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BSc (Honours) Computer Science with Artificial Intelligence

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Year of Entry 2024/25
BSc (Honours)

Computer Science with Artificial Intelligence

Full-time Computing

Develop a deep understanding of scientific and practical applications of programming and computation, including the fast-moving field of artificial intelligence and machine learning.

Everything you need to know...

What is the fee? Home: See fees section below
International/EU: £16,655 per year (£1,200 for placement year)
How long will I study? 3 / 4 Years
Where will I study? City Campus
What are the entry requirements? 112-120 UCAS points
What is the UCAS code? D015
When do I start? September 2024
Placement year available? Yes

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Course summary

  • Develop AI systems to solve complex problems 
  • Use machine learning to support decision making 
  • Design and build complex software using analytical and mathematical approaches 
  • Work with companies to solve real-world practical problems 

Through practice-based learning, you’ll develop a deep understanding of the use of machine-learning and artificial intelligence in a variety of domains. 

You'll become a programmer who can build the next generation of software that will support users in complex tasks, automate mundane tasks, and use large data sets to help us understand our world.  

How you learn

Watch course leader Mick Marriott talk about this course.

All our courses are designed around a set of key principles based on engaging you with the world, collaborating with others, challenging you to think in new ways, and providing you with a supportive environment in which you can thrive. 

This course starts by helping you to develop practical skills in developing software applications through lectures and hands-on tutorial sessions. These sessions will build your understanding of how and when to use appropriate processes, tools, technologies, and project management practices. 

These fundamental skills will then be further developed by introducing you to real-world projects. As part of these projects, you’ll collaborate in small teams to produce software prototypes to problems that are introduced and inspired by industry.  Tackling problems in industry helps you prepare for a career in software development using AI and machine learning. 

As part of your final year, you’ll create a significant software deliverable, guided by a dedicated project supervisor. During this individual project, you’ll undertake research and apply new skills as you create a software product you can be proud of. 

The combination of learning methods across the course allows you to develop a range of skills through problem-solving activities, practical implementation, and teamwork, allowing you to take an active approach to learning and encouraging self-development.  

You learn through 

  • lectures 
  • hands-on lab sessions and tutorials 
  • regular feedback 
  • teamwork and group-based learning 
  • applied learning 
  • discussions 
  • self-study 

Course leaders and tutors

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Senior Lecturer and Course Leader for BSc Computer Science and BSc Computer Science with AI

Staff profile for Mick Marriott Senior Lecturer and Course Leader for BSc Computer Science and BSc Computer Science with AI

Applied learning

Work placements 

You’ll have the opportunity to complete a year-long work placement between your second and third year. A placement is widely recognised as the gold standard opportunity to gain personal and professional development through real-world experience.  

You will be encouraged to take up this opportunity, as it will benefit your long-term career prospects and salary level, as well as your academic achievements and degree classification. Your course will prepare you to succeed in your placement and you will be supported throughout it. 

Your placement will allow you to apply the knowledge and skills gained on your course, in areas such as web development, mobile applications, backend software and desktop solutions. 

Students from this course have worked with companies such as :

  • 3Squared  
  • CSE Servelec  
  • IBM  
  • Intel  
  • SN Systems

​Your placement year will allow you to gain an Applied Professional Diploma in addition to your degree which will enhance your graduate profile and give you the edge with future employers.  

You’ll also be supported to take advantage of work experience opportunities throughout your course, through access to a range of support activities, resources, and employer events from your Employability Team. This will further enhance your employability skillset, confidence, and opportunity-awareness to help you succeed in your career after graduating. 

Live projects 

In your first and second years you will work in a group on a real client-based project. You will analyse their requirements, then design, implement and test a prototype which you will present to your client. This will allow you to experience the types of demands faced by commercial software developers and increase your confidence while you are applying for your work placements. 

Students have worked on live projects for Next, XLN, Elanco, Elaros (Digital Health), and more. Projects have included the use of augmented reality and 3D technologies, machine learning and artificial intelligence technologies, cloud services and mobile development. 

Students have often found placements as a result of being recognised for the excellent work they have done for these live projects with the host company. 

Networking opportunities 

Employers and industry practitioners are an influential part of the design, content and teaching of the course. The employability focus of the course is supported by the frequent involvement of employers and IT professionals alongside the live projects we provide. 

Future careers

This course prepares you for the following careers: 

  • artificial intelligence and machine learning 
  • computer-science related research and development 
  • software development and engineering 
  • mobile app development 
  • web development 
  • IT consultancy 

Previous graduates of this course have gone on to work for: 

  • Capita 
  • Plusnet 
  • 3Squared 
  • SkyBet 
  • Raspberry Pi Foundation 

Where will I study?

You study at City Campus through a structured mix of lectures, seminars and practical sessions as well as access to digital and online resources to support your learning.

City Campus

City Campus is located in the heart of Sheffield, within minutes of the train and bus stations.

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Equipment and facilities

On this course, you will work with:

  • modern software development environments 
  • industry-standard software and tools 
  • state-of-the-art hardware 
  • IoT and SBC devices 

We’ve invested over £100m in new facilities to help you study how and when you want. This means 24-hour libraries and study spaces designed by our students. 

Learn more about your department

Computing facilities tour

Take a look around the facilities and equipment in the Department of Computing at Sheffield Hallam University.


Entry requirements

All students

UCAS points

  • 112-120

This must include at least 64 points from two A levels or equivalent BTEC National qualifications. For example:

  • BBC-BBB at A Level.
  • DDM in BTEC Extended Diploma.
  • Merit overall from a T level qualification.
  • A combination of qualifications, which may include AS Levels, EPQ and general studies

You can find information on making sense of UCAS tariff points here and use the UCAS tariff calculator to work out your points.


  • English Language at grade C or 4
  • Maths at grade B or 5

• Access - an Access to HE Diploma with at least 45 credits at level 3 and 15 credits at level 2. At least 18 Level 3 credits must be at merit grade or above, from a QAA-recognised Access to HE course, or an equivalent Access to HE certificate.

If English is not your first language, you will need an IELTS score of 6.0 with a minimum of 5.5 in all skills, or equivalent. If your English language skill is currently below IELTS 6.0 we recommend you consider a Sheffield Hallam University Pre-sessional English course which will enable you to achieve an equivalent English score.

We welcome applications from people of any age. We may be flexible in our normal offer if you can show a commitment to succeed and have the relevant skills and experience. This must show that you will benefit from and finish the course successfully.



Additional information for EU/International students

If you are an International or non-UK European student, you can find out more about the country specific qualifications we accept on our international qualifications page.

For details of English language entry requirements (IELTS), please see the information for 'All students'.


Important notice
The structure for this course is currently being reviewed and enhanced to provide the best possible learning experience for our students. Module structure, content, delivery and assessment are all likely to change, but we expect the focus of the course and the learning outcomes to remain as described above. Once the changes have been confirmed, updated module information will be provided directly to all applicants for September 2023.

You will be able to complete a placement year as part of this course. See the modules table below for further information.

Year 1

Compulsory modules
Module Credits Assessment
Module: Databases And The Web Credits: 20 Assessment: Coursework
Module: Fundamentals Of Mathematics And Computer Architectures Credits: 20 Assessment: Coursework
Module: Programming For Computer Science Credits: 20 Assessment: Coursework
Module: Software Projects Credits: 60 Assessment: Coursework

Year 2

Compulsory modules
Module Credits Assessment
Module: Advanced Programming Credits: 20 Assessment: Coursework
Module: Algorithms And Data Structures Credits: 40 Assessment: Coursework
Module: Artificial Intelligence And Machine Learning 1 Credits: 20 Assessment: Coursework
Module: Professional Software Projects Credits: 40 Assessment: Coursework

Year 3

Optional modules
Module Credits
Module: Placement Year Credits: -

Final year

Compulsory modules
Module Credits Assessment
Module: Artificial Intelligence And Machine Learning 2 Credits: 20 Assessment: Coursework
Module: Development Project Credits: 40 Assessment: Coursework
Module: Software Architecture And Design Credits: 40 Assessment: Coursework
Elective modules
Module Credits Assessment
Module: Contemporary Software Engineering Credits: 20 Assessment: Coursework
Module: Machine Learning Algorithms And Heuristics Credits: 20 Assessment: Coursework
Module: Robotics Credits: 20 Assessment: Coursework
Module: Secure Software Engineering Credits: 20 Assessment: Coursework

Fees and funding

Home students

Our tuition fees for UK students starting full-time undergraduate study in 2024/2025 are regulated by the UK government and are yet to be confirmed. For an indication, our tuition fee for UK students starting full-time undergraduate study in 2023/2024 is £9,250 per year. During your placement year you will pay a reduced fee of £1,200.

If you are studying an undergraduate course, postgraduate pre-registration course or postgraduate research course over more than one academic year then your tuition fees may increase in subsequent years in line with Government regulations or UK Research and Innovation (UKRI) published fees. More information can be found in our terms and conditions under student fees regulations.

International students

Our tuition fee for International/EU students starting full-time study in 2024/25 is £16,655 per year. During your placement year you will pay a reduced fee of £1,200.

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Financial support for home/EU students

How tuition fees work, student loans and other financial support available.

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Additional course costs

This link allows you to view estimated costs associated with the main activities on specific courses. These are estimates and, as such, are only an indication of additional course costs. Actual costs can vary greatly depending on the choices you make during your course.

Additional costs for Computing courses (PDF, 279.8KB)

Legal information

Any offer of a place to study is subject to your acceptance of the University’s Terms and Conditions and Student Regulations.


How do I apply?

Apply now via UCAS

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Why not come to our next open day? Open days are the perfect place to talk to staff and students, visit our campuses and get all the information you need. Alternatively, feel free to ask us a question.

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Why choose us?

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We are Gold rated in the Teaching Excellence Framework (TEF) for the outstanding quality of our teaching and student outcomes

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We guarantee to find you an affordable place to live that’s close to campus and comes with all bills included

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95% of our UK graduates are in work or further study 15 months after graduating (2020/21 Graduate Outcomes Survey)

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