Transport and urban planning

To apply for this programme you must have a bachelor’s degree or equivalent in one of these fields:

• Architecture
• Demography
• Economic history
• Economics
• Engineering
• Geography
• Geoinformatics
• Geology
• Human geography
• Informatics
• Landscape Architecture
• Political science
• Psychology
• Physical geography
• Sociology
• Statistics
• Tourism science
• Urban planning

You also need

• an average grade of at least C (according to the ECTS grading scale) on your bachelor's degree
• proof of your English proficiency

More about admission to master's programmes.

You apply via Søknadsweb, where you fill in your details and upload all the required documents.

There are different application deadlines based on which country you apply from:

• 1 November: for applicants from countries outside the European Union, the European Economic Area (EEA) and Switzerland
• 1 March: early admission for applicants from the European Union, the European Economic Area (EEA) and Switzerland, and for non-EU/EEA citizens with a Norwegian national ID number residing in Norway
• 15 April: ordinary admission for applicants from the European Union, the European Economic Area (EEA) and Switzerland, and for non-EU/EEA citizens with a Norwegian national ID number residing in Norway

For students from the EU/EEA/EFTA the only cost of this programme is the semester fee (student.oslomet.no) of approximately NOK 1,000, which you pay each semester of the programme. For these students there are no tuition fees.

For students from countries outside the EU/EEA/EFTA there are tuition fees in addition to the semester fee (student.oslomet.no).

• In this study programme, you use a lot of software that only runs on the Windows operating system. We strongly recommend that you get a PC laptop, not a Mac.
• A laptop is required for 3D modeling already in the first semester, and then we recommend a "gaming laptop" that has powerful video cards that can be used for modelling. The GPU should be at least Nvidia RTX 2060, or Radeon RX5700, but as often you get gaming laptops with better graphics cards than that.
• The laptop should have 16 GB of memory or better. The processor should be Core-i5 with several cores or equivalent, preferably better. The hard disk should be 500GB or more, we recommend SSD.
• If you want to use Windows on a Mac, it requires very strong performance on the Mac, and it often costs a disproportionate amount, and often does not work very well. 

In this cross-disciplinary master’s degree programme, you will gain a unique insight into information and communication technology (ICT), digital tools and skills that are commonly used and in great demand in the industry, especially tools and skills related to transport land use planning, spatial planning, geographical information systems (GIS) and data science.

Society and authorities place increasing demands on environmentally-friendly, innovative and sustainable design of mobility and urban solutions.

Climate change in the form of increased temperatures, more precipitation and extreme weather exposes structures, infrastructure and networks to greater and less predictable stressors.

Industry and researchers highlight the need for engineers with expertise at master's degree level in transport and urban planning with knowledge of environmental issues and updated skills in new technology.

In this programme, you will achieve a high level of proficiency in sustainable urban development as well as achieving strong digital skills and knowledge.

This master’s programme has two specialisations.

The goal of this master’s programme, and both specialisations, is to qualify you to address the challenges of both professional life and scholarly enquiry as well as to become a productive member of interdisciplinary teams.

Programme description (student.oslomet.no)

This is a two-year full-time study.

The programme entails a variety of

• group work
• cross-disciplinary projects
• lectures
• exercise sessions including digital labs
• presentations
• field work
• seminars and discussions

You will be involved in peer feedback, as part of the learning process.

The scheduled study activities aim to motivate and inspire you, and induce non-organised academic work.

The work methods are intended to stimulate cooperation, individual activity, reflection and fresh thinking.

Contact with business and industry through external lecturers and projects in addition to ordinary instruction is intended to ensure a relevant and motivational approach throughout the programme.

Working as an expert researcher in urban or mobility design and planning requires a high level of expertise in the use of advanced computer programmes and simulation tools (ICT tools) for problem-solving. Computer exercises and tasks that require the use of advanced ICT tools are therefore one of the main work methods used in the study programme.

The teaching will be constantly updated to encompass new knowledge, and research articles are part of the syllabus.

You will also participate in research-related discussions and be included in ongoing research and development through projects that are part of the study programme.

Project-based learning relating to urban and mobility design and planning tasks is used to enable you to practise working on complex issues.

The study programme will prepare you for work methods used in the industry, through group work and project assignments in cooperation with partner companies in the industry.

Exchange is mainly possible in the third semester, but also in the fourth semester.

You can find information about exchange on our student website

After completing this programme, you will be especially suitable for:

• employment in urban, regional and transport planning departments in municipalities and public organisations
• jobs in firms and agencies developing stakeholder strategies, meta-data description and tech-mediation between smart-city developers and users
• consultancy firms developing strategies for smart city developments
• creation and analysis of geo-coded data, including statistical analyses
• research and evaluation work