Year 1: Foundation Courses*

*Semester 1:*

- *Financial Accounting I*: Basics of accounting principles, journal entries, and balance sheets.

- *Business Economics I*: Microeconomics concepts (demand, supply, market structures).

- *Business Mathematics I*: Algebra, calculus, and matrices.

- *Principles of Management*: Organizational behaviour and management theories.

- *Business Communication*: Report writing, presentations, and professional communication.

- *Environmental Studies*: Sustainability and business ethics.

*Semester 2:*

- *Financial Accounting II*: Advanced accounting (partnerships, cash flow statements).

- *Business Economics II*: Macroeconomics (GDP, inflation, fiscal policy).

- *Business Mathematics II*: Probability, permutations, and financial mathematics.

- *Business Statistics I*: Descriptive statistics, data visualization, and basic probability.

- *Computer Fundamentals*: Introduction to Excel for data handling.

*Year 2: Intermediate Courses*

*Semester 3:*

- *Corporate Accounting*: Company financial statements and mergers.

- *Cost Accounting*: Costing methods (job, process, activity-based).

- *Business Statistics II*: Inferential statistics (sampling, hypothesis testing, t-tests, chi-square).

- *Business Law*: Contract and commercial law basics.

*Semester 4:*

- *Income Tax Law*: Tax computation and filing procedures.

- *Auditing*: Audit principles and practices.

- *Statistical Methods*: Regression analysis, correlation, ANOVA.

- *Entrepreneurship*: Business planning and startup strategies.

*Year 3: Advanced Specialization*

*Semester 5:*

- *Management Accounting*: Budgeting and variance analysis.

- *Advanced Statistical Methods*: Time series analysis, index numbers, multivariate techniques.

- *Elective I* (Choose one):

  - Econometrics: Statistical methods in economic data.

  - Marketing Research: Survey design and data analysis.

  - Business Analytics: Predictive modeling and data mining.

- *Statistical Software Lab*: Hands-on training in R/Python/SPSS for data analysis.

*Semester 6:*

- *Financial Management*: Capital budgeting and risk management.

- *Applied Statistics*: Case studies in business decision-making.

- *Elective II* (Choose one):

  - Operations Research: Linear programming, optimization.

  - Actuarial Science: Risk assessment in insurance/finance.

  - Data Visualization: Tools like Tableau/Power BI.

- *Project Work/Dissertation*: Real-world statistical analysis project (e.g., market trend forecasting, financial data modelling).

*Practical Components*

- *Software Training*: Labs on Excel, R, Python, or SPSS.

- *Case Studies*: Application of statistical tools in business scenarios.

- *Internships/Projects*: Industry collaborations for hands-on experience.

*Elective Options*

- Data Analysis & Interpretation

- Financial Econometrics

- Risk Management

- Digital Marketing Analytics

- Supply Chain Statistics