Digitalisation is leading to great challenges for many companies. More and more data is converging within structures that can barely be analysed, processed or used without the right understanding and solution-oriented approaches. This is where data scientists or data analysts come into play. They understand the complexity of the data and use models for developing solutions and answering questions. In this way, they can generate target-oriented added value for their company based on their findings.

Within the Online Applied Business Data Science Master’s programme, students get a very realistic picture of what it takes to be a good data analyst and what potential employers are actually expecting. In order to become familiar with and apply the most important procedures and methods in the Applied Business Data Science M.Sc., real data from real companies is used. In the process, essential questions are addressed: how can one predict whether a customer will cancel a current contract at some point in the future or not? How can homogeneous customer segments be established within a customer database?

Normal study period: four semesters

Qualification: Master of Science

Language: English

Study locations: 100% online

Practice: workshop / research project

Accreditation: Accredited by the Accreditation Council

The goal of this degree programme is to find answers to these and many other questions and to generate – with a direct focus on the business value chain – added value from these insights. To this end, participants in the Applied Business Data Science Master’s programme learn how to programme (SQL, R, Python) and how to use the right tools to implement their desired solutions.

With the content of the Applied Business Data Science M.Sc. and the concept of distance learning, ISM can offer you various key advantages that will ensure that you can master and manage the challenges you’ll face in various companies with a high level of expertise:

• practical relevance and application-oriented distance learning
• networking as a basis for future career prospects
• development of technical skills, such as programming in Python and R, advanced statistical skills, confident use of basic statistical software (such as SPSS), machine learning skills and database expertise in SQL and Access as well as ERP systems (SAP)
• critical questioning of data (“data literacy”) and profitable application for a company as part of the value chain
• gaining interface expertise between IT, business administration and data science, so that an application is also possible in the area of IT consulting.
• creation of adaptive learning systems
• acquisition of skills to independently address highly complex, technical issues and to prepare for “life-long learning”
• comprehensive practical projects such as “Digital Bootcamps” as well as in the area of Robotic Process Automation RPA

One of the crucial personal prerequisites is an enthusiasm and interest in data and how to work with it. Experience in statistics and quantitative methods is advantageous. The Applied Business Data Science Master’s programme is suitable for you if, in addition to the requirements for participation, you bring an open mind to the basic idea of this degree programme: to gain knowledge and insights from data and to use them in a future-oriented way.

Bachelor degree that includes at least 50 ECTS units in business sciences. At least 10 ECTS units of those have to have been earned in quantitative or methodological courses and English B2