Mathematics with Data Science MSci (Hons)

4 Years On Campus Bachelors Program

City University of London

Program Overview

The Mathematics with Data Science MSci (Hons) at City University of London is a forward-thinking degree designed for students eager to blend mathematical theory with practical data science applications. Ideal for those aiming for careers in analytics, AI, or tech, this program equips you with a robust foundation in mathematics alongside cutting-edge data science skills.


Curriculum Structure:

Year 1:
In your first year, you'll establish a solid grounding in core mathematical concepts and programming. Modules such as Real Analysis, Vector Calculus, and Sequences and Series will deepen your understanding of mathematical principles, while Decision Analysis and Applied Mathematics introduce practical applications. Programming skills are honed through courses like Programming and Data Science for the Professions, preparing you for data-driven problem-solving.

Year 2:
The second year builds upon your foundational knowledge, emphasizing applied mathematics and data science techniques. You'll engage with modules like Numerical Mathematics, Applications of Probability and Statistics, and Professional Development and Employability for Mathematics. These courses not only enhance your analytical abilities but also prepare you for professional environments, ensuring you're equipped to tackle real-world challenges.

Year 3:
In the third year, the focus shifts to advanced topics in mathematics and data science. Key modules include Differential Equations, Complex Analysis, and Codes, which delve into specialized areas of mathematics. This year also emphasizes the development of practical skills, preparing you for complex problem-solving scenarios in various industries.

Year 4:
The final year culminates in a significant research project, allowing you to apply your accumulated knowledge to a substantial piece of work. Modules like The Mathematics of Information, Forecasting, and Mathematics for Quantum Computing offer in-depth exploration of specialized topics, ensuring you're well-prepared for postgraduate study or professional roles in mathematics and data science.


Focus Areas:
Mathematical Modelling, Data Analysis, Statistical Inference, Computational Mathematics, Artificial Intelligence, Machine Learning, Quantum Computing.

Learning Outcomes:
Proficiency in mathematical reasoning, programming, data analysis, statistical modeling, problem-solving, and research methodology.

Professional Alignment:
The program is designed to align with industry standards, preparing graduates for roles in data science, analytics, and related fields.

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


This comprehensive program offers a balanced blend of theoretical knowledge and practical skills, ensuring you're well-equipped to excel in the dynamic field of data science.

Experiential Learning (Research, Projects, Internships etc.)

This four-year integrated master's degree is designed to equip you with a robust foundation in both mathematics and data science, preparing you for a successful career in the rapidly evolving field of data analytics. The program emphasizes experiential learning, ensuring that you not only grasp theoretical concepts but also gain practical skills that are highly valued by employers.

Throughout the course, you'll have access to state-of-the-art facilities and resources that enhance your learning experience:

  • Specialist Laboratories: Engage in hands-on projects and research in dedicated spaces equipped with the latest technology.

  • Advanced Computing Facilities: Utilize high-performance computing resources for data analysis and algorithm development.

  • Collaborative Workspaces: Participate in group projects and team-based assignments in modern, flexible environments.

  • Comprehensive Libraries: Access a vast collection of academic resources, journals, and databases to support your studies.

  • Career Development Support: Benefit from the university's strong links with industry, offering opportunities for internships and placements in leading organizations.

These facilities and opportunities are designed to provide you with a comprehensive, hands-on education that bridges the gap between theory and practice.

If you have any more questions or need further information about the program, feel free to ask!

Progression & Future Opportunities

Graduates of the Mathematics with Data Science MSci (Hons) program are exceptionally well-prepared to enter data-driven roles in industry, finance, and research. Many alumni move directly into careers as data scientists, quantitative analysts, or software engineers, leveraging their strong mathematical and computational skills:

  • University Careers and Employability Services: City, University of London’s Careers Service offers tailored support, including CV workshops, mock interviews, internships, and access to exclusive employer events to help you secure graduate-level positions.

  • Employment Stats and Salary Figures: Recent graduates have enjoyed high employability, with many securing roles within six months of graduation. Entry-level salaries typically range from £28,000 to £40,000, depending on the sector.

  • University–Industry Partnerships: City maintains strong connections with leading tech firms, financial institutions, and research organizations, providing networking opportunities, industry-led projects, and internship placements.

  • Long-term Accreditation Value: The MSci degree is fully accredited and recognized by professional bodies, ensuring strong credibility in international and national job markets.

  • Graduation Outcomes: Alumni often pursue roles such as Data Scientist, Quantitative Analyst, Machine Learning Engineer, or Risk Analyst, and some continue into high-level research or doctoral studies.

Further Academic Progression:
After completing the MSci, students can continue their studies through specialized Master’s programs or PhD research in areas such as Data Science, Artificial Intelligence, Applied Mathematics, or Financial Engineering. This opens doors to advanced roles in academia, industry research, and global technology firms.

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 Scientist
  • Machine Learning Engineer
  • Data Analyst
  • Quantitative Analyst
  • Business Intelligence Analyst
  • Statistician
  • AI Researcher
  • Operations Research Analyst
  • Data Engineer
  • Financial Analyst
  • Risk Analyst
  • Marketing Analyst
  • Actuary
  • Computational Scientist
  • Bioinformatics Analyst

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