The Master’s program in Data Science and Artificial Intelligence (AI) at MUDT is designed for ambitious students seeking to drive innovation in AI powered systems. This interdisciplinary program offers a robust combination of advanced theory and applied skills in machine learning, data engineering, ethical AI, and emerging fields such as large language models (LLMs), computer vision, and generative AI. Students will engage in real world projects and thesis work in close collaboration with academia or industry, preparing them for cutting edge roles in tech, business, and research. As you advance through the program, you can tailor your studies to your interests and career goals. With eight elective modules and the option to choose courses across multiple engineering programs, you can build a personalised focus area. These specialisations help you deepen your expertise whether in machine learning, cloud systems, robotics, IoT, industrial AI, or business analytics and prepare you fo r the roles most in demand in today’s technology landscape.
Career Path
Graduate career path includes Senior Data Scientist, Machine Learning Engineer (advanced systems), AI Engineer / Architect, Deep Learning Specialist, AI Research Scientist,Robotics Engineer (AI driven systems), Computer Vision Engineer, Natural Language Processing Engineer, Autonomous Systems Developer (self driving cars, drones), Speech Recognition Specialist, Senior Data Analyst / Business Intelligence Manager, AI Product Manager, Predictive Analytics Specialist, AI Consultant (corporate strategy), AI Ethics & Governance Specialist, Generative AI Specialist (text, image, video), Healthcare AI Analyst, Edge AI Developer (IoT, mobile devices), AI Security Specialist.
Post Study Work Visa availability – YES
We’ve simplified the admission process to help you get started quickly and easily. You can find all requirements for admission to The Munich University of Digital Technologies and Applied Sciences below;
1. Bachelor Degree and Transcript
2. Passport
3. Recommendation Letter
4. English Language Proficiency Letter
5. WASSCE/ A-Level Certificate
6. Statement of Purpose
7. CV
The Munich University of Digital Technologies and Applied Sciences will accept, for the purposes of meeting the English proficiency requirement, evidence of English study within a 12 year education system where English is designated as the primary and official language and the principal language of instruction. For applicants who do not yet meet the English language requirement, there are two pathways to achieve the necessary level:
Pre sessional English Programme; Students may successfully complete a preparatory English programme offered by the university before beginning their academic course. Recognized English Proficiency Tests; Students may submit one of the following minimum scores prior to the start of their program: IELTS: 6.5 overall band score (or equivalent), TOEFL or PTE: Score of 60, Duolingo English Test: Score of 120.
