Makerere University acknowledges that funds received from SIDA under the bilateral Research Cooperation enable Ugandan public universities to conduct impactful research, research capacity strengthening, institutional advancement, generate knowledge and promote research uptake for regional development, which is partly supported as part of the EDCTP programme supported by the European Union.

Error message

Deprecated function: Required parameter $plugin follows optional parameter $data in include_once() (line 480 of /home/makswed/public_html/sites/all/modules/ctools/includes/

Advanced Qualitative Data Analysis - Call for Applications

Tuesday, January 8, 2019 - 11:53
  • Qualitative Analysis

The Directorate of Research and Graduate Training in collaboration with the School of School of Statistics and Applied Economics, announces the PhD-Crosscutting Training Course:



  • Course Duration: 7th to 25th January, 2019
  • Venue: Makerere University Library 
  • Who should apply: PhD Students Maximum Number of Participants: 40
  • Latest Date of application: 27th December, 2018

This course is among the required crosscutting courses designed to help PhD students embarking on research to understand the principles and practical application of statistics for analysis of research data. The course revisits standard statistical techniques together with a comprehensive hands-on illustration of their application using a standard statistical package. By the close of the course, students are expected to have acquired the ability to choose the appropriate statistical technique(s) to use for the type of data to be collected as well as correct interpretation of the results.

Applicants should submit their applications with evidence of full admission to the PhD Program. Priority shall be given to those at data collection and analysis phase of their research project. ONLY SUCCESSFUL APPLICANTS SHALL BE CONTACTED.

Please indicate your Gender, Department, School, College, telephone and e-mail contact.  Submit electronically to: or

Deadline for application is Thursday 27th December, 2018.


Upcoming Events