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The BBA – Artificial Intelligence and Data Science programme is designed to integrate the principles of business management with the rapidly evolving fields of Artificial Intelligence and Data Science. The programme enables students to understand business processes, analyse data and apply AI-driven approaches to business decision-making and problem-solving.
Its curriculum combines management education with areas such as Data Science, Applied Artificial Intelligence, Machine Learning, Data Visualisation, Generative AI, Big Data, Predictive Modelling, Natural Language Processing, Deep Learning, Business Intelligence and Responsible AI. Through this interdisciplinary approach, the programme prepares students to engage with technology-enabled business environments and develop analytical, problem-solving and managerial capabilities.
Brings together core business management education with Artificial Intelligence, Data Science, Machine Learning and quantitative techniques to address business problems through data-driven approaches.
Exposure to contemporary areas including Generative AI, Big Data Architecture, Predictive Modelling, NLP, Deep Learning, Recommendation Algorithms, Business Intelligence and Responsible AI.
Strengthened by an MOU with Faceprep, supporting career readiness, professional skills, and employability alongside structured internship (90 contact hours) and research projects (120 contact hours).
A structured four-year NEP honours pathway developing managerial problem-solving and modern AI-driven analytics.
Programme Title: Bachelor of Business Administration – Artificial Intelligence and Data Science
Specialization: Artificial Intelligence and Data Science
Duration: 3 Years / Optional 4th Year – BBA Honours under NEP 2020
Study Mode: Full-Time
Core Academic Focus Areas: Business Management, Data Science, Artificial Intelligence, Machine Learning, Statistics, Data Visualisation, Big Data, Generative AI, Predictive Modelling, Natural Language Processing, Deep Learning, Business Intelligence and Responsible AI
Practicals: AI and data-oriented applied learning, Internship (90 contact hours), and Research Project (120 contact hours)
Learning Pathway: Interdisciplinary learning across Business Management, AI and Data Science, supported by advanced/specialised courses, internship, research-based learning and industry-oriented development through the Faceprep MOU
Bachelor of Business Administration – Artificial Intelligence and Data Science — Semester-wise course matrix.
Review the mandatory academic qualifications and minimum score criteria required for admission.
For the UG programmes offered by the Department of Professional Management Studies, candidates must have passed Higher Secondary (10+2 / PUC) or an equivalent examination, with the programme-specific subject requirements where applicable.
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Find Programmes by InterestTargeted competencies and practical mastery achieved by graduates throughout their academic journey.
PSO1: Demonstrate knowledge of business administration, data science fundamentals, artificial intelligence concepts, and ethical considerations in emerging technologies.
PSO2: Apply statistical techniques, machine learning models, and data analytics tools to solve contemporary business problems and optimize operations.
PSO3: Evaluate business scenarios using AI-driven insights and quantitative frameworks to formulate strategic organizational decisions.
PSO4: Formulate ethical and systematic research in Business and Management.
Key strengths, experiential learning, and strategic career advantages offered by the programme.
Artificial Intelligence and Data Science are fundamentally reshaping modern enterprise management, optimizing decision-making, and transforming customer experiences across every industry sector.
The BBA in Artificial Intelligence and Data Science at Kristu Jayanti University is designed to develop forward-thinking professionals who combine strategic management knowledge with the practical capability to apply intelligent technology solutions.
Choosing this programme enables students to:
With a unique combination of management thinking and technological competence, graduates are prepared for high-demand roles across business analytics, technology consulting, and digital business leadership.