Artificial Intelligence

This course is available in Clearing for September 2024

Apply through Clearing

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:
23 September 2024

Amazing placement opportunities

Spend up to 12 months working in industry

Gain recognised qualifications

Get certificates from Microsoft Azure and AWS

Artificial Intelligence (AI) is the driving force behind revolutionary advancements. From self-driving cars and mobile applications through to diagnosing illnesses and detecting fraud, it has become ubiquitous.

AI is also an integral part of the UK Government's strategic planning, shaping the future across diverse sectors.

Our BSc (Hons) Artificial Intelligence course is meticulously crafted to equip you with a strong academic foundation and industry-relevant skills. It will ensure you're poised for success in this rapidly expanding domain.

We’ll introduce you to projects, lots of practical learning and the platforms you’ll find in industry. Throughout our course you will also have an opportunity to be certified in AWS and Microsoft Azure, empowering you with essential industry-recognised skills.

We offer some amazing work placement opportunities too - with companies locally, nationally and abroad. You can spend a year working in industry before you graduate, helping to transform services and products through AI.

On the course, you’ll develop a comprehensive understanding of AI principles and their practical applications. The modules cover vital aspects of AI, including machine learning, deep learning, computer vision, and natural language processing (NLP).

You will immerse yourself in a hands-on learning environment where theoretical knowledge converges with practical applications. By using advanced software and IDEs like NetBeans, PyCharm, and Visual Studio Code, students delve into modern languages (such as Java, Python and C++) to develop AI algorithms and machine learning models for a wide range of applications.

We collaborate closely with industry giants like Microsoft and Amazon, providing experience in programming, developing, and deploying AI solutions for societal needs. Your employability is at the heart of the course. 

AI is also an integral part of the UK Government's strategic planning, shaping the future across diverse sectors.

Our BSc (Hons) Artificial Intelligence course is meticulously crafted to equip you with a strong academic foundation and industry-relevant skills. It will ensure you're poised for success in this rapidly expanding domain.

We’ll introduce you to projects, lots of practical learning and the platforms you’ll find in industry. Throughout our course you will also have an opportunity to be certified in AWS and Microsoft Azure, empowering you with essential industry-recognised skills.

We offer some amazing work placement opportunities too - with companies locally, nationally and abroad. You can spend a year working in industry before you graduate, helping to transform services and products through AI.

On the course, you’ll develop a comprehensive understanding of AI principles and their practical applications. The modules cover vital aspects of AI, including machine learning, deep learning, computer vision, and natural language processing (NLP).

You will immerse yourself in a hands-on learning environment where theoretical knowledge converges with practical applications. By using advanced software and IDEs like NetBeans, PyCharm, and Visual Studio Code, students delve into modern languages (such as Java, Python and C++) to develop AI algorithms and machine learning models for a wide range of applications.

We collaborate closely with industry giants like Microsoft and Amazon, providing experience in programming, developing, and deploying AI solutions for societal needs. Your employability is at the heart of the course. 

AI is also an integral part of the UK Government's strategic planning, shaping the future across diverse sectors.

Our BSc (Hons) Artificial Intelligence course is meticulously crafted to equip you with a strong academic foundation and industry-relevant skills. It will ensure you're poised for success in this rapidly expanding domain.

We’ll introduce you to projects, lots of practical learning and the platforms you’ll find in industry. Throughout our course you will also have an opportunity to be certified in AWS and Microsoft Azure, empowering you with essential industry-recognised skills.

We offer some amazing work placement opportunities too - with companies locally, nationally and abroad. You can spend a year working in industry before you graduate, helping to transform services and products through AI.

On the course, you’ll develop a comprehensive understanding of AI principles and their practical applications. The modules cover vital aspects of AI, including machine learning, deep learning, computer vision, and natural language processing (NLP).

You will immerse yourself in a hands-on learning environment where theoretical knowledge converges with practical applications. By using advanced software and IDEs like NetBeans, PyCharm, and Visual Studio Code, students delve into modern languages (such as Java, Python and C++) to develop AI algorithms and machine learning models for a wide range of applications.

We collaborate closely with industry giants like Microsoft and Amazon, providing experience in programming, developing, and deploying AI solutions for societal needs. Your employability is at the heart of the course. 

On successful completion of study, we will issue the following award: BSc (Hons) Artificial Intelligence

On successful completion of study, we will issue the following award: BSc (Hons) Artificial Intelligence

On successful completion of study, we will issue the following award: BSc (Hons) Artificial Intelligence

Work placements

You can choose to complete a paid 12-month work placement, available between the second and final year of your course. This invaluable opportunity allows you to apply your skills in real-world scenarios, tackling substantial challenges.

Our diverse array of placement options spans connections with local and national SMEs to collaborations with renowned multinational corporations. Previous placements encompass collaborations with industry leaders like Airbus in Germany, Amazon, Microsoft, police forces, NHS, and bet365.

Work placements

You can choose to complete a paid 12-month work placement, available between the second and final year of your course. This invaluable opportunity allows you to apply your skills in real-world scenarios, tackling substantial challenges.

Our diverse array of placement options spans connections with local and national SMEs to collaborations with renowned multinational corporations. Previous placements encompass collaborations with industry leaders like Airbus in Germany, Amazon, Microsoft, police forces, NHS, and bet365.

Work placements

You can choose to complete a paid 12-month work placement, available between the second and final year of your course. This invaluable opportunity allows you to apply your skills in real-world scenarios, tackling substantial challenges.

Our diverse array of placement options spans connections with local and national SMEs to collaborations with renowned multinational corporations. Previous placements encompass collaborations with industry leaders like Airbus in Germany, Amazon, Microsoft, police forces, NHS, and bet365.

Course content

In the first year, you'll cover the foundational aspects of AI. You will learn algorithm design and programming in Python, gaining insights into algorithms, data structures, problem analysis, and software testing. Additionally, you will delve into applications of AI by creating C++ Windows platform applications and interfacing with AI bots like Pepper, Alexa, or Siri. Students also explore cloud computing and cyber security using Amazon Web Services (AWS) and comprehend computer architecture and operating systems.

Building on the groundwork, the second year delves deeper into advanced AI techniques. You'll critically evaluate and apply machine learning and data mining methodologies to analyse data patterns. You will develop proficiency in advanced machine learning, creating artificial neural networks (ANN) for real-world applications. You will also look at data analytics beyond traditional database management systems and learn essential programming techniques in Java or C#. You’ll engage in professional practice and project management to hone your skills as well.

The final year is dedicated to specialised areas and applied AI concepts. You'll delve into advanced data science, uncovering latent patterns in raw data, pivotal for informed business decisions. You’ll explore the intricacies of natural language processing (NLP), becoming immersed in text mining and technology utilisation. Additionally, you will focus on computer vision, learning to extract information from images or video data. You will apply your knowledge and skills by undertaking comprehensive projects, showcasing your adeptness in analysing intricate problems and proposing innovative AI solutions.

You will also complete a final project, which will be negotiated between you and your supervisor. This project will delve into the specialist knowledge you have acquired throughout the course.

In the first year, students cover the foundational aspects of AI. You will learn algorithm design and programming in Python, gaining insights into algorithms, data structures, problem analysis, and software testing. Additionally, you will delve into applications of AI by creating C++ Windows platform applications and interfacing with AI bots like Pepper, Alexa, or Siri. Students also explore cloud computing and cyber security using Amazon Web Services (AWS) and comprehend computer architecture and operating systems.

Building on the groundwork, the second year delves deeper into advanced AI techniques. Students critically evaluate and apply machine learning and data mining methodologies to analyse data patterns. You will develop proficiency in advanced machine learning, creating artificial neural networks (ANN) for real-world applications. Students also look at data analytics beyond traditional database management systems and learn essential programming techniques in Java or C#. You’ll engage in professional practice and project management to hone your skills as well.

The final year is dedicated to specialised areas and applied AI concepts. Students delve into advanced data science, uncovering latent patterns in raw data, pivotal for informed business decisions. You’ll explore the intricacies of natural language processing (NLP), becoming immersed in text mining and technology utilisation. Additionally, students focus on computer vision, learning to extract information from images or video data. You will apply your knowledge and skills by undertaking comprehensive projects, showcasing your adeptness in analysing intricate problems and proposing innovative AI solutions.

You will also complete a Final Project, which will be negotiated between you and your supervisor. This project will delve into the specialist knowledge you have acquired throughout the course.

In the first year, students cover the foundational aspects of AI. You will learn algorithm design and programming in Python, gaining insights into algorithms, data structures, problem analysis, and software testing. Additionally, you will delve into applications of AI by creating C++ Windows platform applications and interfacing with AI bots like Pepper, Alexa, or Siri. Students also explore cloud computing and cyber security using Amazon Web Services (AWS) and comprehend computer architecture and operating systems.

Building on the groundwork, the second year delves deeper into advanced AI techniques. Students critically evaluate and apply machine learning and data mining methodologies to analyse data patterns. You will develop proficiency in advanced machine learning, creating artificial neural networks (ANN) for real-world applications. Students also look at data analytics beyond traditional database management systems and learn essential programming techniques in Java or C#. You’ll engage in professional practice and project management to hone your skills as well.

The final year is dedicated to specialised areas and applied AI concepts. Students delve into advanced data science, uncovering latent patterns in raw data, pivotal for informed business decisions. You’ll explore the intricacies of natural language processing (NLP), becoming immersed in text mining and technology utilisation. Additionally, students focus on computer vision, learning to extract information from images or video data. You will apply your knowledge and skills by undertaking comprehensive projects, showcasing your adeptness in analysing intricate problems and proposing innovative AI solutions.

You will also complete a Final Project, which will be negotiated between you and your supervisor. This project will delve into the specialist knowledge you have acquired throughout the course.

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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 where available.

Year 3 compulsory modules
Year 3 compulsory modules
Advanced Data Science 20 credits
Computer Vision 20 credits
Dissertation 40 credits
Natural Language Processing 20 credits
Negotiated Studies 20 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 where available.

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 where available.

Year 4 compulsory modules
Year 4 compulsory modules
Advanced Data Science 20 credits
Computer Vision 20 credits
Dissertation 40 credits
Natural Language Processing 20 credits
Negotiated Studies 20 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.

Ideally you will be educated in Maths to grade C (Grade 4) at GCSE or above, however, if you do not have this we recommend you to contact the University so we can advise you.

  • 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.

Ideally you will be educated in Maths to grade C (Grade 4) at GCSE or above, however, if you do not have this we recommend you to contact the University so we can advise you.

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.

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

Choose your country

Check our entry and English language requirements for your country.

GO

Facilities

Careers

There’s huge demand for skilled specialists, who understand the opportunities of using AI in lots of different contexts.

Our graduates have gone on to work in a variety of sectors, ranging from finance and public health through to the entertainment industry.

Typical roles include data analysts, AI or algorithm developers, business intelligence developers, software developers and data scientists.

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

Teaching and assessment

Teaching

You will be taught through 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.

You will be taught through 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.

You will be taught through 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 AI course primarily uses coursework assessment with a few exams. Our assessments are thoughtfully crafted to evaluate the combined theoretical and practical aspects inherent in Computer Science. Your coursework, responding to assignments, projects, or self-proposed ideas, mirrors workplace practices. It necessitates both individual and teamwork to devise computing solutions for designated challenges. Additionally, you'll prepare reports and presentations to support your work.

This AI course primarily uses coursework assessment with a few exams. Our assessments are thoughtfully crafted to evaluate the combined theoretical and practical aspects inherent in Computer Science. Your coursework, responding to assignments, projects, or self-proposed ideas, mirrors workplace practices. It necessitates both individual and teamwork to devise computing solutions for designated challenges. Additionally, you'll prepare reports and presentations to support your work.

This AI course primarily uses coursework assessment with a few exams. Our assessments are thoughtfully crafted to evaluate the combined theoretical and practical aspects inherent in Computer Science. Your coursework, responding to assignments, projects, or self-proposed ideas, mirrors workplace practices. It necessitates both individual and teamwork to devise computing solutions for designated challenges. Additionally, you'll prepare reports and presentations to support your work.

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 such as reading, note-taking and presentation skills
  • written English, including punctuation and grammatical accuracy
  • academic writing and how to reference
  • research skills
  • critical thinking and understanding arguments
  • revision, assessment and examination skills
  • 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.

Independent learning

For all subjects in addition to teaching you will need to spend related time in independent study.

For all subjects in addition to teaching you will need to spend related time in independent study.

For all subjects in addition to teaching you will need to spend related time in independent study.

Staff

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

Christopher Howard

Course Director

Chris is a networking professional with over 30 years’ experience in the technical and academic field. He is currently the course director for Cyber Security and Networks.

Christopher's profile

Dr Benhur Bakhtiari Bastaki

Senior Lecturer

Benhur is Course Leader for BSc Artificial Intelligence. His is an active researcher and his current areas of interest are artificial intelligence, machine learning, ambient intelligence, ubiquitous sensing, contextual information and data mining.

Benhur's profile

Stephen Cahill

Senior Lecturer

Steve is a Networks and Server Specialist who focuses primarily on teaching Virtualisation and Infrastructure Modules. His area of interest is primarily Hardware Platforms and Monitoring Systems.

Dr Saeed Shiry Ghidary

Lecturer

I hold a Ph.D. in Robotics from Kobe University. With 20 years of teaching experience in AI and Robotics, I have published numerous papers. My research interests include Robotics, AI, machine learning, telerobotics, mobile robots, and theoretical ML

Saeed's profile

Christopher Hawkins

Lecturer

Chris is a PhD researcher and Certified Ethical Hacker. His main area of interest is in Ethical Hacking and the breach of computer systems, as well as wider Cyber Security and Law Enforcement.

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

Fees

For the course starting on 23 September 2024 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 23 September 2024 the tuition fees are:

Tuition fees for BSc (Hons)-Full-time
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 23 September 2024 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

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.

Not included in tuition fees
Not included in the fees:

It is recommended students purchase a laptop.

It is recommended students purchase a laptop.

It is recommended students purchase a laptop.

Accommodation and living costs
Accommodation and living costs

Accommodation and living costs are not included in our fees. 

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 reading our additional funding web pages, or 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.

Apply

Location Award Study option Start date Apply Link
Stoke-on-Trent campus BSc (Hons) Full-time 23 September 2024 Apply now

Rules and regulations

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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in the UK for Quality Education

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Whatuni Student Choice Awards 2023

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Whatuni Student Choice Awards 2023

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The Times and The Sunday Times Good University Guide 2023

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