Master of Science in Machine Learning and Data Analytics

The Master of Science in Machine Learning and Data Analytics at Aalen University covers the theory and application of machine learning methods across the full data analysis workflow, from data storage through evaluation to decision-making. The programme addresses both symbolic methods such as inductive and deductive learning and sub-symbolic techniques such as support vector machines and neural networks. Ethical and social dimensions of machine learning are also part of the curriculum. A distinguishing feature is the competence area: depending on the student's Bachelor's degree, they select a field of expertise and attend two lectures from Aalen University's Master's programme that reflect machine learning applications in that domain. The programme runs for three semesters, with two semesters of lectures and laboratories followed by one semester for the Master's thesis. Practical training can also be undertaken as part of a sabbatical semester. The programme is offered at Aalen University in Aalen, Germany, with intake in both the winter and summer semesters.