Our Micro-Degree Programs

This module offers a comprehensive introduction to the ethical, social, and governance challenges that arise in the use of data and artificial intelligence, tracing the historical development of data ethics.

This micro-degree teaches how to use AI to drive business innovation, digital transformation, and new ventures, moving from basic AI literacy to designing and pitching viable AI-powered business models or transformation strategies.

The course surveys neural networks from CNNs to transformers and agents, emphasizing efficient AI, model compression, and real-world deployment.

In today’s rapidly advancing technological landscape, Artificial Intelligence (AI) plays a critical role in solving complex real-world problems. 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. Focusing on constrained, well-defined problems within limited populations (e.g., recognizing 100 individuals), students will gain deep insights into the challenges and strategies of working with real AI systems. Rather than tackling broad, open-ended recognition tasks, this course hones in on building tailored solutions where the scope is manageable but the complexity is authentic. Through teamwork, experimentation, and iteration, students will learn to bridge the gap between theoretical AI knowledge and real-world application.

The module explores the intersection of technology and human capability enhancement.

Big data and cloud computing are leading edge IT technologies that team together as key enablers for today’s IT industry with its emerging AI-based solutions.

This module introduces students to the theoretical and technical foundations of immersive virtual world design, using tools like Unity to integrate geometry, lighting, physics, rendering, and interaction systems.

This course introduces students to software development using Python. It covers basic coding, object-oriented programming, Django, and key practices like agile methods, version control, and clean code.

This course introduces students to software development using Python. It covers basic coding, object-oriented programming, Django, and key practices like agile methods, version control, and clean code.

A captivating exploration into the human side of cybersecurity, blending design, psychology, and communication techniques. Discover the full spectrum of communication, including multi-sensory design and innovative security solutions.

This course addresses the multifaceted challenges of digitalization and digital transformation across various sectors. It emphasizes the importance of understanding and managing the interrelated elements inherent in these complex issues.

This course is part of the Rootcamp onboarding program and prepares students to tackle complex, real-world challenges through a blend of theory, methodologies, and collaborative practice.

Investigate, analyze, and report on digital evidence in a systematic and legally sound manner. Learn to apply forensic tools and techniques across diverse environments including computers, mobile devices, cloud platforms, and networks.

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. Throughout the course, participants will gain a broad understanding of essential topics, including authentication and access control, cryptography, system and operating system security, network security, enterprise security, and regulatory compliance.

This module provides advanced knowledge about the struc-ture and analysis of large amounts of data and how this is to be used in decision-making processes.

Most advanced AI applications being developed and deployed today rely on one or more "deep learning" models. In this course, students will learn to construct deep neural networks, with or without attentional components.

This module is part of the “Rootcamp” which onboards students to the program, the teaching and learning methods. It teaches the principles, techniques and processes of Design Thinking, a user-centric approach to generating innovations.

The module focuses on advanced theoretical as well as practical frameworks and methods for leadership in the digital world as well as the required change management tools to achieve digital transformation within an organization.

Digital Business Models play a fundamental role in an organization for realizing new ways of value creation for customers and remaining competitive in an increasingly digital world.

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

This module focuses on advanced theoretical and practical frameworks for managing digital transformation and its impact on work and organizations.

While private organizations often have more tangible drivers – growth, profit, market share – to push their digital transfor-mation, governments and public services also need to trans-form because of their purpose.

Delve into the intersection of entrepreneurship, finance, and innovation, exploring how funding mechanisms and financial strategies are integral to the growth and success of innovative start-ups.

This course addresses the challenges of building ethical and trans-parent AI-backed systems across various sectors, introducing explainability techniques in AI and machine learning (explainable AI, XAI).

This module introduces students to common algorithms used in financial markets in a playful way.

This module aims to provide a holistic view of the security engineering approaches and methods used to ensure authorized access to data and systems.

Covering the fundamental concepts, tools, and applications, this module aims to provide a comprehensive understanding of how these technologies create engaging and interactive experiences by blending the digital and physical worlds. Through a combination of lectures, hands-on labs, and project-based learning, students will explore the technical aspects of developing immersive content, including 3D modeling, real-time rendering, and user interaction. Additionally, the course will examine the impact of immersive technologies across various sectors such as education, healthcare, entertainment, and beyond, highlighting their potential to transform everyday experiences.

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. We then use these concepts to solve classical artificial intelligence tasks such as problem solving and game playing.

Decision-making is empowered by (big) data through the use of machine learning and data analytics principles.

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. All of this is discussed against the backdrop of the ongoing digitization of all parts of our lives, across industries, and for the advancement of the public sector. Therefore, the module provides students with a holistic view of digital technologies and their application in business and society.

An introduction to the current state-of-the-art techniques in the area of Natural Language Processing (NLP), namely Large Language Modules (LLMs), which form the core of modern Artificial Intelligence (AI).

We will be covering semantic foundations, inference and learning for Bayesian networks, functional causal models and rule-based approaches to causal and probabilistic reasoning. This will equip you with the ability to model systems governed by complex, probabilistic relationships and reason both within the system and on interventions into the system. We will discuss the types of knowledge required to answer certain queries and how that is reflected in the choice of model. Lastly, we will see to what extent access to data can assist us in constructing models that can give the answers we need in a principled way.

This module is part of the “Rootcamp” which onboards students to the program, the teaching and learning methods.

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

Within fast changing environments, a strategic perspective is fundamentally important for setting the right directions for future developments of companies.

This module examines the characteristics of systems and networks to identify attack vectors and vulnerabilities, then explores security concepts and their practical application to address these threats.

This course provides an advanced understanding of digital technologies and focuses on digital media, and the fundamentals of the Internet, the WWW, and emerging digital technologies.