Data Science BSc Honours

 

Clearing - How to apply

What is Clearing?

Each year, universities may have spaces left on their courses after the application window has closed in June. 

UCAS Clearing is your opportunity to snap up one of these places, even if you didn't apply to the university prior to the June deadline. 

It also gives you a second chance to go to university if you didn't get the grades you needed for your firm and insurance offers. 

How do I get in touch?

Our Clearing entry requirements may differ from those advertised – contacting our friendly advisers is the best way to find out if you’re eligible for a place. 

You can get in touch through live chat or our hotlines. Call us on 0800 073 5050, or if you're an International student calling from outside the UK, call: +44 191 222 5000.

Not available in Clearing

This course is not available in Clearing 2026.

This means there are no spaces available for Clearing 2026. If you can't find vacancies in your original course or subject area, try exploring other subjects in a related field.

Search our courses in Clearing

Course overview

What do flood risk management and football players have in common? To get the best out of both, you need to dig into the data. Our BSc in Data Science gives you the mathematical understanding and coding expertise you’ll need to read complex datasets and come to conclusions about them.

We’ll teach you how to use data to develop solutions to pressing problems, and to interpret what you find critically. You’ll also become an expert in communicating to diverse audiences, so you can make changes across spheres from sports to science.

“Computer science lets you write algorithms, but not necessarily understand what’s going on; statistics might help you write a model, but not implement it properly. Large scale, data driven problems are at the intersection of maths and computing – and that’s where this course is.”  

- Pete Philipson, Degree Programme Director, Data Science BSc  

Data Science combines elements of mathematics, statistics and computing. To reflect the unique ways that data scientists use these disciplines, we’ve created a specialist curriculum that explores the interplay between the three. Classroom sessions are complemented by hands-on teaching from the National Innovation Centre for Data (NICD).  

This way, you’re able to use each aspect of data science seamlessly together, in the way you will professionally. You’ll learn about modern machine learning, AI, and computational workflows, reflecting what’s happening in industry and research. 

Why study at Newcastle?

• Real data from day one - Use professional tools on live datasets and solve real world problems as soon as you start
• Across disciplines – as it should be - Data Science shouldn’t live in the Statistics department. Our course weaves in maths and computing, too
• Home to the National Innovation Centre for Data - You’ll get unique industry opportunities through our relationship with NICD

 

Download information about this course as a PDF

Quality and ranking

Professional accreditation and recognition

Professional accreditation review and recognition of professional qualifications in Europe

Professional accreditations are reviewed regularly by professional bodies to ensure they meet the latest industry practices and regulatory standards. This keeps your degree rigorous, relevant, and highly valued by employers, providing a clear pathway into your chosen career.

If you are studying an accredited degree and considering a career in Europe after graduation, it is important to stay informed about international standards. The best resource for current information is the UK Government's guidance on recognition of UK professional qualifications in EU member states.

This official resource provides essential details on:

• whether your profession is regulated in another country.
• the specific steps you need to take to practice abroad.
• which organisations you should contact to begin the process.

What you'll learn

Our Data Science BSc is made up of  bespoke data-specific modules, designed and delivered by our mathematics, statistics and computer science experts. You’ll develop your practical skills with industry-standard experiences provided by the National Innovation Centre for Data.

Modules

The information below is intended to provide an example of what you will study.

Most degrees are divided into stages. Each stage lasts for one academic year, and you'll complete modules totalling 120 credits by the end of each stage. 

Full details of the modules on offer will be published through the Programme Regulations and Specifications ahead of each academic year. This usually happens in May.

Our teaching is informed by research. Course content may change periodically to reflect developments in the discipline, the requirements of external bodies and partners, and student feedback.

Our Foundations of Data Science module will introduce you to the world of data science. You'll study foundational topics in mathematics and computing. In Stages 2 and 3, you'll build on these subjects with more bespoke data science modules.

Mathematics topics include probability, statistics, algebra and calculus. In computing, you'll learn about the software engineering lifecycle and develop your programming skills. 

Modules

Compulsory Modules	Credits
Foundations of Data Science	20
Programming Portfolio 1	30
Real Analysis	10
Introductory Calculus	10
Introduction to Probability and Statistics	20
Number Systems	10
Introductory Algebra	10
Multivariable Calculus	10

You'll study specialised modules in mathematics and computer science, including:

• data visualisation
• regression
• security programming
• algorithm design and analysis

You'll also study a module delivered by NICD. You'll work and learn collaboratively on real-world business challenges. You'll learn to solve problems and develop customer-oriented solutions.

Modules

Compulsory Modules	Credits
Security Programming	20
Algorithm Design and Analysis	10
Frontiers in Data Science B	10
Linear Algebra	10
Statistical Inference	10
Stochastic Processes	10
Data Visualisation	10
Probability	10
Regression	10

Optional Modules	Credits
Groups and Rings	10
Curves and Surfaces	10
Coding Theory	10
Numerical Methods with Python	10
Principles of Quantum Mechanics	10
Mathematical Biology	10

In Stage 3, you'll apply statistical, mathematical, programming and data science skills to a variety of problems. You’ll also be free to explore your own interests with a range of optional mathematics and computer science modules.

Put your learning into practice during your Group Project module. During this project, you'll:

• work with real-world data sets
• identify and unpick problems
• work in a team to solve business challenges

Modules

Compulsory Modules	Credits
Computer Vision & AI	20
Data Innovation Bootcamp	10
Frontiers in Data Science B	10
Data Science Group Project	10
Foundations of Machine Learning	10
Statistical Modelling	10

Optional Modules	Credits
Biomedical Data Analytics and AI	20
Human Computer Interaction: Interaction Design	20
Data Visualization and Visual Analytics	10
Clinical Trials	10
Decision Modelling for Health Data Science	10
Topics in Medical Statistics and Health Data Science	10
Curves and Surfaces	10
Coding Theory	10
Numerical Methods with Python	10
Group Theory	10
Linear Analysis	10
Matrix Analysis	10
Metric Spaces and Topology	10
Number Theory and Cryptography	20
Matrix Representations of Groups	10
Stochastic Financial Modelling	10
Experimental Design	10
Extreme Value Theory	10
Time Series	10
Survival Analysis	10
Statistical Genetics	10
Mathematical Statistics	10
Bayesian Statistics and Decision Theory	10
Markov Processes	10
Principles of Quantum Mechanics	10
Mathematical Biology	10
Advanced Quantum Mechanics	10

 

 

Information about these graphs

We base these figures and graphs on the most up-to-date information available to us. They are based on the modules chosen by our students in 2025-26.

Teaching time is made up of:

• scheduled learning and teaching activities. These are timetabled activities with a member of staff present.
• structured guided learning. These are activities developed by staff to support engagement with module learning. Students or groups of students undertake these activities without direct staff participation or supervision

How you'll learn

Teaching methods

You’ll learn through a combination of different methods including:

• lectures
• group work
• hands-on labs and practicals
• contemporary case studies
• data-driven decision making
• end-to-end data analysis
• applied computational workflows

 An immersive final-year project

Your final project is your opportunity to explore an area of data science that excites you. Your project can be:

• research-informed - a classic, supervisor-led project on a specific topic allied to the supervisor's interests
• industrially motivated - solving a problem for a business, or
• entrepreneurial, working with NICD on an emerging problem.

You’ll work in realistic, data-rich contexts, and could hone in on: 

• data analysis
• modelling
• inference
• uncertainty
• simulation
• visualisation, or
• decision support.

It’s an in-depth, self-directed learning experience, and you’ll show you can evaluate arguments, make judgements and solve complex problems.

Career-focused outputs

If you choose the research-informed route, you'll graduate with a research dissertation demonstrating your expertise in a specialist area of data science. This will support your applications for postgraduate study. If you choose the industrial or entrepreneurship route, you'll build a professional portfolio that demonstrates your skills to prospective employers.

Assessment methods

You'll be assessed through a combination of:

• 

  Assignments – written or fieldwork

• 

  Case studies

• 

  Coursework

• 

  Dissertation or research project

• 

  Examinations – practical or online

• 

  Group work

• 

  Portfolio submission

• 

  Practical sessions

• 

  Presentations

• 

  Projects

• 

  Reflective report/journal

• 

  Reports

• 

  Seminar tasks/exercises

Skills and experience

Skills you’ll develop on the course

We want you to graduate ready for a career that excites you. The Data Science BSc will give you the skills, attributes and experiences you need to work with data.

Professional skills

To succeed in a career in data science, you’ll need to be able to work with all sorts of people in various environments. We'll teach you:

• decision-making
• communication
• collaboration
• presentation
• time management

Research skills

As data science develops so quickly, it’s important you leave the course with a range of research skills. You’ll learn:

• data wrangling
• data visualisation
• building models for data
• analysis
• independent study

Practical skills

For your future career, you'll need a robust practical skillset, so we'll make sure you have a solid grounding in:

• technical reporting
• coding with R and Python
• statistical modelling
• simulation
• data visualisation
• interpreting data in realistic and applied contexts

Read more about the skills and attributes you can expect to build at Newcastle.

Experiences you'll have

You’ll gain technical expertise, but it doesn’t stop there

The practical experience you’ll get from studying Data Science at Newcastle doesn’t stop with using state-of-the-art tools and technology. We’ll teach you how to work with data responsibly: we’ve embedded the themes of ethics, sustainability and responsibility throughout the degree. You’ll also collaborate with other students, industry partners and leading researchers, developing the skills you’ll need to work in specialist teams when you leave university.

Co-designed by the National Innovation Centre for Data

We work closely with NICD, the National Innovation Centre for Data. The Centre helped us develop the Data Science course, so you’ll graduate with the knowledge and skills needed for a career in data. NICD’s experts teach our Data Science students from the first semester, so you’ll be working in professional labs and tackling real-world datasets from diverse fields – for example, sport, aeronautical engineering, finance, and medicine – as soon as you start. In these learning environments, you'll build the skills and professional expertise needed for your future career.

Support

We take your health and wellbeing seriously and are committed to supporting you throughout your studies so you can fulfil your potential at university. This support includes:

• an adviser who is an academic member of staff who can help you with academic and personal issues throughout your degree
• a peer mentor scheme which pairs you with a current student from your course to help you navigate your first year at university
• a student-staff committee, to give you an opportunity to have a say in how your degree works
• a School-based Student Wellbeing Adviser who can offer comprehensive listening and support and signpost you to other University support services or external support agencies

Transition Team

A dedicated member of the team will be there to support you as you move from school to university study.

The Transition Officer works with Foundation and Stage 1 undergraduates to provide:

• Year 1 pastoral and academic support
• attendance and academic performance monitoring
• weekly drop-ins

You'll also benefit from our:

• induction programme, including social events, to help you settle in quickly
• activities and events run by our student-run society, MathSoc
• homework classes to help with assignments

View our video about the Transition Team in the School of Mathematics, Statistics and Physics. 

Opportunities

Study abroad

Experience life in another country by choosing to study abroad as part of your degree. You’ll be encouraged to embrace fun and challenging experiences, make connections with new communities and graduate as a globally aware professional, ready for your future.

You can choose to spend up to a year studying at a partner institution overseas.

If you choose to study abroad, it will extend your degree by a year. 

Find out more about study abroad

Work placement

Apply your practical skills, increase your confidence and gain real-life work experience to accelerate your career. Take a 9-12-month industrial placement in the UK or abroad. Work placements usually take place in stage 3 of your studies and extend your degree by one year.

Find out more about work placements.

Your future

Entertainment and education. Charity and government. Finance and football. Data is drawn from every aspect of our lives, so it makes sense that there are jobs for data experts in every sector.

Your opportunities when you leave Newcastle with a BSc in Data Science will be varied and exciting. We’re a brand-new course, so our first students haven’t graduated just yet. But students from our wider master’s courses can give you an idea of where data science can take you. They've gone on to be:

• Data Analysts at Barnados, Bloomberg, HM Revenue & Customs (HMRC), the Ministry of Justice, Sage, and Vodafone
• Data Scientists at Sage, EDF Renewable Energy, the Office for National Statistics (ONS) and the Bank of England
• Data and AI Cloud Solution Architect at Microsoft
• Data Engineers at Advancing Analytics, LTM and Spotify
• Data Economist at FAB AI
• Pricing Analyst at The AA  

You'll work closely, and network, with researchers and businesses at NICD. NICD is a research centre on Newcastle University’s Helix campus.

“Data Science students at Newcastle learn to frame the right questions, work with imperfect data, choose appropriate methods and produce insights that an organisation can use. These are the skills employers increasingly want graduates to demonstrate. What makes Newcastle distinctive is that this industry focus has been built into the degrees from the outset.”   

– Professor Murray Pollock, Academic Director for Data and Digital Technologies  

Careers support

The School of Mathematics, Statistics and Physics is supported by Careers Service and the Learning Partnerships team to support your career readiness from the moment you arrive.

You'll benefit from:

• guest lectures from alumni and industry built into the modules
• career-planning sessions from award-winning Careers service team employers regularly visiting campus and the School

There is also a Maths, Stats and Physics Employability resource which brings you the latest opportunities, adverts and news.

There is also the popular optional Stage 3 module in Career Development if you wish to further enhance your employability.

Our Careers Service is one of the largest and best in the country, and we have strong links with employers. We provide an extensive range of opportunities to all students through our ncl+ initiative.

Visit our Careers Service website

Facilities and environment

Facilities

At Newcastle, we’ve got lots of exciting technology that can help you with data visualisation. This includes:

• a stereoscopic wall display
• a large touchscreen display
• eye trackers
• hand-tracking devices
• VR headsets.

As part of the Statistics department, you’ll have access to great software with instant feedback to help you practice your skills. You’ll also be able to use the Penthouse – a student-only space on the top floor of Herschel building, with panoramic views of the city.

You’ll also have access to the Urban Sciences Building, part of our flagship Newcastle Helix development, which is home to NICD and the National Edge AI Hub. The USB is a ‘living laboratory’ – fitted with 4000 sensors that record detailed data about how the building is used. Anyone can use the data; you can use it in projects, if you like. We also have up-to-date data visualisation technology, which you can weave into final-year projects, too.

Learn more about the Newcastle Helix

Tuition fees and scholarships

Tuition fees for academic year 2027-2028

Qualification: BSc Honours
Home students full time 3 years	Tuition fees (Year 1) £10,050
International students full time 3 years	Tuition fees (Year 1) 27,300

Home Fee Students

Tuition fees are payable for each year of your course. These fee limits can change each academic year and are set by the government.  

Our 2027/28 full-time undergraduate fees for home-fee paying students are £10,050. 

These fees apply to new and continuing students in each academic year. 

As a general principle, you should expect the tuition fee to increase in each subsequent academic year of your course, subject to government regulations on fee increases and in line with inflation.

Read more about fees and funding

International Fee Students

Depending on your residency history, if you’re a student from the EU, other EEA or a Swiss national, with settled or pre-settled status under the EU Settlement Scheme, you’ll normally pay the ‘Home’ tuition fee rate and may be eligible for Student Finance England support.

EU students without settled or pre-settled status will normally be charged fees at the ‘International’ rate and will not be eligible for Student Finance England support.

If you are unsure of your fee status, check out the latest guidance.

As a general principle, you should expect the tuition fee to increase in each subsequent academic year of your course, subject to government regulations on fee increases and in line with inflation.

Read more about fees and funding

Scholarships

We support our EU and international students by providing a generous range of Vice-Chancellor's automatic and merit-based scholarships. See our undergraduate scholarship page for more information.

Year abroad and additional costs

For programmes where you can spend a year on a work placement or studying abroad, you will receive a significant fee reduction for that year. 

Some of our degrees involve additional costs which are not covered by your tuition fees.

Scholarships

Find out more about:

• scholarships for UK, EU and international students
• Student Loans and Government financial support for UK and EU students

How to apply

Apply through UCAS

To apply for undergraduate study at Newcastle University, you must use the online application system managed by the Universities and Colleges Admissions Service (UCAS). All UK schools and colleges, and a small number of EU and international establishments, are registered with UCAS. You will need:

• the UCAS name and institution codes for Newcastle University (NEWC/N21)
• the UCAS code for the course you want to apply for
• the UCAS 'buzzword' for your school or college

If you are applying independently, or are applying from a school or college which is not registered to manage applications, you will still use the Apply system. You will not need a buzzword.

Apply through UCAS

International students can apply through an agent

International students often apply to us through an agent. Have a look at our recommended agents and get in touch with them.

Visit our International pages