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Data Science MSc

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.

Note - Tuition fee is estimated.
For More Information Please Contact To Our PSA Counselor.

Campus Information

Berlin

You’ll be studying with us in the heart of Berlin’s International Business District, close to the German headquarters of several major corporations including Sony, Deutsche Bahn, Daimler, the Axel Springer Media Group, and many more. It’s not all work in the business district though - there are also fantastic shopping centres and restaurants, and plenty of parks and green spaces for a quiet stroll or a place to study away from the hustle and bustle of city life.

Intakes

Application Processing Time in Days: 30

Minimum English Language Requirements

English Level Description	IELTS (1.0 -9.0)	TOEFL IBT (0-120)	TOEFL CBT (0-300)	PTE (10-90)
Expert	9	120	297-300	86-90
Very Good	8.5	115-119	280-293	83-86
Very Good	8	110-114	270-280	79-83
Good	7.5	102-109	253-267	73-79
Good	7	94-101	240-253	65-73
Competent	6.5	79-93	213-233	58-65
Competent	6	60-78	170-210	50-58
Modest	5.5	46-59	133-210	43-50
Modest	5	35-45	107-133	36-43
Limited	4	32-34	97-103	30-36
Extremely Limited	< 4	< 31	< 93	< 30

Admission Requirement / Eligibility Criteria

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 equivalent to IELTS 6.5, with no less than 6.0 in each component if English is not your first language or if you have not completed previous studies in English.

For More Information Please Contact To Our PSA Counselor.

Arden University

Berlin , Berlin ,Germany