The Business Analytics course provides students with the skills and knowledge necessary to analyze and interpret data to inform business decisions. The course typically covers topics such as data collection and cleaning, statistical analysis, data visualization, and predictive modeling. Students learn to use various analytical tools and software, including Excel, SPSS, to work with real-world data sets. The course emphasizes practical applications in business contexts, enabling students to identify trends, solve problems, and improve business performance through data-driven insights.
This course provides an essential foundation in mathematical concepts for business and economics, divided into five units. The curriculum begins with matrices, covering matrix operations, determinants, and solving linear equations using Matrix Inversion and Cramer's Rule. Differentiation follows, focusing on differentiation rules and applications such as elasticity, cost, revenue, and profit analysis. The integration unit explores techniques and their application to marginal analysis and demand functions. The course also includes basic mathematics of finance, such as simple and compound interest, continuous compounding, and relationships between nominal and effective interest rates. Finally, linear programming is taught, covering the formulation and graphical solutions of linear programming problems and addressing various solution scenarios. This course equips students with critical mathematical tools for business problem solving and decision-making.
The Financial Accounting course provides an understanding of the fundamental principles and concepts of accounting. It covers the preparation and interpretation of financial statements, including the balance sheet, income statement, and cash flow statement. Students learn about the accounting cycle, double-entry bookkeeping, and the application of accounting standards. The course also delves into topics such as revenue recognition, depreciation, and financial statement analysis. By the end of the course, students should be able to analyze financial information, make informed business decisions, and understand the financial health of an organization.
1. Able to understand need of the research.
2. Research problem can identified.
3. Understand research process.
4. Able to understand research design according to research problem.
5. Able to different measurement scales.
6. Able to collect data and analyse such data using different techniques.
7. Business Research Methods provides the student with substantial experience in developing critical analysis business situations.
1. Able to understand Data Analysis Techniques.
2. Able to understand Statistical Software like SPSS, Excel etc.
3. Able to different types of data and their techniques.
Understand basic concepts of financial management and their application in investment, financing and dividend decisions. Understand concepts of cost of capital, leverage analysis, capital structure and dividend theories and identify courses of action in financial environment that would result in maximization of wealth of an organization. Understand management of working capital and estimate the same for an organization