Course Overview | |
|---|---|
| Final Degree | Master of Science |
| Language of Instruction | Englisch |
| Semesters | 3 |
| Application period | Summer term: Mitte Oktober - 15. Dezember Winter term: Mitte April - 15. Juni |
| Adminission Criteria | Bachelor's degree in computer science or a related degree program and at least 20 CP in the field of computer science English B2 |
| Accreditation | system accredited |
| Accreditation certificate | |
| Postgradual Study (Master) | Yes |
| Part-Time Programm | No |
| Consecutive Degree Programme | Yes |
| Pre-study Internship Required | No |
| Administration Fees | The semester fee of € 170 is made up of an administrative fee of € 80, a contribution of € 72 to the Studierendenwerk Ulm and a contribution of € 18 to the student union. Additional tuition fees may be due for international students or second degree applicants, see also www.hs-aalen.de/gebuehren. |
| Selection Process | Numerus Clausus |
| Leaflet | |
In the Master's degree program 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 of 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. In doing so, you acquire 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 change fundamentally through the application of machine learning methods.
A special feature of the course is the so-called competence area. Depending on the Bachelor's degree with which you begin your studies, you choose your area of expertise in the Master's degree. Therefore, you will attend two lectures from Aalen University's Master's program that are typical for the application of machine learning methods in your field. That way, you will come into contact with the applications from your later professional life at a very early stage.
Curriculum Machine Learning and Data Analytics (WiSe)
Curriculum Machine Learning and Data Analytics (SoSe)
First degree (Bachelor's) with a German grade of minimum 2.5 and better and at least 20 CP in the field of computer science. English B2 required.
We do accept Bachelor's degrees from a variety of disciplines.
A tool for conversion of the CGPA 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
The fields of activity in professional life are as diverse as the applications of machine learning. From application to development to research, you are qualified for all areas. Practically all sectors are open to you. The Master's degree also enables you to begin a doctorate if you wish to pursue an academic career.