Program Overview

Course Overview

Course Description

The Applied Data Analysis course teaches practical skills necessary for the analysis of socioeconomic data, a core task of economists. It covers all steps of applied data analyses, including identification of relevant data sources for economic research questions, processing and analyzing data, presenting and interpreting results, and understanding the merits and limitations of data-based analyses.

Course Details

Course Content

This course is recommended for students who consider using data-based analyses in their Master thesis. The course content includes:

• Identification of relevant data sources for economic research questions
• Processing and analyzing data
• Presenting and interpreting results
• Understanding the merits and limitations of data-based analyses

Learning Outcome

Knowledge

• How to identify relevant data sources for economic research questions
• How to store, handle, convert, and combine datasets from different sources
• How to assess data scope and data quality
• How to conduct basic econometric analyses

Skills

• Handle datasets using a common programming language such as R
• Summarize data in meaningful ways
• Apply basic econometric methods to actual data
• Present and interpret results from econometric analyses

General Competence

• Conduct data-based economic analyses using statistical software
• Understand how the nature, scope, and quality of datasets set limitations for the validity of empirical results

Course Structure

Learning Methods and Activities

• 2 hours of lectures every week
• The course has compulsory activities, with specific requirements announced at the beginning of the term
• Term papers can be written as a joint project
• The course is an optional master's course and is not taught every semester

Compulsory Assignments

• Mandatory activity

Evaluation

• Compulsory activity must be approved to take the exam

Admission and Requirements

Specific Conditions

• Admission to a programme of study is required: Economics (MSÏK) or Economics (MSÏK/5)

Recommended Previous Knowledge

• Bachelor's degree in Economics

Required Previous Knowledge

• None

Course Materials and Subject Areas

Course Materials

• Announced at the beginning of the term

Subject Areas

• Economics
• Social Sciences

Examination

Examination Arrangement

• Home examination
• Grade: Letter grades

Ordinary Examination - Autumn 2025

• Home examination
• Weighting: 100/100
• Date: Release and submission time - 14:00
• Duration: 48 hours
• Exam system: Inspera Assessment

Ordinary Examination - Spring 2026

• Home examination
• Weighting: 100/100
• Date: Release and submission time - 14:00
• Duration: 48 hours
• Exam system: Inspera Assessment