Master of Science in Machine Learning and Data Analytics Aalen University

In the Master's degree programme in Machine Learning and Data Analytics, you will learn which methods are available for machine learning and how to apply them correctly and efficiently. From data storage (especially large amounts of data) to data evaluation and decision-making, you will come into contact with all steps of data analysis.

Both symbolic learning methods such as inductive and deductive learning, and sub-symbolic techniques such as support vector machines or neural networks, are covered. Through this, you will gain a fundamental understanding of theory and practice. Ethical and social aspects also play a decisive role in this area and are considered as part of the course, as our working world will fundamentally change through the application of machine learning methods.

A special feature of the course is the competence area. Depending on the Bachelor's degree with which you begin your studies, you will select your area of expertise in the Master's degree. Consequently, you will attend two lectures from Aalen University's Master's programme that are representative of the application of machine learning methods in your field. This early exposure ensures that you engage with the applications relevant to your future professional endeavours from the outset.

The programme has a duration of three semesters, comprising two semesters of lectures and laboratories and one semester for the Master's thesis. Practical training can be undertaken within the scope of a sabbatical semester.

Academic admission requirements include a university degree qualifying for a profession in a course of study with a focus on computer science, business informatics, computer engineering, electrical engineering, electronics or a related field with at least 210 ECTS credits. Applicants with a university degree with fewer than 210 ECTS credits but at least 180 ECTS credits will only be admitted if they earn the difference during the Master's programme. The form in which the additional service is to be provided is decided by the person responsible for the approval. In this case, the degree programme is extended by one semester.

Currently 170 EUR per semester (including a contribution to the student association)

Approx. 992 EUR per month to cover personal expenses

It is possible to find part-time employment either at the university or outside of the university; the responsibility to secure such opportunities lies solely with the individual, requiring their own initiative.

Deutschlandstipendium (Germany Scholarship): a scholarship programme for excellent students, German and international
Recipients receive 300 EUR per month. More information to be found here: https://www.hs-aalen.de/en/application-studying/scholarships/.

Intercultural trainings, additional German (or other) language courses, job application trainings, soft skills, leadership, (relocation) counselling, etc.