By joining the Operations and Supply Chain Analytics (OSCA) Program, you will learn how to address complex problems and make more effective decisions based on data, methodical consideration of available options, and careful predictions of outcomes and estimates of risk within the field of Operations and Supply Chain Management (OSCM).

MSc in Economics and Business Administration - Data Driven Business Development Combine data and business understanding and create new opportunities for businesses in constantly changing markets. In companies, data is becoming increasingly essential. In this program, you will gain strong analytical skills to work with data from various sources along with a solid understanding of business and an innovative mindset.

The Master’s degree program in Data Science focuses on both general and specialist competencies. You will acquire general competencies through three compulsory courses covering advanced statistical learning, large-scale optimization, and data visualization. You will develop specialist competencies through a 30 ECTS specialization package, and you can choose between the following four packages: Computational Statistics, Data-Intensive Systems, Finance and FinTech, and Signal Processing.

Data has become an important and widely used raw material. The amount of data is currently increasing so rapidly that the global amount of data is doubling every two years. In 2024, the total amount of stored data amounts to 176 zettabytes (1 zettabyte is 1021 bytes).

While analytical models and data abound, the general manager typically does not face isolated problems similar to textbook examples. Instead, managers often face problematic situations consisting of many strongly interrelated issues across functional and organisational boundaries. Hence, an essential role for the general manager is to find ways of addressing such problematic situations by setting goals and engaging in value-creating problem-solving.

Through a mix of theory and hands-on exercises you will learn to design, develop, implement, test and document technical business data analytics solutions to support organizational processes and/or satisfy business needs by using data analytics oriented programming languages (such as Python, R), Big data platforms (such as Hadoop, Spark) and open source technologies. You will work with visual, text and predictive analytic techniques including latest methodologies from data mining, machine learning and deep learning in order to transform Big data sets into business assets.