AI and Robotics

Study options

Award

BSc (Hons)

Key facts

UCAS code:
I763
UCAS code:
I764
UCAS code:
I765
Location:
Stoke-on-Trent campus
Location:
Stoke-on-Trent campus
Location:
Stoke-on-Trent campus
Study option:
Full-time
Study option:
Full-time, with a foundation year
Study option:
Full-time, with a placement year
Duration:
3 Years
Duration:
4 Years
Duration:
4 Years
Start date:
25 September 2023

Become a specialist

Gain invaluable knowledge in a growing industry

Gain recognised qualifications

Gain certifications from Microsoft and follow a Google approved curriculum

Industry accredited

Accredited by BCS, The Chartered Institute for IT

Studying Artificial Intelligence (AI) and Robotics enables you to experience a comprehensive degree in the multi-discipline areas of Computing, Software, Robotics, Autonomous Vehicles (Automotive) and 3D games design.

Artificial Intelligence (AI) is happening all around us and on a large scale. Companies such as Microsoft, Amazon, Google and Facebook are hard at work building world-class AI teams that infiltrate every aspect of their products. AI is applied everywhere from mobile phone apps to self-driving cars, and when combined with robotics, forms a vital part of our future. It even forms a major part of UK Government planning.

This course is designed to help you to develop your knowledge and skills in key AI and robotics areas such as machine learning, deep learning, computer vision, natural language processing (NLP), robotic design and robotic programming.

You’ll start by studying modern software languages such as Java and Python using IDEs including NetBeans, PyCharm, and Visual Studio Code. You will also study computer hardware with electronics and mechanics to give you a solid start to your future career. You’ll then extend your skills in areas such as 3D robotic design, programming micro-controllers in C, applying different machine learning techniques, developing AI algorithms, C++ and even the ethics of living in a robotic society.

Finally, you’ll complete a dissertation and professionally designed modules such as: robotic vision, data analytics, artistic synthetic face/eye creation, Windows programming in C++, which will enable you to enter the world of employment with a diverse range of skills and expertise.

We have a close relationship with companies including Amazon Azure and AWS who have the leading edge in AI technologies and services. This makes it possible for you to learn how to program, develop, test and report your AI and robotics artefact to meet the needs and make-up of society. Throughout our course you will also have an opportunity to be certified in AWS and Microsoft Azure, to help you to build and validate your understanding of technologies that businesses use.

 

Explore the world of AI and Robotics

Have you ever wondered if robots dream or if Matrix or Terminator films will be our future?

Check out the recent developments by the foremost world leader in robots; Boston Dynamics.  

Artificial Intelligence (AI) is happening all around us and on a large scale. Companies such as Microsoft, Amazon, Google and Facebook are hard at work building world-class AI teams that infiltrate every aspect of their products. AI is applied everywhere from mobile phone apps to self-driving cars, and when combined with robotics, forms a vital part of our future. It even forms a major part of UK Government planning.

This course is designed to help you to develop your knowledge and skills in key AI and robotics areas such as machine learning, deep learning, computer vision, natural language processing (NLP), robotic design and robotic programming.

You’ll start by studying modern software languages such as Java and Python using IDEs including NetBeans, PyCharm, and Visual Studio Code. You will also study computer hardware with electronics and mechanics to give you a solid start to your future career. You’ll then extend your skills in areas such as 3D robotic design, programming micro-controllers in C, applying different machine learning techniques, developing AI algorithms, C++ and even the ethics of living in a robotic society.

Finally, you’ll complete a dissertation and professionally designed modules such as: robotic vision, data analytics, artistic synthetic face/eye creation, Windows programming in C++, which will enable you to enter the world of employment with a diverse range of skills and expertise.

We have a close relationship with companies including Amazon Azure and AWS who have the leading edge in AI technologies and services. This makes it possible for you to learn how to program, develop, test and report your AI and robotics artefact to meet the needs and make-up of society. Throughout our course you will also have an opportunity to be certified in AWS and Microsoft Azure, to help you to build and validate your understanding of technologies that businesses use.

 

Explore the world of AI and Robotics

Have you ever wondered if robots dream or if Matrix or Terminator films will be our future?

Check out the recent developments by the foremost world leader in robots; Boston Dynamics.  

Artificial Intelligence (AI) is happening all around us and on a large scale. Companies such as Microsoft, Amazon, Google and Facebook are hard at work building world-class AI teams that infiltrate every aspect of their products. AI is applied everywhere from mobile phone apps to self-driving cars, and when combined with robotics, forms a vital part of our future. It even forms a major part of UK Government planning.

This course is designed to help you to develop your knowledge and skills in key AI and robotics areas such as machine learning, deep learning, computer vision, natural language processing (NLP), robotic design and robotic programming.

You’ll start by studying modern software languages such as Java and Python using IDEs including NetBeans, PyCharm, and Visual Studio Code. You will also study computer hardware with electronics and mechanics to give you a solid start to your future career. You’ll then extend your skills in areas such as 3D robotic design, programming micro-controllers in C, applying different machine learning techniques, developing AI algorithms, C++ and even the ethics of living in a robotic society.

Finally, you’ll complete a dissertation and professionally designed modules such as: robotic vision, data analytics, artistic synthetic face/eye creation, Windows programming in C++, which will enable you to enter the world of employment with a diverse range of skills and expertise.

We have a close relationship with companies including Amazon Azure and AWS who have the leading edge in AI technologies and services. This makes it possible for you to learn how to program, develop, test and report your AI and robotics artefact to meet the needs and make-up of society. Throughout our course you will also have an opportunity to be certified in AWS and Microsoft Azure, to help you to build and validate your understanding of technologies that businesses use.

 

Explore the world of AI and Robotics

Have you ever wondered if robots dream or if Matrix or Terminator films will be our future?

Check out the recent developments by the foremost world leader in robots; Boston Dynamics.  

On successful completion of study, we will issue the following award: BSc (Hons) AI and Robotics

On successful completion of study, we will issue the following award: BSc (Hons) AI and Robotics

On successful completion of study, we will issue the following award: BSc (Hons) AI and Robotics

Work placements

You can choose to complete a paid 12-month work placement between the second and third year of this course, which is a great opportunity to further develop your learning and to make valuable contacts for future employment.

We have a variety of placement opportunities, ranging from placements within SMEs, both local and nationwide through to large international organisations with companies such as Amazon, Microsoft, and Airbus.

You could also have an opportunity to work on the Staffordshire Digital Innovation Partnerships programme (SDIPS). SDIP is a collaborative project between Staffordshire University and Staffordshire County Council. SDIPs aims to improve business processes and support the development of new to market products and services using innovative digital technologies.

Course content

In a typical 3 year, full-time course you'll complete a variety of modules that will give you an expert knowledge of AI and Robotics, as well as transferable skills in Computing Science, making you employable with both fields.  

Our first year will help you get an all-round knowledge in the field, including aspects of software development and robotic design.  You even design, build and race your own robotic vehicles with the ‘Robot Worlds’ module. 

The second year will build on the foundations of the first year, aiming to give you a more complex understanding of robotic software programming and interfacing, 3D Game modelling with kinematics, commercial computing and the implementation of Ethical Robotics in an AI world. 

In your final year you will specialise in expert-level modules, covering robotic vision programming and synthetic drone modelling with skin design. In addition you’ll create an industrial standard project, negotiated between yourself and your course leader, that incorporates the specialist knowledge you have attained during the course.  

If you were to join the course through our Foundation Year you would study ‘How to study’, Concepts of physics, Practical mathematics and other topics in key areas of AI and Robotics to fully prepare for a successful start of the degree.

In a typical 3 year, full-time course you'll complete a variety of modules that will give you an expert knowledge of AI and Robotics, as well as transferable skills in Computing Science, making you employable with both fields.  

Our first year will help you get an all-round knowledge in the field, including aspects of software development and robotic design.  You even design, build and race your own robotic vehicles with the ‘Robot Worlds’ module. 

The second year will build on the foundations of the first year, aiming to give you a more complex understanding of robotic software programming and interfacing, 3D Game modelling with kinematics, commercial computing and the implementation of Ethical Robotics in an AI world. 

In your final year you will specialise in expert-level modules, covering robotic vision programming and synthetic drone modelling with skin design. In addition you’ll create an industrial standard project, negotiated between yourself and your course leader, that incorporates the specialist knowledge you have attained during the course.  

If you were to join the course through our Foundation Year you would study ‘How to study’, Concepts of physics, Practical mathematics and other topics in key areas of AI and Robotics to fully prepare for a successful start of the degree.

In a typical 3 year, full-time course you'll complete a variety of modules that will give you an expert knowledge of AI and Robotics, as well as transferable skills in Computing Science, making you employable with both fields.  

Our first year will help you get an all-round knowledge in the field, including aspects of software development and robotic design.  You even design, build and race your own robotic vehicles with the ‘Robot Worlds’ module. 

The second year will build on the foundations of the first year, aiming to give you a more complex understanding of robotic software programming and interfacing, 3D Game modelling with kinematics, commercial computing and the implementation of Ethical Robotics in an AI world. 

In your final year you will specialise in expert-level modules, covering robotic vision programming and synthetic drone modelling with skin design. In addition you’ll create an industrial standard project, negotiated between yourself and your course leader, that incorporates the specialist knowledge you have attained during the course.  

If you were to join the course through our Foundation Year you would study ‘How to study’, Concepts of physics, Practical mathematics and other topics in key areas of AI and Robotics to fully prepare for a successful start of the degree.

Academic year

The course operates on a modular basis with all of your study modules being worth 30 academic credits (our preferred size in order that you move rapidly from the basics to being an expert at the end of any module you study). Each credit taken equates to a total study time of around 10 hours. Total study time includes scheduled teaching, independent study and assessment activity. Full-time students take modules worth 60 credits per semester. All students take a total of 120 credits per level and 360 credits for the degree as a whole. Your overall grade for the course and your degree classification are based on the marks obtained for modules taken at levels 5 and 6. The course has one start point in September.

The course operates on a modular basis with all of your study modules being worth 30 academic credits (our preferred size in order that you move rapidly from the basics to being an expert at the end of any module you study). Each credit taken equates to a total study time of around 10 hours. Total study time includes scheduled teaching, independent study and assessment activity. Full-time students take modules worth 60 credits per semester. All students take a total of 120 credits per level and 360 credits for the degree as a whole. Your overall grade for the course and your degree classification are based on the marks obtained for modules taken at levels 5 and 6. The course has one start point in September.

The course operates on a modular basis with all of your study modules being worth 30 academic credits (our preferred size in order that you move rapidly from the basics to being an expert at the end of any module you study). Each credit taken equates to a total study time of around 10 hours. Total study time includes scheduled teaching, independent study and assessment activity. Full-time students take modules worth 60 credits per semester. All students take a total of 120 credits per level and 360 credits for the degree as a whole. Your overall grade for the course and your degree classification are based on the marks obtained for modules taken at levels 5 and 6. The course has one start point in September.

Professional body accreditation

Accredited by BCS, the Chartered Institute for IT for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional.

Accredited by BCS, the Chartered Institute for IT on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for Incorporated Engineer and partially meeting the academic requirement for a Chartered Engineer.

BCS accredited degree logo

Professional body accreditation

Accredited by BCS, the Chartered Institute for IT for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional.

Accredited by BCS, the Chartered Institute for IT on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for Incorporated Engineer and partially meeting the academic requirement for a Chartered Engineer.

BCS accredited degree logo

Professional body accreditation

Accredited by BCS, the Chartered Institute for IT for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional.

Accredited by BCS, the Chartered Institute for IT on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for Incorporated Engineer and partially meeting the academic requirement for a Chartered Engineer.

BCS accredited degree logo
AI & Robotics Lab Tour

AI & Robotics Lab Tour

Video

Join our Course Director David Dyke for a tour around our AI & Robotics lab.

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Modules

The tables provide an indicative list of the modules that make up the course for the current academic year. Each module is worth a specified number of credits. Our teaching is informed by research, and modules change periodically to reflect developments in the discipline. We aim to ensure that all modules run as scheduled. If for any reason a module cannot be run we will advise you as soon as possible and will provide guidance on selecting an appropriate alternative module.

Year 1 compulsory modules
Year 1 compulsory modules
Ai And Chat Bots 30 credits
Digital Technologies 30 credits
Robotic Design And Worlds 30 credits
Software Development And Application Modelling 30 credits
Year 2 compulsory modules
Year 2 compulsory modules
Artificial Intelligence For Computer Games 30 credits
Commercial Computing 30 credits
Robot Ethics In An Ai World 30 credits
Robotic Programming 30 credits
Year 3 compulsory modules
Year 3 compulsory modules
Decision Analytics 30 credits
Final Year Project 30 credits
Robotic Modelling And Drone Skin Design 30 credits
Robotic Programming And Vision 30 credits

Modules

The tables provide an indicative list of the modules that make up the course for the current academic year. Each module is worth a specified number of credits. Our teaching is informed by research, and modules change periodically to reflect developments in the discipline. We aim to ensure that all modules run as scheduled. If for any reason a module cannot be run we will advise you as soon as possible and will provide guidance on selecting an appropriate alternative module.

Year 1 compulsory modules
Year 1 compulsory modules
Practical Mathematics 30 credits
Practical Physics 30 credits
Study Skills And Professional Development 30 credits
Web Technology And Programming 30 credits
Year 2 compulsory modules
Year 2 compulsory modules
Ai And Chat Bots 30 credits
Digital Technologies 30 credits
Robotic Design And Worlds 30 credits
Software Development And Application Modelling 30 credits
Year 3 compulsory modules
Year 3 compulsory modules
Artificial Intelligence For Computer Games 30 credits
Commercial Computing 30 credits
Robot Ethics In An Ai World 30 credits
Robotic Programming 30 credits
Year 4 compulsory modules
Year 4 compulsory modules
Decision Analytics 30 credits
Final Year Project 30 credits
Robotic Modelling And Drone Skin Design 30 credits
Robotic Programming And Vision 30 credits

Modules

The tables provide an indicative list of the modules that make up the course for the current academic year. Each module is worth a specified number of credits. Our teaching is informed by research, and modules change periodically to reflect developments in the discipline. We aim to ensure that all modules run as scheduled. If for any reason a module cannot be run we will advise you as soon as possible and will provide guidance on selecting an appropriate alternative module.

Year 1 compulsory modules
Year 1 compulsory modules
Ai And Chat Bots 30 credits
Digital Technologies 30 credits
Robotic Design And Worlds 30 credits
Software Development And Application Modelling 30 credits
Year 2 compulsory modules
Year 2 compulsory modules
Artificial Intelligence For Computer Games 30 credits
Commercial Computing 30 credits
Robot Ethics In An Ai World 30 credits
Robotic Programming 30 credits
Year 4 compulsory modules
Year 4 compulsory modules
Decision Analytics 30 credits
Final Year Project 30 credits
Robotic Modelling And Drone Skin Design 30 credits
Robotic Programming And Vision 30 credits

Entry requirements

We use UCAS points in our offer-making and welcome a wide range of qualifications.

112-120 UCAS Tariff points

  • GCE A Levels - grades BBC or equivalent
  • Pearson BTEC National Extended Diploma - grade DMM
  • Access to HE Diploma - Pass Access with a minimum of 80 UCAS tariff points. Applicants to Staffs who are taking the Access to HE Diploma receive a reduced tariff point offer as part of our access and participation plan activity
  • UAL Level 3 Extended Diploma - grade of Merit overall
  • OCR Cambridge Technical Extended Diploma - grade DMM
  • T Levels - Eligible T Level applications will be asked to achieve a minimum overall grade of P (A*-C) or Higher Pass as a condition of offer

International and mature students with different qualifications and experience are also encouraged to apply.

  • Typical UCAS Offer: 48 points
  • A levels: A, DD, EEE
  • BTEC: PPP

We use UCAS points in our offer-making and welcome a wide range of qualifications.

112-120 UCAS Tariff points

  • GCE A Levels - grades BBC or equivalent
  • Pearson BTEC National Extended Diploma - grade DMM
  • Access to HE Diploma - Pass Access with a minimum of 80 UCAS tariff points. Applicants to Staffs who are taking the Access to HE Diploma receive a reduced tariff point offer as part of our access and participation plan activity
  • UAL Level 3 Extended Diploma - grade of Merit overall
  • OCR Cambridge Technical Extended Diploma - grade DMM
  • T Levels - Eligible T Level applications will be asked to achieve a minimum overall grade of P (A*-C) or Higher Pass as a condition of offer

International and mature students with different qualifications and experience are also encouraged to apply.

We understand that you might have experienced a challenging run up to higher education and may have not met the entry requirements as listed. If this is the case don’t worry, contact us and our team of expert advisors can guide you through the next stages of application, or help you find the perfect course for your needs.

New research will assist further exploration of the Universe

News

Researchers at CERN, MIT, and Staffordshire University have implemented an algorithm for reconstructing particles at the Large Hadron Collider.

For equivalent entry requirements in your home country, please see the information on our country pages.

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Facilities

Careers

This course will prepare you for the world of work as you will have developed an all-round knowledge in the field and understand the opportunities for using AI in a business setting.

Graduates from this course have gone on to progress into a range of occupations across various sectors including finance, manufacturing, public health, and the entertainment industry. Roles could include real-time designer, robotic engineer, machine learning engineer, business intelligence developer, research and design engineer, software developer or data scientist.

All students have access to Career Connect, our dedicated careers team.

Computing at Staffordshire University

Computing at Staffordshire University

Video

We've invested in our computing facilities and we're invested in your future.

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Teaching and assessment

Teaching

Teaching approaches can include for example formal lectures, group work, tutorials/practical sessions, seminars, workshops, directed and self-managed study, and research projects. Each of these will be used on your modules so you get the chance to learn as effectively as possible.

Teaching approaches can include for example formal lectures, group work, tutorials/practical sessions, seminars, workshops, directed and self-managed study, and research projects. Each of these will be used on your modules so you get the chance to learn as effectively as possible.

Teaching approaches can include for example formal lectures, group work, tutorials/practical sessions, seminars, workshops, directed and self-managed study, and research projects. Each of these will be used on your modules so you get the chance to learn as effectively as possible.

Assessment

This course is mainly assessed via coursework, but does include a small number of exams. We have carefully designed assessments in order we use the best methods available to assess the integrated approach to theory and practice that you’ll engage in within the Computer Science discipline. Your coursework, carried out in response to assignments, project briefs or self-initiated proposals, will be presented in forms appropriate to that in the workplace, and will require you to work both individually and in teams in generating computing solutions to set problems. To back up your work you will also write reports and deliver presentations.  Formative assessment is carried out in tutorial and practical sessions and feedback is usually provided to you orally.

This course is mainly assessed via coursework, but does include a small number of exams. We have carefully designed assessments in order we use the best methods available to assess the integrated approach to theory and practice that you’ll engage in within the Computer Science discipline. Your coursework, carried out in response to assignments, project briefs or self-initiated proposals, will be presented in forms appropriate to that in the workplace, and will require you to work both individually and in teams in generating computing solutions to set problems. To back up your work you will also write reports and deliver presentations.  Formative assessment is carried out in tutorial and practical sessions and feedback is usually provided to you orally.

This course is mainly assessed via coursework, but does include a small number of exams. We have carefully designed assessments in order we use the best methods available to assess the integrated approach to theory and practice that you’ll engage in within the Computer Science discipline. Your coursework, carried out in response to assignments, project briefs or self-initiated proposals, will be presented in forms appropriate to that in the workplace, and will require you to work both individually and in teams in generating computing solutions to set problems. To back up your work you will also write reports and deliver presentations.  Formative assessment is carried out in tutorial and practical sessions and feedback is usually provided to you orally.

Learning support

In addition to the excellent support you will receive from your course teaching team, our central Academic Skills team provides group and one-to-one help to support your learning in a number of areas. These include study skills (including reading, note-taking and presentation skills); written English (including punctuation and grammatical accuracy); academic writing (including how to reference); research skills; critical thinking and understanding arguments; and revision, assessment and examination skills (including time management).

Additional support

Our Student Inclusion Services support students with additional needs such as sensory impairment, or learning difficulties such as dyslexia.

Feedback

Your course will provide you with opportunities to test your understanding of your subject informally (through formative feedback) before you complete the formal assessments. Each module normally includes practice or 'formative' assessments for which you receive feedback from your tutor. Practice assessments are developmental and any grades you receive for them do not count towards your module mark, but are essential for you to develop academically as a student. There is a formal or 'summative' assessment at the end of each module and the grades from formal assessments count towards your module mark. You will normally receive feedback on coursework assessments within 20 working days following the date of submission. The feedback you receive will help to focus you to achieve better grades on the next set of modules you study.

Your course will provide you with opportunities to test your understanding of your subject informally (through formative feedback) before you complete the formal assessments. Each module normally includes practice or 'formative' assessments for which you receive feedback from your tutor. Practice assessments are developmental and any grades you receive for them do not count towards your module mark, but are essential for you to develop academically as a student. There is a formal or 'summative' assessment at the end of each module and the grades from formal assessments count towards your module mark. You will normally receive feedback on coursework assessments within 20 working days following the date of submission. The feedback you receive will help to focus you to achieve better grades on the next set of modules you study.

Your course will provide you with opportunities to test your understanding of your subject informally (through formative feedback) before you complete the formal assessments. Each module normally includes practice or 'formative' assessments for which you receive feedback from your tutor. Practice assessments are developmental and any grades you receive for them do not count towards your module mark, but are essential for you to develop academically as a student. There is a formal or 'summative' assessment at the end of each module and the grades from formal assessments count towards your module mark. You will normally receive feedback on coursework assessments within 20 working days following the date of submission. The feedback you receive will help to focus you to achieve better grades on the next set of modules you study.

Year 1

33% of time in lectures, seminars or similar
68% of time in independent study
0% of time in placements

Year 2

26% of time in lectures, seminars or similar
74% of time in independent study
0% of time in placements

Year 3

14% of time in lectures, seminars or similar
86% of time in independent study
0% of time in placements

Year 1

38% practical assessments
38% coursework
25% written exams

Year 2

75% practical assessments
25% coursework
0% written exams

Year 3

45% practical assessments
55% coursework
0% written exams

Staff

Teaching and supervision on the course is undertaken by experienced academic staff who understand the value of your knowledge development applied to commercial and industrial contexts. You will find all our staff have extensive industrial or research-based backgrounds. Our philosophy is that of applied scholarship – thus, our approach to education is based on research-informed teaching that has direct value to industry and commerce and is of direct value to you as a professional in the IT industry. Furthermore, our staff have established a credible reputation and position as educators and researchers in Computer Science – evidenced by our on-going links with industry, significant commercial and knowledge transfer-based funding, research funding, and our work with regional agencies and business. You can be confident therefore, that you will be part of an academic community that understands the value of research and knowledge creation, the impact of computing education, and the significance of its application to the world we live in.

Dr David Dyke

Course Director

David's expertise focuses on control engineering, electrical circuit analysis, analogue electronics and hardware-based digital electronics. His research interests focus on social implications of technology and the use of AI for power systems design.

David's profile

James Mccarren

Senior Lecturer

James started out as an Engineering apprentice at the age of 16, developing his practical skills alongside academic qualifications. He has held several lead design engineering positions across the UK within international companies. Later in life…

James's profile

Dr Saeed Shiry Ghidary

Lecturer

Saeed has worked extensively with different industries for office and industrial automation. He has developed domain specific robots for sewer pipe inspection, education, entertainment, rescue, demining, rehabilitation, farming and metal industries.

Saeed's profile

Dr Ali Sadegh Zadeh

Lecturer

Ali specialises in the field of machine learning, data mining, and computational neuroscience. His main expertise is applying machine learning techniques in the field of neuroscience to early detection of neurodegenerative diseases like Alzheimer's.

Ali's profile

Dr Mohamed Sedky

Professor Of Cyber-Physical Systems

Mohamed is the lead researcher of Adaptive Video Analytic technologies, and is also the founder of Spectral-360. His current research interests include object recognition, object tracking, object segmentation, and face detection.

Mohamed's profile

Fees

For the course starting on 25 September 2023 the tuition fees are:

Tuition fees for BSc (Hons)-Full-time
Study option UK / Channel Islands International
Full-time £9,250 per year of study £16,750 per year of study

For the course starting on 25 September 2023 the tuition fees are:

Tuition fees for BSc (Hons) Full-time, with a foundation year
Study option UK / Channel Islands International
Full-time £9,250 for your first year subsequent years will be charged at the University standard rate £16,750 for your first year subsequent years will be charged at the University standard rate

For the course starting on 25 September 2023 the tuition fees are:

Tuition fees for BSc (Hons) Full-time, with a placement year
Study option UK / Channel Islands International
Full-time £9,250 per year of study £16,750 per year of study

UK and Channel Island students: This tuition fee is agreed subject to UK government policy and parliamentary regulation. If the UK government passes appropriate legislation, the fee for subsequent years of study may increase in each academic year. But this increase will not exceed the rate of inflation as measured by RPIX**. Any change in fees will apply to both new and continuing students. The University will notify students of any change as early as possible. Further information about fee changes would be posted on the University’s website once this becomes available.

**RPIX is a measure of inflation equivalent to all the items in the Retail Price Index (RPI) excluding mortgage interest payments.

International students: Tuition fees will remain the same for each year of your course, as long as you complete it in the normal time-frame (i.e. no repeat years or breaks in study).

Included in tuition fees
Included in the fees:

Travel, and accommodation costs incurred by compulsory trips and visits away from the University that are directly linked to the learning requirements of a specific module.

The use of all laboratories, workshops and specialist facilities relating to the course of study.

Heavily discounted tuition fees during the (optional) placement year.

Travel, and accommodation costs incurred by compulsory trips and visits away from the University that are directly linked to the learning requirements of a specific module.

The use of all laboratories, workshops and specialist facilities relating to the course of study.

Heavily discounted tuition fees during the (optional) placement year.

Travel, and accommodation costs incurred by compulsory trips and visits away from the University that are directly linked to the learning requirements of a specific module.

The use of all laboratories, workshops and specialist facilities relating to the course of study.

Heavily discounted tuition fees during the (optional) placement year.

Not included in tuition fees
Not included in the fees:

The estimated cost of text books over the duration of the course. All essential text books are available from the library, but some students chose to purchase their own copies.

Travel, subsistence, entrance fees etc. incurred by optional trips and visits away from the University related to the course.

Dependent on a student’s choice of final year project, some additional costs may be incurred for materials to support the development and delivery of the project.

The estimated cost of text books over the duration of the course. All essential text books are available from the library, but some students chose to purchase their own copies.

Travel, subsistence, entrance fees etc. incurred by optional trips and visits away from the University related to the course.

Dependent on a student’s choice of final year project, some additional costs may be incurred for materials to support the development and delivery of the project.

The estimated cost of text books over the duration of the course. All essential text books are available from the library, but some students chose to purchase their own copies.

Travel, subsistence, entrance fees etc. incurred by optional trips and visits away from the University related to the course.

Dependent on a student’s choice of final year project, some additional costs may be incurred for materials to support the development and delivery of the project.

Accommodation and living costs
Accommodation and living costs

Accommodation and living costs are not included in our fees. 

For more information on accommodation and living costs, please see: Accommodation

Sources of financial support

If you receive funding from Student Finance you may be eligible to apply for additional benefits. Details can be obtained by visiting: www.gov.uk

Scholarships and additional funding

As an undergraduate student at Staffordshire, you may be eligible for additional financial support through one of our scholarships and bursaries. You can visit our funding page to find out more and check your eligibility.

Scholarships and additional funding

As an undergraduate student at Staffordshire, you may be eligible for additional financial support through one of our scholarships and bursaries. You can visit our funding page to find out more and check your eligibility.

Scholarships and additional funding

As an undergraduate student at Staffordshire, you may be eligible for additional financial support through one of our scholarships and bursaries. You can visit our funding page to find out more and check your eligibility.

Our students

After a successful career in the Armed Forces, I found myself in low skilled work that didn’t match my personality and interests. I came to Staffordshire University at the age of 33, with a view to future proofing the rest of my working life. I had always been interested in technology, in particular, Robotics and automation but hadn’t gained any real experience in computer software relevant to a job role.

This year, I managed to secure a placement at the ‘Small Robot Company’, who are developing robots to provide an agricultural service directly to farmers. I’ve been working on live robotic applications applying skills in a real setting whilst learning new skills on the job. I believe that this experience will solidify my employability when I graduate in 2023

Michael Alcock

BSc (Hons) AI and Robotics

The staff have been very helpful. They hold regular drop-in sessions for those who are struggling to get the help they need.

I have always enjoyed computer science and Artificial intelligence is a module that has never been taught at A level or GCSE and it has always fascinated me, so I knew it was what I wanted to study at university. The robotics module was something I found out whilst researching universities and realised having that in addition to the AI opens up a lot more career pathways in the future.

The staff have been very helpful. They hold regular drop-in sessions for those who are struggling to get the help they need. They also take their time going through the lectures to ensure everyone is understanding as it is harder online to ensure everyone is following along but they do an excellent job.

Callum McCready

BSc (Hons) AI & Robotics

During my Master’s Degree in Mechatronics, Robotics and Automation Engineering, the staff believed in me, developed my skills and enabled me to succeed in my career.”

Shadi Daana

Graduate, Autonomous vehicle Engineer with ASAL Technologies

Over my four years at Staffordshire University, the staff helped me grow as a person and made me believe in myself, whilst giving me both technical skills and professional advice. They encouraged me to be bold and daring in my studies and future career plans.

Stanley Mugabe

Graduate, Development programmer for Seven Trent PLC

The staff were always there 24 hours a day, 7 days a week, always patient and supportive during those stressful times! They opened my eyes to the world of Robotics and Computer Science and simply enabled me to believe in myself, enabling me to compete with graduates from across the world.

Masis Torosyan

Graduate, Consultant with Balloon One

Over my four years, the staff taught me many skills, both technical and professional.

Over my four years, the staff taught me many skills, both technical and professional. Many of those skills I use today in industry and will continue to use throughout my entire career. Lectures were always interesting, technically demanding and most importantly, related to industry.

Thank you for giving me the practical skills and confidence to take a placement in Airbus Helicopters in Germany. With kind support and guidance, you have enabled me to grow into a confident and highly-skilled consultant.

Kieran Moorfield

Graduate, Home Office Consultant with QA Consulting

Apply

Location Award Study option Start date Apply Link
Stoke-on-Trent campus BSc (Hons) Full-time 25 September 2023 Apply now

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If you are offered a place at Staffordshire University, your offer will be subject to our rules, regulations and enrolment conditions, which may vary from time to time.

Students of Staffordshire University enter into a contract with us and are bound by these rules and regulations, which are subject to change. For more information, please see: University Policies and Regulations.

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of Research Impact is ‘Outstanding’ or ‘Very Considerable’

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