Business Analytics
- What is the best, goal-orientated way to use data science in business?
- How do you profitably use data-based technologies to implement new business models?
- How can I collect data and use it for business purposes?
- How do you manage company projects with a focus on IT or business analytics?
These are the questions that you will be faced within the specialization Business Analytics – which connects Business Administration with Computer Science.
During the specialization you will get to know the fundamentals of data-driven technologies and how these are used in core areas of Business Administration, such as Marketing or Accounting. You will become familiar with methods and technologies used to create data-driven business models and decision support systems. In addition, you will learn, for example, how to set up a business intelligence concept to solve business management problems or how to work with technologies to manage big data. At the same time, you will acquire knowledge in the field of Computer Science. You will deepen your fundamental business knowledge as well as acquire new IT-skills on topics such as machine learning, data management or social systems modeling.
For you to be able to choose the specialization Business Analytics, you will need to fulfill two separate requirements: prior knowledge of Computer Science and prior knowledge of Business Administration. You should generally be able to fulfill one of the two requirements based on your prior studies. The other you will acquire during the first part of the Master’s Program.
The prerequisite Computer Science knowledge can be fulfilled through a degree in Computer Sciences or with the completion of the Module 1.6. Introduction to Computer Science for students with background in Business Administration, Law, Sociology, Psychology or comparable.
You can fulfill the prerequisite prior knowledge of Business Administration with a degree in Business Administration or with the completion of the Module 1.2. Introduction to Business Analytics for students with Computer Science background.
The respective courses of Modules 1.2 and 1.6 can be found in the curriculum.
The specialization consists of three modules, which all together account for 42 ECTS credit points.
In the first module you will take an in-depth look at the fundamentals of CSS with regard to Business Analytics. The module consists of three compulsory courses, with 4 ECTS credit points each. You will be made familiar with data-driven business models and with the utilization of data science for company purposes.
The second module consists of restricted elective courses, of which at least 12 ECTS credit points must be completed. Students are free to choose which topics in the context of Business Analytics they would like to study in more detail. Available courses dive into topics such as business intelligence or data-driven decision support systems. Additionally, students can choose to take one Special Business Administration (SBWL) from the Master's Program Business Administration.
The third module consists of restricted elective courses in the field of Computer Science. You have to complete at least 11 ECTS credit points. You can choose between topics such as information visualization, recommender systems, introduction to international entrepreneurship, and many more.
As interdisciplinary experts, your knowledge is highly valuable and broadly applicable. As a Business Analytics Expert, you could support companies and organizations with the analysis of bigger datasets and therefore optimize their performance. Additionally, roles such as Project Manager or Product Owner are very well suited for you. The Master’s Program is also very relevant for IT consulting and auditing. You could be a highly convincing asset in many Business Administration fields, with your added IT understanding.
