Employability
100% of our graduates are in work or further study fifteen months after graduating, with 88% in highly skilled employment or further study (2018/19 Graduate Outcomes Survey).
Everything you need to know...
International/EU: £14,415 per year (£1,200 for placement year)
Come to an open day
Find out more at our undergraduate open days. Book now for your place.
Course summary
- Gain the skills needed to write software for a diverse range of industries
- Develop complex software and systems using analytical and mathematical approaches
- Understand the fundamental principles behind the software that powers our world
You will develop a deep understanding of practical computation, including key concepts in the machine learning domain. You'll become a programmer who understands and can build upon the fundamental principles behind the software that underpins modern society across a variety of platforms and domains using different programming languages.
Student View
Watch student James Kirk talk about what it’s like to study on this course.
How you learn
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.
During your first year you will be introduced to programming and the principles of mathematics before moving on to algorithm design and software engineering. You will be assigned an academic member of staff as a personal tutor who will give you guidance and support on academic issues.
One of the main themes of this course is problem solving and you’ll achieve this fundamental skill via industry-inspired projects. As part of these projects, you’ll work alongside industry to produce software prototypes using industry-standard software. This will give you an opportunity to work with others in small teams, helping to prepare you for the world of work after you graduate.
During your second and final year you’ll have the opportunity to choose elective modules, allowing you to tailor the degree to suit your interests.
During your final year, you will then complete a project in an area of Computer Science of your choice.
The combination of learning methods across the course allows you to develop a range of skills through problem-solving activities, applied learning and teamwork, providing a practical approach to learning and encouraging self-development.
You learn through
- lectures
- practical lab sessions and tutorials
- regular feedback
- teamwork and group-based learning
- applied learning
- independent study
Course leaders and tutors
Applied learning
Work placements
You will have the opportunity to arrange a year-long work placement between your second and third years. This gives you valuable work experience to add to your CV and prepares you for your future career.
Students from this course have worked with companies such as
- IBM
- Eli Lilly,
- PlusNet
- 3Squared
- NHS
- Twinkl
- Bluetree Group
Students have the opportunity to practice development skills while on placement, from web development to mobile applications to backend software and desktop solutions.
You are supported by placement tutors and a placement team through the process of successfully getting a placement and then while on placement.
Live projects
One of the main highlights in year two is working as part of a team to design and develop an application for a real-life client from industry. These projects will challenge you to solve real-world problems, while developing team-working and project management skills. By working with real companies, you can test your interpersonal, time management and technical skills.
Students have worked on live projects with industrial collaborators such as Next, XLN, Elanco and Elaros (Digital Health). These projects have involved 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. Networking provides opportunities to learn about the latest developments in Computer Science.
Future careers
This course prepares you for a career in
- computer-science related research and development
- software development and engineering
- mobile app development
- web application development
- artificial intelligence
Previous graduates of this course have gone on to work for companies such as
- Elanco
- Unisys
- Razor
- AND Digital
- Next
- DB Cargo (UK)
- Sainsburys Tech
- Sky
- Thales
Course news
The Lovelace Colloquium, named after the first computer programmer Ada Lovelace, celebrates women in IT and offers an excellent programme of panels, lectures and competitions for female students. Sheffield Hallam hosted the event in 2016.
Accreditation
This course is accredited by BCS, The Chartered Institute for IT for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional and partially meeting the academic requirement for registration as a Chartered Engineer/Chartered Scientist.
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.
City Campus map | Campus facilities | Keeping safe on Campus
Adsetts library
Adsetts Library is located on our City Campus. It's open 24 hours a day, every day.
Learn moreEquipment and facilities
On this course, you will work with
- the major programming languages, including Java, C/C++, C#, JavaScript, PHP, SQL, Clojure
- mobile, web and desktop platforms
- industry-standard IDEs including Visual Studio, IntelliJ IDEA and Eclipse
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
This must include at least 64 points from two A levels or equivalent BTEC National qualifications. For example:
- BBC at A Level.
- DMM 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 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.
Please note the University will only admit students who are aged 18 or over at the point of enrolment.
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. You can also watch a video guide on how to apply.
For details of English language entry requirements (IELTS), please see the information for 'All students'.
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
| Module | Credits | Assessment |
|---|---|---|
| Module: Databases And The Web | Credits: 20 |
Assessment:
Coursework Exam |
| Module: Fundamentals Of Mathematics And Computer Architectures | Credits: 20 |
Assessment:
Coursework |
| Module: Programming For Computer Science | Credits: 20 |
Assessment:
Coursework Exam |
| Module: Software Projects | Credits: 60 |
Assessment:
Coursework |
Year 2
| Module | Credits | Assessment |
|---|---|---|
| Module: Advanced Programming | Credits: 20 |
Assessment:
Coursework |
| Module: Algorithms And Data Structures | Credits: 20 |
Assessment:
Coursework |
| Module: Networked Software Development | Credits: 20 |
Assessment:
Coursework Exam |
| Module: Professional Software Projects | Credits: 40 |
Assessment:
Coursework |
| Module | Credits | Assessment |
|---|---|---|
| Module: Artificial Intelligence And Machine Learning 1 | Credits: 20 |
Assessment:
Coursework |
| Module: Game Development | Credits: 20 |
Assessment:
Coursework |
| Module: Handling Data In The Cloud | Credits: 20 |
Assessment:
Coursework |
| Module: Mobile Applications Development | Credits: 20 |
Assessment:
Coursework |
Year 3
| Module | Credits |
|---|---|
| Module: Placement Year | Credits: - |
Final year
| Module | Credits | Assessment |
|---|---|---|
| Module: Concurrent And Parallel Systems | Credits: 20 |
Assessment:
Coursework Exam |
| Module: Project (Technical Computing) | Credits: 40 |
Assessment:
Coursework |
| Module: Software Architecture And Design | Credits: 20 |
Assessment:
Coursework |
| Module | Credits | Assessment |
|---|---|---|
| Module: Artificial Intelligence And Machine Learning 2 | Credits: 20 |
Assessment:
Coursework |
| Module: Contemporary Software Engineering | Credits: 20 |
Assessment:
Coursework Exam |
| Module: Foreign Language | Credits: 20 |
Assessment:
Coursework |
| Module: Functional Programming | 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 fee for UK students starting full-time undergraduate study in 2022/23 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 2022/23 is £14,415 per year. During your placement year you will pay a reduced fee of £1,200.
Financial support for home/EU students
How tuition fees work, student loans and other financial support available.
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, 246.1KB)Legal information
Any offer of a place to study is subject to your acceptance of the University’s Terms and Conditions and Student Regulations.
