Mathematics with Data Science BSc (Hons)

3 Years On Campus Bachelors Program

City University of London

Program Overview

The BSc (Hons) Mathematics with Data Science at City University of London is designed for students passionate about mathematics and eager to apply it to real-world data challenges. This program combines rigorous mathematical theory with practical data science skills, preparing graduates for diverse roles in technology, finance, and research.


Curriculum Structure

Year 1: Foundation in Mathematics and Programming

The first year establishes a solid foundation in mathematics and programming. Core modules include Functions, Vectors and Calculus I & II, Linear Algebra, Algebra, and Logic and Set Theory. Students also engage in Introduction to Probability and Statistics and Introduction to Modelling, equipping them with essential analytical and problem-solving skills.

Year 2: Advanced Mathematical Techniques and Data Science Introduction

In the second year, students delve deeper into mathematical concepts with modules like Real Analysis, Vector Calculus, and Sequences and Series. The program introduces Programming and Data Science for the Professions, Applied Mathematics, and Numerical Mathematics, bridging the gap between theoretical mathematics and practical data applications.

Year 3: Specialization in Data Science

The third year focuses on data science, offering modules such as Techniques for Data Science, Group Project, and electives in areas like Differential Equations, Complex Analysis, and Graph Theory. This stage emphasizes the application of mathematical methods to real-world data problems, preparing students for professional challenges.

Year 4: Mastery and Independent Research

In the final year, students undertake the MSci Project, a substantial research endeavor, alongside core modules in Machine Learning, Data Visualisation, and Neural Computing. Elective options include Mathematics: Algorithms, Computation and Experimentation and Forecasting, allowing students to tailor their studies to specific interests.


Focus Areas: Pure Mathematics, Applied Mathematics, Data Science, Machine Learning, Artificial Intelligence, Mathematical Modelling

Learning Outcomes: Advanced mathematical problem-solving, Data analysis and interpretation, Programming proficiency, Research and project management, Effective communication of complex concepts

Professional Alignment (Accreditation): The program aligns with industry standards, preparing students for roles in data science, finance, and research.

Reputation (Employability Rankings): City University of London is recognized for its strong employability outcomes, with graduates securing positions in leading organizations across various sectors.

Experiential Learning (Research, Projects, Internships etc.)

At City, University of London, the Mathematics with Data Science BSc (Hons) program emphasizes hands-on learning, ensuring students gain practical skills alongside theoretical knowledge. You’ll work directly with data, explore advanced mathematical modeling, and engage in real-world problem-solving using modern tools and technologies. The university provides excellent facilities, including specialized computer labs, software platforms, and collaborative spaces, allowing you to translate your learning into tangible outcomes. Group projects, internships, and applied research opportunities ensure that your experience goes beyond the classroom, preparing you for a competitive data-driven world.

Some of the practical experiences and resources you can expect include:

  • Specialized Mathematics and Data Science Labs: Equipped with statistical and computational software such as Python, R, MATLAB, and SQL.

  • Data Analytics Software Tools: Hands-on training with libraries and platforms for machine learning, visualization, and predictive modeling.

  • Collaborative Group Projects: Work with peers on real-world datasets and case studies, developing teamwork and problem-solving skills.

  • Internships and Industry Placements: Opportunities to gain professional experience in data science, finance, and technology sectors.

  • Research Opportunities: Access to university-led research projects and collaboration with faculty on applied mathematics and data science challenges.

  • Digital and Online Resources: Comprehensive access to digital libraries, academic journals, and specialized data repositories.

  • Workshops and Guest Lectures: Regular sessions with industry experts to understand current trends and practical applications.

  • City Library and Computing Facilities: Dedicated study spaces, high-performance computers, and software for complex computations.

This combination of theory, practice, and professional exposure ensures that graduates leave with both the confidence and capability to succeed in a variety of data-centric careers.

Progression & Future Opportunities

Future Progression & Opportunities:
Graduates from the Mathematics with Data Science program are highly sought after for their strong analytical and technical skills. Many go on to roles such as Data Analyst, Quantitative Researcher, or Business Intelligence Specialist:

  • Career Support Services: City’s Careers and Employability Service offers one-on-one guidance, CV workshops, interview preparation, and access to exclusive internship opportunities to help students secure their first roles.

  • Employment Stats & Salary Figures: Graduates typically enter the workforce with competitive salaries ranging from £28,000 to £40,000, with many securing positions in leading financial institutions, tech companies, or government agencies.

  • University–Industry Partnerships: The program benefits from connections with financial institutions, tech firms, and data-driven organizations, providing real-world project collaborations and networking opportunities.

  • Accreditation Value: The degree is professionally recognised, enhancing eligibility for certifications and giving long-term value in careers across finance, technology, and research sectors.

  • Graduation Outcomes: Alumni often progress into roles in data science, analytics, risk management, software development, and consulting, with many pursuing leadership or specialist positions within a few years of graduating.

Further Academic Progression:
After completing this program, students have the option to continue their studies with postgraduate courses such as MSc Data Science, Financial Mathematics, Artificial Intelligence, or advanced research degrees, positioning themselves for expert or academic careers in highly competitive industries.

Program Key Stats

£22,700
£ 29
Sept Intake : 14th Jan


No
Yes

Eligibility Criteria

AAB
N/A
33
78

N/A
N/A
6.0
80

Additional Information & Requirements

Career Options

  • Data Analyst
  • Business Analyst
  • Data Scientist
  • Statistician
  • Quantitative Analyst
  • Machine Learning Engineer
  • Operations Research Analyst
  • Actuary
  • Financial Analyst
  • Risk Analyst
  • Data Engineer
  • Research Scientist
  • AI Specialist
  • Data Consultant
  • Software Developer

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