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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.
Further Information
Enquiry Form
Frequently Asked Questions
Interested students must satisfy the BBA Artificial Intelligence eligibility criteria for admission to the BBA Artificial Intelligence and Data Science course. As per the prescribed criteria, students must have completed 10+2 from a recognized board with a minimum of 50% marks. Furthermore, selection criteria may require students to have a valid UPESMET-UG, UGAT, or CUET entrance exam score.
Students who are passionate about careers in business management, data-driven business solutions, and AI integration across processes should pursue a BBA in Data Science and Artificial Intelligence. The BBA AI course is designed for students who are keen to apply data-oriented technological solutions to complex business problems with a specialized focus on AI tools and data analytics methods.
In collaboration with UPES, the Big 4 consulting firm, EY India is offering an industry-focused BBA in Data Science and Artificial Intelligence program. Through this collaboration, students get chance to attend offline in campus lectures delivered by EY Industry Practitioners and gain practical experience in business analytics, predictive modelling, machine learning for managers, data visualization, and AI strategy.
Yes, the BBA AI syllabus at UPES does include programming and coding integrated with the specialization module. Students learn coding concepts for business analytics along with Big Data Analytics and Mining. The program puts emphasis on industry-relevant learning by integrating essential programming and coding concepts into the curriculum.
Careers in data science and AI after BBA include profiles in domains such as AI consulting, business intelligence, and technology-driven management. Common roles include Data Analyst, Business Intelligence Executive, AI Consultant, Operational Analyst, and Financial Analyst, with BBA Data Science and Artificial Intelligence salary varying by role, experience, and employer.
The BBA Data Science and AI focus on building AI/ML models and applying the technology to achieve business goals and simplify business problems. On the other hand, the BBA Business Analytics course is designed to use historical data to predict future business outcomes and create business strategies based on available data.
During BBA course in AI and Data Analytics students gain hands-on learning experience with Excel, Python, Power BI, Qlik Sense, and BI platforms. These tools help students gain practical knowledge of business analytics use cases and give students the ability to apply their theoretical understanding of AI and data analytics concepts to real-world projects.
Yes, BBA Data Science & AI is an excellent career choice in India with high demand for skills and professionals across sectors. Graduates with a BBA in Data Science & AI degree enjoy great career opportunities across industries such as tech, healthcare, corporate, retail, and e-commerce.
Yes, the BBA Artificial Intelligence eligibility criteria do not specify a specific subject domain to pursue the course. Therefore, all students who have completed 10+2 are eligible for admission to the BBA in AI and Data Science course. However, students may have to appear for entrance examinations such as UPESMET-UG, UGAT, or CUET.
Yes, after completing BBA AI and Data Analytics, you can pursue post-graduation or an MBA in a similar stream or any other stream. Students with a postgraduate degree have higher chances of securing higher-paying placement opportunities, along with gaining in-depth conceptual and practical understanding of data analytics and AI concepts for business use.
