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  1. Studies Master's degrees in English
  2. Master of Science in Informatics (MSIT)
  3. What will you learn?

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About the programme – Master of Science (MSc) in informatics – 2-years – Trondheim

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Master of Science in Informatics

Master’s degree programme, 2 years

Master of Science in Informatics

– What will you learn?

About the programme


The programme is a 2-year full-time course of study based on knowledge, skills and general competence acquired through a bachelor’s degree in informatics or equivalent. The programme qualifies for an advanced level in the subject area and for admission to doctoral degree programmes.

The programme consists of four programme options and you have to apply for admission to one of the following. Currently, the following four programme options are offered:

  • Databases and Search
  • Artificial Intelligence
  • Software
  • Interaction Design, Game and Learning Technology

Each programme option is rooted in a research group. Some courses are compulsory in each programme option, whereas other courses are to be elected. The requirements regarding the minimum of courses that must form part of a programme option varies between the options. The choice of courses is supposed to be made in consultation with the supervisor, based on the student’s interests and the topic of the master’s thesis.

The first year of study

The first year of study includes an interdisciplinary project, a course in research method, compulsory programme option courses and advanced courses.

The second year of study

The second year of study is entirely devoted to the master’s thesis, which is prepared individually or in small groups.

 

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.
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