Course description for 2026/27
Econometrics
FIN5000
Course description for 2026/27

Econometrics

FIN5000
The course provides an introduction to Econometrics. The course focuses on applications of econometric techniques and on empirical examples. The course provides a solid understanding of the relationship between several variables and how this relationship can be analyzed in the best possible way. The course will also provide a thorough understanding of how econometric techniques are used. The course also provides an introduction to how to use R to write complete project assignments, illustrate results with figures and tables, as well as refer to and provide a summary of previous scientific works.
It is possible to apply for admission to the course as a single course. There are reservations about the available capacity on the course. The applicant must meet the current admission requirements for the Master of Science in Business.

Knowledge

Students:

  • Has in-depth knowledge of elementary econometric methods
  • Ability to apply econometric models across topics in business economics
  • Has in-depth knowledge of research methodology within econometric methods for both cross-sections, time series and panel data.
  • Can apply econometric models in new areas of economics and finance
  • Can analyze and interpret estimated regression coefficients for both simple and multiple regression analysis
  • Can analyze econometric issues.

Skills

Students:

  • Can analyze and critically evaluate existing econometric theories, methods and interpretations of information sources and data sets
  • Can use and analyze relevant methods for research in econometrics in an independent way
  • Can, based on own analyzes and calculations, structure and formulate professional reasoning and arguments
  • Can carry out and produce independent analytical work in econometrics under supervision and in line with research ethics norms.
  • Can use analytical and digital tools in practical work.

General competence

Students:

  • Can analyze relevant issues in finance and economics where econometric methods are used
  • Can apply and easily acquire skills in new digital tools and analysis methods.
  • Can carry out independent econometric work with calculations, interpretations of results, discussion of relevant research work in one and the same document
  • Can convey extensive independent econometric work and masters econometric forms of expression
  • Can communicate econometric issues and analyzes with people with and without econometric background
  • Can contribute to innovation and innovative solutions in economics and finance by using ecometric methods
Paid semester fee and syllabus literature. It is also required that students have a laptop at their disposal.
Mandatory for the main profile in Finance.
Lectures and practical sessions. The practical sessions are on site, but the lecture part may be delivered online via Zoom.
The study programme is evaluated annually by students by way of course evaluation studies. These evaluations are included in the universitys quality assurance system.

Composite assessment (letter grades)

  • Mandatory task, counts 0/100 of the grade, grade rule approved / failed.
  • Assignment (home exam) - individual, 4 weeks, 40/100 of the grade (letter grades).
  • School exam, 4 hours, 60/100 of the grade, (letter grades).

Reservations are made for changes in the assessment form. The correct assessment form is displayed in StudentWeb when registering for the relevant subject and discusse in the first lectures.

Simple calculator. Two bilingual paper dictionaries are allowed.

Generating an answer using ChatGPT or similar artificial intelligence and submitting it wholly or partially as one's own answer is considered cheating. Students must otherwise comply with Nord University's guidelines for the use of generative artificial intelligence (AI) in studies.