Sheffield Hallam University - undergraduate open day event
4 Jul 2026, 08:30
Sheffield
Please check the Sheffield Hallam University website for the latest information.
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
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.
How you learn
The course is suitable if you don’t meet the entry requirements for our BSc (Hons) Computer Science with Artificial Intelligence course. You share the first year with other computing foundation year students, then move on to the degree. During the first year of study, you will enhance your skills to maximise your academic potential ready to start your learning against the content of the main degree.
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
Applied learning
Work placements
You’ll have the opportunity to complete a year-long work placement between your third and fourth 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.
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.
This course may be available at alternative locations, please check if other course options are available.
Course optionsThere are no specific entry requirements for this course.
This section shows the range of grades that students who received offers were previously accepted on to this course with (learn more).
It is designed to support your research but does not guarantee whether you will or won't get a place.
Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.
We are unable to show previous accepted grades for this course. This could be because the course is new, it's a postgraduate course, there isn't enough historical data, or the provider has opted out of sharing their entry grades data for this course - learn more.
Choose a specific option to see funding information.
Course optionsScholarships, discounts and bursaries may be available to students who study this course.
Phone:(+44) 0114 225 5533
City Campus
Howard Street
Sheffield
S1 1WB
At Sheffield Hallam University