IILM University, Greater Noida

Course Overview — BSc Mathematics with Data Science

The BSc Mathematics with Data Science is a 3-year full-time undergraduate degree that combines the rigour of mathematical theory with practical data science and analytical skills. The program is designed to train students in mathematics, statistics, computational modelling, and modern data science tools — preparing them for careers in analytics, research, financial modelling, machine learning, and technology.

Students gain strong foundational knowledge in algebra, calculus, probability, and discrete mathematics, along with applied skills such as data analysis, programming, machine learning, statistical modelling, and big data tools. The curriculum blends theory and practice through projects, labs, and internships, making graduates industry-ready for data-centric roles.

Eligibility Criteria

Curriculum Highlights

The curriculum integrates core mathematics with data science tools and techniques:

Core Mathematical Subjects

• Calculus & Analytical Geometry

• Linear Algebra & Matrix Theory

• Differential Equations

• Real & Complex Analysis

• Probability Theory & Statistics

• Number Theory & Combinatorics

Data Science & Applied Subjects

• Programming for Data Science (Python / R)

• Data Structures & Algorithms

• Database Management Systems

• Machine Learning Foundations

• Statistical Inference & Modelling

• Big Data Analytics (Hadoop/Spark)

• Data Visualisation (Tableau / Power BI)

Skills & Practical Exposure

• Hands-on data analysis projects

• Computing tools and languages (Python, R, SQL)

• Capstone project in final year

• Internship with industry, labs or research units

This dual focus equips students with strong quantitative and computational skills needed for modern decision-making and analysis.

Internship & Industry Exposure

Students are encouraged to undertake industry internships and applied projects to connect academic learning with real-world problems. These experiences often include:

• Data preparation and cleaning tasks

• Applying machine learning models to datasets

• Statistical modelling for business insights

• Working with analytics teams in corporates

Such exposure enhances employability and prepares students for data-driven roles.

Placement Overview

While exact placement figures for this specific program can vary year to year, typical outcomes for data-centric and mathematics programs include:

Students with strong analytics and programming skills often secure higher packages.

Career Opportunities

Graduates of the BSc Mathematics with Data Science program can pursue diverse roles in:

• Data Scientist / Analyst

• Business Intelligence Analyst

• Machine Learning Engineer (entry)

• Quantitative Analyst

• Statistician / Research Analyst

• Big Data Specialist

• Financial Risk Analyst

The interdisciplinary focus opens pathways in IT, finance, consulting, research labs, healthcare analytics and digital businesses.

Why Choose This Program?

• Combines deep mathematical foundation with modern data science skills

• Prepares students for high-growth analytics careers

• Offers hands-on projects, internships & industry exposure

• Builds computational, analytical and decision-making skills

• Strong placement support with corporate connections