BSc Hons Mathematics with a Year in Industry

The BSc (Hons) Mathematics with a Year in Industry at the University of Nottingham is designed to help you grow as a problem-solver who can apply mathematics in real-world situations. From the very first year, you’ll work through interactive workshops, coding tasks, and team-based activities that mirror how mathematicians operate in research, finance, data analysis, and technology. As you progress, you'll handle more project-based work, collaborate with peers, and learn to communicate mathematical ideas clearly — skills that employers actively look for.

Your year in industry is the centrepiece of the programme. In your third year, you spend 9–12 months working full-time for an organisation that matches your career interests. You’ll apply your mathematics directly to workplace challenges, contribute to ongoing projects, and gain experience with professional tools. Throughout the placement you’re supported by a tutor from the School of Mathematical Sciences, and when you return you produce a final report and poster presentation that count towards your degree.

Here’s how all of this comes together to build your practical experience:

• Industry Placement Year: You spend an entire year working within a company, applying mathematical and statistical methods to real projects, gaining professional experience, and building an industry-ready CV.

• Dedicated Placement Support: The School hosts its own placements fair and provides a tutor to guide you through securing and succeeding in your placement.

• Mathematics Group Projects: After returning from industry, you take a group project module where you collaborate on open-ended mathematical problems, improving communication, teamwork, and research skills.

• Computing Assignments & Digital Tools: Throughout the degree, you use computer labs and digital platforms for coding, simulations, and numerical work, helping you apply mathematics in computational settings.

• High-Performance Computing Suite: The School of Mathematical Sciences has access to a High-Performance Computer Suite, allowing students to work with large-scale numerical computation and modelling.

• Modern Mathematics Building: You study in a dedicated building with computer workrooms, breakout pods, group work areas, and student common rooms — all designed to support collaborative and independent learning.

• Varied Assessments: Your practical learning is reinforced through presentations, computing tasks, written coursework, group projects, and a major industry-year report.

• Library Access: With access to Nottingham’s network of libraries, you’ll have study rooms, silent areas, computer workstations, and extensive mathematical resources to support coursework and research.

• Laptop-Hire Service: The school provides free laptop loans, which is especially helpful during coding, data analysis, and group project periods.

By combining rigorous mathematical training with a full year of industrial experience, this degree equips you with both deep theoretical knowledge and practical, real-world skills. Many graduates go on to roles such as data analyst, financial analyst, actuarial analyst, or software consultant — or even further into research or teaching.

Typical roles graduates land:

• Actuarial Analyst

• Data Analyst

• Financial Analyst

• Software / Junior Consultant

• Maths Teacher

• Trainee Meteorologist

What Makes This Degree Valuable for Your Career:

• University Services & Employability Support

  • The Careers and Employability Service provides tailored support with job applications, CV building, interview preparation, and access to work-experience openings.

  • Students can access the Nottingham Internship Scheme, offering structured, often paid internships related to your degree.

  • The School of Mathematical Sciences runs a summer research internship scheme, giving you hands-on experience in academic or applied research.

  • You can also become a PASS (Peer Assisted Study Sessions) leader, helping fellow students while developing leadership and communication skills that stand out to employers.

• Employment Statistics & Salary

  • Around 86% of mathematical sciences undergraduates secure employment or further study within 15 months of graduating.

  • The average first full-time annual salary sits around £27,000.

  • Broader graduate data shows earnings around £32,000 fifteen months after graduation, with a typical range of £28,000–£38,000.

  • Longer-term earnings data shows graduates reaching approximately £33,000 three years after graduation, and around £41,000 after five years.

• Industry Engagement & Partnerships

  • The compulsory year in industry means you gain real-world project experience, build professional networks, and develop workplace skills that employers actively look for.

  • The University of Nottingham is consistently ranked among the top-targeted universities by major UK employers, giving you access to strong recruitment pipelines.

• Accreditation & Long-Term Value

  • Graduating from the School of Mathematical Sciences gives you a respected academic credential backed by strong industry integration.

  • The curriculum is shaped by industry engagement, ensuring the skills you learn remain relevant and in demand.

• Outcomes After Graduation

  • Approximately 91% of graduates are in work or further study within 15 months.

  • A large proportion of graduates move into highly skilled roles in finance, research, technology, business analysis, and data-driven fields.

  • Many graduates report high alignment between their career paths and future ambitions, showing the program’s effectiveness in preparing students for meaningful work.

Further Academic Progression:

After completing this degree, you’ll have strong pathways to continue your academic journey:

• Postgraduate Degrees: Options include MSc Mathematics, Statistics, Data Science, Industrial Mathematics, or Financial Mathematics — either at Nottingham or other top universities.

• PhD / Research Pathway: If you’re drawn to advanced research, you could pursue a PhD in pure or applied mathematics, computational modelling, or interdisciplinary fields.

• Professional Qualifications: Graduates often continue into actuarial training, data science certifications, financial analysis qualifications, or even pursue an MBA to combine technical and managerial expertise.