4 Years
This four-year interdisciplinary programme builds a strong foundation in core Mathematics, Statistics, and Data Science, enabling students to analyze real-world data and solve complex problems. The curriculum covers advanced mathematics, probability, multivariate statistics, algebra, calculus, discrete mathematics, operations research, and computational methods essential for modern data-driven industries. Students gain exposure to research, modelling, and industry applications through practical projects, internships, and analytical tools, preparing them for careers in Data Science, AI, research, and higher education.
What Students Will Learn
Strong conceptual foundation in pure & applied mathematics Analytical and problem-solving skills using mathematical & statistical tools Knowledge of advanced algebra, mathematical methods, calculus, probability, multivariate statistics
Exposure to research, modelling & interdisciplinary applications
Eligibility Criteria
10+2 with Mathematics and 50%, plus GLAET score
For B Tech Students On the basis of PCM percentage
Candidates eligible for scholarship on the basis of Physics, Chemistry & Mathematics percentage at 10+2 level as mentioned below:
Note: The scholarship amount received in the first year will be applicable for all subsequent years. The student must maintain a minimum CPI of 8.00 to avail the scholarship in the next year of his/her studies.
B.Sc. Mathematics (Hons. / By Research) with Specialization in Data Science
4 Years
This four-year interdisciplinary programme builds a strong foundation in core Mathematics, Statistics, and Data Science, enabling students to analyze real-world data and solve complex problems. The curriculum covers advanced mathematics, probability, multivariate statistics, algebra, calculus, discrete mathematics, operations research, and computational methods essential for modern data-driven industries. Students gain exposure to research, modelling, and industry applications through practical projects, internships, and analytical tools, preparing them for careers in Data Science, AI, research, and higher education.
What Students Will Learn
Strong conceptual foundation in pure & applied mathematics Analytical and problem-solving skills using mathematical & statistical tools Knowledge of advanced algebra, mathematical methods, calculus, probability, multivariate statistics
Exposure to research, modelling & interdisciplinary applications
Eligibility Criteria
10+2 with Mathematics and 50%, plus GLAET score
GLdvantage
The M.Sc. Mathematics programme at GLA University is designed to develop advanced knowledge in manufacturing systems, production processes and industrial engineering practices.
The programme builds a solid understanding of core areas of mathematics such as algebra, calculus, differential equations, probability, and statistics.
Students are introduced to the fundamentals of data science, enabling them to understand how mathematical models are used to analyse and interpret data.
The Honours / By Research option allows students to explore advanced topics in mathematics and undertake guided research in their final year.
The curriculum emphasises the practical application of mathematical techniques in areas such as data analysis, computational methods, and problem solving.
The programme prepares students for higher studies in mathematics, statistics, data science, and related interdisciplinary fields.
Graduates of this programme can explore opportunities across sectors that require strong analytical and quantitative skills.
B.Tech ECE graduates in the government sector can pursue careers in PSUs, Defense & Space, Telecom, Research, Railways, and Civil Services, with key
roles like Scientist, Engineer, Technical Officer, JE, often requiring competitive exams like GATE, ESE, or specific PSU tests for roles in R&D, infrastructure, and defense technology.
B.Tech ECE graduates in the private sector can pursue core electronics roles (VLSI, Embedded Systems, Telecom, RF Engineering, Electronics Design),
IT/Software jobs (Software Developer, AI/ML Engineer, Data Analyst), and emerging tech fields like Robotics and IoT, with top recruiters including major IT firms. Key paths involve Hardware/Software roles, R&D, and Network Engineering, focusing on areas like signal processing, systems, and automation for diverse opportunities in tech giants and startups.
Our researchers pushing the frontiers of knowledge and discovery to explore complex problems and find solutions.
Patents
Published
Research
Centres
Publications in
SCI & Scopus
Demonstrate a strong understanding of fundamental mathematical concepts and theories.
Apply mathematical methods and statistical techniques to analyse and interpret data.
Use computational tools and analytical approaches for solving quantitative problems.
Develop logical reasoning and critical thinking skills in mathematical problem solving.
Communicate mathematical ideas and analytical results effectively in written and verbal forms.
Work independently as well as collaboratively while solving mathematical and data related problems.
Demonstrate the ability to pursue advanced studies or professional careers in mathematics, statistics, and data science.
Apply ethical and responsible practices while handling data and research activities.
Develop graduates with a thorough understanding of mathematical concepts, principles, and analytical methods.
Prepare students to apply mathematical and statistical techniques to solve problems related to data analysis and interpretation.
Foster the ability to approach complex problems using logical reasoning and mathematical modelling.
Equip students with the knowledge and skills required for postgraduate studies and research in mathematics, data science, and related disciplines.
Apply mathematical models and analytical techniques to solve real world quantitative problems.
Use statistical methods and mathematical tools to interpret and analyse data effectively.
Apply computational approaches to mathematical and data driven challenges.
For Honours / By Research students, undertake guided research projects to explore advanced mathematical concepts and applications.
B.Sc. Mathematics (Hons. by Research) with specialization in Data Science is an advanced undergraduate program designed to build strong mathematical foundations along with modern data-driven analytical skills. The course focuses on areas such as statistics, probability, linear algebra, and data science techniques, enabling students to analyze complex data and derive meaningful insights for real-world applications.
The program emphasizes a blend of theoretical knowledge and practical learning through projects, coding, and research-based assignments. Students gain hands-on experience with data analysis tools, statistical modeling, and machine learning concepts while working under expert faculty guidance. The research-oriented approach enhances critical thinking and problem-solving abilities, preparing graduates for careers in analytics, technology, and research domains.
These activities are organized through student clubs, departmental societies, university festivals, and regular institutional programs. Typical categories and representative examples
Register online by filling in your basic details on the admission portal.
https://
student.glauniversity.in/
Main/Admission
That’s it — your journey with GLA begins here.
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Open for admission year 2026-27
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17km Stone, NH-19, Mathura-Delhi Road, P.O.
Chaumuhan, Mathura-281 406, (U.P.) INDIA
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