Data Science
MSc
Available campuses
- Online
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Intake period: January, April, July, October
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Attendance: Self study
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Program type: Full time
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Duration: 2 years
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Tuition fee: £ 9.500/year
Modules
Module information is not available at the moment.
Entry Requirements
✅ Academic Qualifications:
You should have an Honours degree (or equivalent) in a relevant subject.
✅ English Proficiency and Admission Process
Applicants will need to attend an interview with a member of the admissions team.
If English is not your first language, you must complete an English language test that assesses speaking, listening, reading, and writing skills. We also accept a range of other English language qualifications.
Campus map location
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Intake period:
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Attendance:
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Program type: Full time
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Duration:
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Tuition fee: £ /year
Modules
Entry Requirements
Campus map location
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Intake period:
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Attendance:
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Program type: Full time
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Duration:
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Tuition fee: £ /year
Modules
Entry Requirements
Campus map location
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Intake period:
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Attendance:
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Program type: Full time
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Duration:
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Tuition fee: £ /year
Modules
Entry Requirements
Campus map location
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Intake period:
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Attendance:
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Program type: Full time
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Duration:
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Tuition fee: £ /year
Modules
Entry Requirements
Campus map location
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Intake period:
-
Attendance:
-
Program type: Full time
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Duration:
-
Tuition fee: £ /year
Modules
Entry Requirements
Campus map location
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Intake period:
-
Attendance:
-
Program type: Full time
-
Duration:
-
Tuition fee: £ /year
Modules
Entry Requirements
Campus map location
-
Intake period:
-
Attendance:
-
Program type: Full time
-
Duration:
-
Tuition fee: £ /year
Modules
Entry Requirements
Campus map location
-
Intake period:
-
Attendance:
-
Program type: Full time
-
Duration:
-
Tuition fee: £ /year
Modules
Entry Requirements
Campus map location
Course overview
As industries continue to lean on data for decision-making, this program gives you the skills to excel in a wide range of roles. You’ll get to grips with essential tools like Python, R and SQL, plus data visualization software, ensuring you can not only analyze but also present data in a meaningful way. The course is designed to prepare you for the kinds of challenges real businesses face day in and day out.
But it’s not just about the tech skills—this program also focuses on data ethics, communication and teamwork. After completing this MSc, you’ll be ready to take on senior roles, manage data projects, and lead innovation. In a field that’s constantly evolving, you’ll be equipped with the expertise to succeed and keep up with the rapid pace of change. Are you ready to turn data into your career’s next big breakthrough?
Why study this course?
- Full support by Atlantic London from start until graduation.
- 85% of students were satisfied overall with their course.
- 93% of students agreed staff were good at explaining things.
- 80% work or doing further study 15 months after the course.
Student reviews
Hear first-hand from our incredible community of students.
Assessments
Assessments list
- Data modeling assignments
- Research projects
- Case studies
- Group presentations
Fees & funding
Course fee per year: £9.500
- Financed by Student Finance England
The Tuition Fee of the course may vary depending on the institution you wish to study at, as well as your status in the UK. The course is available for UK/EU & International Students and eligible for Student Loans Company (SLC) funding to help cover the cost of your tuition fees and other expenses.
If you are an UK/EU citizen or living in the UK on an Indefinite stay, apart from the tuition fees, you could also receive support from the government via Student Loans Company to cover some living costs while studying.
Fees breakdown
- Tuition fee loans cover the full cost of your course and are paid directly to the course provider.
- Maintenance Loan pays for day-to-day living expenses like rent, bills, food and books. Unlike the fees loan, it's paid directly to your student bank account once a term and you can spend it on anything you like.
- Student Finance has to be paid back, however, you only make Student Loan repayments once you've left your course AND are earning enough. Repayments vary with your salary, and stop altogether if your income drops too low.
- Students can also apply for other types of special support grants, such as childcare grants or Disabled Students' Allowance if eligible.
- Moreover, almost all universities offer a selection of student bursaries. These are cash gifts you usually don't have to repay.
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Study & Career progression
Career progression examples
- Data Scientist
- Data Analyst
- Machine Learning Engineer
- Business Intelligence Analyst
- AI Specialist
- Data Engineering Consultant
- Data Architect
- Predictive Analytics Specialist
- Operations Research Analyst
- Data Visualization Specialist
- Database Administrator
Data Science
MSc
Course summary
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Arden University
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