Study Computer Science - Big Data and Artificial Intelligence at SRH University, Germany

Computer Science - Big Data and Artificial Intelligence

Master of Science at SRH University

Programme details
Degree:	Master of Science (MSc)
Disciplines:	Data Science & Big Data Artificial Intelligence
Study modes:	full-time
Delivery modes:	on-campus
Campus locations:	Berlin (Germany) Leipzig (Germany)
University website:	Computer Science - Big Data and Artificial Intelligence
Annual tuition (EEA)	ca. 81,300 HKD University currency: 9,000 EUR
Annual tuition (non-EEA)	ca. 98,400 HKD University currency: 10,900 EUR This applies to citizens of Hong Kong (change)

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Description:

This Master's programme in Computer Science - Big Data and Artificial Intelligence provides a computer science education that includes classic modules such as software development and programming yet teaches specialised knowledge regarding Big Data and Artificial Intelligence.

You will get to know the latest big data technologies and learn how to implement AI and machine learning tools in the business environment. In addition to technological expertise you get to deepen your analytical, business and soft skills in various projects and internships.

Become a Data Scientist, AI Product Manager & more:

During your studies you get to develop your intercultural, managerial and communication skills with practical projects. Due to your interdisciplinary IT and business education you will become a sought-after expert in the current and future job market.

Choose from the following career paths:

Positions in business analytics
Management positions in marketing and strategic management
IT Manager
IT Consultant

Your modules:

In the first two semesters of the M.Sc. Computer Science - Big Data and Artificial Intelligence programme, you will acquire in-depth knowledge in areas such as software development, machine learning, data analysis and artificial intelligence.

You will learn how to analyse complex data, apply machine learning algorithms and develop cloud solutions.

The third semester offers you the opportunity to apply your knowledge in an internship or research project. In the fourth semester, you will dedicate yourself to scientific work, carry out a Master's project and complete your studies with the Master's thesis and its defence.