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2024/2025  KAN-CSDEO1010U  Research Methods

English Title
Research Methods

Course information
Language English
Course ECTS 7.5 ECTS
Type Mandatory
Level Full Degree Master
Duration One Quarter
Start time of the course Second Quarter
Timetable Course schedule will be posted at calendar.cbs.dk
Study board
Study Board for MSc in Social Sciences
Course coordinator
  • Bo Hee Min - Department of Business Humanities and Law (BHL)
Main academic disciplines
  • Entrepreneurship
  • Information technology
  • Methodology and philosophy of science
Teaching methods
  • Blended learning
Last updated on 24-06-2024

Relevant links
Learning objectives
  • Incorporate ethics and fundamental principles of scientific research into a research project to build entrepreneurial knowledge that is related to challenges in society.
  • Demonstrate solid understanding of principles and purposes of quantitative, qualitative, and computational methods for investigating entrepreneurial opportunities.
  • Apply good practices and competencies to plan, design, and carry out qualitative research, including critical reflections upon collection, use, and analysis of data.
  • Perform systematic data analysis using various approaches, individually and collaboratively, and present the analysis results in a manner to ensure effective communications to audiences with diverse backgrounds.
Course prerequisites
Students are expected to be present during the lessons.
Prerequisites for registering for the exam (activities during the teaching period)
Number of compulsory activities which must be approved (see section 13 of the Programme Regulations): 1
Compulsory home assignments
Number of compulsory activities which must be approved (see section 13 of the Programme Regulations): 1
Compulsory group assignments
There will be a mandatory group assignment based on a course project. The assignment is graded approved/not approved by one examiner. A passing grade (pass/fail) on this assignment is a prerequisite for participating in the regular exam.

Please note that if a student does not hand in the mandatory assignment, there will be no further tries, and the student will not have access to the ordinary exam. Nevertheless, if the mandatory assignment is submitted but not approved, or if the student is ill (documented), he or she will have a second try before the ordinary exam.
In such cases, the instructor may provide specific requirements.
Examination
Research Methods:
Exam ECTS 7,5
Examination form Oral exam based on written product

In order to participate in the oral exam, the written product must be handed in before the oral exam; by the set deadline. The grade is based on an overall assessment of the written product and the individual oral performance, see also the rules about examination forms in the programme regulations.
Individual or group exam Oral group exam based on written group product
Number of people in the group 2-3
Size of written product Max. 20 pages
Assignment type Project
Release of assignment An assigned subject is released in class
Duration
Written product to be submitted on specified date and time.
15 min. per student, including examiners' discussion of grade, and informing plus explaining the grade
Grading scale 7-point grading scale
Examiner(s) Internal examiner and second internal examiner
Exam period Winter
Make-up exam/re-exam
Same examination form as the ordinary exam
Description of the exam procedure

In order to participate in the oral exam, the written product must be handed in before the oral exam; by the set deadline. The grade is based on an overall assessment of the written product and the individual oral performance, see also the rules about examination forms in the programme regulations.

 

Oral group exam based on written group product: 2 students will be examned for 30 minutes, 3 students for 45 minutes. 
Course content, structure and pedagogical approach

This course aims to help students to develop a basic background and empirical skills to systematically investigate entrepreneurial problems and opportunities that address challenges in society. For this aim, this course explores the ethics and fundamental principles of scientific investigation that apply to all methodological approaches and introduces students to various methods that can be useful to research in strategic design and entrepreneurship (SDE).

 

Students will learn the basic knowledge in quantitative, qualitative, and computational methods and the skills to systematically collect, reflect upon, and analyze data for qualitative research on entrepreneurial insights and ideas. They will also have opportunities to develop skills in quantitative data analysis. In addition, students will learn to effectively present and communicate research findings to people from diverse backgrounds.

 

The course combines lectures, exercises, and online learning materials to help the students to learn about different methods and to identify and employ appropriate methods for research questions and practical problems of interest. The students will reflectively assess their research practices, data collection, and data usage in terms of practical and ethical considerations concerning qualitative research. In exercises, students will have hands-on experiences in conducting a research project individually and collaboratively for strategic decisions and problem-solving in SDE. Students will be introduced to the free R software and other digital tools for data management, statistical analysis, and data visualization. Additional online learning materials will be provided for practical skills that students can use in their research projects. 
Description of the teaching methods
The course consists of lectures and exercises and is a blended learning course that combines in-class and online teaching. Also, students will develop a final project throughout the course and be provided with assignments that help them to continuously assess their own understanding of methodological approaches and to practice necessary skills. The online teaching will include demonstrations and developmental feedback on assignments and final projects.
Feedback during the teaching period
Collective, peer-to-peer, or individual feedback will be provided for exercises and assignments. Students will also receive continuous feedback on their projects throughout the course. The instructor may initiate office hour meetings to discuss students' learning progress.
Student workload
Attending class 33 hours
Exam 26 hours
Preparation (incl. assignments) 147 hours
In total 206 206 hours
Expected literature

Will be posted on Canvas.
Last updated on 24-06-2024