MSc Data Science

Why study this course?

• Taught by expert academics with extensive professional experience in data science, computing, and artificial intelligence. 
• Opportunities to earn additional industry-recognised certifications through Microsoft Azure, AWS Academy, and Cisco Network Academy. 
• Flexible learning options, including online and blended study modes, allowing students to balance study with other commitments. 
• Career-focused curriculum designed to meet current industry demands and bridge the global data science skills gap. 
• Access to Arden University’s Digital Backpack, providing essential digital tools, resources, and careers support.

Entry requirements

Academic Route

Minimum Age: 18 years

Applicants must provide evidence of their highest academic qualification, which may include:

• Level 3 Qualifications (A Levels, NVQ Level 3, Diploma, Certificate, or Access to Higher Education Diploma)
• International Baccalaureate
• High School Level Qualifications
• Level 2 Qualifications or equivalent (for example, GCSEs, NVQ Level 2, Diploma, or Certificate)

Work Route

Minimum Age: 21 years

Applicants who do not meet formal academic entry criteria may apply through the Work Route. This route recognises relevant professional experience in the field, or related industries as an alternative pathway into higher education. Some exceptions may apply for applicants with professional experience in other fields. This entry route ensures that motivated and experienced candidates can progress academically and professionally.

English Language Proficiency

If English is not the first language, applicants must complete an approved free English language test that assesses reading, writing, speaking, and listening skills. Equivalent qualifications may also be accepted.

Interview

All applicants are required to attend an interview with a member of the admissions team as part of the selection process.

Assessments

There are various assessment methods employed during this course. Some of these are:

• Practical portfolio submissions using industry tools. 
• Research projects and analytical reports. 
• Presentations and data visualisation tasks. 
• The final Data Science Research Project, which involves solving a real-world data problem through independent research, design, and implementation.

Modules

Study & Career Progression

Graduates of the MSc Data Science programme are well prepared for careers in both technical and strategic roles within a wide range of industries. The practical and analytical skills developed throughout the course open opportunities across the public and private sectors.

Career pathways include:

• Data Scientist 
• Machine Learning Engineer 
• Artificial Intelligence Specialist 
• Data Analyst 
• Business Intelligence Consultant 
• Research and Development Officer 

Graduates may also progress to doctoral research or leadership roles in data-driven organisations, contributing to innovation, automation, and strategic decision-making in the digital age.

Student Fee's & Finance

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.

• 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.