Arden Study Centre, Berlin

MSc Data Science

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 program 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.

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 program'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.

Who is this programme for?

This course caters to a diverse range of individuals seeking to deepen their expertise in this rapidly evolving field. It’s particularly suitable for those with undergraduate degrees in computing or technology/data-related sciences, offering a platform for further specialisation and skill refinement. Professionals with work experience in computing, data science, AI, and related areas can benefit from this programme to advance their careers and stay competitive in the industry.

Ultimately, you'll gain genuine insight into how data science operates, from data gathering and processing to analysis for operational and strategic purposes -- developing a strong understanding of the ethical and legal considerations that shape the role of data science professionals.

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)
• Research Project (60 credits)

Why Arden?

• Arden University is regulated by the Quality Assurance Agency for England (QAA) and the UK government
• 96% of Arden University graduates are in employment 6 months after graduation
• Taught 100% in English
• Intensive, engaging and face-to-face teaching by industry experts
• Industry relevant, 21st-century application
• International student cohort with over 40 nationalities represented
• Payment options and early-bird discounts available
• Perfect central location in Berlin, close to key corporate players

Why Germany?

• Germany has one of the best employment rates in Europe, at 91%*
• 4th Best Graduate starting salary at £40,650 in Europe, with a growing economy**
• Germany is the most popular European country for international students, recognised for its high-quality education***
• Berlin has been named the start-up capital of Europe
• Berlin is the largest city in the EU with a thriving business scene, offering a range of job opportunities to young professionals and graduatesGermany has a rich history in culture and arts, offering students a chance to explore this whilst experiencing world-class education from a UK-recognised institution

*Times Higher Education

**I Am Expat

***According to statistics and data from the ICEF monitor

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.
• 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.

Standard English language requirements

English Language proficiency test equivalent to IELTS 6.0 with a minimum of 5.5 in each component or evidence you have previously studied in English.