Data Science & AI

Data Science & AI - (Academic–Industry Partner: EY India)

Program details

The BBA in Data Science & Artificial Intelligence, offered in academic 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.

The program blends core business education with applied data science and artificial intelligence, 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 and 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, supported by real-world case studies and tool-based learning.

Program Highlights

  • Industry-integrated curriculum with EY-designed and EY-delivered specialisation modules
  • 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-centric 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

Business decision-making is increasingly shaped by data, analytics, and artificial intelligence, making analytical capability a core managerial skill across industries. Organisations are moving beyond descriptive reporting to predictive and AI-driven insights to improve performance in marketing, finance, operations, and strategy. Technologies such as machine learning, intelligent automation, and Generative AI are accelerating digital transformation, while growing regulatory focus on data governance, ethics, and responsible AI is redefining how data is used in business. This evolving landscape is driving strong demand for professionals who can combine business understanding with analytics and AI expertise, positioning graduates of this program for high relevance in the digital economy.

Graduates are prepared for roles such as Business Analyst, Data Analyst, Business Intelligence (BI) Analyst, Marketing & Customer Analytics Specialist, AI Business or Strategy Associate, Operations & Supply Chain Analytics Analyst, and Risk, Compliance & Responsible AI Analyst. Career opportunities 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 & Artificial Intelligence offers strong placement prospects supported by its industry-integrated curriculum and EY-led specialisation modules. Students graduate with practical exposure to business analytics, data visualisation, predictive modelling, and AI strategy, making them well-prepared for entry-level analytics and strategy roles across sectors.

Graduates are recruited by consulting firms, IT and analytics companies, BFSI organisations, consumer-facing enterprises, and large corporates for roles aligned to business analytics, intelligence, digital strategy, and AI-enabled decision support, with clear pathways for growth into advanced analytics, consulting, and leadership roles.

Fee Structure

Click here for detailed Fee Structure.

Curriculum

Semester 1

CourseLTPCredit
Principles and Practices of 
Management
3003
Business Economics 13003
Business Mathematics3003
Business Accounting3003
Business Communication 3003
Organizational Behavior3003
Business Environment2002
Living Conversations2002
Environment Sustainability & 
Climate Change (Theory)
2002
TOTAL   24
,

Semester 2

CourseLTPCredit
Business Economics 23003
Business Statistics3003
Financial Management3003
Marketing Management3003
Technologies of the future2002
Human Resource Management3003
Operations Management3003
Critical Thinking & Writing2002
Environment Sustainability & 
Climate Change (living lab)
0042
Community Engagement and 
Social Internship
2002
TOTAL   26
,

Semester 3

CourseLTPCredit
Spreadsheet Modelling2023
Data Environment3003
Business Ethics and CSR2002
Global Context of Business 1001
Data Management2023
Research Methodology & 
Report Writing
3003
Consumer Behaviour & 
Market Research
3003
Minor/Exploratory I3003
Meta 1011001
Working with Data2002
TOTAL   24
,

Semester 4

CourseLTPCredit
Web Analytics2023
Advanced Statistics3003
Specialization Paper I 
(Specialization 1: Programing 
for Analytics, Course: Overview 
of Programing for Analytics 2: 
Big Data Analytics and Mining, 
Course: Big Data Analytics)
3003
Industrial Visit0021
Minor/Exploratory II3003
Minor/Exploratory III3003
Environmental, Social and Governance3003
Business Analytics2023
Design Thinking2002
TOTAL   24
,

Semester 5

CourseLTPCredit
Text Mining2023
Specialisation Paper II 
(Speacialization 1: Programing
 for Analyitcs, Course: Data 
Visualization 2: Big Data Analytics
and Mining, Course: Data Mining)
3003
Business Intelligence2023
Project Management3003
Minor/Exploratory IV3003
Minor/Exploratory V3003
Dissertation I0002
Summer Internship 0002
Predictive Modeling2023
Essentials of Strategic Management3003
Leadership and Teamwork2002
TOTAL   30
,

Semester 6

CourseLTPCredit
Data Preparation3003
Dissertation II0004
Minor/Exploratory VI3003
Start your Start-up2002
TOTAL   12

Eligibility

  • 10+2 in any stream (Commerce / Science / Humanities)
  • Basic mathematics at the school level
  • No prior programming or analytics experience required

Selection Criteria

  • Academic performance in 10+2
  • University-level aptitude or entrance assessment (as applicable)
  • Personal interview (if required by university norms)

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