T his programme provides participants with an introduction to the management and analysis of quantitative data using an appropriate software package. The programme explores the nature of quantitative data, the relationship between quantitative analysis and theory building, and some of the major topic areas of statistical analysis. Knowledge of these allows for a more thorough understanding of others’ research, especially as reported in journals and government publications. In addition, these techniques are used in a number of research settings, non-profit organisations, for-profit research institutes, and local, state and national government agencies. Revised programme in  2017 introduces two levels.


CBDA Level 1: General-Purpose Statistical Analysis

  • Introduction to Statistical Software
  • Descriptive Analysis of Data
  • Fundamentals Inferential Statistics
  • Comparison of Means
  • Testing Associations between Variables
  • Modelling Relationships between Variables

CBDA Level 2: Multivariate Statistical Analysis

  • Introduction to Multivariate Analysis
  • Analysis of Multivariate Responses
  • Structural Equation Modelling (SEM)
    • Covariance Based SEM (CB-SEM)
    • Variance Based SEM (VB-SEM) – (Partial Least Square SEM)

Applications & Inquiries (Call for Applications – 2023)

Computer Based Data Analysis Training Programme,
Department of Decision Sciences
Faculty of Management Studies & Commerce
University of Sri Jayewardenepura

Tel:  071 449 7670

Email:  cbda@sjp.ac.lk

Other Important Info

Target Audience
  • In-service executives and professionals who wish to enhance their effective decision making ability.
  • Postgraduate students who intend to improve their knowledge on statistics and data analysis techniques.
  • Employees of government and private research institutes who seek to develop their career.
  • University and other academic staff members who wish to enhance their knowledge and skills in quantitative data analysis.
  • Employees work in research divisions of organizations such as financial institutes, stock broking firms, insurance companies etc.to provide participants
Lectures on

Lectures will commence on February, 2023

Weekends – Saturday  9.00 a.m. to 4.00 pm


Information Technology Resource Centre
Faculty of Management Studies & Commerce

University of Sri Jayewardenepura