BBA - Artificial Intelligence and Data Science

Programme Overview

The Artificial Intelligence & Data Science programme prepares students for data-driven and AI-enabled business environments. It integrates management education with advanced concepts in artificial intelligence and data science, enabling graduates to analyse complex problems and support intelligent decision-making across business functions. The programme emphasises digital proficiency, analytical thinking, and responsible AI practices.

Why This Programme Stands Out

  • Faculty mentoring and academic guidance focused on AI-enabled business careers
  • Experiential learning through AI labs, real-world datasets, projects, and internships
  • Opportunities to participate in intra-university fests and inter-university academic and professional events
  • Regular expert lectures, workshops, and seminars on AI, analytics, and emerging technologies
  • Collaboration with Face Prep Campus to support industry-relevant training, aptitude development, and employability enhancement
  • Access to value-added and certificate courses aligned with analytics, AI, and digital transformation roles

Competencies You Will Build

AI & Data Science Skills

  • Data analysis, modelling, and interpretation
  • Application of machine learning and AI tools
  • Big data and cloud analytics awareness
  • Business intelligence and data-driven decision support

Professional & Transferable Skills

  • Analytical and critical thinking
  • Problem-solving and strategic reasoning
  • Ethical and responsible use of AI
  • Professional communication and teamwork
  • Adaptability and lifelong learning mindset

Career Pathways

Career Opportunities

  • Data Analyst / Business Analyst (Entry Level)
  • AI-Assisted Business Analyst
  • Analytics and Business Intelligence Executive
  • Operations, Marketing, or HR Analytics Executive
  • Digital Transformation and Consulting Associate

Eligibility Criteria:

Candidates who have completed Higher Secondary (10+2 / PUC) or Equivalent with an aggregate of 40% or an equivalent CGPA are eligible.

BBA - Artificial Intelligence and Data Science - Curriculum Structure

Semester I Semester II Semester III Semester IV Semester V Semester VI Semester VII Semester VIII
Principles of Data Science Supervised and Unsupervised Learning in Management Advanced Business Accounting Generative Artificial Intelligence and Business Applications Graph Theory and Network Thinking for Management Management and Cost Accounting Quantum Finance Business Data Analysis & Visualization
Business Accounting Quantitative Methods and Techniques System and Solution Thinking for Management Big Data Architecture for Business Solutions Income Tax Law and Practices Goods and Service Taxes Corporate Governance and Sustainability Cloud Foundations for AI & Analytics
Applied Artificial Intelligence in Business Optimizing User Engagement in Business Systems Optimization Technique for Management Human Resource Management Research Methodology Artificial Neural Network and Deep Learning Agentic AI for Business Intelligence Database Systems & SQL for Analytics
Language across Contexts: Communication, Critique and the Self General English Data Visualization using Artificial Intelligence Tools Workforce Management Predictive Modelling for Business Strategy Recommendation Algorithms and Business Intelligence Advanced Feature Engineering Dissertation
Kannada Sambhrama I Second Language Entrepreneurship Development Aptitude Skills for Managers Natural Language Processing for Management Responsible Artificial Intelligence Advanced Research Methodology  
Prabandhan Koustubha Multidisciplinary Course Advanced Spreadsheet Indian Knowledge System Summer Internship Research Project    
Foundational English Language Skills Personal Finance and Investment Planning Environmental Science          
Business Communication Understanding India            
Health and Wellness              

Programme Specific Outcomes

After the successful completion of the programme, students will be able to:
PSO1: Demonstrate knowledge of business management, accounting, data science, artificial intelligence, and machine learning.
PSO2: Exhibit proficiency in quantitative methods, data science, and machine learning algorithms for business process optimisation.
PSO3: Apply machine learning models for data-driven business strategies across business functions.
PSO4: formulate ethical and systematic research in Business and Management