The massive advances made in computational technologies in recent decades has radically changed the way businesses operate. Data is being increasingly referred to as the new “oil”. Businesses can get access or have access to vast amounts of information about their operations, customers, and products. Interpreting this information to get actionable insights and turn them into productive and profitable business solutions requires trained professionals who are adept at utilizing this data. To meet the burgeoning demand for experts who are skilled in the use of technology, data analysis, and business processes for strategic decision making, the interdisciplinary area of Business Analytics has come into existence.
The Business Analytics specialisation offers courses in the disciplines of Business and Data Analytics, Advanced Operations Research, and Enterprise Data Management, besides introducing the student to Big Data and AI and ML. Relevant skill sets are imparted to the students through an appropriate blend of academic and experiential learning. Also a solid foundation is laid in the application of statistical methods, techniques, and tools to large datasets. The specialisation provides students with the background needed to apply statistical methods and techniques through use of decision support systems (DSS), expert systems (ES), business intelligence (BI) reporting tools, and business analytics (BA) data mining tools. The specialisation is built upon a strong and holistic understanding of business areas such as finance, marketing, research methods, accounting, ethics, and entrepreneurship. Graduates will be prepared for business analytics and reporting positions in any industry and also to pursue higher education in data science or allied areas.
PROGRAM AIMS
The Business Analytics Major and Minor intends to:
- To be able to mine and extract data from disparate set of sources
- To be able to investigate business transactions and data, especially in the areas of supply chain, marketing, human resources and finance, to establish new relationships and patterns
- To build a competency in data analysis, especially the correlation between different variables
- Be able to apply knowledge to business problems and help managers make data-driven decisions
- Be able to identify, formulate, analyse and solve business problems using programming techniques such as Linear and Goal programming
- To build prescriptive and predictive business models
- To be able to confidently use commercial/open source tools, as well as write custom programs using platforms like Python, as part of problem solution
- To be able to explore areas of application of futuristic techniques such as Artificial Intelligence, Machine Learning, and Natural Language Processing
- To be able to build visual models to enhance interactions during problem-solution discussions, and improve quality of solutions
PROGRAM OUTCOMES
On the completion of the Major Program student will:
- Demonstrate basic knowledge in accounting, economics, finance, management, Entrepreneurship, and marketing in application of concepts and theories.
- Integrate the concepts of the core areas of business and apply it in various contexts.
- Understand the importance of the ethics in business activities.
- Demonstrate basic knowledge in accounting, economics, finance, management, Entrepreneurship, and marketing in application of concepts and theories.
- Understand the basic concepts of data and its different forms (numbers, text, images, audio etc.)
- Apply methods of extracting relevant data from different sources
- Identify business problems using patterns of data
- Develop an ability to formulate business problems mathematically
- Develop an ability to interpret solutions
- Demonstrate the technical skills required for solving business problems, including using relevant tools/platforms and commercial programming languages
- Identify and apply knowledge acquired in the classroom on different domains such as supply chain, finance, marketing and human resources
- Articulate research ideas from futuristic topics such as artificial intelligence, machine learning etc.,
- Identify areas of applications of these futuristic topics
On the completion of the Minor Program student will:
- Develop a sound understanding of the basic concepts of data and its different forms (numbers, text, images, audio etc.)
- Develop a deep understanding of methods of extracting relevant data from different sources
- Develop the ability to identify business problems using patterns of data
- Develop an ability to formulate business problems mathematically
- Develop an ability to interpret solutions
- Demonstrate the technical skills required for solving business problems, including using relevant tools/platforms and commercial programming languages
- Identify and apply knowledge acquired in the classroom on different domains such as supply chain, finance, marketing and human resources
28 MAJOR COURSES
|
1. Introduction to Operations Research |
11. Marketing Management |
21. Advanced Operations Research |
| 2. Introduction to Finance and Accounting | 12. Organisational Behaviour | 22. Negotiations |
| 3. Consumer & Markets | 13. Research Methods for Managers | 23. Business Innovation, Entrepreneurship and Strategy |
| 4. Introduction to People Management | 14. Financial Management | 24. Business Applications of Analytics |
| 5. Introduction to Entrepreneurship & Family Business | 15. Introduction to Big Data & Cloud Computing | 25. Machine Learning - 2: Introduction to Deep Learning |
| 6. Introduction to Spreadsheet Modeling | 16. Data Mining for Business Intelligence | 26. Data Analytics Services |
| 7. Introduction to Quantitative Methods | 17. Design Thinking for Managers | 27. E-Commerce |
| 8. Introduction to Programming | 18. Business Ethics and Corporate Governance | 28. Enterprise Data Management |
| 9. Managerial Economics | 19. Machine Learning – 1: Introduction | |
| 10. Accounting for Managers | 20. Statistical Data Analysis and Visualisation |
1. Introduction to Operations Research
To be updated
2. Introduction to Finance and Accounting
To be updated
3. Consumer & Markets
To be updated
4. Introduction to People Management
This course is an introduction to organizational behaviour and human resource management for undergraduates. It discusses behaviour in organizations at individual, group & organizational levels and provides an understanding of the underlying aspects that drive behavior. It discusses the processes and tools for managing human resources effectively. It also enables students to understand the application of different tools and practices in directing individual actions towards organizational objectives.
5. Introduction to Entrepreneurship & Family Business
To be updated
6. Introduction to Spreadsheet Modeling
To be updated
7. Introduction to Quantitative Methods
This course is designed to give undergraduate students an introduction to decison making. The use of quantitative techniques is increasingly being adopted in all areas of human endeavour. The need to collect, analyze and interpret mathematical output is increasingly being appreciated for arriving at conclusions or in strategic decision making. This course will deal with fundamental concepts required to model, analyse and solve quantitative problems arising in any discipline. A student undertaking this course can have little to no formal introduction to mathematics and statistics at the higher secondary level.
8. Introduction to Programming
This is a first course in problem solving through computer programming; no previous programming experience is assumed. Programming is introduced as an executable form of mathematics. The course brings a clean separation between the problem, the model and the machine and the 2 basic binding times: program development and program execution.
9. Managerial Economics
This course provides a foundation of economic theories and models for use in managerial decision-making. The course provides students with an overview of theories of demand, supply, production and competition and equips them with the tools and techniques to make effective economic decisions under different business environments.
10. Accounting for Managers
Financial accounting provides the means of recording and reporting financial information in a business. Accounting plays a vital role as an information system for monitoring, problem solving and decision-making. This course provides the fundamentals of Financial Accounting and goes on to demonstrate how accounting fits into the overall business environment of an organization. In addition to this, Management Accounting systems, which have a strong internal focus can be effective tools in providing information that is useful in decision making at all levels in the organization. Management accountants play a strategic role in developing and providing both financial and non-financial information that is critical to the success of an organization.
11. Marketing Management
This course provides a conceptual framework to the students to understand the function of marketing in an organization. The course helps students to apply the marketing concepts and theories to solve case studies and projects. The course makes them vigilant of the marketing happenings in the real world and therefore importance of creating effective marketing strategies.
12. Organisational Behaviour
To be updated
13. Research Methods for Managers
To be updated
14. Financial Management
To be updated
15. Introduction to Big Data & Cloud Computing
To be updated
16. Data Mining for Business Intelligence
To be updated
17. Design Thinking for Managers
To be updated
18. Business Ethics and Corporate Governance
Corporate governance and Business ethics have increasingly become the drivers of success in any business organization. The aim of this course is to develop the students’ critical understanding of various facets of sound and ethical corporate governance including corporate social responsibility. Students should be able to review and evaluate governance structures and responsibilities; and to exercise judgment in utilising and reviewing ethical rules and concepts for business. In addition, they will be able to critically evaluate the role of internal auditors in assuring that organisations comply with corporate governance and ethical policies. The course would empower the students to understand the generic issues and challenges to create a new identity of any institution
19. Machine Learning - 1: Introduction
To be updated
20. Statistical Data Analysis and Visualisation
To be updated
21. Advanced Operations Research
To be updated
22. Negotiations
To be updated
23. Business Innovation, Entrepreneurship and Strategy
To be updated
24. Business Applications of Analytics
To be updated
25. Machine Learning - 2: Introduction to Deep Learning
To be updated
26. Data Analytics Services
To be updated
27. E-Commerce
To be updated
28. Enterprise Data Management
To be updated
20 MINOR COURSES
|
1. Introduction to Operations Research |
8. Introduction to Programming | 15. Advanced Operations Research |
| 2. Introduction to Finance and Accounting | 9. Managerial Economics | 16. Business Applications of Analytics |
| 3. Consumer & Markets | 10. Marketing Management | 17. Machine Learning - 2: Introduction to Deep Learning |
| 4. Introduction to People Management | 11. Introduction to Big Data & Cloud Computing | 18. Data Analytics Services |
| 5. Introduction to Entrepreneurship & Family Business | 12. Data Mining for Business Intelligence | 19. E-Commerce |
| 6. Introduction to Spreadsheet Modeling | 13. Machine Learning – 1: Introduction | 20. Enterprise Data Management |
| 7. Introduction to Quantitative Methods | 14. Statistical Data Analysis and Visualisation |
1. Introduction to Operations Research
To be updated
2. Introduction to Finance and Accounting
To be updated
3. Consumer & Markets
To be updated
4. Introduction to People Management
This course is an introduction to organizational behaviour and human resource management for undergraduates. It discusses behaviour in organizations at individual, group & organizational levels and provides an understanding of the underlying aspects that drive behavior. It discusses the processes and tools for managing human resources effectively. It also enables students to understand the application of different tools and practices in directing individual actions towards organizational objectives.
5. Introduction to Entrepreneurship & Family Business
To be updated
6. Introduction to Spreadsheet Modeling
To be updated
7. Introduction to Quantitative Methods
This course is designed to give undergraduate students an introduction to decison making. The use of quantitative techniques is increasingly being adopted in all areas of human endeavour. The need to collect, analyze and interpret mathematical output is increasingly being appreciated for arriving at conclusions or in strategic decision making. This course will deal with fundamental concepts required to model, analyse and solve quantitative problems arising in any discipline. A student undertaking this course can have little to no formal introduction to mathematics and statistics at the higher secondary level.
8. Introduction to Programming
This is a first course in problem solving through computer programming; no previous programming experience is assumed. Programming is introduced as an executable form of mathematics. The course brings a clean separation between the problem, the model and the machine and the 2 basic binding times: program development and program execution.
9. Managerial Economics
This course provides a foundation of economic theories and models for use in managerial decision-making. The course provides students with an overview of theories of demand, supply, production and competition and equips them with the tools and techniques to make effective economic decisions under different business environments.
10. Marketing Management
This course provides a conceptual framework to the students to understand the function of marketing in an organization. The course helps students to apply the marketing concepts and theories to solve case studies and projects. The course makes them vigilant of the marketing happenings in the real world and therefore importance of creating effective marketing strategies.
11. Introduction to Big Data & Cloud Computing
To be updated
12. Data Mining for Business Intelligence
To be updated
13. Machine Learning - 1: Introduction
To be updated
14. Statistical Data Analysis and Visualisation
To be updated
15. Advanced Operations Research
To be updated
16. Business Applications of Analytics
To be updated
17. Machine Learning - 2: Introduction to Deep Learning
To be updated
18. Data Analytics Services
To be updated
19. E-Commerce
To be updated
20. Enterprise Data Management
To be updated