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PROGRAMS

Bachelor of Technology in Computer Science & Engineering (Artificial Intelligence & Machine Learning)

PROGRAM LEVEL
Graduate
DURATION
4 Years
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About the Programme

The The B.Tech. in Computer Science & Engineering (Artificial Intelligence & Machine Learning) (Single Major) is an undergraduate engineering programme designed to develop students' knowledge and skills in computer science, programming, artificial intelligence, and machine learning. The programme focuses on designing and developing computer programs and solving complex computational problems related to algorithms, networking, web design, and cloud computing.

The curriculum emphasizes engineering fundamentals, mathematical and scientific principles, programming skills, research-based learning, and the use of modern engineering and IT tools. Students develop the ability to analyze problems, design computational solutions, interpret data, and apply technical knowledge to real-world challenges.

GKU

Eligibility Criteria

  • 10+2 with PCM (Physics, Chemistry, Mathematics).
  • Minimum 50% aggregate (45% for reserved categories).
  • Eligible candidates may apply for admission to the first semester of the undergraduate programme.

Syllabus

B.Tech. (Artificial Intelligence & Machine Learning) (AIML)
  • 2026-2027
    pdf
  • 2024
    pdf

Program Outcomes

Computer Science & Programming Skills

Develop programming skills and the ability to design and develop computer-based solutions using appropriate computational methods.

Artificial Intelligence & Machine Learning

Build a foundation for applying computational and mathematical techniques to intelligent systems and machine learning problems.

Problem Analysis

Identify, formulate, and analyze complex engineering problems using mathematics, natural sciences, and engineering fundamentals.

Design & Development

Design and develop solutions for computer-based systems involving algorithms, networking, web technologies, and cloud computing.

Research & Data Analysis

Apply research-based knowledge, design experiments, analyze and interpret data, and draw valid conclusions.

Modern Engineering Tools

Select and use appropriate engineering and IT tools, techniques, and resources for modelling, prediction, and problem-solving.

Ethical & Professional Responsibility

Apply ethical principles and professional standards while considering societal, environmental, legal, health, and safety responsibilities.

Communication & Teamwork

Communicate technical information effectively and work independently or collaboratively in multidisciplinary teams.

Project Management

Understand engineering and management principles and apply them to project planning, coordination, and execution.

Sustainability & Lifelong Learning

Recognize the importance of sustainable development and continuously update technical knowledge in response to evolving technologies.

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Programme Educational Objectives (PEO)

01

Develop graduates with a strong foundation in computer science, engineering fundamentals, programming, and emerging AI and ML technologies.

02

Prepare graduates to identify, analyze, and solve complex engineering problems using computational and analytical approaches.

03

Equip students with technical, communication, teamwork, and project management skills for professional careers in the technology sector.

04

Encourage research, innovation, independent learning, and the development of technology-driven entrepreneurial initiatives.

05

Promote ethical engineering practices, environmental awareness, sustainability, and responsible application of technology.

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Career path you can
choose after the course

  • AI/ML Engineer
  • Software Developer
  • Computer Programmer
  • Data Analyst
  • Junior Data Scientist
  • Cloud AI Developer
  • Automation Engineer
  • AI Product Manager
  • University Faculty/Researcher
  • Entrepreneur in AI/ML Solutions
GKU

Students of this programme are placed in companies with an
average annual package of 3.51 LPA to 12.00 LPA

BROWSE BY
Graduate

Graduate

Post Graduate

Post Graduate

Doctoral

Doctoral

Diploma

Diploma

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