MBA in Data Science and AI, online from 10 months
A UK masters degree for working professionals. Study around your job, submit assignments instead of sitting exams, and graduate with a degree awarded by a UK university partner.
£10 to apply · Offer within 24 hours · Apply with qualifications or relevant work experience
Stanmore School of Business Limited — UK registered learning provider since 2017.
- Duration
- 12 months
- Credits
- 180
- Level
- FHEQ Level 7
- Assessment
- Assignment-based (no written exams)
- Start date
- Any time
- Fees from
- £7,700
Built for people who already work
The MBA in Data Science and AI is a UK master’s degree delivered 100% online by LEAP Education and awarded by a UK university partner with degree-awarding powers. The programme totals 180 credits at FHEQ Level 7 and is assessed entirely by assignment, with no written examinations.
Standard completion is 12 months. You can start at any time, study around full-time work and submit coursework online. Graduates progress to postgraduate study or senior management roles.
Global corporations are currently overhaving their leadership structures to prioritize executives who can operationalize artificial intelligence rather than just understand its theory. The market is flooded with data scientists who can build models, but there is a critical shortage of business leaders who can translate those technical capabilities into measurable revenue growth and strategic market advantage.
Graduates of this programme secure the authority to lead enterprise-wide digital transformation initiatives, moving beyond advisory roles to direct command of technology budgets and product roadmaps. You will possess the specific expertise to evaluate AI vendor contracts, mitigate algorithmic bias in hiring or lending decisions, and present data-driven strategies to boards that justify significant capital expenditure. This qualification equips you to step into C-suite positions such as Chief Data Officer or VP of Technology, where the primary metric is no longer just technical proficiency but tangible bottom-line impact.
Key facts
- Qualification:
- MBA in Data Science and AI
- Level:
- FHEQ Level 7
- Credits:
- 180
- Study mode:
- 100% online
- Duration:
- 12 months
- Assessment:
- Assignment-based (no written exams)
- Fees from:
- £7,700
- Entry requirements:
- A Bachelor's degree or Level 6 qualification, or equivalent; or relevant experience. Minimum age 18.
- Last verified:
- 5 September 2026 by Dr Namita Singh, Head of Academics
2 stages, one award
Each stage builds towards the final award. Complete every stage to graduate with 180 credits.
Postgraduate diploma
Core postgraduate modules assessed by assignment.
120 credits
Master’s top-up
Dissertation or capstone project leading to the master’s award.
60 credits → Graduation
What you'll study
Data Science for Business Decision Making
Convert raw data into strategic intelligence that directs high-level commercial decisions and optimizes operational performance.
Machine Learning and Predictive Analytics
Implement predictive models that anticipate market shifts and customer actions to secure competitive advantage and manage risk.
Artificial Intelligence Strategy
Formulate and lead enterprise AI initiatives that bridge technical potential with executive business goals for sustainable growth.
Big Data Management and Cloud Computing
Design robust cloud-based data architectures that ensure scalability, security, and uninterrupted global business operations.
Responsible AI and Data Ethics
Establish governance frameworks that align AI deployment with international regulations and ethical standards to protect brand integrity.
Business Intelligence and Visualisation
Transform complex analytics into clear visual stories that enable senior stakeholders to make fast, evidence-based decisions.
MBA Core: Leadership and Organisational Behaviour
Direct multicultural teams with adaptive leadership skills to drive performance and cohesion in global corporate structures.
MBA Core: Strategic Financial Management
Optimize capital allocation and financial planning to maximize shareholder value and ensure long-term organizational resilience.
MBA Core: Business Research Methods
Utilize advanced analytical techniques to diagnose business challenges and substantiate strategic recommendations with data-driven proof.
Every module is assessed by written assignments submitted online, with tutor feedback and sample assignments to guide you.
Two ways in
Qualifications
A Bachelor's degree or Level 6 qualification, or an international equivalent. Higher qualifications are also accepted.
Work experience
Candidates with 3+ years of senior management or leadership experience are encouraged to apply. Your practical knowledge counts.
Minimum age 18. International applicants welcome. Send us your certificates and we'll confirm eligibility within 24 hours.
Fully online
No campus visits. Study on any device, in any time zone.
Materials included
Study notes, sample assignments and resources from day one.
24/7 study assistant
Instant explanations and assignment guidance from our AI study assistant.
Tutor feedback
Qualified tutors mark assignments and give feedback by email and chat.
Where this can take you
A published source has not yet been matched to a salary figure for these roles.
Indicative UK salary information for related occupations. Figures reflect the referenced occupation and data source, not guaranteed earnings after completing this qualification.
Choose your pace
All plans are interest-free and include every module, study material and tutor support. A £10 enrolment fee applies.
| 10 monthsfast track | |
|---|---|
| Total fee | £7,700 |
| Apply |
* Programme fees shown include online learning, study materials and tutor support for the qualification. A separate £10 enrolment fee is payable when you submit your application. Interest-free instalment plans and a 5% discount for paying the full programme fee upfront are available where shown.
Need a different payment plan? Our admissions team can help.
Talk to an adviser on WhatsApp →Who awards your qualification
Your MBA in Data Science and AI is awarded by a UK university partner with degree-awarding powers; the awarding university is named in your offer letter. LEAP Education, a brand of Stanmore School of Business Limited, supports your admission, learning and tutoring.
Degree level
FHEQ Level 7 on the UK Framework for Higher Education Qualifications — the same level as a campus award.
Provider
Stanmore School of Business Limited · Company No. 10591140 · UKPRN 10085235. UK Register of Learning Providers
Start in three steps
- 01
Apply online
Complete the short form and pay the £10 enrolment fee. About five minutes.
- 02
Receive your offer
We confirm eligibility and email your start date and payment options.
- 03
Start learning
Pay your first instalment and get access to your modules.
Common questions
Is this a real UK degree?
Yes. On successful completion you receive a UK degree awarded by a UK university partner with degree-awarding powers. The awarding university is confirmed in your offer letter.
Can I study from outside the UK?
Yes. The programme is 100% online with no campus visits, so you can study from anywhere in the UK or internationally.
Are there any exams?
No. Every unit is assessed through written assignments submitted online. There are no written examinations.
What are the entry requirements?
Applicants should hold a Bachelor's degree or Level 6 qualification or an equivalent credential. Candidates with 3+ years of senior management or leadership experience are also encouraged to apply. Minimum age 18.
How long does it take and what does it cost?
You can choose 10 months (fast track, £7,700). Interest-free instalment plans are available on each option.
When can I start?
You can enrol at any time. Once your application is accepted and the first payment is made, you receive access to the learning platform and study materials.
Who operates LEAP Education?
LEAP Education is a brand of Stanmore School of Business Limited (Company No. 10591140, UKPRN 10085235), a UK learning provider.
Last reviewed 5 September 2026 by Dr Namita Singh, Head of Academics
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