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BBA Data Science and AI In Knowledge Partnership with EY India
Program details
The BBA in Data Science and Artificial Intelligence, offered in knowledge partnership with EY India, is an industry-integrated undergraduate program designed to develop business professionals skilled in data-driven decision-making, analytics, and AI-enabled strategy.
BBA data science and artificial intelligence program blends core business education with applied data science, analytics and AI, preparing students to work confidently with data, analytics tools, and AI frameworks in real business contexts. Of the nearly 135 academic credits, 36 credits (10 specialised modules, ~360 hours) are designed & delivered by EY experts, ensuring strong industry relevance and practical exposure.
Students gain hands-on experience in business analytics, predictive modelling, machine learning for managers, data visualisation, and AI strategy through real-world case studies and tool-based learning.
Program Highlights
- Industry-integrated curriculum with specialisation modules designed and delivered by EY India
- Strong business foundation combined with data analytics, machine learning, and AI applications
- Hands-on training in tools such as Excel, Python, Power BI, Qlik Sense, and BI platforms
- Focus on business analytics, data storytelling, and decision support
- Exposure to AI strategy, implementation, and responsible AI practices
- Real-world case studies and practical assignments aligned with industry needs
Industry Trends & Career Opportunities
Business decision-making is increasingly driven by data, analytics, and artificial intelligence, making analytical capability a core managerial skill across industries. Organisations are moving from descriptive reporting to predictive and AI-driven insights to improve performance across marketing, finance, operations, and strategy. Technologies such as machine learning, automation, and Generative AI are accelerating digital transformation, while regulatory focus on data governance and responsible AI is redefining business practices.
This evolving landscape is driving strong demand for professionals who can combine business understanding with analytics and AI expertise.
Graduates of the BBA in Data Science and Artificial Intelligence are prepared for roles such as:
- Business Analyst
- Data Analyst
- Business Intelligence (BI) Analyst
- Marketing & Customer Analytics Specialist
- AI Strategy or Business Associate
- Operations & Supply Chain Analytics Analyst
- Risk, Compliance & Responsible AI Analyst
Careers in data science and AI after BBA span consulting, IT services, BFSI, retail, e-commerce, healthcare, manufacturing, FMCG, telecom, analytics firms, and large enterprises, offering diverse and scalable career pathways.
Placements
The BBA in Data Science and Artificial Intelligence programme offers strong placement prospects supported by its industry-integrated curriculum and EY-led modules. Students graduate with hands-on experience in business analytics, data visualisation, predictive modelling, and AI strategy.
Graduates are recruited across consulting firms, IT and analytics companies, BFSI organisations, and large enterprises for roles aligned with analytics, business intelligence, digital strategy, and AI-enabled decision-making, with clear pathways for growth into advanced analytics, consulting, and leadership roles.
Fee Structure
Click here for detailed Fee Structure for BBA in Data Science and Artificial Intelligence program.
Curriculum
BBA AI and data science syllabus includes:
Semester 1
| Course | L | T | P | Credit |
|---|---|---|---|---|
| Principles and Practices of Management | 3 | 0 | 0 | 3 |
| Business Economics 1 | 3 | 0 | 0 | 3 |
| Business Mathematics | 3 | 0 | 0 | 3 |
| Business Accounting | 3 | 0 | 0 | 3 |
| Business Communication | 3 | 0 | 0 | 3 |
| Organizational Behavior | 3 | 0 | 0 | 3 |
| Business Environment | 2 | 0 | 0 | 2 |
| Living Conversations | 2 | 0 | 0 | 2 |
| Environment Sustainability & Climate Change (Theory) | 2 | 0 | 0 | 2 |
| TOTAL | 24 |
Semester 2
| Course | L | T | P | Credit |
|---|---|---|---|---|
| Business Economics 2 | 3 | 0 | 0 | 3 |
| Business Statistics | 3 | 0 | 0 | 3 |
| Financial Management | 3 | 0 | 0 | 3 |
| Marketing Management | 3 | 0 | 0 | 3 |
| Technologies of the future | 2 | 0 | 0 | 2 |
| Human Resource Management | 3 | 0 | 0 | 3 |
| Operations Management | 3 | 0 | 0 | 3 |
| Critical Thinking & Writing | 2 | 0 | 0 | 2 |
| Environment Sustainability & Climate Change (living lab) | 0 | 0 | 4 | 2 |
| Community Engagement and Social Internship | 2 | 0 | 0 | 2 |
| TOTAL | 26 |
Semester 3
| Course | L | T | P | Credit |
|---|---|---|---|---|
| Spreadsheet Modelling | 2 | 0 | 2 | 3 |
| Data Environment | 3 | 0 | 0 | 3 |
| Business Ethics and CSR | 2 | 0 | 0 | 2 |
| Global Context of Business | 1 | 0 | 0 | 1 |
| Data Management | 2 | 0 | 2 | 3 |
| Research Methodology & Report Writing | 3 | 0 | 0 | 3 |
| Consumer Behaviour & Market Research | 3 | 0 | 0 | 3 |
| Minor/Exploratory I | 3 | 0 | 0 | 3 |
| Meta 101 | 1 | 0 | 0 | 1 |
| Working with Data | 2 | 0 | 0 | 2 |
| TOTAL | 24 |
Semester 4
| Course | L | T | P | Credit |
|---|---|---|---|---|
| Web Analytics | 2 | 0 | 2 | 3 |
| Advanced Statistics | 3 | 0 | 0 | 3 |
| Specialization Paper I (Specialization 1: Programing for Analytics, Course: Overview of Programing for Analytics 2: Big Data Analytics and Mining, Course: Big Data Analytics) | 3 | 0 | 0 | 3 |
| Industrial Visit | 0 | 0 | 2 | 1 |
| Minor/Exploratory II | 3 | 0 | 0 | 3 |
| Minor/Exploratory III | 3 | 0 | 0 | 3 |
| Environmental, Social and Governance | 3 | 0 | 0 | 3 |
| Business Analytics | 2 | 0 | 2 | 3 |
| Design Thinking | 2 | 0 | 0 | 2 |
| TOTAL | 24 |
Semester 5
| Course | L | T | P | Credit |
|---|---|---|---|---|
| Text Mining | 2 | 0 | 2 | 3 |
| Specialisation Paper II (Speacialization 1: Programing for Analyitcs, Course: Data Visualization 2: Big Data Analytics and Mining, Course: Data Mining) | 3 | 0 | 0 | 3 |
| Business Intelligence | 2 | 0 | 2 | 3 |
| Project Management | 3 | 0 | 0 | 3 |
| Minor/Exploratory IV | 3 | 0 | 0 | 3 |
| Minor/Exploratory V | 3 | 0 | 0 | 3 |
| Dissertation I | 0 | 0 | 0 | 2 |
| Summer Internship | 0 | 0 | 0 | 2 |
| Predictive Modeling | 2 | 0 | 2 | 3 |
| Essentials of Strategic Management | 3 | 0 | 0 | 3 |
| Leadership and Teamwork | 2 | 0 | 0 | 2 |
| TOTAL | 30 |
Semester 6
| Course | L | T | P | Credit |
|---|---|---|---|---|
| Data Preparation | 3 | 0 | 0 | 3 |
| Dissertation II | 0 | 0 | 0 | 4 |
| Minor/Exploratory VI | 3 | 0 | 0 | 3 |
| Start your Start-up | 2 | 0 | 0 | 2 |
| TOTAL | 12 |
Eligibility
Interested students must meet the minimum eligibility criteria for BBA in Data Science and Artificial Intelligence program:
- Minimum 50% marks in Class X and XII
Selection Criteria
Selection for admission to BBA in Data Science and Artificial Intelligence program at UPES is based on performance in UPESMET-UG / UGAT / CUET Entrance Exams.
