From boardrooms to supply chains, AI is rewriting the rules. Step up and lead the change.
AI is transforming the way organisations operate: from fraud detection in finance and predictive maintenance in manufacturing, to personalised shopping, smarter transport systems and data-driven policymaking.
Businesses everywhere need graduates who can understand the technology and turn it into real strategic advantage. The demand has never been greater.
About this course
Step into the future of business with the MSc AI for Business. This programme is designed for ambitious professionals and graduates ready to harness the power of AI and data science to drive real-world impact. You’ll gain a rare combination of cutting-edge technical skills and strategic business insight, learning how to apply AI across marketing, sales, finance, operations and customer analytics.
Delivered through our state-of-the-art Centre of Excellence for AI, Data Science and Modelling (DAIM), you’ll master programming, machine learning, big data, predictive analytics, recommendation engines, customer segmentation and time series analysis. You’ll also explore the ethical, legal and sustainability challenges of AI in business, preparing you to make responsible, informed decisions that shape the future.
This course is accessible to students from a wide range of backgrounds, including those without prior computational experience. Through a research project – independently, with academic staff, or in collaboration with industry – you’ll tackle real business challenges and turn data into actionable solutions.
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.
Filters
Programming for AI and Data Science
Learn the fundamentals of Python coding so you can progress onto the rest of the course.
Assessment: Portfolio of work
compulsory
20 credits
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: Basic mathematical concepts; 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; Identifying outliers; Regression models
- Applications: Real-world data applications, including examples
This module is assessed by a presentation and project report.
compulsory
20 credits
Understanding Artificial Intelligence
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 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
AI for Marketing and Sales
Deepen your AI and programming skillset and learn about common marketing applications, including
- Chatbots and conversational AI for customer engagement
- Dynamic pricing and predictive analytics for sales forecasting
- Customer segmentation
- Recommendation engines
- Sentiment analysis and natural language processing
compulsory
20 credits
Big Data for Business
Delve deeply into major components of using Big Data for business, including
- Introduction to Big Data (velocity, veracity, volume, value, variety)
- Exploratory and casual analytics
- Business data storage platforms
- Data mining and web scraping
- Applications of Big Data in business
- Time series analysis for business
compulsory
20 credits
Research Project
Put what you have learnt into practice by solving a real-world problem in research or industry. Conduct a novel research project under the supervision of a member of staff. Some students may also have the opportunity to work on a project from one of our industry partners.
compulsory
60 credits
Research and Application in Artificial Intelligence and Data Science
The module contains two themes that are strongly interrelated to each other:
The first theme offers options to study how AI and Data Science apply to real-world contexts. Options could include sustainability, healthcare, social responsibility, the creative industries, and the natural environment.
Alongside the first theme, you’ll develop your own research proposal to tackle a genuine research project. You’ll draw from the experiences in the options to identify questions and limitations associated with your proposed research. This will prepare you for your dissertation in Trimester 3.
compulsory
20 credits
Our academics
You’ll be taught in DAIM – our centre of excellence for data and AI, bringing together expertise from across the University.
Our academics combine strengths in computer science, AI and machine learning with business management, finance, marketing, ethics and data science. This blend means you’ll learn both the technical foundations of AI and how to apply them to real business challenges.
Julius Mboli
Lecturer, Centre of Excellence for Data Science, Artificial Intelligence, and Modelling (DAIM) – Business
Entry Requirements
What do I need?
When it comes to applying for this Postgraduate Taught degree, you'll need an Undergraduate degree (or equivalent). For this course, you'll need a 2:2 from a relevant bachelor's degree.
The programme is designed for graduates who have a studied a subject that is relevant to this course.
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.
Typical offer
2:2 in a relevant subject area
Your degree should have strong numerical content.
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.
International Scholarships and Bursaries
We offer a range of scholarships and bursaries for international students.
Find out more and see if you're eligible for our International Scholarships and Bursaries.
Artificial Intelligence Facilities
Future prospects
AI is transforming every sector, and businesses need graduates who can bridge the gap between technical AI development and strategic decision-making. That’s where this degree comes in.
You’ll learn to apply AI and data science to real-world business challenges — from fraud detection in finance and recommendation systems in retail, to revolutionising marketing and sales through smarter customer engagement and forecasting, optimising supply chains in manufacturing, and supporting data-driven policymaking in the public sector.
Graduates will be prepared for careers as AI consultants, data scientists, product managers, business intelligence analysts, customer insight specialists and more.
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.
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.
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All modules on this course page are subject to availability and this list may change at any time.