Overview
BBA in Business Analytics is a 3 years programme that blends a combination of Business Knowledge and Analytical ability for data driven business decisions that builds a strong base in business administration. The Program trains students to use and analyse data in purposeful way. It blends business management, analytics, mathematics, statistics, computer science and data science to shape graduates who can navigate today’s analytics-driven landscape with confidence.
The major emphasis of the programme lies in its data driven analytic-focused curriculum. Students dive into statistical methods, data visualisation, predictive modelling, machine learning and data mining. They are trained to use the industry required tools – Python, R, SQL and Tableau.
Career pathways
- Business Analyst
- Data Analyst
- Marketing Analyst
- Financial Analyst
- Operations Analyst
- Business Intelligence (BI) Executive
- Consulting Analyst
- Product Analyst
- Risk & Credit Analyst
- E-commerce & Digital Analytics Executive
Major Sectors
- Information technology and Software
- Banking and Financial Services
- Infrastructure and Real Estate
- Health Management
- Logistics and Hospitality
Programme Education Objectives
| PEOs | Programme Educational Objectives |
|---|---|
| PEO1 | Provide students with an overview of business analytics and its applications across industries, highlighting the role of data analytics in decision-making and the value of data-driven insights in business success. |
| PEO2 | Build an understanding of how to organise information efficiently and analyse it using appropriate software tools. |
| PEO3 | Introduce students to descriptive analytics techniques used to summarise and interpret data, including data visualisation, exploratory data analysis, data profiling and summary statistics. |
| PEO4 | Instill professional ethics, human values and social responsibility for the benefit of organisations and society. |
| PEO5 | Prepare future business professionals to apply theoretical understanding toward creating practical solutions for real-world challenges. |
Programme Outcomes (POs)
| POs | Programme Outcomes |
|---|---|
| PO1 | Students will be able to perform forecasting and predictive analytics. |
| PO2 | Students will be familiar with basic data visualisation techniques and capable of learning advanced methods. |
| PO3 | Students will be able to work on business applications of emerging technologies. |
| PO4 | Students will develop reflective, scientific and creative thinking to gain deeper insights into the business world and tackle complex situations using their acquired skills and knowledge. |
| PO5 | Students will adopt ethical practices, understand sustainability and show social responsibility, becoming individuals who contribute positively to society. |
Programme Structure
| Semester I | Semester II | Semester III | Semester IV | Semester V | Semester VI |
|---|---|---|---|---|---|
| Saahitya Sourabha– I / Gadya Varidhi / Translations selected from South India | Saahitya Sourabha – II Gadya Kalash Translations selected from East and North East India | Saahitya Dhaare – I / Kavya Sudha / Translations selected from Central and West India | Saahitya Dhaare – II / Khand kavya – Shabari/ Translations selected from North India | Business Policy and Strategy | Banking and Operations |
| Readings from Literature and Language Skills | Interpretations of Literature and Language Skills | Perceptions of Literature and Language Skills | Insights from Literature and Language Skills | Personal Tax Planning | Entrepreneurship & Start-up Management |
| Introduction to Accounting | Corporate Environment | Statistical Methods for Business Decisions | Global Business Dynamics | Organization Communication Strategies | Cyber Security |
| Management Theory and Practical Applications | Mathematics for Business Decisions | Ethics and CSR for Business Managers | SQL for Business | Data Analytics Using R | Big Data Analytics |
| Business Analytics Essentials | Power Business Intelligence | Python for Managers | Data Visualization Using Tableau | Change and Innovation Management | E Business & Mobile Commerce |
| Information Technology for Managers | AI – ML and its Business Applications | Cloud Computing and IOT | Business Research Methods | Data Warehousing & Data Mining | Supply Chain Analytics |
| Constitution of India | Environmental Studies | a. Indian Knowledge System b. Financial Literacy and Personal Wealth Management (Any one paper to be selected) | a. Employability Skills b. Business Leadership (Any one paper to be selected) | Capstone Project | Corporate Internship |
| - | - | - | Statistical Package for Business Analysis | - | - |
| - | - | - | Constitution Moral Values -II | - | - |
Value Added Course (VACs)
| S.No | Name of the VAC |
|---|---|
| 1 | Introduction to Fintech and Digital Payments |
Eligibility Criteria
Candidates who have completed two-years pre-university programme of Karnataka State or its equivalent of any state or country are eligible for admission into this programme.
- Pass in 10 + 2 are eligible for BBA (Business Analytics) admission
