This course is currently awaiting final validation. Applications will open once this has happened. Check back regularly for further updates.
AI is changing how economies work - and employers need economists who can turn data into confident, evidence-based decisions. This MSc gives you the practical skills to do exactly that, fast.
As AI reshapes the way organisations analyse markets, forecast trends and make policy decisions, economists with strong data and digital skills are in growing demand. This Masters equips you to analyse real-world economic behaviour and transform complex data into clear, actionable insight.
Switch careers
with this Masters conversion
Work while you study
with intensive teaching
State of the art facilities
in our £4.5 million DAIM centre
Graduate
at the forefront of data science
Home to Viper
One of the most powerful supercomputers in England
About this course
You’ll work hands-on with the technologies shaping the future of business and public policy, including machine learning, data analytics and generative AI. From consumer behaviour and inflation to growth and government policy, you’ll learn how to apply advanced analytical tools to real economic challenges.
The World Economic Forum identifies analytical thinking and AI literacy as two of the most important skills for the future workforce. This course develops both - combining economic expertise with technical capability and practical problem-solving.
Designed for graduates from economics, STEM and other quantitative disciplines, the programme offers a fast-track route into a high-demand field. If you’re new to coding, you’ll build confidence quickly through supportive, hands-on Python workshops - including our popular welcome-week “cup of tea” coding session.
Teaching is practical, interactive and industry-focused. Through computer-based workshops, active learning and authentic assessments, you’ll develop the skills employers value most - analysing data, writing reports, building code and communicating insight effectively.
You’ll study in our £4.5 million Centre of Excellence for Data Science, Artificial Intelligence and Modelling (DAIM), purpose-built for high-performance computing, collaboration and innovation.
Graduate from the University of Hull with the technical skills, economic insight and digital fluency sought by employers across government, finance, consulting, technology and international organisations.
Artificial Intelligence and Data Science
2 mins
Module options
For a full Masters degree, you'll study 180 credits over the duration of your course. Some programmes offer a Postgraduate Diploma (PGDip) qualification or a Postgraduate Certificate (PGCert) qualification. For a PGDip, you'll study 120 credits, and for a PGCert, you'll study 60 credits.
No filters selected
Introduction to Programming
Learn the fundamentals of Python coding so you can progress onto the rest of the course.
This module is assessed with programming coursework (80% of the final mark) and an open-book computer-based examination (20% of the final mark).
compulsory
20 credits
Understanding Artificial Intelligence
This module offers an introduction to the fundamental concepts in Artificial Intelligence, and their application. You will study topics such as:
- 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 learning; Regression; Classification; Clustering; Artificial Neural Networks; Convolutional Neural Networks; Keras; Tensorflow
- Implications for Society: Legalities; Ethics and professional implications; Social consequences
This module is assessed by a portfolio of work, in the form of a programmed code and a corresponding technical report.
compulsory
20 credits
Applied Artificial Intelligence
The module will build on the concepts introduced in the first AI module and prepare you for your dissertation. Topics include classification revisited, deep learning, applications to problems, language models, computer vision and ChatGPT.
Assessment: Presentation and project report
compulsory
20 credits
Research and Application in Artificial Intelligence and Data Science
This module teaches you the necessary research skills to undertake project-based work in AI and data science with a scientific approach. You will also explore real-world applications of AI and data science, for example in healthcare, the environment, social responsibility, and engineering.
The specific topics may vary, but the DAIM team will aim to present content that reflects current and relevant developments in this fast-evolving field.
Assessment will be a mixture of coursework, a group presentation and a computer-based exam.
compulsory
20 credits
Artificial Intelligence and Data Science Research Project
Plan and work independently on your own complex research-based problem. And report on the aims, methods and outcomes of your scientific investigation.
compulsory
60 credits
AI and Data Science Applications in Microeconomics
You will develop an understanding of microeconomic theory and analysis with efficient application of data science and AI tools, focusing on optimisation by consumers, producers and policymakers in a competitive market economy.
You will examine both private decisions made by consumers and firms and public decisions made by governments and others on behalf of society, while also exploring the impact of incomplete information on these decisions.Assessment will include a group presentation and an individual case study paper on a specific topic in microeconomics.
compulsory
20 credits
Macroeconomic Modelling with AI and Data Science
You will develop an understanding of theories of growth and business cycles under classical, Keynesian, Real Business Cycle, and Neo-Keynesian frameworks with micro-foundations. Their applications, complemented by data science and AI tools, focus on the determination and forecasting of major macroeconomic variables using time series data and the use of those results for macroeconomic policy analysis.
Assessment includes programming, calibration, estimation and implementation of a macroeconomic model for an economy in a real-world situation (50%) and reporting of those findings and recommendations for policy decisions (50%).
compulsory
20 credits
Our academics
You’ll be taught in DAIM – a centre of excellence created for this course, drawing on expertise from across the whole University.
Our academics’ broad specialisms include computer science, machine learning, AI, astrophysics, mathematics earth sciences, geospatial, music, engineering, ethics and medicine.
Contributions to teaching and supervision will be made by Economists in the Business School.
Dr Daniel Farrow
Lecturer
Daniel Farrow has over 50 co-authored publications with almost 4700 citations combined. He is Director of Education in the Centre of Excellence for Data Science, AI and Modelling (DAIM).
Raymond Swaray
Senior Lecturer (Associate Professor) in Economics
Raymond specialises in applied international macroeconomics and finance with a particular interest in commodity markets, energy, agricultural and applied econometrics. He is the module leader for Macroeconomic Modelling with AI and Data Science.
Entry Requirements
What do I need?
When it comes to applying for this Postgraduate Taught degree, you'll need an Undergraduate degree (or equivalent).
Applicants will require a 2:2 Undergraduate honours degree in any subject that includes a numerical component (i.e., statistical analysis, or formal mathematics, or programming in any given language), or equivalent industrial experience.
The programme is designed for graduates from any discipline.
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.
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.
Fees & Funding
How much is it?
Scholarships
We offer a number of awards, bursaries and scholarships for eligible students. They’re awarded for a variety of reasons including academic achievement and/or to help those on lower incomes.
Scholarships and bursaries are separate to student loans. And the best bit is, you don’t pay a penny back.
Alumni Postgraduate Scholarship
University of Hull undergraduates progressing to a taught masters course may receive a 20% discount on the cost of their tuition fees.
Find out if you’re eligible by visiting the University of Hull Alumni Postgraduate Scholarship page.
See more Scholarships
We offer a range of scholarships and awards to students at the university to help with their financial load.
To view all of our scholarships and determine whether you're eligible, please visit our Scholarships and Awards page.
Artificial Intelligence Facilities
Future prospects
Data science and AI skills are in growing demand across government, finance, consulting, technology and international organisations. Employers increasingly need graduates who can combine technical expertise with economic insight, analytical thinking and strong communication skills.
This MSc prepares you for roles including economist, data analyst, researcher, AI consultant, business intelligence analyst and policy adviser across the public and private sectors, in both national and international organisations. You’ll graduate with practical experience in data analysis, machine learning, generative AI and evidence-based decision-making.
The course also provides a strong foundation for further academic study at PhD level in economics, data science and artificial intelligence.
Take your career to the next level
Like what you’ve seen? Then it’s time to apply.
Make your application online now, and our admissions team will get back to you as soon as possible to make you an offer.
This course is currently awaiting final validation. Applications will open once this has happened. Check back regularly for further updates.
Not ready to apply yet?
We regularly deliver virtual and on-campus events to help you discover your perfect postgraduate course, whether it’s a subject you already love or something completely different. Our events are an opportunity for you to chat to tutors and current students and find out about the career options a postgraduate degree could lead to.
You may also be interested in...
MSc Artificial Intelligence and Data Science
Postgraduate Taught
Discover and develop key competencies in areas such as machine learning and big data on this MSc in Artificial Intelligence & Data Science.
MSc Artificial Intelligence for Business
Postgraduate Taught
Develop cutting-edge AI and data skills with a focus on business applications on this MSc AI for Business. Apply now.
MSc Business Analytics and Artificial Intelligence
Postgraduate Taught
Become a thriving professional in today's data driven world on this MSc in Business Analytics and Artificial Intelligence. Apply now.
MSc Artificial Intelligence for Healthcare
Postgraduate Taught
Develop skills in machine learning and data for healthcare on this MSc in Artificial Intelligence for Healthcare at the University of Hull. Apply now.
MSc Artificial Intelligence for Engineering
Postgraduate Taught
Develop key competencies in machine learning and data tailored to Engineering on this MSc at the University of Hull. Apply now.
All modules on this course page are subject to availability and this list may change at any time.