- Years2 Years
- ECTS credits120
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
A candidate who has completed his or her qualifications should have the following learning outcomes defined in terms of knowledge, skills and general competence:
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
- can explain methodologies and algorithms in optimization and knows how to implement them.
- has a broad knowledge of the main concepts in optimization.
- 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.
- 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
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:
- Citizens from within the European Union/EEA/EFTA (1 March)
- Nordic citizens and applicants residing in Norway (15 April)
Autumn and spring
The master's programme builds on a bachelor's degree from the Department of Informatics, or a bachelor's degree and at least 80 ECTS of Mathematics and Informatics/Computer science.
Bachelor's degrees from UiB that qualify:
- Bachelor's degree from Department of Informatics, UiB (BAMN-BINF, BAMN-DSIK, BAMN-DTEK, BAMN-DVIT, BATF-IMØ, BAMN-INF)
- Bachelor's degree in Information and Communication Technology (IKT) with at least 15 ECTS (at least two courses for at least 7,5 ECTS each) of elective Mathematics
- Bachelor's degree in Cognitive Science (BASV-KOGNI) with specialization in Informatics
- Bachelor's degree in Artificial Intelligence (BASV-AIKI) qualifies, if you have at least 80 ECTS of Mathematics and Informatics/Computer Science. Out of these 80 ECTS, at least 40 ECTS must be in Informatics/Computer science, and at least 15 ECTS must be in Mathematics. One course in Statistics can count towards Mathematics (except STAT100). MNF130 and equivalent counts as Informatics. INF-courses and INFO-courses with credit reduction towards INF-courses count as informatics.
Bachelor's degrees that qualify
- Bachelor's degree in Computing from HVL (Western Norway University of Applied Sciences)
- Bachelor's degree in Information Technology from HVL
- Bachelor's degree in Communication Systems from HVL
Other bachelor's degrees might qualify if you have at least 80 ECTS of Mathematics and Informatics/Computer Science. Out of these 80 ECTS, at least 40 ECTS must be in Informatics/Computer science, and at least 15 ECTS (at least two courses with 7,5 ECTS each) must be in Mathematics. If both INF100 and INF109 are part of the Bachelor's degree, the applicant will only get credits for INF100. One course in Statistics can count towards Mathematics (except STAT100). MNF130 (and equivalent) counts as Informatics.
For international self-financing applicants:
The Master's programme is not available for international applicants residing outside of the Nordic countries, the European Union/EEA and Switzerland.
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