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Specialization

Optimization

  • Years2 years
  • ECTS credits120

Introduction

Objectives and content

Companies in Bergen and the rest of Norway optimize: Manufacturers maximize their profit and minimize the costs of their production processes. Transporters seek to find the fastest driving routes. Investors try to compose portfolios with low risks and high expected returns. Ship brokers engage underwriters to create insurances with a smallest possible premium.

Only good optimizers can optimize well, and only well-designed computer algorithms can do the heavy calculations required in challenging optimization processes. In the master's programme in optimization at Department of Informatics, you will learn how to write and implement such algorithms, and learn how to apply them in practice, so that you will become one of the experts who undertake important real-world optimization tasks.

What you Learn

Learning Outcomes

A candidate who has completed his or her qualifications should have the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge:

The candidate

  • can apply theory and methods of optimization to model and solve real-life problems, within areas such as:
    • Supply chain, logistics and transportation,
    • mathematical finance, and
    • engineering.
  • can explain methodologies and algorithms in optimization and knows how to implement them.
  • has a broad knowledge of the main concepts in optimization.

Skills:

The candidate

  • can formulate practical problems from industry as optimization problems.
  • is able to plan, design and develop an independent research project in optimization.
  • can suggest or develop suitable techniques for solving optimization problems.
  • can analyze optimization problems and algorithms.
  • can develop and implement suitable techniques for solutions on a computer.

General competence:

The candidate

  • has a sound theoretical and computational basis for further studies in theory, methodologies and software in optimization.
  • is able to work independently and in groups with others.
  • has a critical and analytical view of his/her own work and that of others.
  • can demonstrate an understanding of and respect for scientific values about openness, precision, reliability and the importance of differentiating between knowledge and opinions.

Study Period Abroad

Study period abroad

You can plan study periods abroad in consultation with your supervisor as a part of the master agreement.

How to Apply

Admission Requirements

This programme is avalible for citizens from within the European Union/EEA/EFTA.

Follow these links to find the general entry requirements and guidelines on how to apply:

Semester

Autumn and spring

Admission Requirements

General admission criteria:

You must have obtained a first degree (bachelor's degree) of three or four years duration from an approved institution of higher education.

The applicant must have completed (possibly as part of the bachelor¿s degree) at least 80 ECTS of Mathematics and Informatics/Computer science, of these 80 ECTS, at least 40 ECTS must be in Informatics/Computer science, and at least 20 ECTS must be in Mathematics. If both INF100 and INF109 are part of the Bachelor's degree, the applicant will only get credit for INF100.

Starting autumn 2022: Mathematics like MAT101 and equivalent, does not count towards the required ECTS in mathematics.

To qualify for admission, the applicant must have an average grade of C or higher (according to the Norwegian grading system) in the major (of Mathematics and Informatics/Computer science) of the Bachelor's degree.

Additional credits in Mathematics and/or Informatics can be an advantage.

Documentation of proficiency in English is also necessary if you have an international background.

Note that the master's programme has a limited number of places.

See each programme option/specialization for more information about aims and content.

For international self-financing applicants:

The Master's Degree Programme in Informatics is not available for international applicants residing outside of the Nordic countries, the European Union/EEA and Switzerland.

Applicants who reside in Norway:

You apply online through the website soknadsweb.uib.no

Application deadline on soknadsweb.uib.no for students residing in Norway (with Norwegian ID-number):

For study start August: April 15.

For study start January: November 1.

For information about application and admission procedures, see this link: http://www.uib.no/en/matnat/54992/international-master-applicants-residing-norway

More information

About the programme

See full study plan