BSc Mathematics and Statistics with Data Science with a Placement Year

From the very start of your degree, you’ll have access to modern tools, expert guidance, and a learning environment that’s all about doing, not just reading. You’ll work with statistical and computing software to analyse real datasets, take part in small-group tutorials that mirror real-world problem solving, and even join the Department of Mathematics and Statistics in active research projects — so you see how new ideas are created, not just what’s already in the textbooks. On top of that, the placement year gives you a full year of industry experience built right into your degree.

Here are some of the key hands-on, experiential elements you’ll benefit from:

Placement year (Year 3 of a 4-year degree)
You’ll spend an entire year working in industry — whether in finance, modelling, statistics, or related areas. A dedicated placements team supports you every step of the way, from helping you find the right role to tailoring your CV and preparing you for interviews.

Statistical and computing software
You’ll build confidence using statistical computing tools to interpret, visualise, and report data — practical skills employers look for.

Machine learning and programming
Advanced modules introduce machine learning methods using statistical software, and you can also choose to develop your skills further through optional Python programming modules.

Project-based assessments and portfolio
In later years, you’ll complete a series of projects in mathematics or statistics. These let you apply your knowledge to real problems while developing your technical, reporting, and teamwork skills.

Group tutorials and collaborative problem-solving
Beyond lectures, you’ll take part in small-group tutorials where you and your peers tackle problems together, guided by tutors. These sessions reflect the way professional teams work through challenges in the real world.

Research integration and exposure
The department is highly active in research areas such as climate modelling, statistical methodology, and forecasting. You’ll learn from staff working at the forefront of these fields and may even have the chance to get involved in research-led projects yourself.

Study abroad opportunities
You’ll have the option to broaden your horizons with international study — whether that’s two weeks, a semester, or even a full year abroad — gaining experience of different academic cultures and perspectives.

Supportive learning environment
You’ll benefit from strong staff-student contact, with 96% of students saying it’s easy to reach teaching staff when needed. Small-group work, close interaction with faculty, and access to departmental resources all create a supportive and personal learning environment.

Accreditation and professional recognition
This degree is accredited by the Institute of Mathematics and its Applications, meaning it’s aligned with the requirements for Chartered Mathematician status (with further experience or training).

Graduates from this degree usually step into analytically demanding roles across industry, government, or academia. Many secure strong starting salaries and benefit from high employability. Typical career paths include data scientist, statistician, quantitative analyst, or modelling specialist.

Because the programme blends mathematics, statistics, and data science, you’ll be well prepared for careers such as:

• Data Scientist / Data Analyst

• Statistician / Quantitative Analyst

• Risk / Financial Modeller

• Research Scientist / Modelling Specialist

How the University Supports Your Career

• The Placements Team offers personalised support with CVs, interviews, and matching you to the right opportunities.

• At department level, you’ll benefit from small-group tutorials, academic staff with industry backgrounds, and tailored support to sharpen your communication, presentation, and technical project skills.

• Study Abroad and internship options help you gain international and practical experience to stand out to employers.

Employment Stats & Graduate Outcomes

• Around 92% of Reading Mathematics & Statistics graduates are in work or further study within 15 months of graduating.

• Employers include Deloitte, PwC, IBM, Lloyds Banking Group, NHS, PepsiCo, Grant Thornton, and BDO.

• While exact figures vary, graduate roles in data science, quantitative analysis, and financial modelling typically start around £25,000–£35,000 in the UK, with salaries increasing significantly as you gain experience.

Industry Links & Real-World Experience

• Past students have secured placements with leading organisations such as Morgan Stanley and GlaxoSmithKline.

• Through these connections, you’ll get the chance to work on real-world projects in finance, pharmaceuticals, analytics, and modelling.

Professional Accreditation

• The degree is approved by the Institute of Mathematics and its Applications (IMA), which means it counts toward the educational requirements for Chartered Mathematician status.

• This professional recognition strengthens your CV and can be a real asset for senior or specialist roles later in your career.

Graduate Destinations

• Alumni have gone into finance, business, the public sector (such as health authorities or national statistics offices), and industries focused on modelling and simulation.

• Others move into accountancy, actuarial roles, engineering, computing, or further research.

• Some also pursue careers in government agencies, applying statistical and quantitative expertise to policy, forecasting, or operational planning.

Further Academic Progression
After completing your degree, you’ll also be well-positioned for postgraduate study, such as:

• Master’s degrees in Data Science, Statistics, Machine Learning, Artificial Intelligence, or Quantitative Finance

• Research degrees (MRes, MPhil, PhD) in Mathematics, Statistics, or Computational Modelling

• Professional diplomas in areas like financial engineering or biostatistics

• Teaching qualifications if you’d like to move into education