Modelling and Data Analysis (master's two years)
Master
In Oslo (Norway)
Description
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Type
Master
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Location
Oslo (Norway)
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Duration
2 Years
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Start date
Different dates available
Modelling and Data Analysis (MoD) is a Master’s degree programme in which you learn to use and develop various tools based on statistics, mathematics and informatics. Tools of this kind are increasingly used to solve problems within various fields such as medicine, bio-technology, industry, social economics, finance and insurance.
Facilities
Location
Start date
Start date
About this course
General learning outcomes
• In-depth knowledge of a broad range of methods and techniques for analysing and solving problems within applicable fields.
• Good theoretical insight and the ability to apply theory to the development of methods and techniques for solving problems.
Target knowledge and understanding
• In-depth knowledge within a limited field of specialisation covered by the programme of study
• In-depth knowledge of fields that border on your chosen speciality.
• An understanding of the relationship between a concrete problem and the mathematical model describing the problem.
Target skills
• The ability to approach complex problems, reveal structures and clarify problems, discover suitable analytical and/or numerical methods and interpret the solutions.
• Good practical skills in the use of relevant software.
• The ability to work with other academic specialists, not necessarily from your own discipline.
• The ability to express yourself in a precise and scientific manner, in both written and spoken Norwegian and English.
• The ability to make active use of existing literature to access the work of others and use this to support your own work.
• The ability to independently evaluate the suitability of a mathematical model to a particular problem.
You will be able to find work both in the industrial or research oriented sector after having completed the Master’s programme in Modelling and Data Analysis. Which area your education is best suited for depends on which programme option you have chosen.
Some examples of potential areas of work are
finance,
insurance,
biotechnology and other technological industry,
pharmaceutical companies,
oil industry,
environment monitoring,
health administration and hospitals and
several types of consultancy work.
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Subjects
- Data analysis
- Statistics
- Mathematics
- GCSE Mathematics
- Tools
- Increasingly
- Biotechnology
- Industry
- Social economics
- Finance and Insurance
- Finance
Course programme
For recommended study plans, please see the programme option descriptions. Some programme options contain obligatory courses which must be taken in the beginning of the programme. The remaining courses can be chosen among optional courses in mathematics, statistics and informatics. See each programme option for information on recommended optional courses.
Content and structure of each programme option:
4. semester
- Master's thesis
- Master's thesis / Master's course
- Master's course
- Master's thesis / Master's course
- Master's course
- Master's course
- Master's course
- Master's course
- Master's course
- Short thesis (30 ECTS credits): The thesis is completed during the 4th semester. The thesis topic is set in discussion with your supervisor during the 3rd semester.
- Long thesis (60 ECTS credits): The thesis is usually commenced upon already during the second semester, 10 ECTS credits the 2nd semester, 20 credits the 3rd semester and 30 credits the 4th semester (see table). In some cases, the programme can be structured differently, e.g. that the thesis work takes place in the last two semesters only.
Modelling and Data Analysis (master's two years)