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| Assesment Pattern | |
Assessment Pattern Students are evaluated for each paper on the basis of written examination and continuous internal assessment (CIA). Each paper carries a maximum of 100 marks and is evaluated as follows:
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| Examination And Assesments | |
Question Paper Pattern - MSE The question paper pattern will be as specified below:
Question Paper Pattern - ESE The question paper pattern will be as specified below:
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| Department Overview: | |
The Department of Commerce, one of the oldest and largest departments of the University, believes in developing and nurturing global competencies in students through quality education, research and continuous innovation. It provides a proficient environment to nurture commerce professionals with a high level of knowledge and competence to effectively contribute to society with commitment and integrity. The department offers undergraduate courses like BCom, BCom (Honours) and BCom (Strategic Finance Honours); Master’s Programme in Commerce and Doctorate of Philosophy in Commerce. It also provides value-added professional programmes and certifications through recognised global bodies such as the Institute of Management Accountants (IMA), USA, Chartered Institute for Securities and Investment (CISI), UK and Insurance Institute of India (III). In recognition of excellence in the provision of higher education in the fields of financial services, CISI, UK awarded the University with the 'CISI centre of Excellence Accreditation', the only university outside the UK which has been conferred with this status. With a student strength of over 2600, the department ranks sixth in India and first in Bengaluru for Commerce education (The India Today- MDRA Survey 2021). | |
| Mission Statement: | |
Vision: To be a Centre of Excellence in the realm of Commerce and Management, developing and nurturing global competencies in students through quality education, research, and continuous innovation. Mission: To nurture commerce professionals who possess a high level of knowledge and competence to effectively contribute to society with commitment and integrity. | |
| Introduction to Program: | |
BCom (Applied Finance and Analytics) The BCom (Applied Finance and Analytics) programme formerly known as BCom (Honours) is designed with a dual focus of applying knowledge of Finance and the knowledge of analytics in real world situations. It’s unique ‘Applied’ course design helps a learner to learn by doing. It is best suited for students who wish to master the knowledge of finance and at the same time acquire skills to embrace an artificial intelligence enabled future. The course on the Finance front, is carefully designed to give students the knowledge and skills to be employed in various finance related roles by combining the knowledge of finance, economics, accounting and quantitative techniques. Students will learn to analyse financial data with the backdrop of economic trends and develop financial models to cater to the needs of business. From the first year of the programme, students are exposed to real time industry environments through industry integrated capstone projects. Students learn advanced courses across finance catering to careers in Corporate Finance , Mergers and Acquisition , Business Valuation and Modelling, Investment Management, Risk Management , Financial planning , Private equity, Wealth management and Management Consulting. These courses are benchmarked with professional qualifications such as CFA, FRM, LOMA and help them to clear to Level 1 of these qualifications effortlessly. On the Analytics front, students will learn to code, programme and handle complex data sets with algorithms. They’ll learn to use tools such as Python, R, VBA, Power BI,SQL and will develop skills to interpret and convert data into valuable insights and use them to create business strategies and drive business decisions. They will also learn a few courses pertaining to data science techniques such as predictive modelling, optimization techniques , advanced statistics and machine learning. At the end, students learn about visualisation and presentation of insights. These courses are benchmarked against industry standard certifications in analytics such as Microsoft Certified Data Analyst and IBM Data Science Professional Certificate. During the course of study, students are exposed to foundational subjects such as Economics, Accountancy, Taxation, Business Regulations, Marketing , Human resource management and Risk management . The domain insights gained through these foundation level subjects help a learner to combine this domain knowledge with analytics for e.g., using Marketing domain insights for Social media /Web analytics or for taking better strategic financial decisions. The course is systematically designed with capstone projects specifically to cater to analytics based courses in various domains such as -Retail, Web and social media, Supply chain and logistics , Health care, Banking, Insurance, Finance and Accounting and start-ups where industry partners mentor and evaluate the projects along with faculty mentors.
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| Program Objective: | |
Programme Outcome/Programme Learning Goals/Programme Learning Outcome: P01: Apply knowledge of core disciplines of commerce to support strategic decision-making and fulfillment of business goals.PO2: Create, design, and develop business ideas into value-generating enterprises. PO3: Demonstrate holistic values, skills pertaining to physical and emotional well-being, moral principles, and community engagement skills in both personal and professional life. PO4: Apply a multi-disciplinary approach to gain a deeper understanding of concepts, drive new business initiatives and solve complex problems creatively. PO5: Evaluate investing and financing strategies to meet specific financial goals PO6: Use analytical tools and techniques to evaluate financial data, conduct financial analysis, and make informed business decisions. PO7: Apply data analysis methods, including statistical analysis, data visualisation, and predictive modelling to facilitate corporate decision making. Programme Specific Outcome: -: -Programme Educational Objective: -: - | |