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Course Commencement

Course Commencement

The students seeking admission in the B.Tech-Computer Science & Engineering.

Duration

Duration

Shall have appeared for GUJCET/JEE.

Eligibility

Eligibility

Qualified Class 12

B.Tech - Computer Science & Engineering

JG University's School of Engineering B.Tech-Computer Science and Engineering is a 4-year, 8-semester programme designed to equip students with comprehensive knowledge of computer science and information technology and prepare them to be industry ready. The curriculum covers topics such as programming languages, web design, algorithms, operating systems, computer architecture, computer networks, database systems, network and information security, web technologies, software engineering, network and information security, mobile application development, and cloud computing. The faculty members are highly experienced professionals and experts who bring practical experience and perspectives to the classroom. The programme prioritizes experiential learning, through internships, capstone projects, and other hands-on opportunities. The programme emphasizes developing critical thinking, problem-solving, and teamwork skills. which are essential in the IT field.

b-tech

Fee Structure

fee

Tuition Fee Per Semester

₹39,375/- (Thirty Nine Thousand Three Hundred and Seventy Five Only) as per FRC

Eligibility

The students seeking admission in the B.Tech-Computer Science & Engineering.

Shall have appeared for GUJCET/JEE.

For open-category candidates 45%

For reserved category candidates 40%

Programme Highlights

NEP 2020

Programme designed as per National Education Policy 2020

Curriculum

Comprehensive curriculum covering AI, machine learning, data science, and emerging technologies

Lab Work

Hands-on laboratory work, coding practice, and project-based learning throughout the programme

Capstone

Capstone projects, industrial immersion programmes, live assignments, and internships

IIT IIM

Academic inspiration from premier institutions like IITs and IIMs with research-driven insights

Skills

Emphasis on analytical thinking, problem-solving, innovation, and data-driven decision-making

Exit Options

Flexible exit options as per National Education Policy

  • 3 years – Diploma qualification
  • 5 years – Integrated B.Tech degree

Objectives

Provide comprehensive knowledge in computer science, artificial intelligence, machine learning, and data science

Combine strong theoretical foundations with practical application through laboratory work and project-based learning

Develop analytical thinking, innovation, and data-driven decision-making skills for AI careers

Nurture leadership, teamwork, communication skills, and ethical technology practices

Provide exposure to industrial immersion programmes and internships for real-world experience

Develop future-ready AI professionals and "Whole Brain Change Makers" who drive technological advancement

Outcomes

Proficiency in artificial intelligence, machine learning algorithms, and data science methodologies

Strong programming skills and hands-on experience with AI/ML frameworks and tools

Ability to design, build, and deploy intelligent systems and machine learning solutions

Analytical and data-driven decision-making skills for technology-driven industries

Readiness for careers in AI engineering, ML research, data science, and technology innovation

Capability to drive technological advancement and create meaningful societal impact

Advantages

Module-Based Learning

Module-Based Learning

Structured modules covering AI, ML, data science, and computing fundamentals for progressive learning

Cutting Edge Curriculum

Cutting Edge Curriculum

Industry-aligned curriculum developed by AI and ML experts reflecting the latest technological advancements

Campus Network

Campus Network

Exposure to diverse peers, technology mentors, and AI industry practitioners

Industry Exposure

Industry Exposure

Industrial immersion programmes and internships providing real-world AI and ML experience

Capstone Projects

Capstone Projects

Hands-on AI/ML projects and live assignments building professional competence and confidence

Industry Adoption

Industry Adoption

Employable opportunities through industry adoption across AI and technology sectors

Lab Exercises

Lab Exercises

State-of-the-art laboratory facilities and coding practice environments for applied learning

Incubation Support

Incubation Support

Support for AI-driven and technology startups at various stages of development

JGiet Status

JGiet Status

Our doors are always open for the lifelong learner in you, with special advantage as a JGiet

Course Commencement

Course Commencement

The students seeking admission in the B.Tech-Computer Science & Engineering.

Duration

Duration

Shall have appeared for GUJCET/JEE.

Eligibility

Eligibility

Qualified Class 12

B.Tech - Computer Science & Engineering

JG University's School of Engineering B.Tech-Computer Science and Engineering is a 4-year, 8-semester programme designed to equip students with comprehensive knowledge of computer science and information technology and prepare them to be industry ready. The curriculum covers topics such as programming languages, web design, algorithms, operating systems, computer architecture, computer networks, database systems, network and information security, web technologies, software engineering, network and information security, mobile application development, and cloud computing. The faculty members are highly experienced professionals and experts who bring practical experience and perspectives to the classroom. The programme prioritizes experiential learning, through internships, capstone projects, and other hands-on opportunities. The programme emphasizes developing critical thinking, problem-solving, and teamwork skills. which are essential in the IT field.

b-tech

Fee Structure

fee

Tuition Fee Per Semester

₹39,375/- (Thirty Nine Thousand Three Hundred and Seventy Five Only) as per FRC

Eligibility

The students seeking admission in the B.Tech-Computer Science & Engineering.

Shall have appeared for GUJCET/JEE.

For open-category candidates 45%

For reserved category candidates 40%

Programme Highlights

NEP 2020

Programme designed as per National Education Policy 2020

Curriculum

Comprehensive curriculum covering AI, machine learning, data science, and emerging technologies

Lab Work

Hands-on laboratory work, coding practice, and project-based learning throughout the programme

Capstone

Capstone projects, industrial immersion programmes, live assignments, and internships

IIT IIM

Academic inspiration from premier institutions like IITs and IIMs with research-driven insights

Skills

Emphasis on analytical thinking, problem-solving, innovation, and data-driven decision-making

Exit Options

Flexible exit options as per National Education Policy

  • 3 years – Diploma qualification
  • 5 years – Integrated B.Tech degree

Objectives

Provide comprehensive knowledge in computer science, artificial intelligence, machine learning, and data science

Combine strong theoretical foundations with practical application through laboratory work and project-based learning

Develop analytical thinking, innovation, and data-driven decision-making skills for AI careers

Nurture leadership, teamwork, communication skills, and ethical technology practices

Provide exposure to industrial immersion programmes and internships for real-world experience

Develop future-ready AI professionals and "Whole Brain Change Makers" who drive technological advancement

Outcomes

Proficiency in artificial intelligence, machine learning algorithms, and data science methodologies

Strong programming skills and hands-on experience with AI/ML frameworks and tools

Ability to design, build, and deploy intelligent systems and machine learning solutions

Analytical and data-driven decision-making skills for technology-driven industries

Readiness for careers in AI engineering, ML research, data science, and technology innovation

Capability to drive technological advancement and create meaningful societal impact

Advantages

Module-Based Learning

Module-Based Learning

Structured modules covering AI, ML, data science, and computing fundamentals for progressive learning

Cutting Edge Curriculum

Cutting Edge Curriculum

Industry-aligned curriculum developed by AI and ML experts reflecting the latest technological advancements

Campus Network

Campus Network

Exposure to diverse peers, technology mentors, and AI industry practitioners

Industry Exposure

Industry Exposure

Industrial immersion programmes and internships providing real-world AI and ML experience

Capstone Projects

Capstone Projects

Hands-on AI/ML projects and live assignments building professional competence and confidence

Industry Adoption

Industry Adoption

Employable opportunities through industry adoption across AI and technology sectors

Lab Exercises

Lab Exercises

State-of-the-art laboratory facilities and coding practice environments for applied learning

Incubation Support

Incubation Support

Support for AI-driven and technology startups at various stages of development

JGiet Status

JGiet Status

Our doors are always open for the lifelong learner in you, with special advantage as a JGiet