Methodology for Master Thesis

STR402A Methodology for Master Thesis

Spring 2026

Autumn 2025
  • Topics

    The purpose of the course is to develop the methodological skills required to write a master’s thesis. The course consists of several assignments designed to introduce students to the different stages of the research process, including:

    • Choosing a research topic
    • Formulating research questions
    • Collecting and critically reviewing literature
    • Selecting a research design
    • Collecting and analyzing qualitative and quantitative data
    • Research quality
    • Research ethics
    • Academic writing
    • Presenting research

  • Learning outcome

    Knowledge

    The candidate:

    • is able to formulate a research question
    • has advanced knowledge of research design in the social sciences
    • has thorough knowledge of the requirements for a master's thesis

    Skills

    The candidate:

    • can analyse and critically evaluate different sources of information relevant to the master's thesis
    • can apply relevant research strategies in different methodological approaches
    • is familiar with methods for analyzing qualitative and quantitative data

    General competence

    The candidate:

    • can use their knowledge and skills to carry out a master's thesis project
    • can communicate a plan for their master's thesis project
    • is able to evaluate ethical issues at each stage of the research process

  • Teaching

    The course consists of on-campus lectures combining teaching and assignments on key topics in the research process.

    Throughout the course, students work in groups of 2-3 to develop a project proposal for a planned or hypothetical master’s thesis. The proposal follows the progress of the course, and supervision is provided along the way.

  • Compulsory Activity

    The groups (2-3 students) must submit a final project proposal and present it orally. Both the written submission and the oral presentation are compulsory activities (pass/fail) and must be approved in order to sit the exam.

    Spring: The project proposal may be submitted and presented in either Norwegian or English.

    Autumn: The project proposal must be submitted and presented in English.

  • Assessment

    Written individual digital school exam (6 hours), weight 100 %.

    Spring: The school exam is given in Norwegian, and the exam answer may be written in either Norwegian or English.

    Autumn: The school exam is given in English, and the exam answer must be written in English.

    The course requirements and assessment scheme have been changed starting spring 2026. Previously approved course requirements are no longer valid.

  • Grading Scale

    A - F

  • Literature

    Saunders M., Lewis, P., & Thornhill, A. (2023). Research methods for business students (9th ed.). Pearson Education.

    In addition, the teaching will also draw on academic articles that can be downloaded via Leganto from the course page on Canvas.

  • Permitted Support Material

    One bilingual dictionary (category 1) is permitted during the exam.

    All in accordance with Supplementary provisions to the Regulations for Full-time Study Programmes at the Norwegian School of Economics Ch.4 Permitted support materialhttps://www.nhh.no/en/for-students/regulations/https://www.nhh.no/en/for-students/regulations/and https://www.nhh.no/en/for-students/examinations/examination-support-materials/https://www.nhh.no/en/for-students/examinations/examination-support-materials/

    Regarding the use of artificial intelligence, the same guidelines apply as for the master’s thesis: https://www.nhh.no/en/for-students/masters-thesis/guidelines-for-use-of-ai-tools-in-the-work-on-master-theses/https://www.nhh.no/en/for-students/masters-thesis/guidelines-for-use-of-ai-tools-in-the-work-on-master-theses/

Overview

ECTS Credits
7.5
Teaching language
The course is taught in Norwegian in the spring and in English in the autumn.
Teaching Semester

Spring and autumn. Offered spring 2026.

Course responsible

Spring: Assistant professor Bård Fyhn, Department of Strategy and management (Main course responsible)

Associate professor Alexander Madsen Sandvik, Department of strategy and management

Autumn: Assistant professor Jonas Hammerschmidt, Department of strategy and management