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Home / School of Computational & Physical Sciences / Department of Computational Studies / B.Sc. Artificial Intelligence & Machine Learning
The B.Sc. Artificial Intelligence & Machine Learning programme develops expertise in AI programming, data analytics, ML, Deep Learning, and MLOps, preparing students to build and deploy intelligent solutions for real-world applications.
Through specialized courses in Generative AI, Prompt Engineering, Large Language Models (LLMs), Computer Vision, Natural Language Processing, and Edge Analytics, learners build cutting-edge intelligence systems. Supported by partnerships with IBM SkillsBuild and AIVORA community initiatives, students acquire hands-on mastery of neural network architectures and production MLOps workflows.
Build strong foundations in AI, supervised and unsupervised learning, predictive modelling, deep learning, and reinforcement learning using Python and modern AI frameworks.
Gain practical experience in Generative AI, Large Language Models (LLMs), Natural Language Processing, Computer Vision, and AI-powered application development.
Develop industry-ready skills in MLOps, cloud-based AI, model deployment, data engineering, and responsible AI, enabling students to build and deploy scalable intelligent solutions.
A three-year specialized degree building artificial intelligence, neural computing, and Generative AI competencies.
Programme: B.Sc. Artificial Intelligence & Machine Learning
Specialization: Emerging Technologies & Analytics
Duration: 3 Years (6 Semesters)
Study Mode: Full-Time Undergraduate Programme
Core Academic Focus: AI programming, Deep learning, Generative AI & LLMs, NLP, Computer vision, MLOps, IoT & Edge analytics, Prompt engineering, and Reinforcement learning
Practical Components: Skills Studio, IBM SkillsBuild AI Fundamentals, Celonis Academic Process Mining, AIVORA club workshops, AI model-building hackathons, GPU computing lab sessions, and capstone projects
Learning Pathway: Foundation → Domain Specialisation → Skill Development → Industry Exposure → Certification → Capstone/Project → Research & Innovation → Career/Entrepreneurship
Comprehensive semester-wise course distribution covering deep learning, NLP, computer vision, Generative AI, and MLOps engineering.
Review the mandatory academic qualifications and minimum score criteria required for admission.
For admission to the B.Sc. Artificial Intelligence & Machine Learning programme, candidates must satisfy the following academic prerequisites:
Looking for a programme that matches your interests?
Find Programmes by InterestTargeted competencies and practical mastery achieved by graduates throughout their academic journey.
PSO1: Demonstrate knowledge of computing, algorithms, programming, data structures, database, networks, operating systems, intelligent systems, quantitative methods and techniques.
PSO2: Apply intelligent agents, search algorithms, inferencing techniques, data driven models and computational methodologies in practical settings.
PSO3: Develop scalable intelligent models to assess performance and bias.
PSO4: Formulate solutions based on systematic research in intelligent system.
Key strengths, experiential learning, and strategic career advantages offered by the programme.
Artificial intelligence and machine learning are revolutionizing industries by enabling automated decision-making, natural language understanding, autonomous systems, and generative intelligence. Developing ethical, scalable AI solutions requires a strong multidisciplinary foundation.
The B.Sc. in AI & ML programme at Kristu Jayanti University offers deep immersion in machine learning algorithms, deep neural networks, computer vision, natural language processing, and AI ethics.
Choosing this programme enables students to:
With intensive laboratory training and collaborative research exposure, graduates are poised to drive the next wave of technological innovation in artificial intelligence.