DAIM student Kuniko Azuma with lecturer

Faculty of Science and Engineering

MSc Artificial Intelligence and Data Science

Postgraduate - Taught MSc

Open for admission in 2023/24 to home (UK) students

Closed for admission in 2023/24 to international students

Open for admission in 2024/25 to home (UK) and international students

Start in September, January

Qualification Full time Part time
MSc 1 year 18 months

About the course

Data is one of today’s most valuable commodities and AI touches almost every walk of life. From improving diagnosis and treatment in healthcare to offering new creative tools for artists.

Our MSc offers a fast-track to career success in this field. You’ll develop key skills including programming, problem-solving, and data visualisation and interpretation.

At the end of the course, you’ll be able to apply these techniques to real-world problems. You’ll have the knowledge to test methodologies. As well as the skills to plan, design and carry out empirical research.

How you’ll learn

  • Intensive on-campus teaching, normally one day a week
  • Based at our state of the art DAIM building
  • Lectures, workshops and a self-led research project
  • In-person sessions focus on problem-solving and group work
  • Spend the remaining time outside of lectures and teaching, to complete your coursework and implement the skills you have learned

What is ‘intensive teaching’?

It’s normally one full day of in-person teaching from 9 am to 6 pm. All your in-person lectures and workshops will usually be on this day.

So you generally only need to commute to campus once a week. Perfect if you’re travelling far to get here, or need to be flexible for work or childcare.

Who this course is for

Want to change direction? Switch careers? Or upskill? Our MSc is for you. It’s a fast-track Masters-level conversion course. Which means anyone from any academic background can apply to study it.

Our students join us from a range of STEM and non-STEM subjects. English Literature, Maths, Music, Politics, Psychology, Physics, Marketing, Biology, Computer Science, and more.

Don’t have programming experience? That’s okay. You’ll learn Python coding at the start of the course to make sure you’re up to speed.

So if you’ve completed a related undergraduate degree, that’s great. But if not, we’d still love to hear from you. You bring your ideas, energy and experience, we’ll teach you the rest.

This course is closed to International students for study in September 2023.

If you are a home (UK) student and want to study this programme in September 2024 please contact admissions on 01482 466850 or pghome@hull.ac.uk.

The January 2024 intake is available for full-time study only and is open to both UK and international applicants.


Artificial Intelligence and Data Science Bursaries​


To support widening participation students studying this course in January 2024/25, a round of  scholarships worth £10,000 are available to applicants, which will be prioritised for women, black, disabled or low-income background students.

Find out more and apply now.

What you'll study

Unlike other universities, you’ll cover the full breadth of AI – not just one specialism. From programming and machine learning, to big data and ethical responsibilities.

Trimester 1
Take one AI and one data science module, together with the programming module.

Trimester 2
Advance your AI and data science skills with further modules. And prepare for your dissertation by exploring case studies and working on a research proposal.

Trimester 3 (Dissertation)
An opportunity to choose your own research project in a disciplinary area relevant to your background or career goals. Alternatively, there may also be an opportunity to undertake a project working with one of our industry partners, solving real-world problems.

Our partners include Humber Outreach Partnership, Naimuri, Spencer Group, J.R Rix & Sons, KCOM, The Deep, Lampada Digital Solutions, Optalysys and C4DI.



All modules are subject to availability and this list may change at any time.

  • Programming for AI and Data Science

    The module content is designed to ensure that you are equipped with the fundamental programming skills in Python to allow you to successfully undertake the remainder of the programme.

    Techniques that will be taught include:

    • Installation and Packages, including specific packages for machine learning, data science, and artificial intelligence.

    • Fundamentals of coding

    • Documentation, File Handling and Lists, Variables and Data Types, Functions and Loops, Conditions and Data Manipulation, Graphing and basic visualization, Debugging and testing.

    This module is assessed by a portfolio of work.


  • Fundamentals of Data Science

    An introduction to the principles of data science and data analysis. Topics include:

    • Data Science Context: Datafication of society and the history of data science; Properties and types of data (e.g., quantitative and categorical data)

    • Classification and regression, introduction to Kaggle and other sources of data

    • Data Management: Data collection and techniques; Cleaning of data and processing; Data errors and artefacts; missing data

    • Introductory statistical approaches to data: Introduction to probabilities; Descriptive statistics (e.g., centrality measures) and characterizing distributions; Correlations; Statistical hypothesis testing

    • Data analysis and visualization: Types of visualization and interpretation; Regression models

    • Applications: Real-world data applications, including examples

    • The legal framework and ethical implications of data science

    This module is assessed by a presentation and project report.


  • Understanding AI

    An introduction to the fundamental concepts in Artificial Intelligence, and their application. Topics include:

    • Origins of AI: What is AI?; From early history to the Dartmouth conference and the present day; Intelligent agents, and performance measures.

    • Learning, Frameworks and Packages: Introduction to supervised and unsupervised learning; Convolution neural networks, Capsule neural networks; Keras; Tensorflow

    • Implications for Society: Legalities; Ethics and professional implications; Social consequences

    This module is assessed by a portfolio of work.


  • Big Data and Data Mining

    This module gives students a range of practical applications of data science by examining closely how we mine data from big data sets. This covers a range of approaches from pattern association to network analysis and is underpinned by an ethical framework.

  • Applied Artificial Intelligence

    The module will build on the concepts introduced in the first Artificial Intelligence module and provide you with the skills and knowledge to undertake your dissertation. Topics will include:

    • Classification: revisiting the classification problem; Hyperplanes; Naive Bayes classifiers

    • Deep Learning: neural networks; Autoencoders and Deep Learning

    • Applications to problems: real-world problems, and solving them with AI, Natural language processing

    • Legal, societal, ethical and professional implications of using AI, including cognitive bias in AI solutions and the implications for equality.

    This module is assessed by a presentation and a project report.


  • Research and Application in Artificial Intelligence and Data Science

    This module offers options in how Artificial Intelligence and Data Science are applied to
    real-world contexts. By the end of the module, you will have formulated your own plans and literature reviews for your final MSc project. The module contains two themes that are strongly inter-related to each other.

    Theme 1 – Options

    You will be offered a selection of tailored studies in Artificial Intelligence. These options will comprise:

    Option 1 – Sustainability
    Option 2 – AI in Healthcare
    Option 3 – Social Responsibility
    Option 4 – The Creative Industries
    Option 5 – The Natural Environment

    Each of these options represents a specialist application of Artificial Intelligence and Data Science into a particular area. This will enable you to select and investigate applied aspects of AI and Data Science taught by specialists in this area and to consider projects in these areas, which is related to Theme 2.

    Please note that not all of these options will necessarily run in every year and will be dependent on demand.

    Theme 2: Research Proposal Development

    In tandem with the first theme, you will develop with guidance your own research proposal to tackle a genuine research project. This will prepare you for the MSc research project and dissertation in the final trimester. You will draw from the experiences in the options to identify questions and limitations associated with your proposed research.


  • Artificial Intelligence and Data Science Research Project

    This module is the capstone of the MSc, drawing together the skills and knowledge built up through the programme and allowing you to demonstrate your competence in using AI and/or data science techniques.

    This module aims to develop your ability to:

    • Plan and work independently on a complex research-based problem in artificial intelligence and/or data science.

    • Report on the aims, methods and outcomes of a scientific investigation.

    Each research project will be particular to the individual concerned. The actual work carried out will depend on the topic but may include experimental planning and organisation of equipment and/or services (e.g., VIPER), computer programming in artificial intelligence and/or data science, data acquisition and analysis, study of related literature and critical evaluation of the outputs.


Where you'll study

The location below may not be the exact location of all modules on your timetable. The buildings you'll be taught in can vary each year and depend on the modules you study.

Click to view on Google Maps
Hull Campus

Click to view directions on Google Maps

Fees and funding

  • Home £11,550 (2023)
    £13,000 (2024)

UK students can take out a Masters Loan to help with tuition fees and living costs. For 2023 entry, they provide up to £12,167 for full-time and part-time taught and research Masters courses in all subject areas. Find out more about Postgraduate Loans.

  • International£18,000/year (2024 entry)

International applicants may need to pay a tuition fee deposit before the start of the course. Visit our tuition fee deposit page for more information.

On courses where a part-time study option is available, fees are charged pro-rata to the full-time fee, according to the number of credits being studied.

Artificial Intelligence and Data Science Bursaries

The University of Hull has been awarded Government funding to offer a limited number of bursaries, worth £10,000 each, to support widening participation students.

Find out more.

Graduate PGT Scholarship

The University of Hull is pleased to offer graduates progressing from undergraduate to postgraduate taught study a £1,000 scholarship towards the cost of their tuition fees.

Find out if you’re eligible by visiting the University of Hull Graduate PGT Scholarship page.

Scholarships and Bursaries

The University offers a range of scholarships to help you with your studies.

For more information, please visit the Scholarships and Bursaries page.

Learn intensively one day a week, 9am to 6pm, on our campus. And study under experts across computer science, physics and mathematics.

Did you know Hull is the UK’s most affordable city?* Plus, we’re only 2.5 hours from London by direct train.

Get exclusive access to our brand-new £4.5 million DAIM building, as well as VIPER: one of the most powerful supercomputers in Higher Education.

Entry requirements

  • A minimum 2.1 undergraduate honours degree
  • Previously studied a course or module in mathematics (pure or applied), statistics, computing, or data analysis
  • Personal statement outlining the above, plus your eligibility for our £10,000 bursary if you’re applying for this

If you’re an undergraduate student at Hull…

You’re guaranteed a fast-track route to this postgraduate degree, as long as you meet the entry requirements (excludes Social Work). 

In order to ensure our students have a rich learning and student experience, most of our programmes have a mix of domestic and international students. We reserve the right to close applications early to either group, if application volumes suggest that this blend cannot be achieved. In addition, existing undergraduate students at the University of Hull have a guaranteed ‘Fast Track’ route to any postgraduate programme, subject to meeting the entry criteria (excluding Social Work).

Future prospects

You can go on to work as a data scientist in a wide range of industries. Our recent graduates have joined big names such as Amazon and Scottish Power. Or you can progress to further study in a broad range of disciplines.

Nationally, there’s a shortage of qualified data practitioners to meet the growing needs of employers. So you’ll be in high demand when you graduate.

International students

If you require a student visa to study or if your first language is not English you will be required to provide acceptable evidence of your English language proficiency level.

This course requires academic IELTS 6.5 overall, with no less than 6.0 in each skill. See other English language proficiency qualifications accepted by this University.

If your English currently does not reach the University's required standard for this programme, you may be interested in one of our English language courses.

Visit your country page to find out more about our entry requirements.

All applicants to supply a personal statement to display evidence of Mathematics, statistics and/or programming competencies, and their practical applications either in a professional or academic setting. This is required to evaluate the applicants suitability for the course.


numbeo.com Europe Cost of Living Index. Correct as of November 2022.