MSc in Decision Engineering
Specialists and managers in various industries are facing the fact that decisions are becoming more and more complex and vast amount of information and different options have to be considered. Advanced analytical management science and operations research tools and methods have become crucial for optimising organisational and system performance and improving real-time decision making. The analytical methods are characterised by their broad applicability and by the wide variety of career opportunities and work styles they embrace.
The emphasis of the Decision Engineering program at Reykjavik University is on developing models to improve business performance and applying technology innovations to improve competitiveness across many functional areas and industry sectors. It is focused on decision modelling and analysis, optimisation and simulation techniques. It is constructed in a multidisciplinary way and emphasizes both technology and management perspectives in solving problems, making decisions, and managing risks in complex systems.
Program Structure
The Decision Engineering program has duration of 2 years and is divided into 4 semesters. The first three semesters give the students a rigorous exposure to deterministic optimisation, stochastic modelling, data mining, statistics, simulation and numerical methods. The students are also expected to work on an independent research project during their studies.
A normal workload during the first three semesters is three MSc. level courses and either research work or an extra elective course for enhancing the understanding of the research topic. During the fourth semester, the students complete the research project and write a thesis. Students are encouraged to take a semester abroad during the second year.
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Year 1
Fall Optimization Methods Elective course
Spring Optimization Applications Supply Chain an Revenue Management Elective course |
Year 2
Elective Thesis preparation
Thesis
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Prerequisites
- Undergraduate degree in engineering, mathematics or physics
- Basic knowledge on optimisation
- Able to program in Matlab, C++ or other programming languages
- Undergraduate courses on Calculus, Linear Algebra, Probability and Statistics
An otherwise promising student who does not satisfy the requirements above may be accepted to the program. In such a case the student is expected to fill the aforementioned requirements during the first year of study.
Further Information
Jóhanna Fríða Dalkvist graduate administrator, johannafd@ru.is
Hlynur Stefánsson department head, hlynurst@ru.is
Eyjólfur Ingi Ásgeirsson adjunct, eyjo@ru.is