MComp (Hons) Computer Science (Artificial Intelligence) Bachelor's degree at the University of Sheffield
MComp (Hons) Computer Science (Artificial Intelligence) at University of Sheffield. Rather than finishing at the point where many students are just beginning to specialise, you carry on into a final year built around advanced taught modules and a group research project, giving you a genuine opportunity to dig into a…
About this course
This course is a one-year extension to our BSc course, which allows further specialisation in AI. In your final year, you'll develop research and analytical skills via advanced taught modules and a group research project, where you’ll have the opportunity to deepen your knowledge in a focussed area. From the provider’s course page.
MComp (Hons) Computer Science (Artificial Intelligence) is a Bachelor's degree (MComp (Hons)) at the University of Sheffield, based in Main Campus. It runs 4 years, studied full-time.
For Electrical and electronic engineering graduates from this provider, 85% were in work or further study 15 months after graduating, 90% in highly skilled roles, typical earnings around £32,000. (HESA Graduate Outcomes / LEO, via Discover Uni.)
For the typical curriculum, specialisations, career paths and graduate earnings for Computer Science, see the sections below.
Course evidence score
The arithmetic mean of the official measures available for this course: NSS satisfaction, graduate activity and continuation.
Published threshold met NSS publication requires sufficient responses; small differences are not a rank. NSS mean of 7 published themes (Discover Uni snapshot 2026-06-21)
Limited evidence Published sample: 20; treat comparisons cautiously. Cohort 2022-23. Graduate Outcomes work or further study 85% (2022-23; Discover Uni snapshot 2026-06-21)
Published threshold met Discover Uni suppresses continuation data below its publication threshold. Cohort 2022-23. Continuation 90% (2022-23; Discover Uni snapshot 2026-06-21)
Curriculum & modules
Real modules published for this course, grouped only where the source gives a year, stage or level.
First year 6 modules
- Introduction to Software EngineeringCore20 credits
Module details
This module will introduce students to the principles of software engineering, discussing the software lifecycle and approaches to effective teamwork. Students will be introduced to a development framework, which they will work on individually, and then will apply the principles of software engineering, working in a team to develop a software project.
- Foundations of Computer ScienceCore20 credits
Module details
In the first semester of this module, we will cover the topics in discrete mathematics that provide an essential foundation for later studies in the school. This includes topics such as sets, functions, and relations, propositional and predicate logic, boolean algebra, combinatorics, induction, recursion, proof strategies, graph theory, and number theory. In the second semester of this module, we will cover the topics in continuous mathematics that provide an essential foundation for later studi
- Java ProgrammingCore20 credits
Module details
This module is about programming in the Java language. There is no requirement that students arrive with any knowledge of programming although many do and some are already very experienced programmers. This module is intended to ensure that both absolute beginners and strong programmers are capable of writing clear, well structured, readable programs in Java by the end of the module. The module is largely taught through practical classes but students will have the opportunity to pace their own l
- Practical Algorithms and Data StructuresCore20 credits
Module details
This module will reinforce the programming concepts that were taught in the autumn semester's programming module while exploring essential data structures and algorithms. This includes a particular focus on algorithms used in traditional AI. Students will also learn to analyse the efficiency of algorithms and data structures, and make informed choices about these for practical problems.
- Systems and NetworksCore20 credits
Module details
In this module, we investigate topics surrounding the function and operation of modern devices, from the foundations of digital logic and number systems to an overview of operating systems and their function and the different types of computer networks and associated protocols (including IP addressing, ethernet fundamentals, switching technologies, router operations supporting small-to-medium business networks, wireless local area networks (WLAN), and key security concepts).
- Introduction to Artificial Intelligence and First Year ReflectionCore20 credits
Module details
This module will explore intelligence, what it is, how we might measure it, and how we can learn from natural intelligence, in humans and animals, to create new forms of artificial intelligence (AI) for machines. A key theme will be to examine similarities and differences between brains and computers, and particularly, the idea that both are able to act intelligently by performing computation. Through lectures, seminars and computer-based lab classes, the module will investigate some of the key
Second year 6 modules
- Programming Language PrinciplesCore20 credits
Module details
On entering this module you will already have a good understanding of object oriented programming from your first year studies. In this module, you will be introduced to further paradigms and programming languages. You will explore the choices that are taken in language design and the relationship between high level language and machine-level code that can be directly executed. In this module you will also look at the particular issues associated with concurrent or parallel programming, and the
- Cybersecurity in Action and Professional IssuesCore20 credits
Module details
This module has two components. The first component aims to teach students about the key security properties needed in today's computer systems, how these properties can be attacked, and the ways to prevent such attacks. Properties covered include: confidentiality, integrity, availability, anonymity, and privacy. We will also cover threat modelling approaches and countermeasure determination. Countermeasures addressed include authentication, access control, basic cryptography, and web and networ
- Databases and Logic in Computer ScienceCore20 credits
Module details
This module introduces the foundations of databases and logic in computer science. You will cover theoretical underpinnings including the syntax and semantics of propositional and predicate logics, natural deduction, notions such as soundness, completeness and (un)decidability, normalisation theory of databases, relational algebra and relational calculus. You will also study practical applications of both databases and logic. This will include the use of SQL, including from within other programm
- Automata, Computation and ComplexityCore20 credits
Module details
This module introduces the theoretical foundations for computing systems: finite state machines, pushdown automata, and Turing machines, along with the formal languages that can be recognised by these machine models. It also deals with the question 'What is computable?' and 'What is efficiently computable?' by showing when problems are computationally hard, and how to find algorithmic solutions to computationally hard problems.
- Foundations and Applications of Artificial IntelligenceCore20 credits
Module details
This module will provide the mathematical and statistical underpinnings for artificial intelligence, some of which are used more widely in computer science, and look at some practical applications of AI, with a focus on data science. Semester 1 will focus on the mathematical and statistical underpinnings, including probability, random variables and distributions (both discrete and continuous), finite sample spaces, Bayes rule, sampling, hypothesis testing, the law of large numbers, the central l
- Software HutCore20 credits
Module details
The Software Hut (a microcosm of a real Software House) gives students an opportunity to experience the processes of engineering a real software system for a real client in a competitive environment. The taught element covers the tools and technologies needed to manage software development projects successfully and to deliver software products that meet both client expectations and quality standards. Topics that are put into practice include: the requirements engineering process; software modell
Third year 2 modules
- Dissertation ProjectCore40 credits
Module details
In the individual research project, you will complete a major original piece of software design, or an experimental investigation. This work will be reported formally in a research dissertation and also presented at a project presentation session, to which industrial representatives, students and academics are invited. The work will include an Interim report that consists of an initial survey and literature review. You will be engaged in a major piece of software development, or the design and e
- Deep LearningCore20 credits
Module details
This module provides a rigorous and comprehensive grounding in deep learning and neural networks, spanning mathematical foundations, modern architectures, and selected research frontiers. It introduces students to the building blocks of contemporary deep models, from feed-forward and convolutional networks to recurrent architectures and Transformers, as well as optimisation approaches such as transfer learning and efficient fine-tuning. Students will develop the ability to implement, optimise, a
Source: provider course page. Modules can change; required/optional status, credits, descriptions and assessment are shown only when explicitly published.
Course in depth
What this course covers, who it suits and where it leads.
What you'll study
The first years follow the same broad computer science foundations as the BSc, before the degree's structure opens out into specialisation. Across the course you'll find pathways such as Software Engineering, Data Science, AI & Machine Learning, Cyber Security, Web & Mobile, Cloud & DevOps, Games, and HCI, giving you room to shape your studies around the areas that interest you most while still keeping AI as the throughline given the course's focus. The final, fourth year is where the MComp diverges properly from the BSc: advanced taught modules take you deeper into AI topics than earlier years permit, and a group research project asks you to apply what you've learned to a real problem, working alongside peers rather than solely on individual assignments. This project-based final year is meant to build research and analytical skills that go beyond what a taught module alone can offer, preparing you either for further academic study or for AI-related work where independent problem-solving matters.
Who it's for
This course suits someone who enjoys computer science broadly but has a particular curiosity about artificial intelligence and wants the time and space to explore it properly rather than skim it in a single module. If you're the kind of person who likes seeing a problem through to the end, including the messier, more open-ended stages of research, the final-year group project will likely appeal to you. It also suits people who work well in a small team over an extended period, since the research project isn't a solo sprint but a sustained collaborative effort. You should be comfortable with the idea of specialising: rather than keeping every door open, you'll be choosing to go deeper into AI specifically, which means having enough interest in the subject to sustain that focus across an extra year of study. Some students arrive already sure that AI is what they want to pursue further, whether academically or professionally; others discover that certainty during the earlier years of the BSc-shared curriculum and then decide the MComp route is right for them. Either way, it helps to be someone who's motivated by depth over breadth, and who finds satisfaction in producing something closer to original research than a standard assignment.
Careers & job market
Nationally, Computer Science graduates report a range of outcomes worth knowing about, though these figures reflect graduates across the field rather than anything specific to this course or guaranteed for any individual. Around 85% of Computer Science graduates nationally are in work or further study 15 months after graduating, and of those in work, about 75% describe their role as highly skilled. Graduate Outcomes and LEO data also show national starting salaries (15 months after graduating) typically ranging between £25,000 and £35,000, moving to roughly £23,375–£33,000 after three years and £29,750–£42,000 after five years, again, national figures across the sector rather than specific to Sheffield or to this course. Around 85% of students nationally continue past their first year of study. The specialisation options within the degree, such as AI & Machine Learning, Data Science, Cyber Security, and Cloud & DevOps, mean the skills built here are relevant to a fairly broad spread of computing-related roles, with the fourth-year research project offering a stepping stone for those considering postgraduate research routes.
University & format
The University of Sheffield is a public, Russell Group university founded in 1905, based on its main campus, and holds a Silver award for teaching quality in the Office for Students' TEF 2023. This MComp is a full-time, four-year course (UCAS code G700) taught in English at the university's main campus. Most entrants arrive with A-levels or equivalent, essentially all accepted students in recent years held this qualification, and the most common UCAS tariff band among those accepted was 160–175 points, reflecting typical entrant profiles rather than a fixed requirement. As a Russell Group institution, Sheffield is a recognised UK degree-awarding body, meaning the qualification carries standard national recognition.
Student satisfaction
How students on this course answered the National Student Survey, by theme.
Share of students responding positively.
Published threshold met NSS publication requires sufficient responses; small differences are not a rank. NSS mean of 7 published themes (Discover Uni snapshot 2026-06-21)
Applicant information
The next application dates for this course, followed by facts the provider publishes.
- 2027 entryCompleted applications can be submitted
Your application needs a reference before you can send it.
- 2026 entryFinal date for 2026 applications
Applications must reach UCAS by 18:00 UK time.
- 2026 entryLast day to add a Clearing choice
Check that this course still has a vacancy before adding it.
- 2027 entryEqual-consideration deadline
18:00 UK time for most undergraduate courses.
Show 5 later dates
- 2027 entryUCAS Extra opens
Applicants who used all five choices and hold no offer may be able to add another choice.
- 2027 entryLast day applications go directly to providers
Applications received after 18:00 UK time are entered into Clearing.
- 2027 entryClearing opens
Eligible applicants can see vacancies and release themselves into Clearing.
- 2027 entryFinal date for 2027 applications
Applications must reach UCAS by 18:00 UK time.
- 2027 entryLast day to add a Clearing choice
Check that this course still has a vacancy before adding it.
Provider-published requirement; check the linked course page before applying.
The provider publishes contextual-offer information. Eligibility and any reduced offer are applicant-specific.
Names detected beside accreditation or recognition copy on the provider course page; verify the route and intake.
Optional placement year. Availability, selection and pay can vary.
See and book current events. Dates can fill or change.
Entry & how to get in
Who gets in
What recently admitted students actually held, official admissions data, not a stated requirement.
UCAS tariff of entrants
Grades are the A-level equivalent of each points band. Tap a band to check your own chances below.
Qualifications held on entry
| Qualification | Share |
|---|---|
| A-levels or equivalent | 100% |
Entry & your chances
An honest read from the official entry data, plus your personal match.
Accepted students typically held strong UCAS tariffs. Check how your predicted grades compare and whether a contextual offer applies.
Will you get in? Plot your grades
Pick your predicted A-levels and watch your UCAS points land on the real spread of students admitted to this course.
Each bar is the share of admitted students in that UCAS-points band (lower → higher). Grades show the A-level equivalent.
Based on the official admitted-student tariff distribution. Many universities make contextual (reduced-grade) offers, so a result below the range doesn’t rule you out.
How to apply
Undergraduate applications go through UCAS. Here’s what matters for this course, the right deadline, the grades to aim for, and the steps in order.
- 1Register on UCAS Hub
Create your UCAS application and add this course (code G700). One application covers up to five choices.
- 2Write your personal statement
A single statement covers all your choices, so keep it broad enough for similar courses while showing genuine interest in this subject.
- 3Submit by 13 January 2027, 18:00 UK time
UCAS equal-consideration deadline for most undergraduate courses. Source: UCAS 2027 dates.
- 4Reply to your offers
When decisions are in, pick a firm (first) choice and an insurance (back-up) choice with slightly lower grades.
- 5Results day & confirmation
On results day (mid-August) your place is confirmed if you meet the offer. Just missed? Talk to the university, or find a place through Clearing.
Fees & funding
What this course costs and how UK student finance covers it.
Tuition per year
Standard capped home fee at English providers (2026/27); Scotland, Wales & NI differ.
Check fees at University of Sheffield →For students who normally live in England
2026/27 Student Finance England figures. Maintenance support is means-tested and this two-point view is not an entitlement calculator. The course total uses its published length and home fee where both are available; a missing full-time fee uses the clearly labelled England-cap scenario, while part-time fees and unknown lengths are never guessed. Use the official calculator. Scotland, Wales and Northern Ireland use separate systems: SAAS, Student Finance Wales, and Student Finance NI.
Starting on or after 1 January 2027?
The Lifelong Learning Entitlement is a separate system. A new learner’s tuition entitlement is currently stated as £39,160 (about 480 credits at 2026/27 fee levels), subject to prior study and eligibility. Check the official LLE guide.
Paying for it
- Tuition Fee Loan: can cover eligible tuition up to the applicable limit and is paid straight to the provider.
- Maintenance Loan: up to £10,830/yr away from home outside London (England, 2026/27), means-tested on household income.
- Repayment: 9% of income above £25,000, nothing below it; written off after 40 years.
- Earn alongside: most students work part-time in term, part-time roles on the StudySmarter job board.
England figures shown; Scotland, Wales & NI run their own schemes, check gov.uk.
Scholarships & bursaries you could qualify for
That does not mean no funding exists. Check the university directory for current amounts, eligibility and application dates.
We only display a named award when its provider source identifies the award and who it is for.
Still deciding what to study?
StudyKit brings course choice, applications and funding together in one place, with a personal AI assistant. Find what really fits you and start your UCAS application step by step.
Careers & earnings
What Computer Science graduates actually earn, from real outcome data, 15 months, 3 years and 5 years after graduating.
Graduate earnings: this course
| When | Median | Typical range | Graduates |
|---|---|---|---|
| 15 months after | £32,000 | £30,000 – £38,000 | 20 |
| 3 years after | £33,500 | £29,500 – £39,500 | 70 |
| 5 years after | £44,000 | £36,000 – £55,000 | 65 |
Nominal earnings for graduates of this course/subject at this provider. Limited evidence. Published sample: 20; treat comparisons cautiously. Cohort 2022-23.
Graduate outcomes, 15 months on: this course
- 1Graduate / Junior DeveloperFirst engineering role · 0–2 yrs
- 2Software EngineerShipping features end-to-end · 2–5 yrs
- 3Senior / Lead EngineerOwning systems and mentoring · 5–9 yrs
- 4Principal / Engineering ManagerArchitecture or leading teams · 9+ yrs
How pay grows: this course vs Computer Science nationally
National figures for Computer Science graduates, HESA Graduate Outcomes (15 months) and the Longitudinal Education Outcomes (LEO) dataset (3 & 5 years). These are national, not university-specific; actual pay varies by employer, region, role and experience. Different cohorts, so the bars are not one group over time.
Work out your pay
Headline figures hide a lot. Calculate realistic take-home pay for this field by role, region and experience, then check your CV before you apply.
What happened to 100 students?
Choose an outcome to translate the published percentage into a simple 100-person view. Each dot represents one percentage point, not an individual tracked student.
were in work or further study
15 months after graduation
Source: Discover Uni, using Graduate Outcomes and continuation data. Cohorts: 2022-23. Limited evidence. Published sample: 20; treat comparisons cautiously. Cohort 2022-23. Each tab is a separate published measure; categories can overlap and should not be added together.
Value compared with similar courses
How this course’s 5-year median earnings compare with Computer Science courses at the same study level.
Compared with 1,820 courses with compatible official earnings data. This is a course-value comparison, not a quality ranking.
UK occupations graduates enter
Published graduate destinations, joined conservatively to UK SOC 2020, ONS pay and Skills England demand.
- Information Technology ProfessionalsSOC 2020 213 · 45% of published destinations · ASHE median £55,357
- Engineering professionalsSOC 2020 212 · 35% of published destinations · ASHE median £50,325
Discover Uni JOBLIST/JOBTYPE; ONS ASHE 2025 provisional, all employee jobs; Skills England Occupations in Demand 2025. SOC is shown only for an exact normalised label match; demand is shown only at exact four-digit SOC. Published sample: 45; response rate: 70%. Pay describes the occupation across workers, not a guaranteed graduate salary.
Job market & outlook
How Computer Science graduates fare in the labour market, and how AI is reshaping the work.
How AI is changing the work
AI doesn't replace the profession, it shifts it: routine tasks get automated, while judgement, working with people and using AI well become more valuable.
What AI takes off your plate
- Boilerplate and scaffolding code
- First-pass tests and docs
- Routine debugging and refactors
- Standard data wrangling
More human than ever
- System design and architecture trade-offs
- Reviewing and owning correctness & security
- Translating fuzzy problems into software
- Leading delivery and mentoring
The strongest graduates pair subject depth with the ability to use AI tools critically.
Roles & employers
Where Computer Science graduates typically go, indicative destinations from graduate career data. Each role links to live openings on the StudySmarter job board.
Roles graduates go into
Where they work
- Tech companies
- Banks & fintech
- Consultancies
- Government (GDS) & startups
Jobs after this course
Current roles from the StudySmarter job board that suit Computer Science graduates.
Software Developer Placement Programme No experience neededIT Online LearningSoftware Developer - .NET & Azure for Green Energy ProjectsOfgemSoftware Developer Backend (SFIA5)ZaiziSoftware Developer (Mobile Apps) in Guildford - ECM Selection (Holdings) LimitedJava Script WorksSoftware Developer (Contract) – Higher Education Projects (UK)Burman RecruitmentSoftware Developer – Distributed Scheduling & Workload OrchestrationCGG Services (UK) LimitedIs this course right for you?
The essentials UK applicants ask about: finance, outcomes, entry and quality.
Student finance
For comparison, the standard full-time England tuition cap is up to £9,790 per year in 2026/27; the actual fee varies by course and provider. If you normally live in England, eligible students can apply for a Tuition Fee Loan, plus a Maintenance Loan for living costs. Under Plan 5 you repay 9% of income above £25,000, nothing below that, and the balance is written off after 40 years.
Where graduates go
85% were in work or further study 15 months after graduating, with a median salary of £32,000. See the full breakdown in Careers & earnings above.
Your entry chances
Use the UCAS points calculator above to see how your predicted grades compare with admitted students, and whether a contextual offer could apply.
Official-data snapshot
Averaging the official measures published for it, this course scores 8.7 out of 10: NSS 84.9% · in work or study 85% · continued 90%.
Who studies here and in this subject?
Provider- and UK subject-level context.
The University of Sheffield
Computing across the UK
HESA student record 2024/25. Counts are rounded.
Local crime-data context
A neutral snapshot around the published teaching location.
Around Main Campus
2,964 street-level reports returned within roughly one mile across 2026-04 to 2026-06.
Police.uk street-level API. Approximate locations, not confined to campus. England, Wales and Northern Ireland; not Scotland.
Is Computer Science right for you?
Tick what applies to you and see how good a fit it is.
International students
What applying to University of Sheffield from outside the UK involves: fees, English, visa, funding and living costs.
Tuition fees
International tuition is set per course by University of Sheffield; international fees are typically £12,000–£30,000/year for classroom subjects and higher for lab/clinical ones. You’re not eligible for UK Tuition Fee or Maintenance Loans, so plan for fees plus living costs upfront.
English language
Most UK undergraduate courses ask for around IELTS 6.0–6.5 (no band below 5.5–6.0), or an accepted equivalent. If you’re just short, most universities run a pre-sessional English course that counts towards the requirement.
Student visa
You’ll usually need a Student visa (Student Route). After you accept an offer the university issues a CAS; you then show funds for fees plus about £1,023–£1,334/month living costs and pay the Immigration Health Surcharge for NHS access.
Scholarships & funding
Many universities offer international/global scholarships (often £2,000–£6,000/yr), check University of Sheffield’s funding pages.
Living costs
Budget roughly £1,100–£1,400/month outside London and £1,400–£1,800/month in London for rent, food and travel; the figure also matters for your visa.
Working while you study
A Student visa usually allows up to 20 hours/week in term time and full-time in holidays, useful alongside study, though not something to rely on for fees.
Visa rules and fees change. Always confirm the current requirements with University of Sheffield and gov.uk before you apply.
Related courses
More at University of Sheffield
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Common questions
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