Home

Education

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

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.

Your bachelor's degree must include minimum 20 ECTS of Mathematics and minimum 60 ECTS of Informatics/Computer science. If both INF100 and INF109 are part of the Bachelor's degree, the applicant will only get credit for INF100.

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 abroad.

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.

More information

About the programme

See full study plan