Course details
Credit Points: 60 ECTSBig Data is big news for businesses and societies across the globe. With your extensive mathematical and statistical knowledge and data expertise, you are already attractive to employers. However, a Master degree in Big Data Management could be exactly the thing to set you apart from the competition. With this degree, you will gain comprehensive understanding of big data and how to communicate your findings effectively. More importantly, you'll learn to manage projects, staff, and operations to be a valuable asset to any ;
In the IU Master of Management in Big Data Management, you'll learn how to prepare data, link data from different sources, and analyse data relationships. You'll get to know artificial intelligence methods for data analysis, including when and how to apply them, and examine societal impact and data protection issues. With a degree in Big Data Management, you'll detect and deliver essential data insights to boost the success of any company you work for while ensuring ethical practice.
What you will learn from us
The master programme in Big Data Management prepares you for a career in one of the most important areas in future corporate environments.
- You will learn how to pre-process data, how to associate data from different sources, and how to analyse their relationships.
- You will learn about artificial intelligence for data analysis.
- You will evaluate the utility of these methods in various corporate scenarios.
- You will critically look at solution providers and understand the ethical, social, and security implications that emerge from big data management.
- You will deepen your management expertise and improve your analytical skills.
Eligibility / Requirements
Academic Requirements:
- Completed undergraduate study from a public or officially recognized university/higher education institution (240 ECTS).
- Final grade of at least ""Satisfactory"" or grade C (as commonly used in the and Canada).
- To start a 60-ECTS MBA (One-Year MBA), you need a minimum of 210 ECTS from your previous studies and one year of work experience. You need to provide proof of an additional year of work experience until the end of your programme.
Work Experience:
- At least one-year work experience before the start of the IU Master program (achieved after previous studies).
- Proof of English skills
- If English is your native language or you graduated from an English-speaking school/university, you do not have to prove your English skills
Job roles this course is suitable for:
Business Intelligence Consultant , Big Data Scientist , Big Data EngineerAbout IU International University of Applied Sciences
IU International University of Applied Sciences combines bachelor and master programmes on campus model with online, distance learning models. Most of our programmes are available completely digitally or on-site in Berlin or Bad Honnef, near Cologne. In this way, we can focus on welcoming international students and providing them with a comfortable way to study that suits their needs. Our courses are all taught in English and the contents are tailored to building careers in an international environment.
A more flexible way to study Designed with an innovative and digital approach, IU International provides accredited higher education programmes with ease and flexibility. When you join IU International, you have much more freedom to choose when, where, and how you study—no matter where in the world you come from. On campus our programmes are now available with two additional intakes, you can start in January, April, July or October.
Whether you study online or on-campus, boost your chances to work in Europe - Get free German lessons while studying at IU International University of Applied Sciences.
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