MSc Data Science
About MSc Data Science
MSc Data Science at Arden University is designed to prepare you for high-impact roles in a data-centric world. You’ll gain expertise in artificial intelligence, neural networks, machine learning, big data, cloud computing, as well as the mathematical foundations underpinning these technologies.
Quick Facts
Course Overview
The programme champions a “Learn by Doing” ethos—through hands-on project work, you will build a professional portfolio using industry-standard tools like Python, Jupyter Notebooks, Tableau, and cloud platforms. Supported by vendor courses (e.g., Azure ML, AWS Academy, Cisco), you’ll apply learning directly in practical scenarios. Your learning journey culminates in an Advanced Computing Project where you’ll design and execute a real-world data science solution, equipping you with both technical competence and a tangible showcase of your capabilities.
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)
Entry Requirements
- A 2:2 Honours degree in a numerate subject (e.g., maths, computing, science, engineering), or equivalent
- Alternatively, a 2:2 Honours degree plus 18 months of relevant computing-related work experience
- Applicants with at least 3 years of relevant data-centric work experience may be considered on a case-by-case basis
- English proficiency: IELTS 6.5 overall (minimum 6.0 in each component), if not having completed prior learning in English
Careers
This course prepares you for flourishing in roles at the intersection of technology, analytics, and business. You will graduate with both a robust technical foundation and a portfolio that highlights practical, industry-ready capabilities.
Career Routes
Additional Information
The programme also offers pathways toward further professional development, certifications, or progression into PhD-level research in data science and AI.
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