Artificial Intelligence & Data Analytics
Learn AI & Data Analytics at Master’s level
Artificial intelligence and data-driven technologies are no longer future concepts, they are already shaping how businesses make decisions and optimize processes. What companies need today are professionals who don’t just collect data, but understand it and translate it into intelligent solutions.
With the Micro Degree in Artificial Intelligence & Data Analytics at Mediadesign Hochschule, you gain in-depth expertise at the intersection of technology and business. The program is flexible, part-time, and delivered at an advanced academic level, without the commitment of a full Master’s degree.
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Your career advantage
The Micro Degree in Artificial Intelligence & Data Analytics prepares you for roles at the intersection of AI, data analytics, and business application.
Within just five months, you will develop a solid understanding of modern data and AI technologies, with a strong practical focus and clear relevance to your professional environment. The content is derived from the Master’s program in Information Technology and condensed into an efficient, part-time format.
Your benefits at a glance
- Master’s level: Take selected modules from the accredited M.Sc. Information Technology
- 20 ECTS credits: A compact, clearly structured learning path
- Part-time format: Classes take place on Friday afternoon and Saturdays, making it easy to combine with your job
- Hands-on specialization: Apply AI and data analytics directly to real-world use cases and learn to make data-driven decisions
- Official university certificate: Graduate with a recognized mdh certificate as proof of your expertise
Curriculum: Understanding AI & Data Analytics
At the core of the program is your ability to analyze complex data structures, develop intelligent systems, and translate data-driven insights into strategic value.
Rather than focusing on isolated tools, you will develop an integrated understanding of:
- Machine learning and AI models to solve real-world problems
- Data infrastructures and pipelines for processing large-scale datasets efficiently
- Analytical methods and visualization techniques to communicate insights clearly
- Ethical and regulatory frameworks critical to the responsible use of AI
A key focus is enabling you to position technical solutions within business and societal contexts and to implement them responsibly.
Your future in the data economy
The market is actively looking for professionals who can not only understand AI projects, but also lead them. This Micro Degree positions you for roles such as:
- Development and optimization of machine learning models
- Design and management of data architectures
- Analysis of large datasets for decision-making support
- Development of data-driven products and services
- Management and evaluation of AI projects
You operate at the interface of technology, business, and strategy, a role that is in high demand across industries.
Application & Admission
Your personality and potential matter more than perfect grades.
Requirements:
- A completed university degree (Bachelor’s or equivalent) in Digital Media, Computer Science, Media Informatics, or a related field
- Good English language skills
- Relevant professional experience
Application documents:
- Relevant certificates and transcripts
- CV including photo
You can apply before completing your Bachelor’s degree. The final certificate can be submitted later.
For international applicants:
You can have your international certificates evaluated in advance via uni-assist to check your eligibility and admission requirements.
Tuition fees
- Campus Berlin (English-taught): €2,245 total or €449 in 5 monthly installments
Is this Micro Degree right for you?
This program is designed for professionals with a technical or analytical background, who want to advance their expertise in AI. It is particularly suitable for:
- IT professionals specializing in artificial intelligence
- Software developers expanding their knowledge in machine learning
- Data analysts looking to deepen their analytical capabilities
- Engineers working on data-driven products
- Graduates of technical disciplines with an interest in AI
- Professionals responsible for, or aiming to lead, data-driven innovation projects
The program requires a completed Bachelor’s degree (or equivalent), good English skills and relevant professional experience.