Master of Science in Informatics

Master’s degree programme, 2 years

Master of Science in Informatics

– Learning outcome

Forventet læringsutbytte


Expected learning outcome

A candidate who has successfully completed a 2-year master’s degree in informatics is expected to have achieved the following total learning outcome in the form of knowledge, skills and general competence:

Learning outcome

Knowledge

  • The candidate possesses advanced knowledge of informatics and advanced theoretical, methodical and technical knowledge within the chosen programme option.
  • The candidate possesses basic knowledge of research methods used in informatics, and in-depth knowledge of the methods used within the chosen programme option.
  • The candidate is able to apply general methods within informatics to analyse and solve new problems.

Skills

  • The candidate is able to work efficiently on the development and evaluation of data processing systems and solutions within the chosen programme option.
  • The candidate is able to assess data processing systems and solutions in relation to technical and non-technical factors.
  • The candidate is able to apply knowledge and skills to new problems and to work independently on research and development in informatics.

General competence

  • The candidate is able to communicate efficiently on problems in informatics both with other specialists in informatics as well as non-specialists.
  • The candidate is able to cooperate with others across disciplinary boundaries and to contribute effectively in multidisciplinary and interdisciplinary innovation processes.
  • The candidate is able to reflect on the role of information technology in society and the social, ethical and legal problems related to information technology.  
  • The candidate is able to acquaint him/herself with new methods and technologies in informatics and has a good basis for long-term academic development and readjustment.

Knowledge

  • The candidate possesses advanced knowledge of systems and technology used for processing, storing and managing information, as well as its areas of application and characteristic features.
  • The candidate possesses advanced knowledge of technology, methods and techniques for indexing, queries, and searches in structured data and unstructured media, such as texts.
  • The candidate possesses advanced knowledge on identification, description and classification of information with a focus on selected standards, systems and quality of information.

Skills

  • The candidate is able to specify, design, implement and evaluate systems for the storage, updating, search and analysis of structured text and other types of media.

General competence

  • The candidate has special insight in large-scale data management over a long period of time.

Knowledge

  • The candidate possesses basic knowledge on how a problem may be represented and solved in a search space.
  • The candidate possesses basic knowledge of various forms of knowledge representation and AI-methods for analysis and reasoning, and how they may be combined with classical methods and techniques, based on, for instance, probability theory.
  • The candidate possesses basic knowledge on how the human brain functions, as well as AI-methods based on this insight.

Skills

  • The candidate is able to implement systems using AI-techniques in combination with classical techniques, based on the strengths and weaknesses of each method.

General competence

  • The candidate possesses a special insight into how AI-techniques may be included in the systems of an enterprise and what opportunities and consequences this may produce.   

Knowledge

  • The candidate possesses advanced knowledge on technology and tools for implementing major software systems.
  • The candidate possesses advanced knowledge on methods for the modelling, development, quality assurance and management of major software systems.

Skills

  • The candidate is able to describe and analyse needs and requirements in order to implement a software system that will serve an enterprise well.
  • The candidate is able to work efficiently on implementing and managing software systems for businesses.

General competence

  • The candidate has special insight into the possibilities for and consequences of  digitalizing enterprises.

Knowledge

  • The candidate possesses advanced knowledge on methods for involving users in design processes.
  • The candidate possesses advanced knowledge on methods for the design, prototyping and evaluation of user interfaces, games and learning technology.
  • The candidate possesses in-depth knowledge on the role of interactive design in major IT-projects.

Skills

  • The candidate is able to identify and analyse the various needs of customers and users.
  • The candidate is able to work efficiently with tools for the design, prototyping and evaluation of user interfaces, games and learning technology.
  • The candidate is able to work effectively in user-related IT projects on requirements, design, implementation and testing.

General competence

  • The candidate has a special insight into how secure the quality of use of systems.