Applied Data Science, Master of Science

Part-time program @ NORDAKADEMIE University of Applied Sciences 

👉 Those who work or wish to work in a professional environment that requires analytical handling of data are well suited for the Applied Data Science degree programme. Graduates of the programme are capable of planning, organising, and leading data science projects. In doing so, they always act within the context of business objectives; that is, they possess advanced data skills while maintaining an overview of the bigger picture within the company.

At a Glance

🏫 University NORDAKADEMIE University of Applied Sciences, UAS based in Elmshorn (Germany)
The Nordakademie University of Applied Sciences offers practice-oriented degree programmes with outstanding study conditions and a high success rate. It opens up impressive career paths for its graduates worldwide. The theory part of the five dual Bachelor's degree programmes takes place at the sustainability campus in Elmshorn (Schleswig-Holstein) (dual face-to-face study), while the postgraduate study and further education programmes (part-time face-to-face study) are based at the Nordakademie Graduate School in Hamburg.
🎓 Field of Study Information SciencesData Science & AI
📜 Degree Master of Science (M.Sc.)
⏳ Duration 4 Semesters
🎯 ECTS 90 Credit Points
🌍 Language of Instruction German
📖 Course contents Sustainable Corporate Management, Data Science Project Organisation, Scientific Working Methods, Statistical Methods, Data Mining, Data Management, Artificial Intelligence, Machine Learning, Multivariate Data Analysis, Reporting and Visualisation, Selection of two elective modules from IT Project Management, Process Mining and Text Analytics, Master's Thesis
📍 Location Hamburg
📅 Enrollment Winter or summer semester
💶 Fees
from 520 € monthly
from 11952 € total
🔗 More Info View Vendor Profile

Admission requirements

The requirement for admission is a nationally recognised university degree obtained in Germany from a domestic or foreign university. In addition, applicants must provide proof of basic knowledge in the areas of databases and business analytics corresponding to at least 5 ECTS credits.

For the master's degree, which also includes the right to pursue a doctorate, a total of 300 credit points are required. Since the master's programme only comprises 90 credit points, applicants who have less than the equivalent of 210 credit points from their first degree must make up the missing credit points before graduating with the master's degree. Admission in this case is only granted on the condition that the missing credit points are earned before completion of the master's programme.

 

Details

Face the digital transformation in companies and expand your skill set! Become an Applied Data Scientist and combine mathematical-statistical and IT expertise with management and communication skills! This knowledge has been imparted by the part-time Master's degree programme Applied Data Science (M.Sc.) since April 2021. You will acquire knowledge for the sound analysis and proper preparation of data to investigate business-related issues. Additionally, the programme covers the areas of application, strategy, management, and communication within the data science spectrum.

Alongside the methods and techniques of data science, the focus is on the role of acting as a link between the involved departmental and analysis experts. This way, you become the competent contact person for management and analysis departments. You will be able to select an appropriate analytical procedure for the problem at hand, independently carry out basic analyses using suitable software tools, and provide support when using complex analytical methods. In addition to taking on tasks as a data specialist in various functional areas of companies, the programme also enables specialisation in strategic or operational consulting tasks or data science project management.

Furthermore, there is an option to participate in a study trip to China, Russia or the USA, as well as in the International Week of the IPADE Business School.

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