Gain a degree in Computer Science with Artificial Intelligence, with an additional foundation year to prepare for the course.
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
Prepare for the degree with an extra foundation year at the start

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.

Work placements

You will have the opportunity to arrange a year-long work placement in between your second and third years of the main award. This gives you a real-world experience to prepare you for your future career.

You are supported by placement tutors and a college placement team through the process of successfully getting a placement and then while on placement. Although a placement year is not mandatory, the department has a strong track record in finding placements.

Live projects

All years of your study are designed with applied learning in mind using industry-based and industry-inspired projects. 

The course includes professional projects which challenge you to solve real-world problems, possibly with an external client, while developing team and project management skills.  These projects allow you to practice more than just your technical computing skills. By working with real companies, you can apply the project management techniques and technical skills you have learned and test your interpersonal and time management skills.

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 frequent involvement of employers and IT professionals.

All our courses (including our foundation year 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 is focused on helping you to develop strong practical and applied skills to develop software applications. It develops your knowledge and critical thinking as to how and when to use appropriate processes, tools and technologies.  

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

You learn through:

• Lectures
• Lab sessions
• Hands-on tutorials
• Teamwork and group-based learning
• Practice-based applied learning
• Workshops
• Discussions
• Self-study

This course prepares you for a career in and for:

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

 

UCAS points

• 80

This must include at least 32 points from one A level or equivalent BTEC qualifications. For example:

• CDD at A Level.
• MMP in BTEC Extended Diploma.
• 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.

GCSE

• English Language or English Literature 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 15 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.

We may also accept you, if you have limited qualifications but can show evidence of ability and a genuine commitment to studying the subject.

Some applicants may be invited to attend an informal interview with the course leader to ensure that the programme is suitable for themselves and their aspirations.

UK students may be able to claim financial support for the course.

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.

Please note the University will only admit students who are aged 18 or over at the point of enrolment.

Important notice:

The structure of this course is periodically reviewed and enhanced to provide the best possible learning experience for our students and ensure ongoing compliance with any professional, statutory and regulatory body standards. Module structure, content, delivery and assessment may change, but we expect the focus of the course and the learning outcomes to remain as described above. Following any changes, updated module information will be published on this page.

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
Foundations In Computing 1	40	Coursework
Foundations In Computing 2	40	Coursework
Maths For Foundation Computing	20	Practical
Study Skills For Computing Students	20	Coursework

 

Year 2 Compulsory modules
Module	Credits	Assessment
Databases And The Web	20	Coursework
Fundamentals Of Mathematics And Computer Architectures	20	Coursework
Programming For Computer Science	20	Coursework
Software Projects	60	Coursework

 

 

Year 3 Compulsory modules
Module	Credits	Assessment
Advanced Programming	20	Coursework
Algorithms And Data Structures	40	Coursework
Artificial Intelligence And Machine Learning 1	20	Coursework
Professional Software Projects	40	Coursework

 

Year 4 Optional modules
Module	Credits	Assessment
Placement Year

 

Final Year Compulsory modules
Module	Credits	Assessment
Artificial Intelligence And Machine Learning 2	20	Coursework
Development Project	40	Coursework Practical
Software Architecture And Design	40	Coursework

 

Elective modules
Module	Credits	Assessment
Contemporary Software Engineering	20	Coursework
Machine Learning Algorithms And Heuristics	20	Coursework
Robotics	20	Coursework
Secure Software Engineering	20	Coursework