Course overview
Advance your specialist knowledge and professional capability.
Develop practical data-science capability across Python, mathematics, cloud computing, machine learning, AI and visualisation.
Course overview
The course develops the mathematical and technical skills used in modern data roles, from programming and visualisation to machine learning, neural networks and cloud-scale data. Practical tools and an advanced project help students turn data into evidence and usable solutions.
Study options
The course is offered through weekday blended study at the listed UK campuses and through flexible online learning. The UK catalogue excludes the separately published Berlin route.
Professional focus
Teaching and assessment connect postgraduate theory with current professional practice, applied problem-solving and independent research.
Curriculum
Review the complete master's module structure.
01Master's modules
180 credits
180 credits
Master's modules
180 credits
- Programming for Data Science20 credits
- Mathematics for Data Science20 credits
- Big Data and Cloud Computing20 credits
- Machine Learning20 credits
- Artificial Intelligence and Neural Networks20 credits
- Data Visualisation20 credits
- Advanced Computing Project60 credits
Module availability and content may change as part of the provider’s ongoing academic review.
Assessment
Practical ways to show what you know.
Assessment uses applied reports, case studies, presentations, portfolios and project work, culminating in an independent postgraduate project or equivalent capstone assessment.
Entry requirements
Your route onto the course.
Academic and professional entry
- A 2:2 honours degree in a numerate subject with substantial mathematics content, such as mathematics, finance, computing, science or engineering.
- An equivalent 2:2 degree plus 18 months of relevant computing experience may be considered.
- Applicants without the specified degree may be considered with at least three years of relevant data-based professional experience.
English language
- IELTS 6.5 overall with no component below 6.0, TOEFL iBT 90, or an accepted equivalent.
- Previous study completed in English may be accepted with suitable evidence of the medium of instruction.
Fees & funding
Understand the full cost.
Arden states that quoted fees relate to the intake on which the student enrols, not the application date.
Promotional awards and offers are subject to Arden's terms and conditions and may change or expire.
Students who require a visa to study in the UK may be charged the fee associated with their home country.
Funding your study
Eligible students may be able to use postgraduate Student Finance funding. The exact loan amount and personal eligibility should be confirmed before enrolment.
What you’ll achieve
Skills for ideas that move forward.
Build practical experience with Python, Jupyter and Tableau.
Study machine learning, neural networks, big data and cloud computing.
Complete a 60-credit Advanced Computing Project.
Career opportunities
Where this course can take you.
Career outcomes depend on your experience, further training and the requirements of each role.
Career directions
- Data scientist
- Data analyst
- Machine-learning engineer
- Business intelligence
- AI specialist
- Data visualisation
Frequently asked questions
Course questions.
Can I study this course online?
Yes. Arden currently lists an online route for this course.
Is UK-campus study available?
Yes. Current UK locations are London and Manchester. Exact campus availability depends on the selected intake.
When can I start?
The current application options list September 2026, October 2026, November 2026, February 2027. Availability should be confirmed before application.
Who awards the degree?
The degree is awarded by Arden University.