Computer Science with Artificial Intelligence with Foundation Year
Entry requirements
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.
GCSE/National 4/National 5
English Language or English Literature at grade C or 4; Maths at grade B or 5.
UCAS Tariff
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 Pass overall from a T level qualification with C from core A combination of qualifications, which may include AS levels, EPQ and general studies.
About this course
This course has alternative study modes. Contact the university to find out how the information below might vary.
**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.
Modules
Module and assessment information for future years is displayed as currently validated and may be liable to change. When selecting electives, your choices will be subject to the core requirements of the course. As a result, selections may be limited to a choice between one of two or more specified electives in some instances.
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**
Foundations In Computing 1
Foundations In Computing 2
Maths For Foundation Computing
Study Skills For Computing Students
**Year 2**
**Compulsory modules**
Databases And The Web
Fundamentals Of Mathematics And Computer Architectures
Programming For Computer Science
Software Projects
**Year 3**
**Compulsory modules**
Advanced Programming
Algorithms And Data Structures
Artificial Intelligence And Machine Learning 1
Professional Software Projects
**Year 4**
**Optional modules**
Placement Year
**Final year**
**Compulsory modules**
Artificial Intelligence And Machine Learning
Development Project
Software Architecture And Design
**Elective modules**
Contemporary Software Engineering
Machine Learning Algorithms And Heuristics
Robotics
Secure Software Engineering
Assessment methods
Coursework, Practical.
Tuition fees
Select where you currently live to see what you'll pay:
Extra funding
Scholarships, discounts and bursaries may be available to students who study this course.
The Uni
Sheffield Hallam University
College of Business Technology and Engineering
What students say
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After graduation
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Artificial intelligence
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