MSc in Artificial Intelligence

Build a career that’s future-proofed


The programme introduces you to Python AI libraries and coding techniques, 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.

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Course Details

Three start dates per year: January, May and September

Next course start date: 25 September 2023

Next welcome week: 18 September 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: Contact our course adviser team today for application advice.

Why this course?

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.


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.
Module 1 - Artificial Intelligence Foundations (30 credits)

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.

Module 2 - Machine Learning & Deep Learning (30 credits)

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.

Module 3 - Ethical, Regulatory and Social Aspects for Fair AI (30 credits)

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.

Module 4 - Applied Artificial Intelligence (30 credits)

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.

Module 5 - Research / Consultancy Project (60 credits)

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.

How you will learn

Benefits of learning online with us

Your virtual classroom
Everything you need to complete your studies can be accessed on Canvas, our easy-to-use virtual learning environment (VLE). From reading academic feedback to engaging with fellow students, you can turn to Canvas whenever you have some free time for your course. Access it via your browser or through the Canvas Student mobile app for a convenient way to learn while on the move.
How online studying works
-Engage while you learn
Your studies include an interactive mix of online discussion boards, on-demand lectures and live webinars. -Get help from your tutors when you need it
Through our online learning platform, you have easy access to support and feedback from your tutor. -Submit your assignments online
There's no need to worry about travel costs, visas, or time off work. All assignments are submitted and graded online. -Get started with basic hardware and software requirements
We make your online learning experience as hassle-free as possible. Visit our FAQs page for basic requirements. -Pay as you go or pay upfront
We offer flexible payment options so you can manage your finances.
Planning for your course
We know that many of our students are managing a number of personal and professional commitments while studying with us. While it can be a challenge to adapt to the added demands of a postgraduate programme, planning out times to study can help ensure you find your course enjoyable and rewarding. As with most part-time master’s courses, you’ll need to dedicate around 20 hours a week to studying, but the extra flexibility of online learning means you can choose the times that suit you best.

How students study with us

• No visas or moving costs
• Access course from anywhere in the world
• Spend approx. 20-25 hours studying each week
• All course materials are available on demand
• Revise on the days and times that suit you best
• Course modules broken down into weekly
• Fit studies around work, family and social life
• Support with non-academic queries from a
student adviser team

Additional Support

As one of our students, you’ll have access to a range of services designed to support your studies and make your time with us as enjoyable as possible. -Our comprehensive online library of books, journals, and resources -A Student Advisor team to answer non-academic queries -Online software tutorials via LinkedIn Learning -The Students’ Union community -Career advice, CV creation, practice interviews, and more via our careers platform

Career prospects and opportunities

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.

What jobs can a postgraduate degree in Artificial Intelligence lead to? 

As the application of AI continues to grow, so do the opportunities. According to Payscale, in 2022, the median US salary for jobs requiring AI skills is USD 127,000. And in a 2021 report by Burning Glass, AI-related jobs were forecast to increase by 71% over the following five years.

If you’re after a truly future-proofed career, this is for you. Here are some of the most popular jobs in AI right now:

  • Artificial intelligence researcher
  • Data analyst
  • Data scientist
  • Deep learning engineer
  • Machine learning engineer
  • Natural language processor
  • Python developer
  • Robotics engineer
  • Software engineer

How to apply

Benefits of learning online with us

  • Either an Honours (or higher) degree at 2:2 or above or international equivalent in a STEM discipline (such as computer science, physics, mathematics) or closely related subjects. Applicants must have studied, as part of their first degree, a module in mathematics (pure or applied), statistics, computing, or data analysis or equivalent professional experience (including training in coding).
  • Or, applicants without relevant degree qualifications will be considered based on relevant professional experience or training, which must include competence in computer programming. This can be evidenced, for example, through a recognised course or module at level 3 or above, an industrial certificate, or a summary of programming projects undertaken.
  • An IELTS 6.0 score (with a minimum of 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 course adviser team for advice.


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