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B.Sc. (Hons.) in Mathematics

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B.Sc. (Hons.) in Mathematics

   Department of Mathematics & Statistics

Programme Level

Under Graduate

Duration

3 years

About the Programme

This is a three year, undergraduate degree program designed to build a strong foundation in mathematical theory, analytical reasoning, and computational skills. The curriculum integrates classical areas such as algebra, calculus, analysis, and differential equations with modern applications in data science, optimization, artificial intelligence, and computational mathematics. Emphasizing interdisciplinary learning, the program includes electives from financial mathematics, coding theory, and machine learning, along with hands-on training in Python, statistical tools, and mathematical modelling. Students engage in project work, internships, and an in-depth research dissertation in their final year, fostering critical thinking and innovation. Graduates are well-prepared for advanced studies, academic research, or careers in industry, finance, and technology sectors.

Eligibility

Class XII with Science, including Mathematics as one of the subject, with a minimum aggregate of 50% marks.

Students with a CUET / SAT (DI Code - 71057 ) score will be given preference in the merit list
For Migration from Other Universities:
1) B.Sc (Hons/Hons with Research) in Maths Ist yr. minimum 50% marks or equivalent
2) XIIth with mathematics as one of the subjects with minimum 50% marks in aggregate

Fee Structure

Duration
3 Years
Tuition Fee (per annum)
50,000
Exam Fee (per annum)
20,000

Program Structure

Program Structure

Programme Objectives

01

Demonstrate the comprehensive knowledge of physical sciences and Mathematics.


02

Develop the ability to evaluate theories, methods, principles and applications of physical sciences and Mathematics.


03

Identify, formulate and resolve the emerging challenges based on design, experiment, data interpretation and analysis of results.


04

Design a system, component, or methods to meet desired needs within realistic constraints such as environmental, health, safety, manufacturability, and sustainability.


05

Develop the skills in using modern tools for design and analysis of scientific and societal problems.


06

Work in teams on multi-disciplinary projects in research organizations and industries and present the report in a full scientific approach with professional ethics.


07

Build up communication skills, both written and oral, to specialized and non-specialized audiences.


08

Develop the ability to critically evaluate theories, methods, principles, and applications of pure and applied science in multidisciplinary domain with the lifelong learning approach.


Programme Outcomes

01

Critical thinking and analytical reasoning: Acquire ability of critical thinking and logical reasoning and capability of recognizing and distinguishing the various aspects of real life problems.


02

Conduct investigations of complex research problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.


03

Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern scientific and IT tools including prediction and modelling to complex scientific activities with an understanding of the limitations.


04

Communication: Communicate effectively on scientific activities with the community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.


05

Environment and sustainability: Understand the impact of the professional scientific solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.


06

Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the scientific practice.


07

Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.


08

Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.


Programme Educational Objectives

01

To prepare scientific graduates for a lifetime learning in an interdisciplinary and multidisciplinary context, demonstrating quality of excellence, critical thinking, originality, inventiveness, and self-motivation.


02

To prepare graduates with the abilities necessary for diverse professional endeavours who are accepted for employment in various government, business, and research organizations.


03

To prepare graduates with problem solving ability to show excellence in the field of science that will both advance their personal accomplishments and benefit society as a whole.


04

To prepare graduates capable of moral leadership and teamwork in achieving individual and organizational objectives.


Programme Specific Outcomes (PSOs)

01

Disciplinary Knowledge: Apply the knowledge of mathematical concepts and applications in the field of algebra, analysis, computational techniques, optimization, differential equations, engineering, Data science and several other branches of pure & applied mathematics to the solution of complex problems.


02

Problem Analysing: Develop an ability to analyse the problems, identify and define appropriate computing requirements for its solutions and enhances overall development and also equip with mathematical modelling ability, problem solving skills.


03

Formulation and Design: Handle the advanced techniques in algebra, analysis, computational techniques, optimization, differential equations, engineering, Data Science, Computational mathematics to analyse and design algorithms solving variety of problems related to real life problems.


Apply Now

Class XII with Science, including Mathematics as one of the subject, with a minimum aggregate of 50% marks.

Students with a CUET / SAT (DI Code - 71057 ) score will be given preference in the merit list
For Migration from Other Universities:
1) B.Sc (Hons/Hons with Research) in Maths Ist yr. minimum 50% marks or equivalent
2) XIIth with mathematics as one of the subjects with minimum 50% marks in aggregate