B.Sc Artificial Intelligence and Machine Learning

Programme Overview

The Bachelor of Science in Artificial Intelligence and Machine Learning (AI/ML) at Kristu Jayanti is a four-year honours degree designed to prepare students for the rapidly advancing world of intelligent technologies and data-driven innovation. The programme blends strong foundations in computer science, mathematics, and statistics with advanced training in machine learning, deep learning, natural language processing, computer vision, and data analytics. Through academic alliances with Celonis, Qlik, and UiPath Agentic Automation, students gain exposure to real-world AI models, automation frameworks, and data intelligence tools, enhancing their technical proficiency, analytical capability, and industry readiness. The curriculum emphasises hands-on learning through projects, case studies, and simulations that develop analytical thinking, model-building, and problem-solving abilities essential for AI-driven environments. Graduates are equipped for a wide range of roles such as AI Engineer, Machine Learning Developer, Data Scientist, Research Analyst, AI Consultant, Automation Engineer, and Product Developer. The programme empowers students to become innovators capable of designing intelligent systems that shape the future of automation and digital transformation, with ample scope for higher studies and professional certifications.

The B.Sc. Programme is a four-year degree programme, wherein a student, after successful completion, will be awarded an Honours degree. However, a student has the option to exit the programme after successful completion of the first three years. In such a case, the student will be awarded a Bachelor’s degree.

Eligibility Criteria

Any candidate who has passed PUC/10+2/ equivalent in Computer Science and Mathematics, securing a minimum of 40% of marks, is eligible.

Programme Outcomes (PO)

• PO1: apply critical inquiry, innovative thinking and evidence-based research to solve complex problems.
• PO2: formulate informed decisions based on factual evidence and reasoned judgement.
• PO3: demonstrate professional competencies, ethical conduct, emotional intelligence and fluency in emerging technologies in a dynamic global environment.
• PO4: Exhibit self-discipline, autonomy, responsibility and accountability for personal well-being and a commitment to lifelong learning.
• PO5: Lead and communicate with multi-cultural teams, demonstrating empathy and mutual respect in the workplace and public sphere.
• PO6: Involve in community development for nation-building by advocating sustainable practices, embodying Indian ethos and upholding universal human values.

Programme Specific Outcomes (PSO)

• 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.

Programme Matrix – B.Sc Artificial Intelligence & Machine Learning

Key Courses

Semester I

• C Programming (Theory & Practical)
• Relational Database Management System (Theory & Practical)
• Matrix Theory and Calculus

Semester II

• Data Structures
• Probability & Statistics
• Operating System & Networks
• Artificial Intelligence Fundamentals
• Web Development Workflow

Semester III

• Object-Oriented Programming with Java
• AI & ML Fundamentals
• Calculus & Linear Algebra
• NPTEL Certification

Semester IV

• Python Programming
• Statistical Inference
• Cloud Computing Techniques

Semester V

• Machine Learning Techniques
• DevOps & MLOps
• Research Methodology
• Optimization Techniques
• Minor Project–II
• Internship

Semester VI

• Natural Language Processing
• IoT and Edge Analytics
• Generative AI & Prompt Engineering
• Capstone Project