Master of Science (M.Sc.)
Degree: Master of Science (M.Sc.)
When is the appropriate time to introduce products? Which audiences should be targeted? Should we invest in new production lines?
Big Data is becoming increasingly more important in business practice: from finance to the health sector, the amount of structured and unstructured data that companies are providing nowadays is rapidly increasing. Big Data specialists bridge the gap between logic and quantitative methods, programming languages, frameworks and infrastructure, all the way to the interpretation and implementation of the results in business processes.
There is high demand for Big Data analysts in companies. Therefore, the FOM Hochschule has developed a study programme, which focuses on the corporate value of data. From the winter semester 2018 onwards, (economic-) programmers, engineers, and scientists, as well as mathematicians and statisticians, can enrol in the new Master’s programme “Big Data & Business Analytics”.
In cooperation with FOM Hochschule, students from India now also have the opportunity to participate in the Big Data & Business Analytics Master’s programme at the Asia-Pacific Institute of Global Studies in New Dehli, India.
The first two semesters of the study programme will be held at the Asia-Pacific Institute of Global Studies in India, and the third and fourth semester will take place at the FOM Hochschule at the German University Center in Essen, Germany.
The Master’s degree in Big Data & Business Analytics will be completed with the academic degree Master of Science (M.Sc.). The degree will be awarded by FOM Hochschule für Oekonomie & Management.
Studying full-time in India and Germany
In cooperation with FOM Hochschule, students from India now also have the opportunity to participate in the Big Data & Business Analytics Master’s programme at the Uka Tarsadia University in Bardoli, India.
The first two semesters of the study programme will be held at the UTU in India, and the third and fourth semester will take place at the FOM Hochschule at the German University Center in Essen, Germany.
Bachelor's degree with at least 60 credit points in (Economic-) Computer Science modules
Bachelor's degree with least 60 credit points in subject related modules (for example, Mathematics, Statistics)
Big-Data-Architecture & -Infrastructure
Enterprise architecture management (EAM)
Technological requirements for big data
Vital infrastructures for data-driven business models
Complex processing by continuous data sets
Decision Focussed Management
Traditional decision theory
Management decisions from a psychological perspective
Decisions in a strategy context
Leadership & Sustainability
Leadership as part of normative, strategic and operative business management and in the context of diversity management
Leadership styles, techniques and instruments
Ethics and sustainability
Big Data Analytics
Data sources and data classification
Visual analytics/data discovery/explorative data analysis
AI methods such as machine learning
Computational intelligence: fuzzy logic, neuronal networks, evolutionary algorithms
Data protection and data privacy
Risk analysis/type of threats
Attack vectors and scenarios
Applied Project II
Subject to change.