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Course Commencement

Course Commencement

The students seeking admission in the B.Sc. / B.Sc. (Hons) / iMSc programme shall have passed the HSC examination (Class 12) or equivalent from a recognized board.

Duration

Duration

BCA - 3 Years

Eligibility

Eligibility

Qualified Class 12 in any discipline

BCA

JG University’s BCA(Hons) is a four-year, eight-semester programme that offers an option to take an exit after the third year with a BCA degree. The programme is designed to provide students with a strong computer science and technology foundation and the ability to apply this knowledge to real-world problems. The curriculum includes courses in programming languages, data structures, algorithms, databases, computer networks, and software engineering. Students also gain exposure to emerging technologies such as AI, Machine Learning, Cloud Computing, Cybersecurity, and IoT, giving them an advantage in the job market as these are in-demand skills. The programme focuses on preparing students for the industry by developing their proficiency in the latest computing technologies, with an emphasis on experiential learning through capstone projects, workshops, and industrial internships. Additionally, the programme encourages and guides students to pursue research and development in computer and information technology to keep them updated with the latest innovations and developments in their field.

BSc Hons iMSc Forensic Science Technology

Fee Structure

fee

Tuition Fee Per Semester

₹ 40,000/- (Forty Thousand Only)

Eligibility

Eligibility for BCA

BCA - 3 Years

For open category candidates 45%

For reserved category candidates 40%

Programme Highlights

NEP 2020

Programme designed as per National Education Policy 2020

Curriculum

Curriculum for BCA

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

Objectives for BCA

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