Master in Applied AI is a two-year program (eight quarters) that covers the theoretical aspects of AI.
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Course Start:
(Self-paced)
M.Sc. Applied AI
Overview
The M.Sc. Applied AI is a two‑year program that combines AI theory with hands‑on applications. Students develop skills in machine learning, coding, and real‑world problem‑solving, preparing them to design and apply responsible AI solutions across industries.
Explore the M.Sc. Applied AI Webinar with Prof. Dr. Felix Weitkämper and learn how AI and machine learning are reshaping industries.
Who should apply?
This program is ideal for STEM graduates and early-career professionals who want to build strong skills in artificial intelligence, machine learning, and real-world AI applications, especially those interested in working on industry projects and understanding both the technical and ethical sides of AI.
Learning Objectives
Develop knowledge in core AI fields, build advanced coding and data skills, and apply them to real-world problems through collaborative, research‑driven projects and industry-focused applications.
Study Program
| 1st Quarter | 2nd Quarter | 3rd Quarter | 4th Quarter | 5th Quarter | 6th Quarter | 7th Quarter | 8th Quarter |
|---|---|---|---|---|---|---|---|
| Rootcamp I Complex Problem Solving (5 ECTS) |
Rootcamp II Design Thinking (5 ECTS) |
Big Data, Cloud Envision & Strategize (5 ECTS) |
Experiment I Group Challenge AI (15 ECTS) |
Elective 1 (5 ECTS) |
Elective 4 (5 ECTS) |
Experiment II Master’s Challenge (15 ECTS) |
Master Thesis (15 ECTS) |
| Logic & Symbolic AI (5 ECTS) |
ML I Learning & Analytics (5 ECTS) |
ML II Deep Learning (5 ECTS) |
Elective 2 (5 ECTS) |
Elective 5 (5 ECTS) |
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| Coding Camp I Python Fundamentals (5 ECTS) |
Coding Camp II Interactivity (5 ECTS) |
Applications of AI (5 ECTS) |
Elective 3 (5 ECTS) |
Elective 6 (5 ECTS) |
Program Coordinator
Prof. Dr. Felix Weitkämper
Felix has completed his undergraduate education in Mathematics with Philosophy at the LMU in Munich. Afterwards, he completed a doctorate in Mathematics with the Logic Group at the University of Oxford. After graduating from Oxford, he spent a year teaching 15-19 year olds at a technical college in the North of England as part of the Researchers in Schools initiative, which brought postgraduates from selective universities into schools in disadvantaged parts of England. In 2020, Felix moved into computer science and joined the programming languages and AI group at the LMU in Munich as a postdoctoral researcher. His research focus lies on interpretable, human-centered AI, and in particular on the combination of statistical learning and modelling with sophisticated logical reasoning. Within this field, his work spans from mathematical foundations to systems and applications in the life sciences. He is part of the German UDS family since October 2025 as a full-time senior researcher, doing his part for the new generation of AI specialists and deciders to be grounded in the whole breadth of AI research and technique.