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    Key Facts

    Program Level

    Bachelor

    Study Type

    Full Time

    Delivery

    On Campus

    Campuses

    Main Site

    Program Language

    English

    Start & Deadlines

    Next Intake Deadlines25-Sep-2023
    Apply to this program

    Go to the official application for the university

    Duration 4 year(s)
    Tuition Fee
    GBP 16,750  / year
    Next Intake 25-Sep-2023

    AI and Robotics BSc (Hons)

    About

    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.

    Youâll 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. Youâll 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, youâll 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.

    Youâll 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. Youâll 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, youâll 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.

    Youâll 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. Youâll 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, youâll 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.

    • Enquire about this course
    • Book an Open Day
    • Apply now

    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 youll 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 youll 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 youll 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.

    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.

    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.

    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 youll 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 youll 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 youll 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.

    Disciplines

    School of Digital

    Technologies and Arts

    Requirements

    Entry Requirements

    Undergraduate

    Undergraduate (bachelors) degrees

    To apply for an undergraduate (bachelors) degree you need one of the following qualifications:

    • Community College Diploma / Associate Degree with a minimum grade GPA of 2.5
    • International Baccalaureate (IB) Diploma with 28 points overall
    • Successful completion of a relevant International Foundation Year from a recognised UK Institution
    • For A-Level requirements, please see the ‘entry requirements’ section on the relevant course page

    Integrated masters and two-year accelerated degrees

    To apply for an integrated masters or two-year accelerated degree you need one of the following qualifications:

    •  Community College Diploma / Associate Degree with a minimum grade of 2.8
    • International Baccalaureate (IB) Diploma with 30 points overall
    • Successful completion of a relevant International Foundation Year from a recognised UK Institution
    • For A-Level requirements, please see the ‘entry requirements’ section on the relevant course page

    English Program Requirements

    The majority of our undergraduate bachelor degree courses require a minimum overall IELTS score of 6.0, with 5.5 in reading, writing, speaking and listening. However, we also accept a wide range of qualifications from around the world. The following qualifications are acceptable for most of our Bachelor degree courses.

    Career

    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.

    Fee Information

    Tuition Fee

    GBP 16,750 

    How to Apply

    • Contact one of our approved overseas education representatives in your country

    • Use the ‘apply now’ button on the undergraduate course pages to apply through UCAS. (Visit the UCAS website for more information). To do this, you'll need:

      • UCAS course code - you’ll find the four-digit code (e.g. P500) in our prospectus, on the course page or on the UCAS website.

      • An institution code for the university – it's S72 for Staffordshire University.

    Staffordshire University

    AI and Robotics BSc (Hons)

    Staffordshire University

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    United Kingdom,

    Stoke-on-Trent

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