Master of Science in Machine Learning and Data Analytics
Master machine learning and advanced data analytics through a practical, application-driven curriculum at Aalen University.
Best for:Best for graduates with a background in computer science or engineering seeking advanced expertise in machine learning and applied data analytics.
Overview
The Master of Science in Machine Learning and Data Analytics at Aalen University equips students with comprehensive expertise in modern data processing, from storage and evaluation to decision-making. Spanning three semesters, the curriculum integrates both symbolic and sub-symbolic learning methodologies alongside critical discussions of ethical and social implications. Students tailor their expertise through targeted competence areas aligned with their undergraduate background and complete a supervised Master's thesis. The program is designed to prepare graduates for professional leadership roles in data science, artificial intelligence, and applied analytics.
What you'll do
- Engage in lectures and laboratory sessions covering foundational and advanced machine learning techniques.
- Select and complete specialized competence modules tailored to prior academic qualifications and career goals.
- Design and execute efficient data processing pipelines ranging from large-scale storage to final evaluation.
- Examine ethical, social, and professional impacts of machine learning implementations.
- Conduct independent research and complete a Master's thesis project during the final semester.
Requirements
Degree required: University degree qualifying for a profession with a focus on computer science, business informatics, computer engineering, electrical engineering, electronics or a related field with at least 180 to 210 ECTS credits
Degree offered: Master of Science
Language: English; B2 required (e.g., TOEFL iBT)
Instruction: English
- Foundational academic background in computer science, engineering, or a closely related discipline
- Proficiency in foundational mathematics and programming concepts relevant to data analysis
- Ability to engage with theoretical models and practical applications of artificial intelligence
- Open to applicants of all nationalities fulfilling academic and language criteria
Funding & terms
Programme and admissions
Admissions not verified
A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
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- Taught / research mode
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- Prerequisites
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- Tuition
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How to apply
Deadline: 2026-06-15
Prepare all necessary academic transcripts and language certificates, then submit your application through the official university online application portal before the specified deadline.
- University degree certificate
- Transcripts of records
- English language certificate
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.