*Semester-wise Course Outline* 

 

*Semester 1: Foundation Courses* 

1. *Advanced Accounting & Financial Management* 

   - Financial statement analysis 

   - Corporate accounting standards (IFRS, GAAP) 

   - Budgeting and financial modelling using Excel/ERP tools 

 

2. *Business Economics & Quantitative Techniques* 

   - Microeconomics and macroeconomics for decision-making 

   - Statistical tools (SPSS, R) for business analytics 

 

3. *Programming Fundamentals* 

   - Basics of Python/Java programming 

   - Algorithms and data structures 

 

4. *Database Management Systems (DBMS)* 

   - SQL, NoSQL, and database design 

   - Tools: MySQL, MongoDB 

 

5. *Business Communication & Ethics* 

   - Technical writing, presentations, and corporate ethics 

 

*Semester 2: Core Applications* 

1. *E-Commerce & Digital Marketing* 

   - E-commerce platforms (Shopify, Magento) 

   - SEO, SEM, and social media analytics 

 

2. *Advanced Financial Management* 

   - Risk management, portfolio analysis 

   - Financial software (Tally, QuickBooks) 

 

3. *Web Technologies* 

   - HTML, CSS, JavaScript, and frameworks (React, Angular) 

   - Web development projects 

 

4. *Data Analytics & Visualization* 

   - Data mining techniques 

   - Tools: Tableau, Power BI, Python libraries (Pandas, Matplotlib) 

 

5. *Taxation & GST Systems* 

   - Tax computation software (GenTax, Zoho Tax) 

 

*Semester 3: Specialization & Electives* 

1. *Elective 1* (Choose one): 

   - *FinTech & Blockchain* 

     - Cryptocurrency, smart contracts, and blockchain applications in finance 

   - *Enterprise Resource Planning (ERP)* 

     - SAP modules, Oracle ERP Cloud 

 

2. *Elective 2* (Choose one): 

   - *Cyber Security in Commerce* 

     - Data protection, ethical hacking, and GDPR compliance 

   - *Artificial Intelligence in Business* 

     - Machine learning models for forecasting and decision-making 

 

3. *Business Intelligence (BI) & Big Data* 

   - Hadoop, Apache Spark, and predictive analytics 

 

4. *Research Methodology* 

   - Quantitative and qualitative research techniques 

 

5. *Internship/Industry Project* 

   - Hands-on experience in corporate IT/commerce roles 

 

*Semester 4: Advanced Topics & Dissertation* 

1. *Elective 3* (Choose one): 

   - *Digital Transformation in Business* 

   - *International Business & Trade Analytics* 

 

2. *Cloud Computing for Business* 

   - AWS/Azure basics, SaaS models 

 

3. *Dissertation/Thesis* 

   - Research project combining commerce and computer applications (e.g., AI-driven financial analysis, ERP implementation case studies) 

 

4. *Viva Voce & Project Defence* 

 

*Practical Components* 

- *Lab Work*: 

  - Accounting software (Tally, Zoho Books) 

  - Programming labs (Python, Java) 

  - Data analytics labs (R, Python, Tableau) 

 

- *Projects*: 

  - Developing e-commerce platforms 

  - Financial modelling and predictive analytics 

  - ERP/SAP simulation projects 

 

*Key Skills Developed* 

- Financial analysis using AI/ML tools. 

- Database management and business intelligence. 

- Digital marketing and e-commerce strategies. 

- Programming for business automation.