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.
3 Months
Qualified Class 12 in any discipline
Flutter is an open-source mobile application development framework that allows developers to build high-performance, visually attractive, and responsive mobile apps for iOS and Android platforms. Flutter has a modern and expressive language, Hot Reload feature which allow developers to experiment, build UIs, add features, and fix bugs faster. It also has a rich set of customizable widgets that can be used to build natively compiled applications for mobile, web, and desktop from a single codebase.
Fee structure for Mobile Applications
Working IT professionals
3 Months
For open category candidates 45%
For reserved category candidates 40%
Programme designed as per National Education Policy 2020
Curriculum for Mobile Applications
Hands-on laboratory work, coding practice, and project-based learning throughout the programme
Capstone projects, industrial immersion programmes, live assignments, and internships
Academic inspiration from premier institutions like IITs and IIMs with research-driven insights
Emphasis on analytical thinking, problem-solving, innovation, and data-driven decision-making
Flexible exit options as per National Education Policy
Objectives for Mobile Applications
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
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
Structured modules covering AI, ML, data science, and computing fundamentals for progressive learning
Industry-aligned curriculum developed by AI and ML experts reflecting the latest technological advancements
Exposure to diverse peers, technology mentors, and AI industry practitioners
Industrial immersion programmes and internships providing real-world AI and ML experience
Hands-on AI/ML projects and live assignments building professional competence and confidence
Employable opportunities through industry adoption across AI and technology sectors
State-of-the-art laboratory facilities and coding practice environments for applied learning
Support for AI-driven and technology startups at various stages of development
Our doors are always open for the lifelong learner in you, with special advantage as a JGiet