BSc Hons Statistics and Data Analytics

From the moment you start, you’ll be doing much more than just listening — you’ll be actively using tools, working with real data, collaborating with peers, and applying your skills. The University has carefully designed the program so you graduate ready for the workplace:

• Hands-on Software Experience: You’ll learn using specialist mathematical and statistical software packages, giving you practical, industry-relevant skills.

• Industry Insights: Guest lectures from data professionals mean you’ll hear first-hand how analytics is applied in real workplaces.

• Collaborative Learning: Lectures are supported by seminars and workshops, where smaller groups discuss ideas, solve problems together, and put theory into practice.

🔍 Key Features & Tools in the Programme

Here’s what makes this degree truly practical and work-focused:

• Sandwich (Placement) Year: You have the option to take a year-long placement between your second and final year. It’s paid, industry-related, and gives you valuable real-world experience.

• Work-Based Learning Module: At least one module involves a short-term placement (one day a week over one or two terms), where you’re assessed on applying what you’ve learned in real workplace situations.

• Software Access: You’ll get licensed access to essential tools, including:

  • Virtual Desktop services

  • Tableau Desktop

  • Microsoft Azure DevTools (Visio, Project, SQL Server, etc.)

  • Nvivo, SPSS Modeler, and SPSS Amos

• Academic Software Training: If a module requires specific IT or software skills, you’ll receive training to make sure you’re confident and competent.

Libraries and Learning Support

• Library Resources: Stockwell Street Library and online resources are available for independent study, research, and preparing coursework.

• Expert Guidance: Subject librarians and the academic skills center help you with academic writing, mathematical foundations, and more.

Laboratories / Facilities

While there isn’t a dedicated “data lab” listed, the combination of software labs, computing facilities, and expert support gives you an environment very similar to professional data analytics settings.

Teamwork & Communication Skills

You’ll work on group projects, give presentations, and develop skills in interpreting and presenting findings. The focus is not only on getting the numbers right but also on making insights clear, useful, and impactful.

Graduates from this programme often move into roles such as Data Analyst, Business Analyst, Market Researcher, or Statistical Modeller. With the strong mix of quantitative, IT, and modelling skills you’ll develop, careers in government agencies, private consultancies, tech companies, or financial institutions are very achievable.

Because the programme focuses on real-world application—like data collection, interpretation, and simulation—and trains you in industry-relevant tools and software, most graduates find work relatively quickly after finishing. There’s also strong potential for salary growth as you gain experience.

Detailed Opportunities & Support

University services that support employability
The central Employability & Careers Service offers help with CVs, mock interviews, and applying for placements or graduate roles.

Each School has a dedicated Employability Officer who runs work-related activities throughout the year to help you build industrial knowledge and networks.

Placement opportunities

• Sandwich-year option: You can take a full year in industry between your second and final year. These roles are paid.

• Module-based placements: Shorter placements are available (e.g., one day per week or a term), including options in schools or colleges if teaching interests you.

Employment outlook
While specific salary data for this programme isn’t published, English-domiciled graduates earned on average £10,500 more than non-graduates in 2023. The UK Government also projects that 88% of new jobs by 2035 will require a graduate-level education, highlighting strong demand.

University-industry partnerships
Students in Mathematical Sciences (including this programme) have completed placements or internships with major organisations such as the Department for Work & Pensions, NHS England, NATS, Home Office, HMRC, GSK, Intel, and Lloyds Banking Group.

You’ll also benefit from guest lectures by industry experts and access to professional software (like SPSS, Microsoft Azure, SQL Server), helping you develop skills directly valued by employers.

Long-term value of the degree
The degree is accredited by the Institute of Mathematics & its Applications (IMA), the UK’s chartered professional body for mathematicians, which adds credibility and can help with professional registrations or certifications later in your career.

The University has a Gold rating in the Teaching Excellence Framework (TEF) 2023, reflecting outstanding student experience and outcomes—something employers often notice.

Graduation outcomes
Graduates are well positioned for roles in data science, statistical modelling, operational research, research, IT, pharmaceuticals, banking, civil service, teaching, logistics, consultancy, risk management, marketing, and more.

Many students graduate with real work experience through placements or sandwich years, giving them an advantage in the job market.

Further Academic Progression

After completing this BSc, you could:

• Pursue a Master’s (MSc) in Data Science, Applied Statistics, Machine Learning, or Operational Research to deepen your technical and specialist skills.

• Explore postgraduate research (MRes or PhD) in Statistics, Data Analytics, or Mathematical Sciences, potentially working on university or industry-funded projects.

• Combine your technical knowledge with business or management studies (e.g., a Masters in Business Analytics or an MBA with a data focus) if you’re interested in leadership roles or bridging into business strategy.