Sheffield Hallam University
UCAS Code: AA17 | Bachelor of Science (with Honours) - BSc (Hons)
Entry requirements
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.
GCSE/National 4/National 5
English Language at grade C or 4; Maths at grade C or 4; Science at grade C or 4
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 a maximum of one AS level, 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.
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 artificial intelligence (AI) systems to solve complex problems
- Use machine learning (ML) to support decision making
- Design and build complex software and hardware robotic solutions
- Work with companies to solve real-world practical challenges
- Access to industry-standard facilities and technology
Through practice-based learning, you’ll develop a deep understanding of how AI and robotics are brought together to create the autonomous devices found in the industries of our modern world. You’ll become a practitioner who can build smart robotic devices – and create new ones – all the while understanding the responsibility and ethical considerations the convergence of AI and robotics requires.
If you don't meet the entry requirements for our BA (Hons) course, or you’d like extra preparation before starting degree-level study, we recommend you join the foundation year.
**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.
The combination of learning methods across the course allows you to develop your programming and electrical engineering skills as well as your wider professional skills – through problem-solving activities, practical implementation, and teamwork. These allow you to take an active approach to learning and self-development.
You learn through:
- Lectures
- Hands-on lab sessions and tutorials
- Regular feedback
- Teamwork and group-based learning
- Applied learning
- Discussions
- Self-study
You’ll be taught by experts from both Computer Science and Engineering disciplines, that builds into the cross-disciplinary course area, alongside experts who routinely hybridise the subject areas.
**Key themes**
You’ll build your understanding of how and when to use appropriate processes, tools, technologies and practices. You’ll develop programming skills which form the basis of key computer science topics – including algorithms and data structures. These feed into learning, creation and development of machine learning and artificial techniques that can be adapted and tailored for domain-specific problems.
These fundamental skills are further strengthened by introducing you to real-world projects, where you’ll deepen your understanding of the design and development of embedded systems.
Then in your final year, you’ll complete your own project that converges AI and robotic technologies – giving you the freedom to explore, research and apply new skills as you create a smart autonomous device you can be proud of.
**Applied learning
Work placements**
You’ll have the opportunity to complete a year-long work placement before your final year. This helps you gain personal and professional skills through real-world experience – as well as an Applied Professional Diploma in addition to your degree, further enhancing your graduate profile.
On placement you’ll apply the knowledge and skills you’ve gained on your course – in areas such as embedded systems, machine learning, artificial intelligence, software design and electrical engineering solutions.
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 our Employability Team. These will further add to your employability skillset, confidence and opportunity-awareness – helping you to succeed in your career after graduating.
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**
Electrical And Electronic Principles
Foundation Mathematics 1
Functions And Calculus
Fundamental Engineering Principles
Fundamentals Of Materials And Manufacturing
**Elective modules**
Engineering Investigations
Mathematical Investigations
**Year 2**
**Compulsory modules**
Analogue & Digital Electronic Engineering 1
Maths And Computational Methods
Professional Engineering Practice
Programming For Computer Science
**Year 3**
**Compulsory modules**
Advanced Programming
Algorithms And Data Structures
Artificial Intelligence And Machine Learning 1
Industrial Group Embedded System Project
**Year 4**
**Optional modules**
Placement Year
**Final year**
**Compulsory modules**
Advanced Robotics, Automation, Machine Vision, And Sensor Fusion
Artificial Intelligence And Machine Learning 2
Development Project
**Elective modules**
Machine Learning Algorithms And Heuristics
Secure Software Engineering
Assessment methods
Coursework, exams, 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
We've crunched the numbers to see if overall student satisfaction here is high, medium or low compared to students studying this subject(s) at other universities.
How do students rate their degree experience?
The stats below relate to the general subject area/s at this university, not this specific course. We show this where there isn’t enough data about the course, or where this is the most detailed info available to us.
Electrical and electronic engineering
Teaching and learning
Assessment and feedback
Resources and organisation
Student voice
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
Others in computing
Teaching and learning
Assessment and feedback
Resources and organisation
Student voice
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
After graduation
The stats in this section relate to the general subject area/s at this university – not this specific course. We show this where there isn't enough data about the course, or where this is the most detailed info available to us.
Electrical and electronic engineering
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
This is one of the more popular areas to study engineering and there is not quite such a serious shortage of electrical engineers as there is of other engineering subjects - but there's still plenty of demand. The most common jobs are in telecommunications, electrical and electronic engineering, but there is some crossover with the computing industry, so many graduates start work in IT and computing jobs. At the moment, there's a particular demand for electrical engineers in the electronics, and the car and aerospace industries, and also in defence, and salaries can vary across the country depending on the industry you start in. Bear in mind that a lot of courses are four years long, and lead to an MEng qualification — this is necessary if you want to become a Chartered Engineer.
Others in computing
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
What about your long term prospects?
Looking further ahead, below is a rough guide for what graduates went on to earn.
Electrical and electronic engineering
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£27k
£34k
£37k
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.
Others in computing
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£25k
£27k
£30k
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.
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Teaching Excellence Framework (TEF):
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This information comes from the National Student Survey, an annual student survey of final-year students. You can use this to see how satisfied students studying this subject area at this university, are (not the individual course).
This is the percentage of final-year students at this university who were "definitely" or "mostly" satisfied with their course. We've analysed this figure against other universities so you can see whether this is high, medium or low.
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This information is from the Higher Education Statistics Agency (HESA), for undergraduate students only.
You can use this to get an idea of who you might share a lecture with and how they progressed in this subject, here. It's also worth comparing typical A-level subjects and grades students achieved with the current course entry requirements; similarities or differences here could indicate how flexible (or not) a university might be.
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Post-six month graduation stats:
This is from the Destinations of Leavers from Higher Education Survey, based on responses from graduates who studied the same subject area here.
It offers a snapshot of what grads went on to do six months later, what they were earning on average, and whether they felt their degree helped them obtain a 'graduate role'. We calculate a mean rating to indicate if this is high, medium or low compared to other universities.
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Graduate field commentary:
The Higher Education Careers Services Unit have provided some further context for all graduates in this subject area, including details that numbers alone might not show
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The Longitudinal Educational Outcomes dataset combines HRMC earnings data with student records from the Higher Education Statistics Agency.
While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?
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