The MSc Artificial Intelligence for Business at the University of Hull is a full-time 1 Year Postgraduate program in the field of Business & Management. Delivered at the University's Cottingham Road campus in Hull, United Kingdom, the course offers a balanced mix of academic study and practical experience.
Ideal for Bangladeshi students and other international applicants, this program provides high-quality education at a full-time competitive international tuition fee of £ 15,000 Starting each January, it is designed to equip students with essential skills for advanced study and professional growth.
The University of Hull offers modern facilities and a supportive environment, ensuring international students receive the guidance and resources needed for success. With a welcoming campus community and dedicated support services, Bangladeshi students can confidently plan their study abroad journey in the United Kingdom through this program.
Course Highlights
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.
Course Modules
- Programming for AI and Data Science
- Compulsory - 20 Credits
- Fundamentals of Data Science
- Compulsory - 20 Credits
- Understanding Artificial Intelligence
- Compulsory - 20 Credits
- AI for Marketing and Sales
- Compulsory - 20 Credits
- Big Data for Business
- Compulsory - 20 Credits
- Research and Application in Artificial Intelligence and Data Science
- Compulsory - 20 Credits
- Research Project
- Compulsory - 60 Credits
Learning Structure
You'll study 180 credits over the duration of your course and be taught in DAIM, our centre of excellence for data and AI, bringing together expertise from across the University.
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.
Entry Requirements
- A 4-year Honours degree (or equivalent) in a relevant discipline with CGPA 2.75 or 55% of marks (or above) from recognised institution.
English Language Requirements
Documentary Evidence List
- Academic transcripts (Bachelor degree)
- Degree certificate
- English test (IELTS/ TOEFL/ PTE/ Duolingo - UKVI accepted)
- Statement of Purpose (SOP)
- 2 Recommendation Letters (LORs)
- Updated CV/ Resume
- Research Proposal (for Research/ PhD)
- Work experience certificate(s) (if study gap)
- Passport copy
Study Gaps
For applicants with an academic or professional gap of up to 5 years, admission is generally considered acceptable. If the gap exceeds this period, applications may still be successful but will typically be assessed on a case-by-case basis.
To strengthen your profile, it is important to:
- Provide a clear explanation of how you spent the gap period (e.g., employment, further learning, personal responsibilities).
- Emphasize the skills and experiences you developed during this time that are relevant to the program.
- Demonstrate that your academic qualifications continue to meet the course entry requirements.
Disclaimer: The information provided on this page is sourced from the official university website. Please note that universities may update their course details, fees, entry requirements and any other related information at any time without prior notice. We recommend verifying the latest updates directly with the university.
Last reviewed on 10 September 2025.