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Course details

MSc in Artificial Intelligence

Three start dates per year: January, May and September

Next course start date: 30 January 2023

Next welcome week: 23 January 2023

Application deadline: 9 January 2023

Duration: two years (part-time)

Format: online, with optional face-to-face events

Total fees: £8,250 (payment by instalment and funding options available)

Additional costs: due to the nature of the subject, and copyright restrictions placed on institutional libraries by some publishers, students will need to purchase some core texts.

Support with your application: Applications for January 2023 open soon. Contact our course adviser team today for application advice.

APPLICATION PROCESS ❯

 

 

Why this MSc in Artificial Intelligence?

Disruptive technologies such as Artificial Intelligence (AI) are at the forefront of the Fourth Industrial Revolution. This online course has been designed to support individuals who are ready to lead in this fast-moving field and create new opportunities for themselves and their organisations. 

Taught by our research-active academics, you’ll master how to research and create AI solutions to real-world challenges, implement new technologies for data-driven businesses, and navigate future technological changes as well. 

Integrated into the programme is a critical consideration of the ethics of using AI, including analyses of unethical usage of AI, the spread of misinformation, and location tracking. Acting with transparency and accountability are deeply embedded characteristics of the course. Find out more:

CONTACT US ❯

What you learn

The programme introduces you to Python and its AI algorithms as a basis for learning how to communicate ideas and data visualisations to non-specialist audiences. It covers advanced technologies such as Machine Learning/Deep Learning and prepares you for the ethical, regulatory and social aspects of the fair use of AI.

The programme also focuses on applied AI with case studies on the use of AI in the industry including health, legal, sustainability, climate change, automobile and local government. 

Your time with us will help you gain a wide range of competencies needed to progress in the field of AI with confidence and clarity. As one of our students, you’ll learn how to: 

  • Identify, apply, and implement a range of AI tools, algorithms, and techniques for creative problem-solving 
  • Clearly convey ideas and the application of AI to non-specialist audiences, as well as how to present the outcomes of AI solutions 
  • Critically reflect upon and address the legal, social, ethical, cultural, and professional implications of using AI 
  • Use knowledge of applied Machine Learning/ Deep Learning techniques, business analytics, and associated business strategies based on AI to design solutions for a range of applied fields 
  • Utilise various research methods to study AI, and further your understanding of business models and management to contextualise your output 
  • Critically reflect on the significance and impact of AI within the workplace 
  • Explore the horizon of AI and its real-world applications in fields such as healthcare, marketing, and the government/public sector 

 

Learn key terms in Artificial Intelligence

Our glossary can help you get ready for an MSc in Artificial Intelligence with simple definitions of common terms in the industry.

READ THE GLOSSARY ❯

 

Course modules

 

Our postgraduate course is focused on giving you an education of real-world value. The modules below are designed to equip you with the specialist knowledge, practical expertise, and critical thinking needed to succeed across a range of industries and sectors. 

Please note that all modules are compulsory. 

Artificial Intelligence Foundations (30 credits) Grey


An introduction to the fundamental concepts in Artificial Intelligence, and their real-time applications. Build fundamental skills in AI-relevant programming concepts along with a critical awareness of important principles in software design and development. You’ll learn how to create applications in Python. 

Machine Learning & Deep Learning (30 credits) Grey


Today, leading global organisations use Machine Learning (ML) and deep neural network systems in a variety of products and applications. This module can help you to delve deeper into the three key areas of AI: problem-solving, knowledge representation and ML and their industry-level applications.

Ethical, Regulatory and Social Aspects for Fair AI (30 credits) Grey


Learn how to develop a research proposal to address real-world questions and challenges. Further your knowledge of the ethical, legal, social, and professional frameworks you’ll need to both uphold and operate within. 

Applied Artificial Intelligence (30 credits) Grey


Gain an advanced understanding of the application of AI – particularly within the context of business. You’ll explore the use of different technologies for business management, business model thinking and innovation, business process design, and adapting to change. Discover more about the link between AI and communication, including (mis) information diffusion and human-computer interactions. 

Research / Consultancy Project (60 credits) Grey

 

Challenge yourself with applying the expertise you have developed during your studies to take on a dissertation, research project, or consultancy project. Your final project can tackle any issue in an area of the field that you’d like to specialise in – or even an actual need in your current workplace.  

For example, you could choose to create an AI solution for your company that addresses a unique challenge it faces. You’ll take on the project under the supervision of a member of our academic team and also have the freedom to use your solution to make new strides in your place of work. 

Got a question about studying with us?

Our course advisers are happy to help.

CONTACT US ❯

How you're assessed

All assessment is based on coursework and submitted online. 

Your performance will be evaluated through a range of methods, including: 

  • Ongoing tutor and peer feedback 
  • Practical work, such as programming activities and code reviews 
  • Written work, such as essays and individual reports 

These will be opportunities for you to identify appropriate AI approaches to real-world problems, run AI analytics, and explore the use and communication of the outcomes of AI applications in real-world contexts. 

You’ll also be encouraged to regularly reflect on your own performance, to further your ability to critically evaluate and direct your development. 

Teaching team

Our staff hold a rich array of both academic and industry experience to support your learning goals. With their expertise, you’ll be able to explore a range of topics within the field with a new level of depth and insight. 

Rameez Kureshi

Course Leader

Rameez has expertise in Artificial Intelligence (AI), Data Science and the Internet of Things (IoT). He combines research in these areas to address environmental and societal challenges.

Learn more about Rameez >

What are the entry requirements?

  • Evidence of programming experience (any modern computer language). For example, a recognised course or module at level 3 or above, an industrial certificate, or a summary of programming projects undertaken

  • Either an Honours (or higher) degree at 2:2 or above or international equivalent in any subject,

  • Or a minimum of 3 years relevant industrial experience (for example, using or managing AI projects, software development/engineering, software support 

  • An IELTS 6.0 score (with minimum 5.5 in each skill) if your first language isn't English (or other English language proficiency qualifications accepted by the University of Hull)

If you're unsure whether you're eligible to apply, please get in touch with our friendly course adviser team for advice:

CONTACT US ❯

Want to discover new ways of approaching organisational challenges?

Earning an MSc in Artificial Intelligence is an excellent way to enter the field. Here are 4 reasons to study the subject:

 

The Department of Computer Science and Technology

Our computer science research was ranked joint fifth in the UK for impact, with 80% of all submitted research impact reaching the four-star benchmark for world-leading work. 

The department is connected to internationally acclaimed, data-led organisations such as Microsoft, Sony, and EA. Our links to these industry leaders ensure that our programmes maintain their rigorous standards, positioned at the forefront of the latest technology and teaching. 

Career prospects

Ultimately, your employability will be the key focus of this MSc. From training in computer programming to building your analytic experience with engaging case studies, your time on the course will help you develop an excellent portfolio evidencing your AI expertise. 

The growth of AI is rapidly changing the way we live, work, and learn – however, there’s a considerable shortage of AI specialists across most of the world. Upon graduating from this course, you’ll be well-positioned to help meet this demand.

The expertise that you’ll gain through your studies will help you earn promotions into more senior-level positions, or even secure new opportunities in various areas such as healthcare, military, financial services, law and agriculture as a data analyst, AI engineer and Business Intelligence (BI) developer and many more depending on how you’d like to advance your career. 

Ready to apply?

Our step-by-step application process is easy to follow.

 


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