Metadata
Title
Data Science BSc Honours
Category
undergraduate
UUID
bff30a98d67f4eedbb8a83b4cffa4fb7
Source URL
https://www.ncl.ac.uk/undergraduate/degrees/g200/
Parent URL
https://www.ncl.ac.uk/undergraduate/subjects/maths/
Crawl Time
2026-03-19T01:16:08+00:00
Rendered Raw Markdown

Data Science BSc Honours

Source: https://www.ncl.ac.uk/undergraduate/degrees/g200/ Parent: https://www.ncl.ac.uk/undergraduate/subjects/maths/

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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. Please contact our friendly advisers to find out if you’re eligible for a place. You can get in touch through our hotlines: 

Not available in Clearing \ \ This course is not available in Clearing 2025. \ \ This means there are no spaces available for Clearing 2025. 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

[## Undergraduate Open Day

Start your university journey. Find where you belong. Friday, June 26 (9:00-16:00) Saturday, June 27 (9:00-16:00)](https://www.ncl.ac.uk/study/meet/undergraduate-open-day/ )

Course overview

Data science is an interdisciplinary and emerging field. It combines mathematics and computing to analyse large and complex data sets.

Our degree will give you the skills to turn data into meaningful outcomes. You'll learn to use your analytical and computational skills to interpret, clean, and visualise data confidently.

We've worked with the National Innovation Centre for Data (NICD) to create our Data Science BSc degree. This Centre of Excellence is at the forefront of:

NICD has shaped our curriculum with their real-world and industry-focused approach. You'll graduate with expertise in the most relevant and innovative data science topics. You'll learn and work alongside leading practitioners in data science.

Through NICD, you'll have extensive access to real-world data, immersing yourself in real-world data science applications. NICD works with external organisations to transform their business using data science methods, tools and techniques.

You'll develop bespoke data science skills and build a strong foundation in mathematics and computer science, through:

You'll have the option to take a paidindustry placement or study abroad year.

By the end of your degree, you'll be ready for a career in this emerging and rewarding job sector.

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Your course and study experience - disclaimers and terms and conditions\ Please rest assured we make all reasonable efforts to provide you with the programmes, services and facilities described. However, it may be necessary to make changes due to significant disruption, for example in response to Covid-19.\ \ View our Academic experience page, which gives information about your Newcastle University study experience for the academic year 2025-26.\ \ See our terms and conditions and student complaints information, which gives details of circumstances that may lead to changes to programmes, modules or University services.

Quality and ranking

Professional accreditation and recognition

All professional accreditations are reviewed regularly by their professional body.

Modules and learning

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.

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.

Optional module availability\ Student demand for optional modules may affect availability.\ \ 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.\ \ To find out more please see our terms and conditions

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:

You'll also study a module delivered by NICD. You'll work as a team 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 A 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
Mathematical Biology 10

In Stage 3, you'll continue to take part in masterclasses run by NICD. 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:

Modules

Compulsory Modules Credits
Computer Vision & AI 20
Foundations of Machine Learning 10
Statistical Modelling 10

You also undertake the following compulsory modules:

Compulsory modules Credits
Data Innovation Bootcamp 10
Frontiers in Data Science B 10
Data Science Group Project 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
Group Theory 10
Linear Analysis 10
Matrix Analysis 10
Metric Spaces and Topology 10
Number Theory and Cryptography 20
Measure Theory 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
Mathematical Biology 10
Variational Methods and Lagrangian Dynamics 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 2024-25.

Teaching time is made up of:

Teaching and assessment

Teaching methods

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

Modules taught by NICD will take an experiential learning approach. This means you'll learn by doing. You'll use ideation and the innovation process to solve real-world problems. Approaches include:

During flipped learning, you’ll research a topic and report back to subject experts.

Throughout the course, you'll develop an open-source portfolio. You'll use it to track and showcase your skills and expertise to future employers.

Assessment methods

You'll be assessed through a combination of:

Skills and experience

Practical skills

The field of data science presents new and unique problems. We’ll teach you how to use your knowledge and skills to tackle these challenges and find solutions.

This degree will give you the skills employers, across the globe, are looking for.

You'll take part in bootcamps at NICD, developing your research and presentation skills. You'll work alongside technical experts and industry professionals.

You'll also develop experimental, analytical, and research skills through computational and project-based modules.

You’ll have access to our state-of-the-art facilities, including:

The Catalyst hosts a dynamic community of businesses and research specialists. It's also the home of NICD.

Business skills

This hands-on degree will give you the skills to start a career in data science after graduation.

NICD will lead part of your teaching in Stages 2 and 3. You’ll work alongside businesses, using their data to solve real problems. This will help you learn the language of business. This is a great opportunity to improve your portfolio and CV with examples of industry collaborations.

In Stage 3, you'll take part in an industry-focused group project. You'll develop your teamwork and practical skills, preparing you for the world of work. You’ll explore the ethics of data and the modern application of data science in the real world. The group project will help you develop communication skills and confidence in explaining technical concepts to non-experts.

Research skills

Your teaching will be research-led, informed by the latest research findings from the:

The course is delivered in collaboration with NICD. You'll have access to a Centre of Excellence at the forefront of data science, AI and industrial engagement. Your learning will be informed by real-world applications of data science.

You'll develop research skills during the Group Project in Stage 3. As part of this module, you'll need to:

Student stories

My Personal Tutor was always helpful, not only with any academic queries but also with any mental health concerns, which I really appreciated.

Read about Antonia's experience studying Mathematics BSc

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.

Facilities and environment

Facilities

You'll join the School of Mathematics, Statistics and Physics based in the Herschel Building.

A state-of-the-art learning environment will support your studies and you'll have access to extensive IT facilities for teaching and self-study, including:

The Herschel Building also has dedicated study and social spaces, and a computing area.

Previous

The Herschel Building is home to the School of Mathematics, Statistics and Physics.

Inside of the Urban Sciences Building.

Next

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:

Transition Officer

A dedicated staff member is here to support you in transitioning from school to university study.

The Transition Officer works with Stage 1 undergraduates to provide:

You'll also benefit from our:

Your future

Data science graduates report earning an average salary of £32,000 on graduation.

Possible job roles for data science graduates include:

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

We've partnered with NICD to deliver this Data Science BSc degree. Through their industry connections, you'll grow your network in business and data science. NICD’s customers include organisations and businesses across a range of expertise. These include:

We're also partners with The Alan Turing Institute, the UK's national institute for AI and data science.

You'll also benefit from industry links from the School of Computing and the School of Mathematics, Statistics and Physics.

The schools have a dedicated employability facilitator. They'll organise industry talks, visits and opportunities to network throughout the programme.

Employability at Newcastle

96% of Newcastle University graduates progressed to employment or further study within six months of graduating, with 85.5% in graduate-level employment or further study.

Statistics are based on what graduates were doing on a specific date, approximately six months after graduation (Destinations of (undergraduate and postgraduate UK domiciled) Leavers from Higher Education Survey 2016/17).

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:

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

Recognition of professional qualifications outside of the UK

If you’re studying an accredited degree and thinking about working in Europe after you graduate, the best place to find current information is the UK Government’s guidance on recognition of UK professional qualifications in EU member states. This official resource explains whether your profession is regulated in another country, what steps you need to take, and which organisation you should contact.

Entry requirements

All candidates are considered on an individual basis and we accept a broad range of qualifications.

The entrance requirements and offers below apply to 2026 entry. 

A-Level
AAB including grade A in Mathematics OR ABB including grade A in Mathematics AND one A level from: Further Maths, Biology, Chemistry, English Literature, Geography, History, Physics and Modern/Classical Languages or grade 2 in any STEP paper. We do not accept General Studies and Critical Thinking as one of the three A level grades. Equivalent grades will be considered on a case-by-case basis.
International Baccalaureate
34 points with Mathematics Analysis and Approaches at Higher Level grade 6.

Other UK and the Republic of Ireland qualifications

Select your qualification Scottish QualificationsIrish Leaving CertificateAccess QualificationsCambridge Pre-UExtended Project QualificationInformation for all ApplicantsBTEC Nationals/Cambridge TechnicalsT Level

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Alternative offers at Newcastle

Through one of our contextual or alternative offer routes, you could receive an offer of up to three grades lower than the typical requirements.

Check your eligibility

Select your alternative offer A Levels with PARTNERSScottish Qualifications with PARTNERSBTEC Nationals/Cambridge Technicals with PARTNERSContextual OfferRealising Opportunities OfferScottish Highers With Pathways To NewcastleA Levels With Pathways To Newcastle

Contextual offers

We use certain contextual data from your UCAS form, alongside your application, to consider challenges that you may have faced in your education and the potential effect this may have had on your qualifications. This means you may be eligible to receive a lower contextual offer.

PARTNERS offers

One of the largest and longest support entry routes to university of its kind for students from underrepresented backgrounds. We support applicants from application through to study.

Realising Opportunities offers

A unique programme delivered in collaboration with 10 leading, research-intensive universities in the UK. The programme is open to students in Year 12/first year of college.

Pathways to Newcastle offers

Pathways to Newcastle, our national skills entry route, is available for specific subject areas.

High Performance Athletes

We support promising athletes at the application stage, who compete in regional, national or international levels in their sport.

Qualifications from outside the UK

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English Language requirements

Select your qualification IELTSTOEFLPearsonsDuolingo English TestOther

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Entrance courses (INTO)

International Pathway courses are specialist programmes designed for international students who want to study in the UK. We provide a range of study options for international students in partnership with INTO.

These courses are specifically designed for international students who want to study in the UK and progress onto one of our undergraduate degrees. Our International Study Centre, has a range of study options including:

Find out more about International Pathway courses

Admissions policy

This policy applies to all undergraduate and postgraduate admissions at Newcastle University. It is intended to provide information about our admissions policies and procedures to applicants and potential applicants, to their advisors and family members, and to staff of the University.

University Admissions Policy and related policies and procedures

Credit transfer and Recognition of Prior Learning

Recognition of Prior Learning (RPL) can allow you to convert existing relevant university-level knowledge, skills and experience into credits towards a qualification. Find out more about the RPL policy which may apply to this course.

Tuition fees and scholarships

Tuition fees for academic year 2026-2027

The 2026 entry home fees have not yet been confirmed.

Qualification: BSc Honours Full time
Home students Full time: 3 years Tuition fees (Year 1) Not Set
International students Full time: 3 years Tuition fees (Year 1) £26,400

Home Fee Students

Tuition fees are payable for each year of your course. £9,535 is the maximum fee that we are permitted to charge for home fee-paying students for the academic year 2025-26. This is set by the UK government. This fee has not yet been confirmed for 2026-27.

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 here.

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 spenda 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:

Open days and events

UK open days

You'll have a number of opportunities to meet us throughout the year at our on-campus and virtual open days.

You'll be able to:

You'll also have the opportunity to speak to academic staff and find out more about the subjects you're interested in.

Find out about how you can visit Newcastle in person and virtually.

Worldwide events

We regularly travel overseas to meet with students interested in studying at Newcastle University. Visit our events calendar to find out when we're visiting your region.

Online events

Visit our events calendar for the latest virtual events

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:

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

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

Get in touch

By phone

Call us on +44 (0) 191 208 3333 and press option 1. Our opening hours are Monday to Friday 10am until 4pm.

Live chat

Our NCL chatbot might be able to give you an answer straight away. If not, it’ll direct you to someone who can help.

You'll find our NCL chatbot in the bottom right of this page.

Online

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