Computing and Mathematics 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 2024.

This means there are no spaces available for Clearing 2024. 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

Mathematics underpins many aspects of computer science. It combines theoretical problem-solving with practical implementation to tackle complex challenges. This powerful combination of skills are highly sought-after by industry.

Our Computing and Mathematics BSc Honours offers a dynamic mix of computing and mathematics, giving you a deep understanding of both disciplines. You'll see mathematics come to life in cutting-edge areas of computing.

The course is designed to be contemporary and industry-relevant, equipping you with in-demand skills needed by employers in the digital age. You'll graduate ahead of the curve, ready to tackle the challenges of the future.

Customise your degree

In your final year, you'll explore advanced topics in mathematics and customise your degree to your interests.

You can choose to specialise in:

• Artificial Intelligence
• Quantum Information and Computing

Or mix and match modules, and study topics you’re passionate about, including:

• Mathematical Biology
• Game Engineering
• Cryptography

You can also study abroad or take an industrial placement year.

Download information about this course as a PDF

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 2024-25.

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.

Additional information

Flexible degree options

This course offers flexibility. If your interests change during your studies, you can transfer to one of our:

• single honours Mathematics or Data Science BSc degrees after finishing Stage 1
• Computer Science BSc degrees after finishing Stage 2

This is perfect if you have a passion for mathematics and computing, but you’re not sure what you want to study.

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.

Featured module

CSC3133: Quantum Algorithms

In this specialist module, you'll explore quantum computing and its key algorithms, uncovering what makes them so powerful. You’ll learn to design and implement quantum algorithms, as well as how to analyse the output of quantum simulations.

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

In Stage 1, you’ll gain a strong foundation in both computing and mathematics topics.

In computing, you’ll:

• develop fundamental computing techniques
• develop your core programming skills
• design, implement and test computer programs

In mathematics, you’ll explore topics such as:

• calculus
• probability
• statistics
• modelling and algebra

Modules

Compulsory modules

• Programming Portfolio (30 credits)
• Introductory Algebra (20 credits)
• Real Analysis (10 credits)
• Introductory Calculus and Differential Equations (10 credits)
• Introduction to Probability and Statistics (20 credits)
• Number Systems (10 credits)
• Multivariable Calculus (10 credits)
• Dynamics (10 credits)

You’ll build on your skills and progress to more advanced topics in Stage 2 in both computing and mathematics.

You’ll explore subjects such as data science and cyber security. And we’ll introduce you to quantum theory and related areas in mathematics.

Alongside developing strong technical expertise, you'll also build essential professional skills to enhance your employability.

To prepare you for the demands of the industry, you'll collaborate on a software engineering team project that connects you with employers and tackles real-world challenges such as:

• climate change
• sustainable cities
• access to clean water

Modules

Compulsory modules

• Foundations of Data Science (20 credits)
• Security Programming (20 credits)
• Algorithm Design and Analysis (10 credits)
• Software Engineering Team Project (30 credits)
• Linear Algebra (10 credits)
• Algebra (10 credits)
• Principles of Quantum Mechanics (10 credits)
• Differential Equations, Transforms and Waves (10 credits)

You’ll customise your final year to suit your career goals and passions by choosing modules that shape your degree:

• mix and match to create a tailored degree
• specialise with our Artificial Intelligence or Quantum Information and Computing streams

Module highlights include:

• specialised group project, where you’ll bring all your skills together
• education module, where you’ll gain experience in teaching and science communication

Modules

Compulsory modules

• Inter-disciplinary Group Project (20 credits)

Artificial Intelligence stream

If you choose this stream, you must also choose 30 credits from the list of optional modules.

• Biomedical Data Analytics and AI (20 credits)
• Computer Vision and AI (20 credits)
• Introduction to AI (20 credits)
• Matrix Analysis (10 credits)

Quantum Computing and Information stream

If you choose this stream, you must also choose 70 credits from the list of optional modules.

• Quantum Algorithms (10 credits)
• Advanced Quantum Mechanics (10 credits)
• Quantum Information (10 credits)

Optional modules

If you don't choose the Artificial Intelligence or Quantum Computing stream, you must choose 100 credits from this list of optional modules.

• Quantum Algorithms (10 credits)
• Gaming Technologies and Simulations (20 credits)
• Biomedical Data Analytics and AI (20 credits)
• Fault Tolerant and Cyber-Physical Systems (20 credits)
• Computing and Mathematics Education (20 credits)
• Computer Vision and AI (20 credits)
• Introduction to AI (20 credits)
• Foundations of Group Theory (10 credits)
• Linear Analysis (10 credits)
• Coding Theory (10 credits)
• Matrix Analysis (10 credits)
• Number Theory and Cryptography (20 credits)
• Advanced Quantum Mechanics (10 credits)
• Quantum Information (10 credits)
• Variational Methods and Langrangian Dynamics (10 credits)

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 2023-24.

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

Teaching and assessment

Teaching methods

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

• lectures
• small group seminars
• workshops
• hands-on computing labs and practicals
• interactive problem classes

Assessment methods

You'll be assessed through a combination of:

• 

  Assessments

• 

  Case studies

• 

  Coursework

• 

  Examinations – practical or online

• 

  Group work

• 

  Portfolio submission

• 

  Practical sessions

• 

  Projects

• 

  Reflective report/journal

• 

  Reports

Skills and experience

Practical skills

Computing is a very practical subject. You’ll put theory into practice through applied lab classes, modelling software and testing different technologies.

You’ll work on authentic and realistic global challenges, such as:

• healthcare and disease prevention
• ethical AI development
• data privacy
• environmental sustainability

Business skills

The group project will help you develop your employability skills, such as:

• project management
• communicating your ideas and solutions
• team working
• report writing

Some projects will work with an industry client. You’ll get hands-on experience solving real business challenges and building connections that could enhance your future career.

Mathematical problem-solving, analytical thinking, and a strong understanding of data and statistics are essential skills you’ll learn. You can apply them across a wide range of careers and industries.

With expertise in both computing and mathematics, you'll learn to:

• identify the key features of complex problems
• abstract them effectively
• apply the right tools to develop solutions

Research skills

Our teaching is informed by research. Each module is shaped by the latest research and expertise from our academic staff.

For example, in our Quantum Computing and Information stream, you’ll learn how our researchers use quantum mechanics to design technologies that solve real-world problems in communications, metrology, and computing.

Group projects help you develop your own research skills. You will:

• explore your ideas
• experiment with technologies
• find innovative solutions to real-world problems

You'll also review existing work, choose the best approaches, and apply the right mathematical techniques for the task. You'll learn to communicate your ideas effectively and present your findings with clarity and evidence.

Opportunities

Industrial placement year

You can complete a paid industrial placement year in two ways:

• Accredited placement with the School of Computing: You will work in a computing-focused role with any organisation. This placement needs to be approved by the School, but it's a good option if you want to pursue a career in computing.
• University placement: You can choose a placement in any field or industry. This is a good option if you're looking for diverse industry experience, in computing or a different field.

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.

Short-term global opportunities

During your degree, you can get involved in short-term global opportunities with activities ranging from four days to more than eight weeks. Our students have recently taken part in:

• South Korea: First Steps in Programming a Humanoid AI Robot at Seoul National University
• Hong Kong: HKUST International Summer Exchange Program, Summer 2024, at The Hong Kong University of Science and Technology
• Denmark: Business Intelligence from Web Data Analytics and Data Mining at Aarhus University
• Japan: Absolute Internship
• Peru: EcoSwell
• Singapore: Global Impact Start Up Challenge at Singapore University of Social Sciences

Funding is available to support our students who want to take part.

Facilities and environment

Facilities

You’ll benefit from the strengths, expertise and resources from the University’s:

• School of Computing
• School of Mathematics, Statistics and Physics

You’ll split the majority of your study time between the Herschel Building and the Urban Sciences Building. Both buildings have designated study and social spaces.

Herschel Building

Home to the School of Mathematics, Statistics and Physics, you’ll have access to a welcoming learning environment to support your studies. There are extensive IT facilities for teaching and self-study, including our Interactive Learning Lab.

The Herschel Building is next to Newcastle’s high street in the city centre and close to the Students’ Union.

Urban Sciences Building

The School of Computing is based in the £58 million Urban Sciences Building (USB), offering cutting-edge facilities, including:

• cyber-physical systems laboratory
• games laboratory
• state-of-the art computer labs
• 315 PCs with a Raspberry Pi3 on every desk

The USB is a flagship development located on the £350 million Newcastle Helix regeneration site in the heart of Newcastle. It brings together:

• academia
• businesses
• industry

Support

Wellbeing and inclusivity are at the heart of our Schools values. Both Schools have their own School Wellbeing Advisor.

You'll also be assigned a Peer Mentor to help you in your first year. They are fellow students who can help you settle in and answer any questions you have when starting university.

The USB has several wellbeing spaces for students, including:

• The Retreat: A sensory space with relaxing stimuli to distract from busy student life.
• Wellbeing room: Designed for relaxation and quiet time. Here you can take a moment to breathe and unwind. It can also be used by students with special medical requirements.
• Prayer room: For all faiths and none, this space can be used for prayer or quiet reflection.

The School of Computing also organises a range of wellbeing activities throughout the year.

Academic support

You'll be assigned an academic tutor, who will support you throughout your degree. 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 societies, including Maths Society and Computing and Technology Society
• homework classes to help with assignments

Numbas learning software

You'll have access to a specialist learning software called Numbas. Developed at Newcastle University, it's now used by mathematicians and statisticians worldwide.

This innovative software allows you to work on interactive code worksheets, so you can test and refine your skills throughout your course.

Your future

Your career

The world, and industry, is becoming more and more digital.

Computing and mathematics are a valued combination in today’s industries. You’ll apply the skills and techniques from this course in a wide range of industries.

You’ll graduate with unique skills in modern and emerging technologies. You'll have a competitive edge with a range of career opportunities.

If you specialise in AI or quantum computing, you’ll be prepared to join businesses exploring and implementing these technologies.

After graduation, you'll be ready to explore many career paths, including:

• codebreaking
• intelligence
• quantum technology
• cyber security
• disease prevention
• smart transportation
• climate change

Further study

This degree provides a pathway to Master's and PhD-level study in a variety of fields. This depends on the optional modules you choose.

As a Computing and Mathematics graduate, you can pursue advanced research in:

• artificial intelligence and machine learning
• quantum computing
• data science and big data
• applied mathematics
• robotics
• computational finance
• mathematical optimisation
• computational biology

Strong industry links

The School of Computing and School of Mathematics, Statistics and Physics both have strong industry connections. They’re each supported by an Industrial Advisory Board, with experts from various fields.

The board guides our curriculum and offers valuable career opportunities for our students.

We have connections with:

• Meta
• Accenture
• JP Morgan
• DXC Technology
• PwC
• P&G
• Airbus
• Sage Plc
• NHS
• Atom Bank
• Rockstar Games

Through our connections, we organise activities such as:

• guest lectures
• industry-focused group projects
• careers and subject fairs
• student prizes sponsored by industry
• skill workshop delivered by industry and alumni

Careers support

Our award-winning 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

From 1 January 2021 there is an update to the way professional qualifications are recognised by countries outside of the UK

Tuition fees and scholarships

Tuition fees for academic year 2025-2026

See our ‘Home Fee Students’ and ‘International Fee Students’ information below for more information on tuition fee levels, fee status and inflationary fee increases.

Qualification: BSc Honours
Home students full time 3 years	Tuition fees (Year 1) £9,535
International students full time 3 years	Tuition fees (Year 1) 30600

Home Fee Students

Home students starting in 2025 entry

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.

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 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

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