The Bachelor of Engineering (B.Eng.) in Data Science and AI at MUDT is designed to equip students with the skills and knowledge to harness the power of data and artificial intelligence in the digital age. This comprehensive program covers essential concepts, tools, and techniques, enabling students to analyze complex data, develop machine learning models, and create AI driven solutions. The curriculum is tailored to meet the growing demand for data professionals in various industries, preparing graduates for a successful career in a dynamic and evolving field. Specialisations includes IoT, Edge AI & Industrial AI, Cybersecurity & AI Safety (Cross Program), Cloud, Big Data & MLOps, Machine Learning & Generative AI, and Business Intelligence & Data Analytics. This program is ideal if you: enjoy mathematics, data, technology, and solving complex problems, are curious about artificial intelligence, machine learning, and intelligent systems, want to work at the intersection of software + engineering + data, like hands on projects and building real AI driven applications. Programming & Software for AI: Ability to develop AI applications using Python, R, and modern AI programming tools, including frameworks such as TensorFlow, PyTorch, and advanced agent based libraries. Mathematical & Statistical Foundations for ML
Career Path
Graduate career path includes Data Scientist, Machine Learning Engineer, AI Engineer, Deep Learning Specialist, AI Research Scientist, Robotics Engineer, Computer Vision Engineer, Autonomous Systems Developer, Natural Language Processing Engineer, Speech Recognition Specialist, AI Consultant,Data Analyst, Business Intelligence Analyst, Predictive Analytics Specialist, AI Product Manager, AI Ethics Specialist, AI Security Specialist, Edge AI Developer, Generative AI Specialist, Healthcare AI Analyst, Sustainable AI Engineer, Curriculum Developer for AI programs.
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 Munich University of Digital Technologies and Applied Sciences below;
1. WASSCE/A level Certificate
2. School Transcript
3. Passport
4. Recommendation Letter
5. Statement of Purpose
6. 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.
