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B.Sc. Mathematics - Data Science

Program details

The B.Sc. Mathematics in Data Science program offered by UPES School of Advanced Engineering provides students with a comprehensive foundation in mathematical, statistical, and computational techniques essential for excelling in the field of Data Science. This specialized program aims to equip students with the skills needed to create analytical solutions, extract valuable insights from complex datasets, and effectively collaborate with domain experts for optimizing systems.

Throughout the program, students delve into various aspects of mathematics and statistics, including algebra and differential equations, which lay the groundwork for advanced analytical methods. They are exposed to cutting-edge technologies like Hadoop and Spark for handling big data, enabling them to tackle real-world challenges associated with large-scale data processing. The curriculum also covers multivariate statistics, empowering students to comprehend and analyze intricate relationships within data sets, and text analytics to extract meaningful information from textual data sources.

The unique blend of theoretical knowledge and practical skills fosters students' abilities to think critically, solve complex problems, and communicate effectively. By emphasizing the integration of mathematical principles with data science applications, the program ensures that graduates are well-prepared to address the evolving demands of the industry. The B.Sc. Mathematics in Data Science program at UPES School of Advanced Engineering is tailored to produce graduates who possess not only a strong mathematical foundation but also a deep understanding of data science techniques, making them valuable assets in the rapidly expanding field of data-driven decision-making.

Program Highlights

  • Gain a strong foundation in both Mathematics and Data Science, equipping you with a comprehensive skill set for modern analytical challenges.
  • The B.Sc. Mathematics in Data Science program engages in project-based learning that promotes hands-on experience, enabling you to apply theoretical concepts to real-world data problems.
  • Prepare for advanced academic pursuits with opportunities to pursue master’s and PhD studies in Mathematics and Data Science, fostering a future in research and academia.
  • Benefit from dedicated placement support, facilitating smooth transitions into industry roles aligned with the growing demand for data-driven professionals.
  • Receive specialized assistance to excel in competitive exams like JAM, enhancing your prospects for higher education and research opportunities.
  • Develop a well-rounded skill set encompassing mathematical prowess, data manipulation, and analytical thinking, setting a strong foundation for success in the field of Data Science.

The B.Sc. Mathematics in Data Science program at UPES School of Advanced Engineering offers a promising future scope. As the demand for skilled professionals in machine learning, deep learning, and AI continues to rise, this program equips students to develop and implement advanced models to tackle intricate challenges. The program's focus on big data analysis is crucial, given the escalating availability of diverse datasets, enabling students to extract valuable insights efficiently. The wide-ranging applications of data science across sectors such as healthcare, finance, retail, transportation, and energy open up targeted career pathways, necessitating an understanding of sector-specific requirements and regulations. This program bridges the gap between mathematical expertise and practical data science skills, nurturing graduates for success in the evolving landscape of data-driven industries.

Career Opportunities

Graduates with a B.Sc. Mathematics in Data Science from UPES School of Advanced Engineering are poised for a dynamic range of career opportunities. Equipped with advanced quantitative and analytical skills, they can seamlessly transition into roles as Data Scientists, harnessing their expertise to extract insights from complex datasets. Alternatively, they can thrive as Quantitative Analysts, leveraging their mathematical prowess to develop financial models. The program also nurtures adept Business Intelligence Analysts, Operation Research Analysts, and Research Associates who are integral in optimizing business strategies and decision-making processes. Graduates can also pursue avenues as Data Consultants, aiding companies in their data-driven endeavors, or venture into entrepreneurship, leveraging their skills to launch innovative startups. Moreover, opportunities as Software Developers await those who wish to craft tech solutions grounded in a strong mathematical foundation.


The B.Sc. Mathematics in Data Science program at UPES School of Advanced Engineering offers exceptional placement opportunities for its graduates. With a curriculum designed to equip students with a solid foundation in both mathematics and data science, graduates are well-prepared to excel in the dynamic field of data analysis and interpretation. The program's emphasis on hands-on experience, industry-relevant projects, and practical training ensures that students are ready to tackle real-world challenges. As a result, graduates of this program have consistently secured placements in top-tier companies and organizations, spanning industries such as technology, finance, healthcare, and more. The program's strong industry connections and comprehensive skill set make it a gateway to promising career paths in the thriving realm of data science and analytics.

Fee Structure

Click here for detailed Fee Structure.


Semester 1

 Linear Algebra I​3104
 Differential Calculus​3024
Environment Sustainability & 
Climate Change
Critical Thinking2002
Computational Techniques​2002
Minor - I​4004

Semester 2

Real Analysis I​3104
Linear Algebra II​3104
Analytical Geometry​3104
Environment Sustainability & 
Climate Change
Living Conversations2002
Constitution and Indian 
Minor – II​4004

Semester 3

Real Analysis I​I3104
Integral Calculus​3024
Ordinary Differential Equations​3024
Skill Enhancement Electives I​2002
Design Thinking​2002
Social Internship​0000
Minor – II​I4004

Semester 4

Mechanics    ​3104
Complex Analysis​3104
Partial Differential 
Skill Enhancement 
Electives I​
Working with Data​2002
Minor - IV​4004

Semester 5

Abstract Algebra​3104
Probability and Statistics​3104
Leadership & Teamwork​2002
Technonologies of 
Future/Meta 101
Minor -V ​4004
Summer Training/Internship​
Scientific Communication​1005

Semester 6

Numerical Analysis​3024
Minor -VI ​4004
Linear Programming 3104
Mathematical Modelling ​3024
Start your own

Semester 7

Advanced Numerical Techniques​2023
Discrete Mathematics​3003
Elective I3104
Elective II3104
Minor VII3104
Research Methodology & 

Semester 8

Minor VIII3104
Elective III3104
Integral equations & 
Calculus of Variations


As per NEP, multiple exit options are also available. After securing the requisite 
40, 80, 120, 160 credits, Student on exit shall be awarded Certificate, Diploma, 3 
Year UG Degree, 4 Year UG (H)/4 Year UG (H) with Research.


Interested students must meet the minimum eligibility criteria for the B.Sc. Mathematics in Data Science program as outlined below: Minimum 50% marks in Class X and XII (PCM/B).

Selection Criteria

Selection for individuals interested in enrolling in the B.Sc. Mathematics in Data Science program, provided by UPES School of Advanced Engineering, relies on the performance of each candidate in Personal Interview.

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