Université de Genève Faculté de traduction et d'interprétation Interpreting Department Virtual Institute PhD Login

Program overview

Doctoral Studies » Program overview

Our PhD program follows a modular structure. During the first year of the three-year program, students acquire the tools necessary to complete their project in six general modules and four specialized tracks.

MODULE

TITLE

DESCRIPTION

 1

The research cycle & the nature of research

This module introduces the student to research as a scientific enterprise that should be objective, controlled and checkable. This includes an introduction to scientific method - the empirical method and the hypothetico-deductive method, and covers the various stages of the research cycle. Students will also develop a full understanding of research ethics.

 2

Data & data acquisition

In this module students learn about data, how to measure and classify them, how to describe them and how to visually illustrate them. This module also includes basic graphing in Excel.

 3

Introduction to research design

The design covers the overall structure and strategy of the research project and students learn how to implement a research project once the research question has been identified. This includes a more detailed treatment of research methods, and includes discussion of observational methods, survey design and experimental methods.

 4

Experimental methods

In this module students learn about research methods in general and the experimental method in particular, their differences and indications for their application. Students learn to identify dependent and independent variables, how to constitute experimental and control groups, and familiarize themselves with between-subject and within-subject experimental designs.

 5

Qualitative & mixed methods

This module conveys a better understanding of the potential and limitations of qualitative methods. Students become familiar with mixed - qualitative/quantitative - methods and understand the principles and practices from beyond the quality-quantity divide.

 6

Statistics

In this module students learn about the most frequently used inferential methods and when and how to apply them. They also learn how to interpret statistics and how to employ them for the purpose of relating different findings. 


TRACK

TITLE

DESCRIPTION

 1

Memory & attention

Details to be provided by external faculty. 

 2

Expertise

Details to be provided by external faculty.

 3

Socio-cultural approaches

Details to be provided by external faculty. 

4

Virtual learning

Details to be provided by external faculty.


News & Events

Registration now open for the FTI Research Methods Winter School II 2016. This Winter School will provide participants with the necessary skills to design and complete an empirical research project, and give them ample opportunity to discuss their projects with experienced researchers. Click here for more details.