Research Clinics TY00CE75-3007 19.10.2020-30.04.2021 5 credits(T1520S6)+-
Learning outcomes of the course
Research Clinics guide the student through the Master’s Thesis project through a path that considers the different elements of research criteria.
The Master’s Thesis in Industrial Management approaches an industry-relevant business problem. It recognizes the existing knowledge around the scoped area. The relevant theory represents current best practice for the issue in question. Based on the theory, a conceptual framework is built for the study. Relevant data collection is part of every Master’s Thesis. Relevant data is collected from the company and beyond to diagnose the current state (Current State Analysis - CSA) and to develop a solution to the problem. A variety of research techniques is utilized. Data analysis takes place in a transparent manner, thus making it necessary to document the data for analysis. The results of theory and data are merged into findings. The gist of the findings is crystallized into a model, plan or other construct. This proposal is further developed into a practical action plan or roadmap for the key stakeholders.
Prerequisites and co-requisites
Bachelor’s degree and min 3 years of work experience
Research Clinics consist of seven gates. A gate is understood as:
1) Teaching of R&D methodology,
2) Meeting with the main instructor and the process instructor
3) Assignment (presentation & feedback in research clinic).
The seven gates are the following:
GATE 1. Business challenge, objective and outcome.
GATE 2. Research design, Table of contents
GATE 3. Current state analysis
GATE 4. Conceptual framework
GATE 5. Building the proposal
GATE 6. Validation of the proposal
GATE 7. Final text
Research clinics are integrated with Master’s Thesis, Applied Research Methodology and Thesis Writing Clinics.
Assessment criteria, approved/not approved.
Name of lecturer(s)
Mode of delivery
Language of instruction
19.10.2020 - 30.04.2021
19.09.2020 - 18.10.2020
Unit, in charge
School of ICT
Sonja Holappa, Thomas Rohweder, James Collins
Master's Degree Programme in Industrial Management