Computer Science with Artificial Intelligence MSci/BSc (Hons)

Undergraduate
Degree with foundation year

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With recent advancements in AI technology (e.g. ChatGPT), this course covers the practical skills and theoretical knowledge you need if you hope to be successful in this fast-paced, ever-changing industry.

Course option

Degree with foundation year

Year of entry

2025-26 2026-27

Location

Coventry University (Coventry)

Study mode

Full-time
Sandwich

Duration

BSc:
3 years full-time
4 years sandwich
MSci:
4 years full-time
5 years sandwich
Condensed first year available

UCAS codes

G401 / G402

Start date

September 2025
January 2026 - condensed

How to apply

Book an Open Day

Download a prospectus

Course overview

The Computer Science with Artificial Intelligence (AI) course aims to equip you with all the knowledge and skills you need to become an AI specialist in the computing industry.

You will:

explore artificial intelligence and its relationship to machine learning, parallel programming, and data science, and learn how these areas drive innovation and change in the domain of computer science
master the practical skills and theoretical knowledge to develop software solutions that address demanding user expectations and complex customer requirements
gain industry-relevant experience² as you apply real-world, software development practices within teams of your peers, preparing you for your AI specialist career after graduation.

The January start for this course is condensed in Year 1. Please see the ‘How you’ll learn’ section below for more details.

Rated Gold Overall

Teaching Excellence Framework (TEF) 2023

5 QS Stars for Teaching and Facilities

QS Stars University Ratings

Top 5 Student City in England (Coventry)

QS Best Student Cities Index 2025

Why you should study this course

Activity-led learning helps you consolidate what you are taught through practical application of everything covered in lectures.
Opportunity to spend a year on industrial placement².
Strong, professional skills focus.
Hybrid, online and asynchronous learning, to support students with different needs across a range of locations.
Free-to-attend guest lecturers from current practitioners² which, in previous years, have included senior professors from Sheffield, Lincoln and Birmingham universities and the European Bioinformatics Centre Cambridge (subject to availability).

If you choose to start this course in January you will study exactly the same course but over a slightly shorter timescale in Year 1. This is ideal if you missed the September start, want to transfer from a different university or course or just need a bit more time to prepare for life at university.

What you'll study

In the first year, the curriculum is shared across related courses allowing you to gain a broad grounding in the discipline before going on, in the second and third years, to specialist modules in your chosen field.

The common first year enables you to work alongside students doing similar courses to you, to widen your knowledge and exposure to other subject areas and professions. You will have the opportunity to collaborate with other students, so you can share your insights and experience which will help you to develop and learn.

If you discover an interest in a specific subject you have studied, upon successful completion of your first year, you could swap degrees with another course in your common first year (subject to meeting progression requirements).

Common first-year courses

Information Technology Management BSc (Hons)
Interactive Media and Web Technologies BSc (Hons)
Software Engineering BSc (Hons)

Modules

Programming: Concepts and Algorithms - 20 Credits

In this module, you’ll be introduced to these programming fundamentals through an accessible and industry-favoured programming language. You’ll explore algorithms – what they are, why they’re important and how to use them – and you’ll combine this with your programming skills to write your own programmes.

Compulsory

Computer Systems - 20 Credits

Any developer needs a fundamental understanding of the machine, with all its complex, moving parts. This module introduces you to these concepts, taking them from the concept of computation to the twitching transistors which drive its implementation. The concept of the Operating System (OS) is introduced which will empower you to begin your journey as a developer.

Compulsory

Working with Data - 20 Credits

The technologies, ethics and laws behind database processes are a fascinating and fundamental element of software development in the twenty-first century.

In this module, you’ll explore all these concepts, mastering the elements of data handling, storage, and management which you’ll have to apply in later study.

Compulsory

Mathematical Skills for Computing Professionals - 20 Credits

Whenever we write software, we are writing algorithms and algebra – and to write them correctly, we need a firm grip of the maths which underpins them. In this module, you’ll gain that understanding, exploring subjects like set theory, algorithms and complexity, and logical arithmetic.

Compulsory

Programming: Professional Practice - 20 Credits

This module builds upon the skills you developed in 'Concepts and Algorithms'. You will be introduced to new ideas such as object-orientation, and designing reusable code, and you’ll explore them using another industry-favoured programming language. You’ll be taught to structure your code in a way which makes it easy to follow, maintain, and extend, equipping you for the next stage of your software development studies.

Compulsory

Integrative Project Module - 20 Credits

The Integrative Project module adopts an activity-led approach to learning, where you’ll work in a team to plan and execute a project related to your course. The project provides you a vital opportunity to consolidate and apply what you’ve learned during your first year of study, as well as develop new technical and team-working skills.

Compulsory

In your second year, you will develop more advanced knowledge and skills in relation to artificial intelligence, theory of computation and software engineering, amongst others.

Modules

Artificial Intelligence - 20 Credits

In this module you’ll aim to gain a comprehensive understanding of modern artificial intelligence concepts and applications. Ultimately, you’ll seek to build a portfolio of solutions which address artificial intelligence challenges, as you navigate areas such as knowledge representation, reasoning, and how human factors impact the field of AI.

Compulsory

Theory of Computation - 20 Credits

You’ll be guided through some of the more challenging topics in computing such as formalisation of languages, models of computation, and the nature of computability. Ultimately, this module aims to empower you to assess whether a problem has a computable solution – or one that you can compute before the sun expands to engulf the Earth.

Compulsory

Advanced Algorithms - 20 Credits

This module aims to expand your insights into advanced programming techniques and complex data structures. You’ll look to become familiar with strategies to address the computational complexity of the problems you’re trying to solve, empowering you to write more sophisticated, and more efficient, software solutions.

Compulsory

Operating Systems, Security, and Networks - 20 Credits

What is an OS, and what does it do? These two questions are the focus of this module, where you’ll become familiar with the way the operating system you use every day is structured, why it’s structured that way, and how it works. Additionally, the module introduces the idea of networked computer systems and the accompanying security concepts, exploring topics such as cryptography, user authentication, socket programming and network protocols.

Compulsory

Data Science - 20 Credits

Picking up where Working with Data left off, this module equips you with the skills and tools you need to explore the world of Big Data. You’ll explore concepts such as predictive modelling, data wrangling, sampling and analysis. You’ll also explore the complex subject of data visualisation, and how you can use visualisation techniques to make the results of your data analysis understandable to every audience.

Compulsory

Software Engineering - 20 Credits

This module introduces you to several industry-standard practices which underpin effective and efficient software engineering to meet the exacting quality standards. You’ll undertake a real-world software development project, evaluating and selecting the best tools for the task at hand while employing common professional practices such as configuration management and version control. You’ll aim to develop an exhaustively tested, highly polished software deliverable to demonstrate your skills to prospective employers.

Compulsory

There’s no better way to find out what you love doing than trying it out for yourself, which is why a work placement² can often be beneficial. Work placements usually occur between your second and final year of study. They’re a great way to help you explore your potential career path and gain valuable work experience, whilst developing transferable skills for the future.

Modules

UK Work Placement– 0 credits

This module² provides you with an opportunity to reflect upon and gain experience for an approved placement undertaken during your programme. A placement should usually be at least 26 weeks or equivalent; however, each placement will be considered on its own merits, having regard to the ability to achieve the learning outcomes.

Optional

International Study/Work Placement – 0 credit

This module² provides you with an opportunity to reflect upon and gain experience for an approved international study/work placement undertaken during your programme. A work/study placement should usually be at least 26 weeks or equivalent; however, each placement will be considered on its own merits, having regard to the ability to achieve the learning outcomes.

Optional

In this final year, you will develop more advanced knowledge and skills to do with security, machine learning and group project discovery, amongst others.

Modules

Security - 20 Credits

This module dives into the subject of computer security in depth. You'll be introduced to the concepts and practical considerations of creating and evaluating secure computer systems. In addition to the technical issues involved, you’ll also explore security legislation and the regulations which apply to associated products and services.

Compulsory

Machine Learning - 20 Credits

Building on your existing knowledge of artificial intelligence, this module dives into the broad field of machine learning. You’ll learn the difference between supervised and unsupervised machine learning, what an artificial neural network is and when best to deploy one to solve a problem, and how to analyse the effectiveness of a wealth of machine learning algorithms when applied to actual data.

Compulsory

Robots and Intelligent Agents - 20 credits

Modern computing applications often use agents and robots to automate some of their functionality. The module will explore the ways in which robots and agents are constructed and integrated into advanced distributed systems. You'll cover relevant techniques and will consider examples of the use of robots and agents.

Compulsory

Artificial Neural Networks - 20 credits

Neural networks are computational models how the human brain works. They have been successfully used in a wide range of applications including image processing, bioinformatics, emotion recognition, and robotics. This module provides an introduction to the concepts used in neural networks and their application to solving real-world problems.

Compulsory

Project Discovery - 20 Credits

You will complete a project which is defined and driven by you, bringing your interests and learning together to produce a showcase for your skills. Working with an allocated subject specialist supervisor, the Project Discovery module is designed to equip you with the research and project management skills to define, propose and start work on, a substantial computer science project of your choosing.

Compulsory

Dissertation and Project Artefact - 20 Credits

Working with an allocated subject expert as supervisor, you will deliver a project dissertation together with a project artefact, usually an advanced piece of software. This module is designed to give you the experience to self-manage project development, evaluation and successful delivery to a self-defined brief, allowing you to produce a substantial piece of work that brings together your learning over the course of the degree.

Compulsory

If you meet the criteria, you could choose to take an additional fourth year master's option (subject to additional fees – please refer to the Tuition Fees section for further information), which will deepen your knowledge and expertise. The MSci year aims to consolidate and strengthen the skills you’ve developed over the course of your first three years of study. Building on your existing knowledge, you’ll explore a series of highly advanced subjects in the field of Computer Science with AI which lie beyond the scope of undergraduate study, from Computer Vision to Web Applications and AI, equipping you to undertake employment or postgraduate research at the leading edge of digital technology.

Modules

Individual Research Project Preparation - 15 Credits

In this module, you will identify a topic suited for a substantial piece of research into an area connected to the discipline of computer science. You'll exercise and extend your skills in gathering, understanding and critically evaluating literature; assessing and acting on relevant ethical and legal issues, and applying planning processes for the undertaking of a significant piece of work. This should culminate in the production of a well-structured project plan.

Compulsory

Individual Research Project - 15 Credits

Computer Vision - 15 Credits

Computer vision (CV) is the field that allows smartphones to identify where to focus an image, or a social media app to identify the face of someone in a photograph. In this module, you’ll be introduced to the models, algorithms and hardware involved in building CV applications from scratch using commonly employed APIs. Crucially, you’ll be taught how to select the right tool for the job, depending on the purpose of the CV problem you’re trying to solve.

Compulsory

Natural Language Processing - 15 credits

Natural language processing (NLP) makes it possible for computers to recognise, process and respond appropriately to human speech and text. The aim of this module is to give students an understanding of, and ability to use, automated methods for processing text, and to introduce NLP solutions for a wide range of real-world applications on pure text data.

Compulsory

Modelling and Optimisation under Uncertainty - 15 credits

Web Applications and AI - 15 credits

This module is about how web applications can be supported and enhanced using AI techniques, for example to improve customer services or predict and respond to user needs. This module concerns the practical development of AI-enhanced web applications as well as the range of approaches possible.

Compulsory

Information Retrieval - 15 credits

Big Data Management and Data Visualisation - 15 credits

Organisations and businesses are being inundated with very large volumes of data - structured and unstructured - daily. This data is too big and complex for processing and analysing using well-known traditional methods. This module aims to introduce you to the current management and visualisation methods for Big Data. Innovative techniques will be taught which should enable you to discover patterns, relationships and associations in big data sets.

Compulsory

We regularly review our course content, to make it relevant and current for the benefit of our students. For these reasons, course modules may be updated.

How you'll learn

Our teaching is active, applied, social and inclusive. We work interactively to address your needs as an individual and support you to maximise your outcomes.

If you choose to start this course in January it will be run as a condensed programme. You’ll start your course in January and finish your first year in August. Upon successful completion of Year 1, you will progress onto Year 2 in September and then continue to start subsequent years of your course in September, completing your degree at the same time as the September starters unless you opt to do a placement year.

Teaching contact hours

As a full-time undergraduate student, you will study modules totalling 120 credits each academic year. A typical 20 credit module requires a total of 200 hours study. This is made up of teaching contact hours, guided and independent study.

Teaching hours:

Teaching hours vary each semester, year of study and due to module selection. During your first year you can expect 15-18 teaching hours each week. You will also have the option to attend optional sessions including time with a progress coach or to meet with staff for advice and feedback. As you progress through your studies, teaching hours may reduce.

Guided and independent study:

Throughout your studies, you will be expected to spend time in guided and independent study to make up the required study hours per module. You’ll be digging deeper into topics, review what you’ve learned and complete assignments. This can be completed around your personal commitments. As you progress through your studies, you’ll spend more time in independent study.

Online learning:

As an innovative university, we use different teaching methods including online tools and emerging technologies. So, some of your teaching hours and assessments may be delivered online.

Assessment

This course will be assessed using a variety of methods which will vary depending upon the module.

Assessment methods may include:

individual coursework
group coursework
exams
tests
essays
presentations
reports
projects
vivas
core assessments (these are pass/fail and can be attempted multiple times).

The Coventry University Group assessment strategy ensures that our courses are fairly assessed and allows us to monitor student progression towards achieving the intended learning outcomes.

International experience opportunities

The degree aims to offer access to a range of international experiences² including:

COIL projects – online internationalised learning, working with university students based in other countries (subject to availability).
Field trips – short trips of one or two weeks to visit other countries for cultural and learning experiences.
Study abroad optional extra year – live and study abroad for a year between your second and final years.

Please note that all international experience opportunities may be subject to additional costs, competitive application, availability, and meeting applicable visa and travel requirements, and are therefore not guaranteed².

Entry requirements

Typical entry requirements:

Requirement	What we're looking for
UCAS points	BSc (Hons): 120 MSci: 128
A level	BSc (Hons): BBB to include one from Mathematics, Physics, Chemistry, Further Mathematics, Computer Science, Computing or Design Technology. Excludes General Studies. MSci: ABB to include one from Mathematics, Physics, Chemistry, Further Mathematics, Computer Science, Computing or Design Technology. Excludes General Studies.
GCSE	BSc (Hons): GCSE maths and English at grade 4 / C or Functional Skills Level 2, or other equivalent Level 2 awards. MSci: GCSE maths and English at grade 4 / C or Functional Skills Level 2, or other equivalent Level 2 awards.
BTEC	BSc (Hons): DDM in IT or a technical subject. MSci: DDD in IT or a technical subject.
IB Diploma	BSc (Hons): 29 to include one from Mathematics, Physics, Chemistry, Design Technology or IT at Higher level. MSci: 31 to include one from Mathematics, Physics, Chemistry, Design Technology or IT at Higher level.
Access to HE	BSc: The Access to HE Diploma to include 30 Level 3 credits in either Mathematics, Physics, Computer Science or Statistics. Plus GCSE English Language and Mathematics at grade 4 / C or above. MSci: The Access to HE Diploma to include 30 Level 3 credits all at merit or above in either Mathematics, Physics, Computer Science or Statistics. Plus GCSE English Language and Mathematics at grade 4 / C or above.

Other qualifications and experience

Our students come from a variety of backgrounds, each with a unique story. We recognise a breadth of qualifications. If your qualifications differ from the above, contact our Admissions Team who will be happy to discuss your qualifications and routes into your chosen course.

Contextual offers and Fair Access Scheme

If you meet the criteria for our Fair Access Scheme, you could automatically receive a contextual offer that may be up to 24 UCAS points lower than our standard entry requirements. View the criteria for our Fair Access Scheme.

Select your region to find detailed information about entry requirements:

You can view our full list of country specific entry requirements on our Entry requirements page.

If you do not have the typical entry requirements, you may want to consider studying this course with an international foundation year. Upon successful completion our International Foundation Year - Computing will provide you with the knowledge and skills you need to progress onto this undergraduate degree.

Alternatively, visit our International hub for further advice and guidance on finding in-country agents and representatives, joining our in-country events and how to apply.

English language requirements

IELTS: 6.0 overall, with no component lower than 5.5

If you don't meet the English language requirements, you can achieve the level you need by successfully completing a pre-sessional English programme before you start your course.

For more information on our approved English language tests visit our English language requirements page.

Not got the required grades? We offer this degree with an integrated foundation year.

Fees and funding

Student	Full-time	Part-time
UK, Ireland*, Channel Islands or Isle of Man	£9,535 per year	Not available
EU	£9,535 per year with EU Support Bursary £19,850 per year without EU Support Bursary	Not available
International	£19,850 per year	Not available

If you choose to study this course with a professional placement² or study abroad year, you will need to pay a tuition fee³ to cover your academic support throughout your placement year. Students commencing their professional placement in the academic year 2027/28 will pay £1,500 if they are paying UK fees, or £1,800 if they are paying international fees.

For advice and guidance on tuition fees and student loans visit our Undergraduate Finance page and see The University’s Tuition Fee and Refund Terms and Conditions.

The University will charge the tuition fees that are stated in the above table for the first Academic Year of study. The University will review tuition fees each year. For UK (home) students, if Parliament permits an increase in tuition fees, the university may increase fees for each subsequent year of study in line with any such changes. Note that any increase is expected to be in line with inflation.

If you choose to study this course with a professional placement, the University will charge the tuition fees stated above for those on a placement during Academic Year 2027/28. The University will review professional placement tuition fees each year. For UK (home) students, the University may increase fees for each subsequent year of study, but such that it will be no more than 5% above inflation.

For international students, we may increase fees each year, but such increases will be no more than 5% above inflation. If you defer your course start date or have to extend your studies beyond the normal duration of the course (e.g. to repeat a year or resit examinations) the University reserves the right to charge you fees at a higher rate and/or in accordance with any legislative changes during the additional period of study.

We offer a range of International scholarships to students all over the world. For more information, visit our International Scholarships page.

Tuition fees cover the cost of your teaching, assessments, facilities and support services. There may be additional costs not covered by this fee such as accommodation and living costs, recommended reading books, stationery, printing and re-assessments should you need them. Find out what's included in your tuition costs.

The following are additional costs not included in the tuition fees:

Any optional overseas ﬁeld trips or visits: £400+ per trip.
Any costs associated with securing, attending or completing a placement (whether in the UK or abroad).

Condensed course – January start date

If you choose to start this course in January please make sure you check the Fees and Finance page for more information. Although starting this course in January does not prohibit you from being eligible for student finance, the way it is paid in your first year differs from those who start their course in September.

If you start the course in January, your tuition fees will be paid in accordance with the university’s Tuition Fees, Refund and Withdrawal Terms and Conditions for January starters and for any further years of study, your fees will be paid in accordance with the terms for September starters.

*Irish student fees

The rights of Irish residents to study in the UK are preserved under the Common Travel Area arrangement. If you are an Irish student and meet the residency criteria, you can study in England, pay the same level of tuition fees as English students and utilise the Tuition Fee Loan.

**EU Support Bursary

Following the UK's exit from the European Union, we are offering financial support to all eligible EU students who wish to study an undergraduate or a postgraduate degree with us full-time. This bursary will be used to offset the cost of your tuition fees to bring them in line with that of UK students. Students studying a degree with a foundation year with us are not eligible for the bursary.

How do you know if you need to pay UK or international tuition fees?

We carry out an initial fee status assessment based on the information you provide in your application. Your fee status determines your tuition fees, and what financial support and scholarships may be available to you. The rules about who pays UK (home) or international (overseas) fees for higher education courses in England are set by the Department for Education. The regulations identify all the different categories of student who can insist on paying the home rate. The regulations can be difficult to understand, so the UK Council for International Student Affairs (UKCISA) has provided fee status guidance to help you identify whether you are eligible to pay the home or overseas rate.

If you meet all the criteria required by any one category, including any residence requirements, your institution must charge you the home rate. You only need to find one category that you fit into.

Facilities

Your studies will be centred in high-specification learning environments that benefit from extensive social learning facilities, well-appointed laboratories, lecturing facilities and classrooms, facilitating our innovative teaching methods across a diverse suite of courses⁴.

Facilities are subject to availability. Access to some facilities (including some teaching and learning spaces) may vary from those advertised and/or may have reduced availability or restrictions where the university is following public authority guidance, decisions or orders.

Male student working at a computer having server racks on the background

Cisco lab

The Cisco lab is used for working with general networking and towards accreditation by Cisco. Optional modules allow students to work in the lab to develop skills in preparation for the Cisco certification exam.

Abstract of neuro links with flares coming out of atoms

Virtual labs

Our virtual labs provide a cutting-edge environment to create entire virtual networks, complete with services, users and even attackers. Students can access this environment from anywhere on or off campus.

Adult student working on a computer while having a screen in the background

Games Technology lab

This lab contains high-end gaming PCs with the capacity to run industry standard games engines and programming environments. It also supports Virtual Reality (VR) game development.

Careers and opportunities

The Computer Science with AI degree can equip you with the knowledge, technical skills, and professional skills for a career in the computing industry as an AI specialist.

Upon successful completion of the degree, you will be able to:

program - you will create working solutions to a variety of computational and real-world problems using an appropriate programming language (or languages) for the task
think computationally - you will be able to create, develop and evaluate algorithms, and measure and optimise algorithm complexity
develop software - you will develop a product from the initial stage of requirements all the way through development to its final stages of testing and evaluation
solve problems in a range of key application areas including web and app development, machine learning, data science and artificial intelligence
work professionally - you will understand the professional practice of technical, social, ethical and legal responsibilities
think critically, contribute confidently, communicate effectively and collaborate collegiately.

Computer science is changing the world and AI is a key part of this. Technologies produced by computer scientists now support and enhance all areas of our modern lives, from e-commerce, through social networking, to smart cars. These areas increasingly use AI to gather, interpret and learn from data to produce intelligent solutions. The Computer Science with AI degree teaches the required skills, and, equipped with them, you’ll be able to pursue an AI specialist career in the computing industry.

Further study

The Computer Science with AI degree includes an optional MSci year. Alternatively, the BSc (Hons) degree serves as a basis for a range of standalone master’s degrees, both at Coventry University, nationally and internationally. It might also be possible to take a PhD (all subject to meeting all progression requirements).

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How to apply

BSc (Hons) with foundation year

Apply via UCAS

C85

Institution code

View our courses on UCAS

Visit UCAS

UK students

Full-time students can apply for this course through UCAS. Read our application pages to find out your next steps to apply.

How to apply

Apply via UCAS

If this course has a part-time option you will need to apply directly to the university.

Apply via the portal

If you'd like further support or more information about your course get in touch with us today.

+44 (0)24 7765 2222

ukadmissions@coventry.ac.uk

Complete our contact form

International students

International codes:
BSc: EECU154
MSci: EECU155

How to apply

For further support for international applicants applying for an undergraduate degree view our International hub.

You can also download our International mini guide for an overview of study options and why you should study with us.

Get in touch with us today for further advice and guidance.

+44 (0)24 7765 2152

ioadmissions@coventry.ac.uk

Complete our contact form

Disclaimers

Coventry University together with Coventry University London, Coventry University Wrocław, CU Coventry, CU London, CU Scarborough, and Coventry University Online come together to form part of the Coventry University Group (the University) with all degrees awarded by Coventry University.

¹Accreditations

The majority of our courses have been formally recognised by professional bodies, which means the courses have been reviewed and tested to ensure they reach a set standard. In some instances, studying on an accredited course can give you additional benefits such as exemptions from professional exams (subject to availability, fees may apply). Accreditations, partnerships, exemptions and memberships shall be renewed in accordance with the relevant bodies’ standard review process and subject to the university maintaining the same high standards of course delivery.

²UK and international opportunities

Please note that we are unable to guarantee any UK or international opportunities (whether required or optional) such as internships, work experience, field trips, conferences, placements or study abroad opportunities and that all such opportunities may be unpaid and/or subject to additional costs (which could include, but is not limited to, equipment, materials, bench fees, studio or facilities hire, travel, accommodation and visas), competitive application, availability and/or meeting any applicable travel, public authority guidance, decisions or orders and visa requirements. To ensure that you fully understand any visa requirements, please contact the International Office.

³Tuition fees

The University will charge the tuition fees that are stated in the above table for the first Academic Year of study. The University will review tuition fees each year. For UK (home) students, if Parliament permit an increase in tuition fees, the University may increase fees for each subsequent year of study in line with any such changes. Note that any increase is expected to be in line with inflation.

If you choose to study this course with a professional placement, the University will charge the tuition fees stated above for those on a placement during Academic Year 2025/26. The University will review professional placement tuition fees each year. For UK (home) students, the University may increase fees for each subsequent year of study, but such that it will be no more than 5% above inflation.

⁴Facilities

Student Contract

By accepting your offer of a place and enrolling with us, a Student Contract will be formed between you and the university. A copy of the current 2024/2025 contract is available on the website for information purposes however the 2025/2026 contract will apply for the 2025/2026 intake. The Contract details your rights and the obligations you will be bound by during your time as a student and contains the obligations that the university will owe to you. You should read the Contract before you accept an offer of a place and before you enrol at the university.