MSc Applied AI and Business Analytics
Key Details
- Attendance
- Full Time
- Award
- Degree of Master of Science
- Course Length
- 1 year
- Course Start Date
- January 2026
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Why you should choose us
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UEA is ranked top 20 in the UK for Research QualityCourse Overview
Our cutting-edge MSc Applied AI and Business Analytics equips you to move beyond data interpretation, preparing you to drive strategy and influence business decisions.
You’ll learn to use advanced analytics and AI not only to answer questions but to identify the right questions, uncover market opportunities, and shape the future of business. You’ll gain the skills to spot trends, predict market shifts, and guide businesses with data-driven confidence, combining human insight, analytics, and AI to drive transformative change.
On this course, you’ll learn by doing. From day one, you’ll work on real-world data and AI projects, mastering advanced technologies while developing future-focused skills, navigating ethical challenges, and communicating powerful insights from data. This hands-on approach equips you to tackle complex problems and unlock your full potential. You’ll master the full data and AI process, from discovering valuable data to building intelligent models that uncover insights. Through live projects with our business partners, you’ll use real data to solve real problems—learning not just to make business cases, but to create evidence-based solutions that drive impact.
Our vibrant campus offers state-of-the-art facilities, whilst the city of Norwich serves as a thriving tech hub. We have strong partnerships with local and global businesses which provide excellent networking opportunities and real-world projects for you to engage with.
Our course equips you with the advanced analytics and AI skills that employers demand, while our business partnerships provide access to a highly valuable professional network, ensuring you'll graduate ready to excel in your future career.
Study and Modules
Structure
In the first semester, you’ll study research methods to prepare you for your future dissertation or industry sponsored project. You’ll learn about the key methods and techniques used in business analytics and AI. In addition, you’ll have options to develop expertise in digital business, cyber security, or the transformation of business with digital technologies.
In the second semester, you can choose to do a dissertation which allows you to demonstrate your academic ability by conducting research that contributes to the fast-changing field of business analytics and AI. Throughout your dissertation, you’ll develop your analytical skills and critical thinking.
You’ll also have the option of doing an industry sponsored project that offers applied business analytics and AI experience. If you choose this option, you’ll work with businesses to harness your theoretical knowledge in real-world scenarios, and you’ll acquire highly valuable work experience to help build a professional network and develop the skills necessary to excel in the workplace. You’ll also work directly with clients, understand their needs, and build business analytics and AI solutions to help change their business outcomes.
As an alternative to a dissertation or an industry sponsored project, you’ll also have the choice to deepen your operational and governance skills, highly sought after by employers. You’ll master the ethical and regulatory challenges of using data and learn project management methodologies to successfully lead complex analytics and AI-based projects from conception to delivery.
In the third semester, you'll advance from core analytics to strategic leadership of business analytics and AI-based projects. You’ll learn to master the entire business analytics and AI lifecycle, from formulating a high-level strategy to overseeing its successful implementation. You’ll explore how to build bespoke AI coding solutions for business, and learn how to combine AI with marketing,
Compulsory Modules
Optional A Modules
(Credits: 20)Optional B Modules
(Credits: 40)Whilst the University will make every effort to offer the modules listed, changes may sometimes be made arising from the annual monitoring, review and update of modules. Where this activity leads to significant (but not minor) changes to programmes and their constituent modules, the University will endeavour to consult with students and others. It is also possible that the University may not be able to offer a module for reasons outside of its control, such as the illness of a member of staff. In some cases optional modules can have limited places available and so you may be asked to make additional module choices in the event you do not gain a place on your first choice. Where this is the case, the University will inform students.
Teaching and Learning
You’ll learn through a variety of methods – including lectures, seminars, and hands-on business analytics and AI labs – always with a strong focus on applying your knowledge and skills to real-world business challenges. Just as in a professional setting, you’ll work both independently and in groups, building teamwork and leadership abilities. As your confidence grows, you’ll be encouraged to think more critically and analytically, tackling complex problems and assessing the strengths and limitations of established analytical techniques. Throughout the course, you’ll reflect on and justify your decisions, developing the professional mindset essential for future success.
Assessment
Assessment is primarily through coursework, demonstrations, presentations, and in-class tests. In many assignments, you’ll tackle real-world business problems for clients, building a portfolio of analytics work that showcases your skills. Each assignment includes a reflective element, helping you identify strengths and areas for improvement. You’ll also benefit from formative assessments—designed to test your knowledge and skills—before summative assessments, giving you the chance to refine and enhance your performance.
Employability
After the Course
Business analytics is used across every sector – public, private, and third – and within all major business functions. This course equips you with the knowledge, skills, and professional profile employers are seeking worldwide. By working with the latest technologies, you’ll build a portfolio that showcases your competencies, analytical ability, and innovative thinking, ensuring you stand out in a competitive global market.
Careers
Examples of careers that you could enter include:
- Business Analyst
- AI Strategist
- Business Intelligence Analyst
- Data Scientist
- Management Consultant
- Cyber Security Specialist
Discover more on our Careers webpages.
Entry Requirements
- This course is open to
UK and International fee-paying students. Choose UK or International above to see relevant information. The entry point is in January each year.
- Typical UK Entry Requirements
Degree classification
Bachelors degree - 2.2
Degree Subject
Any subject area.
Please note that if you have studied business before at undergraduate or postgraduate level, we recommend you check the modules carefully to make sure that this course is right for you.
- Admissions Policy
Our Admissions Policy applies to the admissions of all postgraduate applicants.
- This course is open to
UK and International fee-paying students. Choose UK or International above to see relevant information. The entry point is in January each year.
- Typical International Entry Requirements
Degree classification
UK Bachelors degree - 2.2
Degree Subject
Any subject area.
Please note that if you have studied business before at undergraduate or postgraduate level, we recommend you check the modules carefully to make sure that this course is right for you.
- English Foreign Language
Applications from students whose first language is not English are welcome. We require evidence of proficiency in English (including writing, speaking, listening and reading):
-
IELTS: 6.0 overall (minimum 6.0 in Writing and Speaking, and 5.5 in Reading and Listening)
We also accept a number of other English language tests. Review our English Language Equivalencies for a list of example qualifications that we may accept to meet this requirement.
Test dates should be within two years of the course start date.
If you do not meet the English language requirements for this course, INTO UEA offer a variety of English language programmes which are designed to help you develop the required English skills.
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- UEA International Study Centre
If you do not meet the academic requirements for this course, you may be able to study the International Pre-Masters programme offered by our partner INTO UEA. This programme guarantees progression to selected Master's degrees if students achieve the appropriate grade. For more details, please click here:
International Pre-Masters in Business, Economics and Social Sciences
- Admissions Policy
Our Admissions Policy applies to the admissions of all postgraduate applicants.
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Fees and Funding
Tuition fees for the Academic Year 2025/26 are:
-
UK Students: £13,800
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International Students: £24,300
We estimate living expenses at £1,136 per month.
Further Information on tuition fees can be found here.
Scholarships and Bursaries
The University of East Anglia offers a range of Scholarships; please click the link for eligibility, details of how to apply and closing dates.
Course Related Costs
Please see Additional Course Fees for details of course-related costs.
How to Apply
How to apply
Applications for Postgraduate Taught programmes at the University of East Anglia should be made directly to the University.
To apply please use our online application form.
Further information
If you would like to discuss your individual circumstances prior to applying, please do contact us:
Postgraduate Admissions Office
Tel: +44 (0)1603 591515
Email: admissions@uea.ac.uk
International candidates are also encouraged to access the International Students section of our website.