures, Macroeconomic Indicators, Monetary Policy, Fiscal Policy |
| UCMO XXXX | Open Elective I | Elective | 2 |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UCMG 7006 | Advanced Business Statistics | Core | 4 | Probability Distributions, Regression Analysis, Time Series Analysis, Non-parametric Tests, Data Visualization Techniques |
| UCMG 7007 | Investment Analysis and Portfolio Management | Core | 4 | Securities Markets, Equity Valuation, Bond Valuation, Modern Portfolio Theory, Risk and Return Management |
| UCMG 7008 | Digital Banking and Payments | Core | 4 | Digital Transformation in Banking, Mobile Banking, Payment Systems (UPI, IMPS), Cybersecurity in Finance, E-wallets and Prepaid Instruments |
| UCMG 7009 | Blockchain and Cryptocurrency in Finance | Core | 4 | Blockchain Fundamentals, Cryptographic Concepts, Bitcoin and Altcoins, Decentralized Finance (DeFi), Smart Contracts |
| UCMG 7010 | Entrepreneurship and New Venture Creation | Core | 4 | Idea Generation, Business Plan Development, Startup Funding, Legal Aspects of Startups, Growth Strategies |
| UCMO XXXX | Open Elective II | Elective | 2 |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UCMG 8001 | Machine Learning in Finance | Core | 4 | AI and ML Fundamentals, Predictive Modeling, Algorithmic Trading, Credit Scoring, Fraud Detection |
| UCMG 8002 | Regulatory Framework of Financial Technology | Core | 4 | Financial Regulations in India, RBI Guidelines, SEBI Regulations, AML and KYC Norms, Data Privacy and Security |
| UCMG 8003 | Wealth Management and Financial Planning | Core | 4 | Personal Finance, Investment Products, Retirement Planning, Estate Planning, Insurance Products |
| UCMG 8004 | Capstone Project I | Project | 4 | Project Proposal Development, Literature Review, Methodology Design, Data Collection Strategies, Preliminary Analysis |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UCMG 8005 | Digital Marketing for Financial Services | Core | 4 | SEO and SEM Strategies, Social Media Marketing, Content Marketing, Digital Analytics, Customer Acquisition in Finance |
| UCMG 8006 | Financial Analytics and Visualization | Core | 4 | Data Warehousing, SQL for Financial Data, Tableau and Power BI, Financial Modeling, Dashboarding and Reporting |
| UCMG 8007 | Ethical Hacking and Cyber Security in FinTech | Core | 4 | Cyber Threats in Finance, Network Security, Ethical Hacking Methodologies, Data Breach Prevention, Regulatory Compliance for Security |
| UCMG 8008 | Capstone Project II | Project | 4 | Project Execution and Implementation, Advanced Data Analysis, Result Interpretation, Report Writing and Presentation, Project Defense |




