Why choose this programme?
The two year master’s degree programme in Economics is a full time programme, with three different programme options, that provides rigorous training in modern economics. Covering a broad range of topics from micro- and macroeconomics, methodology and demography.
By choosing this programme you will get the opportunity to take courses taught by some of Norway’s leading economists and be part of an academic environment that prides it self on being on the forefront of economic research.
Through this programme you will get a good foundation in core economic disciplines like micro- and macroeconomics, econometrics and mathematics, combined with elective courses that offer themes and topics that are based on the research interests of the academic staff. This means that you will have a choice of courses with a diversity of topics like; Demography, International Economics, Behavioural Economics, Economic Policy, Industry Markets and Competition, Money Credit and Finance, Growth and Development, Resources Energy and Environment. This diversity of topics makes it possible to tailor you degree according to your own academic interests.
You may take part of your degree abroad at one of our partner Universities. What about a semester in Shanghai, Essex, Barcelona or San Diego (USA)? As a master’s student in Economics you will be able to choose from UiO’s long list of exchange agreements with Universities across the world.
The 2-year master’s degree programme in Economics has the following three programme options that encompass both compulsory and optional courses. You sign up for one of these programme options in StudentWeb during your first semester of the programme.
- Environmental-, Resource- and Development Economics
Read more about the differences on the programme structure.
The programme is suitable for students with a bachelor’s degree in Economics or equivalent.
With a master’s degree in economics from the University of Oslo you are expected to have comprehensive knowledge of modern economics as an academic discipline. You are also expected to be able to use theoretical and empirical methods to analyse economic problems and to plan and carry out a research project.
After having completed the master’s degree programme you should have the following knowledge, skills and competences.
- understanding at an advanced level about the complex economics mechanism that characterise modern society
- in depth knowledge about economic theory regarding the utilisation and allocation of resources, including labour, natural resources and capital
- in which way the economy is influenced by economic policy, technological advances and demographic conditions
- analyse how markets for goods and services function and how income is generated and distributed. Such analyses may have a national and international perspective, and a time frame that may be either short-term (business-cycles and crises) or long term (economic growth)
- to formulate mathematical economic models, as well as how to quantify model parameters from data from Norway or other countries
- use of econometric- and mathematical methods
- insight into special fields of your choice, like energy economics, competition policy, industrial economics, financial markets, environmental and resource economics, development economics and international trade and globalisation
- analyse existing economic models and evaluate their relevance for theoretical and practical problem solving
- use relevant models and methods, independently but under supervision,
- undertake applied work and research projects in economics
- concretise economic problems to be analysed and understand how the theoretical framework and actual empirical conditions are connected
- undertaking specialised and concrete problem solution on your own
- analysing relevant economic literature, concretise economic problems, and have insight into how you may draw the connection between theory and empirical conditions
- using economic models and communicating both the underlying assumptions of these models, as well as the results from theoretical and empirical model-based analysis
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