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Course Commencement

Course Commencement

2026-27 Academic Year

Duration

Duration

3 - 5 Years

Eligibility

Eligibility

Qualified Class 12 in any discipline

B.Sc. / B.Sc. (Hons) / iMSc – Mathematics & Computing

JG University’s B.Sc. / B.Sc. (Hons) / iMSc in Mathematics & Computing is structured to build strong mathematical foundations combined with modern computational techniques. The B.Sc. is a 3-year programme, B.Sc. (Hons) is a 4-year, 8-semester programme with an exit option after the third year, and the iMSc pathway enables students to seamlessly progress toward a Master’s degree. The programme integrates advanced mathematics, statistics, data analytics, algorithms, programming, and computational modeling with problem-solving sessions, coding labs, and applied projects. Students gain practical exposure through research assignments and applied projects developing analytical and computational skills. Guided by experienced mathematicians, statisticians, and computational science experts, the curriculum emphasizes logical reasoning, analytical skills, and quantitative decision-making. The objective is to prepare highly skilled professionals and “Whole Brain Change Makers” capable of solving complex real-world problems through mathematical and computational expertise.

BSc Hons iMSc Forensic Science Technology

Fee Structure

fee

Tuition Fee Per Semester

₹ 60,000/- (Sixty Thousand Only) – First Three Years

₹ 70,000/- (Seventy Thousand Only) – Last Year of Honours Degree

₹ 70,000/- (Seventy Thousand Only) – Last Two Years of iMSc Degree

Eligibility

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.

The candidate must have obtained the following minimum aggregate marks (grand total) at the above qualifying examination.

For open category candidates 45%

For reserved category candidates 40%

Programme Highlights

NEP 2020

Programme designed as per National Education Policy 2020 with multiple exit options

Curriculum

Integration of advanced mathematics, statistics, data analytics, algorithms, programming, and computational modeling

Lab Work

Problem-solving sessions, coding labs, and applied projects throughout the programme

Capstone

Research assignments and applied projects developing analytical and computational skills

IIT IIM

Logical reasoning, analytical skills, and quantitative decision-making

Skills

Guidance from experienced mathematicians, statisticians, and computational science experts

Exit Options

Flexible exit options as per National Education Policy

  • 3 years – B.Sc. degree
  • 4 years – B.Sc. (Hons) degree
  • 5 years – Integrated M.Sc. (iMSc) degree

Objectives

Build strong mathematical foundations with modern computational techniques

Integrate advanced mathematics, statistics, data analytics, algorithms, and computational modeling

Develop logical reasoning, analytical skills, and quantitative decision-making abilities

Provide practical exposure through problem-solving, coding labs, and applied research

Cultivate research aptitude and applied mathematical thinking

Prepare highly skilled professionals and “Whole Brain Change Makers” capable of solving complex problems

Outcomes

Strong mathematical proficiency in advanced mathematics, statistics, algorithms, and computational methods

Programming skills and data analytics competence for computational problem-solving

Ability to develop computational models and apply quantitative methods

Logical reasoning, analytical thinking, and research aptitude

Readiness for careers in data science, actuarial science, financial analytics, research, and technology

Capacity to solve complex real-world problems through mathematical and computational expertise

Advantages

Module-Based Learning

Module-Based Learning

Structured modules covering advanced mathematics, statistics, data analytics, algorithms, and computational modeling

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

Admission Process

Our Admission process enables us to meticulously give importance to every individual applying. The admission of the applicant will majorly be based on our admission process scores.