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MSc Data Science and Artificial Intelligence
Middlesex University Dubai · Dubai Knowledge ParkEvaluate the Middlesex University Dubai MSc through its full 180-credit curriculum, entry requirements, 2026 tuition, study pattern, application steps and Dubai life.Published 16 September 2026Course facts, costs and fit
What you will actually learn
This is not a generic data degree. The 180-credit structure moves from machine learning and the applied data-science life cycle through data engineering, computer vision, generative AI and responsible practice, then asks you to prove the combination in a 60-credit individual project.
Check this against my profileApplication path
Build a complete decision for MSc Data Science and Artificial Intelligence at Middlesex University Dubai
- 01Prove the academic base
Map your degree, subjects and marks to the published 2:2-equivalent numerate requirement. Record relevant experience where your qualification is outside the standard route.
Transcript and experience review - 02Close the evidence gaps
Show Python preparation and valid English evidence. The page lists IELTS 6.5 with 6.0 in each component and PTE 59 with 59 in each component.
Evidence before optimism - 03Model the complete year
Place AED 76,491 tuition beside housing, transport, medical cover, visa-related costs, travel, setup and a family contingency.
Family investment - 04Confirm route and consent
Recheck the open intake, deadline, final fee and application route. Only then approve the minimum data package for submission.
No hidden transfer of your records
Programme anatomy
What MSc Data Science and Artificial Intelligence at Middlesex University Dubai asks of your profile and budget
AI, machine learning and the data life cycle
Build models and understand how data moves from a problem definition through preparation, analysis and communication.
- Machine Learning and AI Algorithms · 30 credits
- Applied Data Science Life Cycle · 15 credits
- Ethics, Privacy and Security in Data Science and AI · 15 credits
From data pipelines to generative AI
The technical middle joins engineering, visual and image data, and modern generative systems rather than treating AI as a single survey module.
- Data Visualisation, Computer Vision and Imaging · 30 credits
- Data Engineering · 15 credits
- Generative AI and Large Language Models · 15 credits
One-third of the award is your individual project
Use the project to connect a real problem, data, implementation choices, evaluation and responsible practice into evidence an employer or research supervisor can inspect.
- Individual Project · 60 credits
- Independent research or industry problem
- A deliberate portfolio and interview narrative
A numerate degree is the standard route
The university normally asks for a 2:2 honours degree or equivalent in engineering, computer science or another numerate discipline. Relevant-experience routes may be considered.
- Map degree equivalence and quantitative modules
- Show 20-40 hours of Python fundamentals
- Confirm English evidence and any waiver directly
Workshop-led, project-led and available part-time
The university describes practical workshops, self-directed study and project-based learning, with content embedded in workshops instead of formal lectures.
- One year full-time or two years part-time
- Evening classes designed around daytime commitments
- January shown for part-time; September for full- or part-time
Design the week, not just the campus choice
The official India information highlights visa support, an accommodation partner at Dubai International Academic City and a campus shuttle. Availability and personal visa conditions still need confirmation.
- Test housing-to-Knowledge-Park commute
- Keep study workload separate from work assumptions
- Price medical cover, transport and setup before deposit
Who this course is strongest for
A student with a numerate base who wants to connect machine learning, data systems and generative AI through practical work, and who can use the individual project to target a specific role.
- You want both modelling and data-engineering depth
- You can evidence Python readiness
- You have a project problem worth pursuing
Where to challenge the brochure
An AI title, Dubai setting and evening timetable can create strong attraction. The decision still depends on teaching fit, total family cost, work conditions and the quality of the project you can build.
- Ask how workshops are assessed
- Inspect facilities and project supervision
- Confirm timetable, attendance and open intake in writing
What your decision plan gives you
Your plan joins eligibility evidence, a complete first-year scenario, family questions, source freshness and consent in one reviewable record. Application support begins only after those choices are explicit.
- One evidence-backed shortlist
- One family-readable cost case
- One traceable application record without duplicate data requests
Course questions
What to verify before applying for MSc Data Science and Artificial Intelligence
What are the entry requirements for this MSc?
The official course page normally asks for a 2:2 honours degree or equivalent in engineering, computer science or another numerate discipline, plus 20-40 hours of Python fundamentals. Relevant-experience routes may be considered. A personal decision still requires transcript review.
What English score is shown?
The course page lists IELTS Academic 6.5 with 6.0 in every component and PTE Academic 59 with 59 in every component for applicants who must show English proficiency. Confirm accepted tests, recency and any country-specific waiver before applying.
How long is the programme?
The published structure is one year full-time or two years part-time. September is shown for full- or part-time study; January is shown for part-time study.
How much is tuition?
The university publishes AED 76,491 inclusive of VAT for September 2026 full-time study and AED 74,263 for January 2026. Fees can change; obtain the current written fee and mandatory extras before paying.
Can I work while studying?
The university promotes evening postgraduate classes as compatible with daytime commitments. That is a timetable statement, not permission or a job promise. Confirm visa conditions and protect enough time for workshops, self-study and the project.
What roles can this course support?
The curriculum can support planning toward data science, machine learning, data engineering, applied AI and technical analytics roles. The degree does not guarantee employment; project quality, prior experience, market conditions and work eligibility remain material.
Is this course definitely available through Higher-Study?
No public page can make that claim. Higher-Study confirms the live intake and application route for your profile before the course becomes application-ready.
What happens after I add it to my plan?
Your academic and English evidence is checked, the complete family investment is modelled, the current intake and route are confirmed, and you approve the exact data-sharing purpose before any application support.
Official evidenceRead the current university record
Make the attraction accountable