Course Overview
Are you ready to launch or accelerate your career in data science and AI? The demand for qualified data scientists far exceeds the current supply, and the industry faces a significant global skills gap. Our online MSc Data Science programme is designed to bridge this gap by providing you with the relevant practical skills and expertise needed to excel in data-related roles, giving you a pathway to establishing a fulfilling and potentially lucrative career.
What you'll learn
Our data science degree covers everything from fundamental mathematical concepts to advanced topics like artificial intelligence, machine learning, deep learning, and cloud computing. You'll master essential tools and programming languages such as Python, in addition to gaining proficiency in software tools like Jupyter Notebooks and Tableau.
You’ll also tackle real-world scenarios through our programme's individual modules. Whether you're exploring the ethical and legal constraints of data science or delving into the intricacies of machine learning and deep learning, you'll be immersed in practical applications. Our "Learn by Doing" philosophy ensures you can apply your knowledge to make meaningful business decisions using real data sets.
Course Modules
- Programming for Data Science (20 credits)
- Mathematics for Data Science (20 credits)
- Big Data and Cloud Computing (20 credits)
- Machine Learning (20 credits)
- Artificial Intelligence and Neural Networks (20 credits)
- Data Visualisation (20 credits)
- Advanced Computing Project (60 credits)
Your MSc Data Science journey culminates in the Data Science Research Project, where you’ll solve real-world data science issues through research, design, and implementation. With guidance from a supervisor in your chosen area, you'll emerge not only with a degree but also equipped with practical, industry-ready knowledge to showcase to prospective employers.
Career Pathways: Upon completing your degree, you can enter diverse career paths, including:
- Data Analyst: Dive into the world of data analysis, where you'll explore data sets, derive insights, and support data-driven decision-making.
- Machine Learning Engineer: Take on roles that involve building and deploying machine learning models to solve complex problems.
- Artificial Intelligence Specialist: Lead projects focused on creating AI-powered solutions, from chatbots to autonomous vehicles.
- Data Scientist: Utilise your expertise to uncover hidden patterns, trends, and insights, driving business strategies and innovation.
Standard entry requirements:
- A 2.2 Honours degree in a numerate subject where many of the modules were mathematics-based. Examples include, but are not limited to maths, finance, computing, science, and engineering.
- Or an equivalent 2.2 Honours degree with 18 months of relevant computing work experience.
Typical non-standard entry requirements:
- A minimum of 3 years of relevant work experience with reference and evidence.
- Your work experience should be in a data-based role, for example, finance, engineering, science, data analysis, etc. You will need to have worked with maths and/or data analysis in your current role to be eligible.
MSc Data Science at Arden University is eligible for Student Finance England funding: a tuition fee loan of up to £9,535 per year paid directly to the university, plus a maintenance loan of up to £13,762 per year for your living costs. There is no upper age limit — mature students apply through exactly the same process. Repayments only start once you earn over £25,000 a year.
Explore more funded Computing courses .
MSc Data Science is offered by Arden University in partnership with ARDEN . Students can choose flexible class schedules such as Online, allowing them to balance education with other commitments. The programme is offered in Part time study mode. It supports academic pathways at Masters level, and is available across key study locations including Online. Direct Google Maps links are provided for each location.
Available Campuses for MSc Data Science
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Prefer to study from home?
If an on-campus location doesn't work for you, this course also offers an online study option — so you can still progress with a flexible learning route.
Entry Requirements for Arden University (Postgraduate)
These entry requirements apply to Arden University postgraduate courses (for example MSc, MBA and postgraduate certificates). All applicants must provide supporting evidence to enrol.
Standard entry
- A UK Honours Degree at a minimum of second class (2.2) or equivalent
Non-standard / experience routes
- If you are unable to provide academic qualification, application may still be considered based on at least 5 years of work experience, ideally within the relevant discipline.
Programme-specific notes
For program specifics requirements, please see the relevant course's information.
Note: Postgraduate applicants normally pay a holding fee (around £170–£250). Confirm the current amount with admissions before you pay.
English Language Requirements for Arden University
Arden University needs evidence that your English is at the right level for the course. You can meet this through recent study in English or an accepted English test.
Qualifications studied in English
- 45 credits at Level 2 or 3, or
- 90 credits at Level 4, 5 or 6, or
- 60 credits at Level 7 or 8, or
- GCSE English Language at grade C/4 or above
These normally need to have been completed within the last 5 years.
Accepted English tests (usually valid for 2 years)
Duolingo
- Undergraduate: overall 105 (Literacy 95, Conversation 85, Comprehension 105, Production 75)
- Postgraduate: overall 120 (Literacy 105, Conversation 95, Comprehension 115, Production 85)
IELTS
- Undergraduate: overall 6.0 (no less than 5.5 in each element)
- Postgraduate: overall 6.5 (no less than 6.0 in each element)
Other accepted options include TOEFL, Pearson PTE, and Arden University’s Password English Proficiency online invigilated test. Confirm which option fits your situation with your AF Education adviser before you book a test.
Interview Process
Arden University interviews are held online on Microsoft Teams. They are a short conversation about your course choice and how you meet the entry route — not a formal exam.
Before the interview
- Install Microsoft Teams on the laptop, desktop or phone you will use.
- Join 5 minutes early using the link in your calendar invite. Arriving more than 5 minutes late usually means the interview is cancelled and needs rebooking.
- Check camera and microphone work before you join.
- Re-read your personal statement — you may be asked about what you wrote.
- Know your entry route: academic qualifications or work-experience (non-standard) entry.
- Know your course: the exact course title, why you want it, and whether you are applying for blended learning or distance learning.
- Prepare a couple of questions about the course, timetable or support before you enrol.
During the interview
- Take a moment to listen to each question before you answer.
- Answer clearly and honestly — the interviewer is checking fit and readiness, not trying to catch you out.
- Ask anything you are unsure about. It is better to clarify now than after you enrol.
After the interview
- AF Education will contact you with the outcome.
- If your documents are complete, your application can move to Arden admissions.
- If anything is still missing, send it to your AF Education adviser as soon as you can so the application can progress.
Who it's for
MSc Data Science at Arden University is a practical option for mature students, career changers, and anyone returning to education who wants a clear, funded route into university study.
There is no upper age limit for Student Finance England-supported study in England. If you are exploring a return to learning, our advisors can help you check fit before you apply.
Study location & mode
This course is listed with Arden University with an online study option .
- Study mode: Part time
- Class schedule: Online
Exact campus availability can vary by intake — use the campus list above and speak to an advisor if you need a specific location or timetable.
How this course is funded
Eligible students in England may be able to fund tuition and living costs through Student Finance England. As general guidance, that can include a tuition fee loan paid to the university and a maintenance loan for living costs. Repayments normally start only once you earn over the published repayment threshold.
This is general information, not a personal funding decision. Final eligibility, amounts, and repayment terms are confirmed when you apply for student finance — AF Education does not guarantee funding approval.
How AF Education helps
AF Education support is 100% free for students. We help you check eligibility, choose a suitable course and campus, prepare documents, and submit your application — with clear next steps for Student Finance England where relevant.
Register your interest
Register your interest in under 2 minutes. 100% free — we never charge you anything. A dedicated advisor will contact you to check eligibility and guide you through enrolment for MSc Data Science.
Ready to Start Your Funded Degree?
Register your interest in under 2 minutes. A dedicated student advisor will contact you to check eligibility, explain tuition and maintenance funding, and guide you through every step to enrolment.
- 100% Free Guidance
- Tuition & Maintenance Support
- Dedicated Advisor
- 01 Register your interest
- 02 Advisor calls you back
- 03 Apply & enrol with support
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