Master of Science in Machine Learning and Data Analytics Aalen University

All courses are taught in English.

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.

• 15 September for the summer semester
• 15 March for the winter semester

EU students do not pay tuition fees.

1,500 EUR per semester for non-EU students

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.

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1,500 EUR

EU students do not pay tuition fees.

1,500 EUR per semester for non-EU students

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

Approx. 998 EUR per month to cover personal expenses

First degree (Bachelor's) with a minimum of 2.5 (German grading system) or better and at least 20 CP (credit points) in the field of computer science. (Students can make up missing credit points during the first semester). We do accept Bachelor's degrees from a variety of disciplines.

A tool for converting the CGPA (Culmulative Grade Point Average) of your Bachelor's degree into the German marking system can be found here: https://www.hs-aalen.de/uploads/mediapool/media/file/13301/Conversion.xlsx.

English B2 for non-English native speakers

• 15 September for the summer semester
• 15 March for the winter semester

Deutschlandstipendium (Germany Scholarship): a scholarship programme for excellent students, German and international. Recipients receive 300 EUR per month.

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.

Please refer to "Information for International Students".

Please refer also to https://www.hs-aalen.de/de/facilities/57. Support is also provided by the International Center.

Intercultural trainings, additional German language courses, job application trainings, (relocation) counselling

Please refer to the International Center of Aalen University: https://www.hs-aalen.de/en/facilities/24.