BSc (Hons) Computer Science with Artificial Intelligence Bachelor's degree at Sheffield Hallam University
BSc (Hons) Computer Science with Artificial Intelligence at SHU is recognised as a UK degree-awarding body, and the university holds Gold for teaching quality in the Office for Students' TEF 2023.
About this course
<p>This BSc Computer Science with Artificial Intelligence course combines programming, computation, AI, and machine learning with scientific & practical applications.</p> From the provider’s course page.
BSc (Hons) Computer Science with Artificial Intelligence is a Bachelor's degree (BSc (Hons)) at SHU, based in City Campus. It is studied part-time; duration varies by route.
For Computing graduates from this provider, 90% were in work or further study 15 months after graduating, typical earnings around £33,000. (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.
Stronger evidence Published sample: 770. Cohort 2021-22. Graduate Outcomes work or further study 90% (2021-23; 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.
Year 1 4 modules
- Applied Artificial IntelligenceCompulsory20 credits
Module details
This module introduces the design and development of applications that use techniques from across artificial intelligence and machine learning. The focus of the module is on practical development rather than foundational theory, and so you'll learn to use the Python programming language and libraries such as SciKit and Pandas. You'll think about how we use AI and about its impact across society, focusing on the ethical responsibilities of software developers.
- Mathematics For Computer ScienceCompulsory20 credits
Module details
This module will introduce concepts of discrete mathematics and numerical skills related to concepts for application in computer science. The module is designed to give students the skills necessary to evaluate systems and data numerically and to apply rigorous mathematical thinking to the modelling of those systems and data.
Assessment: Coursework (100%)
- Programming For Computer ScienceCompulsory20 credits
Module details
This module provides an introduction to computer programming. It will provide a foundation and understanding of key programming concepts and their deployment in a mainstream object-oriented programming language. The focus is on the design and implementation of programs and algorithms using the imperative facilities of a programming language, which is widely used for developing modern applications.
Assessment: Coursework (100%)
- Software ProjectsCompulsory60 credits
Module details
This module uses real projects for you to apply and continue to develop your software development knowledge against. It will support the development of your collaborative skills in a software development environment alongside relevant Legal, Social, Ethical and Professional Issues (LSEPI) and their impact within the IT and software industry.
Assessment: Coursework (100%)
Year 2 4 modules
- Advanced ProgrammingCompulsory20 credits
Module details
This module will continue to build your programming knowledge, looking at object-oriented programming in a modern programming language such as C/C++. It will introduce manual dynamic memory management and discuss heap and stack memory alongside profiling. You will practice more advanced aspects of programming languages and develop an understanding of design patterns and standard software libraries.
Assessment: Coursework (100%)
- Algorithms And Data StructuresCompulsory40 credits
Module details
This module will impart key concepts in computer science to students and to further develop important skills in computer-based problem-solving and data manipulation.
Assessment: Coursework (100%)
- Artificial Intelligence And Machine Learning 1Compulsory20 credits
Module details
This module delivers knowledge and practical skills of machine learning algorithms for artificial intelligence applications. It will present the key mathematical principles and concepts required to create machine learning algorithms through data-driven approaches. You will gain practical experience while designing, implementing, and evaluating machine learning systems to solve real-world artificial intelligence problems.
Assessment: Coursework (100%)
- Professional Software ProjectsCompulsory40 credits
Module details
This module provides a platform for you to work collaboratively in small teams to build complex software applications relating to industry. You'll typically work with external clients on the projects, where you will also continue to develop your professional practice and profile, that can be used to support placement opportunities.
Assessment: Coursework (100%)
Year 3 1 modules
- Undergraduate Sandwich Placement Applied Professional DiplomaCompulsory
Module details
The aim of this module is to enhance students' professional development through the completion of and reflection on meaningful work placement(s). A work placement will provide students with opportunities to experience the realities of professional employment and experience how their course can be applied within their chosen industry setting.
Final year 3 modules
- Artificial Intelligence And Machine Learning 2Compulsory20 credits
Module details
Machine Learning techniques, such as artificial neural networks, are widely used in modern intelligent systems. The module aims to deliver key concepts, theories and practical skills to implement state-of-the-art neural networks techniques within the artificial intelligence problems domain. This module enhances the knowledge and experiences from corresponding level 5 machine learning modules and focuses on smart system design, development, evaluation and optimisation.
Assessment: Coursework (100%)
- Development ProjectCompulsory40 credits
Module details
This module is a research project of your choice – you'll identify a computer-based problem, investigate the requirements, analyse results of research undertaken and design, and develop and evaluate a solution to that problem. You'll then evaluate the project's success, your learnings and opportunities for further work.
Assessment: Coursework (40%), Practical (60%)
- Software Architecture And DesignCompulsory40 credits
Module details
The aim of this module is to give you the opportunity to apply the principles of good design, usability, and security to the development of software. It does so by exploring a case study that forms the starting point for discovery, discussion and development. In adopting a practical approach, different design techniques and architectural styles can be used to develop solutions that are then evaluated against industry-standard criteria using both qualitative and quantitative techniques.
Assessment: Coursework (100%)
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
This course combines programming, computation, AI and machine learning with scientific and practical applications. You'll usually start with programming fundamentals in languages such as Python and Java, alongside computer systems, architecture and discrete mathematics. In Year 2, a course like this normally moves to algorithms, data structures, databases and software engineering, with dedicated study of artificial intelligence and machine learning. Year 3 typically offers specialist options such as artificial intelligence, cybersecurity, data science, software engineering, systems and networks, or human-computer interaction, alongside security and networks, culminating in an individual supervised project. Throughout, you'll build skills in designing efficient solutions, working with data and building maintainable systems.
Who it's for
This course suits those seeking flexible study alongside work or other commitments. It's designed for learners who want to develop expertise in computer science and artificial intelligence through a part-time structure, allowing you to progress at your own pace whilst maintaining professional or personal responsibilities.
Careers & job market
Across Computer Science courses nationally, 85% of graduates are in work or further study 15 months after graduating, with 75% of working graduates in highly skilled work or further study. National Graduate Outcomes data shows starting salaries (15 months post-graduation) typically range from £25,000 to £35,000, rising to £29,750–£42,000 after five years. These figures reflect the broader graduate labour market rather than guarantees specific to this programme. The field remains in demand, though outcomes vary by individual circumstances, location, and career choices.
University & format
The course is studied part-time at Sheffield Hallam University, a university founded in 1992, based at its City Campus. Taught in English, it leads to a BSc (Hons) degree, recognised as a UK degree-awarding body with national recognition. Sheffield Hallam University achieved Gold for teaching quality in the Office for Students' TEF 2023.
Applicant information
The next application dates for this course, followed by facts the provider publishes.
Provider-published requirement; check the linked course page before applying.
Part-time application dates vary by provider. UCAS dates
Placement year. Availability, selection and pay can vary.
See and book current events. Dates can fill or change.
Opened 2 July 2026; last choice 19 October 2026. Check vacancies now. A cached page never claims a place is still available.
Entry & how to get in
Entry & your chances
An honest read from the official entry data, plus your personal match.
Entry is set by the university and based on your offer. Use your predicted grades to see how you compare, then check the university's stated requirements.
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. 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 Apply directly to the provider
Part-time application dates vary by provider. 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
Provider fee page (England 2026/27 cap where not stated).
Check fees at SHU →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 | £33,000 | £26,000 – £45,000 | 770 |
| 3 years after | £25,000 | £17,000 – £37,000 | 40 |
| 5 years after | £33,500 | £22,500 – £48,000 | 40 |
Nominal earnings for graduates of this course/subject at this provider. Stronger evidence. Published sample: 770. Cohort 2021-22.
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: 2021-23. Stronger evidence. Published sample: 770. Cohort 2021-22. 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.
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.
Is this course right for you?
The essentials UK applicants ask about: finance, outcomes, entry and quality.
Student finance
Published home tuition is £9,790/year for this course. 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
90% were in work or further study 15 months after graduating, with a median salary of £33,000. See the full breakdown in Careers & earnings above.
Official-data snapshot
Averaging the official measures published for it, this course scores 9.0 out of 10: in work or study 90%.
Who studies here and in this subject?
Provider- and UK subject-level context.
Sheffield Hallam University
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 City Campus
3,427 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 SHU from outside the UK involves: fees, English, visa, funding and living costs.
Tuition fees
International tuition is £18,000 / year for this course (from the provider’s fee page). 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 SHU’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 SHU and gov.uk before you apply.
Related courses
More at SHU
Common questions
What are the entry requirements?
What do graduates go on to do?
What will it cost me?
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