B. Sc. Artificial Intelligence and Machine Learning

The B.Sc in Artificial Intelligence and Machine Learning (AI/ML) is a four-year (eight-semester) Honours degree programme 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 industry leaders in the field, 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 emphasizes hands-on learning through projects, case studies, and simulations that develop analytical thinking, model-building and problem-solving abilities essential for AI-driven environments.

Eligibility Candidates who have completed Higher Secondary (10+2 / PUC) or Equivalent, in Science and should have studied Mathematics as a subject with an aggregate of 40% or an equivalent CGPA are eligible.

  Course Matrix

Semester

Course Title

Course Type

Credits

I

C Programming

DSC

4

I

C Programming Practical

DSC

2

I

Relational Database Management System

DSC

4

I

Relational Database Management  Practical

DSC

2

I

Mathematical Foundation for AI/ML

DSC

4

II

Data Structure

DSC

4

II

Data Structure Practical

DSC

2

II

Probability Statistics using R

DSC

4

II

Probability Statistics using R Practical

DSC

2

II

Operating System and Networks

DSC

4

III

Java Programming

DSC

4

III

Java Programming Practical

DSC

2

III

Calculus & Linear Algebra

DSC

4

III

Calculus & Linear Algebra Practical

DSC

2

III

Artificial Intelligence & Machine Learning Fundamentals

DSC

4

III

NPTEL

SEC

2

IV

Python Programming

DSC

4

IV

Python Programming Practical

DSC

2

IV

Statistical Inference

DSC

4

IV

Statistical Inference Practical

DSC

2

IV

Cloud Computing Techniques

DSC

4

IV

Online Certificate Course

SEC

2

V

Machine Learning Techniques

DSC

4

V

Machine Learning Techniques Practical

DSC

2

V

DevOps and MLOps

DSC

4

V

DevOps and MLOps Practical

DSC

2

V

Research Methodology

DSC

4

V

Optimization Techniques

DSE

4

VI

Natural Language Processing

DSC

4

VI

Natural Language Processing Practical

DSC

2

VI

IoT and Edge Analytics

DSC

4

VI

IoT and Edge Analytics Practical

DSC

2

VI

Social Network Analysis

DSC

4

VI

Responsible AI

DSE

4

VI

Projects

DSE

4

 Programs Offered

  • BCA (Bachelor of Computer Applications)

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  • BCA with Analytics

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  • BCA Cloud Computing

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  • BCA Cyber Security

    •

  • BCA Internet of Things (IoT)

  • B.Sc. Data Science

  • B.Sc. Artificial Intelligence and Machine Learning

    •

      Curriculum

  • OBE Policy

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  • Programme Matrix

    •

  • Outcomes (PO, PSO, CO)

    •

     About Department

  • Faculty Profile

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  • Vision,Mission and Goals

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  • Faculty Achievements

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  • Students Achievements

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  • AICTE ATAL FDP

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    Computer Academy

  • Best Practices

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     Department Activities

  • Learning Level Identification Mechanism

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  • Value Added & Certificate Courses

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  • Career Opportunity

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  • Alumini

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  • Seminars & Workshops

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  • Conferences

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  • Campus Placement

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  • Research

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  • Commemorate

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  • Lecture Series

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  • Other Activities

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  • Extension Activity

  • Industrial Visits

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  • Social Outreach Programmes

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  • Faculty Development Program

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  • Computer Literacy Program

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  • Patent

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  • Newsletter

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  • Department Blog

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     Clubs and Forums

  • ACM Women chapter

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  • Google Developers Group

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  • CYFOCUS
    (Cybersecurity Forum of Computer Science)

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  • WiCyS
    (Women in Cybersecurity) Student Chapter

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  • Agentblazer Club

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  • Quantum Club

  • WiDS Club

  • Smartzone

  • UiPath Clubs

    •  Academic Support

  • Academic Alliances

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  • NPTEL Local chapter

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  • Learning Management System

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  • Student Research Forum

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    Admissions Open 2026–27: Enroll now for UG, PG, and Law programmes for the academic year 2026–27 Apply Now