The overall learning outcome of this master, common for all specialisations, is the following:

• K1 (common) - Has advanced knowledge in informatics and advanced theoretical, methodological and technical knowledge within the chosen specialisation.
• K2 (common) - Has basic knowledge in research methods used in informatics in general and deep knowledge of the methods used within the chosen specialisation.
• K3 (common) - Can analyse and solve problems using general methods in informatics.

The learning outcomes for each specialisation are as follows:

Knowledge for Databases and search (DS)

• K1 (DS) – Has advanced knowledge about systems and technologies for processing, storage and management of information, their application and characteristics.
• K2 (DS) – Has advanced knowledge about technologies, methods and techniques for indexing, querying and searching structured data and unstructured media, like text.
• K3 (DS) – Has advanced knowledge about identification, description and classification of information, with focus on selected standards, systems and information quality.

Knowledge for Artificial intelligence (AI)

• K1 (AI) – Has fundamental knowledge about how a problem can be represented as a search space and solved.
• K2 (AI) – Has deep knowledge of knowledge representation techniques and artificial intelligence (AI) methods for analysis and reasoning, and how they can be combined with classic methods and techniques, e.g. based on probability theory.
• K3 (AI) – Has fundamental knowledge about how the human brain works and AI methods based on this knowledge.

Knowledge for Software (SW)

• K1 (IS) – Has advanced knowledge about technology and tools for realising large software systems (make the system right).
• K2 (IS) – Has advanced knowledge about methods for modelling, development, quality assurance and governance of large software systems.

Knowledge for Interaction design, game and learning technology (ID)

• K1 (ID) – Has advanced knowledge of methods for involving users in the design process.
• K2 (ID) - Has advanced knowledge of methods for design, prototyping and evaluation of user interfaces, games and learning technology.
• K3 (ID) – Has exensive knowledge of the interaction designer’s role in large IT projects.

Knowledge for Programming and Security Engineering (PaSE)

• K1 (PaSE) – Has advanced knowledge about software engineering methods and techniques under systematic consideration of security aspects.
• K2 (PaSE) - Has relevant knowledge about general and contemporary security risks
• K3 (PaSE) - Has advanced knowledge of software design and developments for variety of application domains and associated trade-offs (e.g., performance vs. robustness).
• K4 (PaSE) – Has extensive understanding of how to embed or employ AI as part of software development process under consideration of legal and ethical constraints.

Knowledge for Visual Informatics (VI)

• K1 (VI): Has advanced knowledge of key methods for processing and analysing visual data, including images, video and 3D scenes, and understands their mathematical and computational foundations as well as ethical and societal implications.
• K2 (VI): Has advanced knowledge of modern imaging and sensing technologies and understands principles for data capture, calibration and integration across platforms such as cameras, sensors and displays.
• K3 (VI): Has advanced knowledge of managing and exploring large-scale visual data, including modern data pipelines, storage solutions and visual analytics concepts used in industry and research.

The overall learning outcome of this master, common for all specialisations, is the following:

• S1 (common) - Can effectively and effeciently develop and evaluate IT systems and solutions within the chosen specialisation.
• S2 (common) - Can analyse and assess IT systems and solutions according to technical and non-technical factors.
• S3 (common) - Can use knowledge and skills on new problems and work independently with research and development within the field of informatics.

The learning outcomes for each specialization are as follows:

Skills for Databases and search (DS)

• F1 (DS) – Can specify, design, implement and evaluate systems for storing, updating, indexing, search and analysis of structured data, text and other media types.

Skills for Artificial intelligence (AI)

• F1 (AI) – Can realise systems using AI methods in combination with classic techniques, based on each method’s strengths and weaknesses.

Skills for Software (SW)

• F1 (IS) – Can identify, specify and analyse needs and requirements, to realise an appropriate software system (make the right system).
• F2 (IS) – Can realise and govern a software system effectively and efficiently.

Skills for Interaction design, game and learning technology (ID)

• F1 (ID) - Can identify, define and analyse various customer and user needs.
• F2 (ID) – Can work effectively and efficiently with tools for design, prototyping and evaluation of user interfaces, game and learning technology.
• F3 (ID) – Can work effectively and efficiently in user-oriented IT projects with requirements, design, implementation and testing.

Skills for Programming and Security Engineering (PaSE)

• F1 (PaSE) - Can define and manage software development processes under consideration of best practices for a variety of application domains or industry-specific requirements.
• F2 (PaSE) - Can work effectively on existing code bases.
• F3 (PaSE) - Can analyze security risks for designed or developed applications and propose mitigation strategies.

Skills for Visual Informatics (VI)

• F1 (VI): Can design, build and evaluate advanced methods and systems for visual data processing and analysis, and apply them across diverse application areas.
• F2 (VI): Can select and apply machine learning and AI-based approaches to create visual informatics solutions.
• F3 (VI): Can create efficient workflows for acquiring, handling, processing and interactively presenting visual data, and use visual analytics to support insight and decision-making.
• F4 (VI): Can work effectively with modern software tools, programming environments and computing hardware, and collaborate across disciplines in applied and research-driven projects.

The overall learning outcome of this master, common for all specialisations, is the following:

• G1 (common) - Can communicate effectively and efficiently about informatics isses, both with informatics specialists and non-specialists.
• G2 (common) – Can collaborate across disciplines and contribute effectively in multi-disciplinary innovation processes.
• G3 (common) – Can reflect on the role of information technology in society and related societal, ethical and legal issues.
• G4 (common) – Can «learn» new methods and technologies within informatics and has a solid foundation for life-long learning.

The learning outcomes for each specialization are as follow

General competence for Databases and search (DS)

• G1 (DS) – Has special understanding of governance of data at large scale and over long time.

General competence for Artificial intelligence (AI)

• G1 (AI) – Has special understanding of how AI techniques can be utilized in an information system, and the potential and concequences such usage may have.

General competence for Software (SW)

• G1 (IS) – Has special understanding of possibilities and concequences of digitalisation.

General competence for Interaction design, game and learning technology (ID)

• G1 (ID) – Has special understanding of how to ensure adequate usability of systems.

General competence for Programming and Security Engineering (PaSE)

• G1 (PaSE) – Has special understanding of trade-offs in systems design and the impact of software applications on the real world (e.g., security, legal, ethics).

General competence for Visual Informatics (VI)

• G1 (VI): Has special understanding of the opportunities and impact of visual informatics technologies in society, including privacy, security, sustainability and ethics, and can clearly communicate technical concepts and results to both specialists and non-specialists.