Applied Data Science University of Göttingen

Overview

The University of Göttingen is renowned for its research-oriented approach and interdisciplinary focus, particularly in the field of Applied Data Science. The programme is structured to provide students with a robust grounding in mathematical, statistical, and computer science methods, ensuring they are well-prepared to tackle complex data challenges. The university's strong industry connections and partnerships enhance the learning experience, offering students valuable opportunities for internships and collaborative projects.

For the Applied Data Science programme, there are no tuition fees for international and European students, making it an accessible option for those seeking to advance their education in this vital field. Visit the Fees and Funding section for a breakdown in your local currency.

The curriculum of the Applied Data Science M.Sc. is divided into three main components: the core curriculum, the professionalisation section, and the master's thesis. Each segment is designed to build upon the last, ensuring a comprehensive educational experience. Key elements include:

• Core Curriculum: Covers essential Data Science methods from Computer Science, Mathematics, and Statistics, including statistical modelling, machine learning, and ethical considerations.
• Professionalisation Section: Allows students to specialise in an application domain such as Computational Neuroscience, Bioinformatics, Medical Data Science, Digital Humanities, Computational Sustainability, or Digital Business Administration.
• Master’s Thesis: Involves conducting independent research after completing 90 ECTS in the first two areas of study.

Data scientists are increasingly sought after across various sectors, including manufacturing, finance, healthcare, and academia. The skills acquired in this programme prepare graduates for roles in research institutions, consulting firms, and technology companies, among others.

Graduates of the Applied Data Science programme can expect to find employment in diverse fields. They may work as data scientists, analysts, or consultants in industries such as finance, healthcare, and technology. Alumni have successfully secured positions in leading organisations, contributing to innovative projects that leverage data for strategic decision-making. Furthermore, the programme also qualifies students for PhD opportunities, paving the way for further academic pursuits.