Our Micro degrees

This course offers students practical, hands-on experience by guiding them through the complete AI solution development pipeline—from data collection to deploying models in the cloud.

In this module, students learn about the basics and advanced topics of big data and cloud computing technologies, platforms and systems, their design and implementation, and their utilization in industrial and commercial applications.

This course teaches students to design immersive virtual worlds by combining geometry, light, physics, and interaction using tools like Unity.

To better understand the process behind software development, the first coding camp places students into a team software development project in which they get to understand and experience it.

This module challenges students to explore digital image processing and interactive devices, while deepening their understanding of Object-Oriented Programming. It also offers hands-on experience with Java and C++.

This module is part of the "Rootcamp" which onboards students to the program, the teaching and learning methods to solve complex problems belongs to a set of so-called "future skills", which humans need to thrive in and design the digital age.

This course, part of the "Rootcamp" onboarding program, equips students with the theoretical foundations, methodologies, and practical teamwork skills needed to tackle complex problems creatively and collaboratively.

This course introduces students to the principles and practices of digital forensics, focusing on the investigation and analysis of digital evidence in a systematic, methodologically sound, and legally defensible manner.

This course provides a foundational understanding of key concepts such as the CIA (Confidentiality, Integrity, Availability) triad, common threats, and attack vectors, helping students understand and address today’s cyber threat landscape.

Students explore advanced data analysis for decision-making, covering key analytics types and their business applications through both theory and practice.

The course introduces building neural networks, reinforcement learning, probabilistic graphical models, and recursive networks, giving students a strong foundation in both current and alternative AI approaches.

This module introduces user-centered innovation through Design Thinking, teaching core principles and techniques applied to real-world challenges, with a focus on teamwork and presentation skills.

This course equips students with advanced leadership and change management skills needed to drive digital transformation successfully.

This module explores advanced digital business models, guiding students from idea generation to MVP development for both startups and corporate ventures, with a focus on innovation and competitiveness.

The module covers how digital ecosystems and platforms reshape markets and enable new business models, providing key skills for the digital economy.

This course covers digital transformation in the public sector, focusing on using IT, AI, and management techniques for citizen-centric services under budget constraints.

This course explores key financial concepts and strategies for launching, funding, and scaling start-ups, helping students understand financial needs, capital sources, and investment opportunities.

This module aims to provide a comprehensive understanding of how immersive technologies create engaging and interactive experiences by blending the digital and physical worlds.

This course covers info security principles, industry standards, frameworks, methods, and their critical evaluation for modern organizational security.

This module is an introduction to logic and symbolic AI. We introduce the principles of computational logic and the fundamentals of the logic programming paradigm as exemplified by the Prolog language.

This course covers how big data and machine learning support decision-making, focusing on methods like regression, neural networks, and SVMs, along with data pipelines and AI strategies.

This course introduces students to the foundations of haptics and multi-sensory integration, exploring the technologies and psychological principles that shape immersive user experiences.

This course introduces probabilistic graphical models, such as Bayesian networks and Markov random fields, focusing on their application in data analysis, machine learning, and decision-making.

This course covers project management and entrepreneurship, focusing on digital-era innovation, Design Thinking, and creative solutions for real challenges.

This module covers securing complex software systems, including secure coding, design, security measures for various apps (web, mobile, traditional), vulnerability analysis, and tool experience.

This module blends economic theory with practical application in entrepreneurial and corporate settings. It develops strategic thinking skills, covering key areas of strategic management through case studies and real-world scenarios.

This course covers vulnerabilities in systems and networks, including IoT and 6G. Students learn to identify attack vectors, assess security measures, and use practical tools for analysis.

The module focuses on the nature of digital media and how they are encoded and compressed, the fundamentals of the Internet, the WWW, and emerging digital technologies.