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 programme integrates subjects such as advanced mathematics, statistics, data analytics, algorithms, programming, and computational modeling. Students gain practical exposure through problem-solving sessions, coding labs, research assignments, and applied projects. The B.Sc. is a 3-year programme, B.Sc. (Hons) extends to 4 years with an exit option after the third year, and the iMSc pathway allows progression toward a Master's degree. 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 using mathematical and computational tools.

BSc Hons iMSc Mathematics Computing

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

Core Subjects

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

Coding Labs

Problem-solving sessions, coding labs, and applied projects blending mathematical theory with computing practice

Research Assignments

Research assignments and applied projects developing analytical and computational skills

Logical Reasoning

Emphasis on logical reasoning, analytical skills, and quantitative decision-making for real-world problem solving

Expert Faculty

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 – iMSc degree

Objectives

Build strong mathematical foundations combined with modern computational techniques and programming skills

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

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

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

Cultivate research aptitude and applied mathematical thinking for industry and academia

Prepare highly skilled professionals and "Whole Brain Change Makers" capable of solving complex real-world problems using mathematical and computational tools

Outcomes

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

Programming skills and data analytics competence for applied problem solving and decision-making

Ability to develop computational models and apply quantitative methods to real-world challenges

Logical reasoning, analytical thinking, and research aptitude developed through applied projects and lab work

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

Capacity to solve complex real-world problems using advanced mathematical and computational tools

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 mathematics and computing curriculum developed by mathematicians and computational scientists

Campus Network

Campus Network

Exposure to diverse peers, mathematicians, statisticians, and computational science practitioners

Applied Projects

Applied Projects

Problem-solving sessions, coding labs, and applied research projects providing hands-on mathematical computing experience

Research Assignments

Research Assignments

Research assignments developing advanced mathematical analysis and computational modeling competence

Career Opportunities

Career Opportunities

Diverse career pathways in data science, actuarial science, financial analytics, research, and technology sectors

Lab Exercises

Lab Exercises

Coding laboratories and computational environments for applied mathematics and programming education

Incubation Support

Incubation Support

Support for analytics, fintech, and computational technology startups at various development stages

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.