Excerpt from course description

Mathematics and Quantitative Methods

Introduction

Please note that this is a preliminary course description. The final version will be published in June 2026.

The language of mathematics is extensively used to analyze problems in economics and finance, and mathematical models, theories, and methods are extensively used to solve problems. The mathematical requirements of a graduate student go beyond the material usually taught in undergraduate courses, and this course will teach the beginning graduate student more advanced mathematical models, theories, and methods. It will also introduce the students to Python and teach them fundamental statistical methods. The course is taught in the first semester of the master program. Topics include the central limit theorem, confidence intervals and hypothesis tests, calculus in several variables and its use in optimization problems with or without constraints, and some mathematical models for solving concrete problems that are relevant in a business context.

Course content

  • Introduction to Python
  • The central limit theorem
  • Confidence Intervals and hypothesis tests
  • Calculus in several variables
  • Optimization in several variables with and without constraints
  • Mathematical models and their use in solving concrete problems

Disclaimer

This is an excerpt from the complete course description for the course. If you are an active student at BI, you can find the complete course descriptions with information on eg. learning goals, learning process, curriculum and exam at portal.bi.no. We reserve the right to make changes to this description.