Program overview
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Last updated on 2025-05-08

Program overview

Program Overview

The Graduate Diploma in Social Statistics and Data Analysis (SSDA GDip) at Carleton University is a pioneering program in Canada, specifically designed for social science audiences. This program focuses on providing education and training in quantitative social research methods and the analysis of survey data. The emphasis is on the applied aspects of statistics, equipping students with the necessary skills to effectively conduct research and analyze data.

 

Students will gain comprehensive knowledge in various facets of the quantitative research process, including planning, design, data collection, analysis, and communication of research results. The program is particularly beneficial for those in fields such as psychology, public policy, political science, cognitive and health sciences, and engineering.

Program Structure

The SSDA GDip is structured to accommodate both current graduate students and professionals seeking to enhance their skills. Key details of the program include:

  • Program Length: 1 to 2 years
  • Entry Terms: Fall
  • Pathway Options: Coursework
  • Type: Available for both Type 2 (current master's or doctoral students) and Type 3 (non-enrolled professionals)

 

This program does not require a statistics course prerequisite, making it accessible to a broader range of students. The concurrent program (Type 2) is designed to deepen understanding for academic or employment purposes, while the direct-entry option (Type 3) is tailored for professionals looking to upgrade their knowledge in quantitative social research and data analysis.

Featured Experiences

  • Hands-on training in quantitative research methods.
  • Focus on applied statistical techniques relevant to social sciences.
  • Utilization of common and specialized statistical software for data analysis.
  • Experiential learning opportunities to enhance employability.

Career Options

Graduates of the SSDA GDip can pursue various career paths in Canada, including:

  • Data Analyst: Analyze and interpret complex data sets to inform business decisions.
  • Research Coordinator: Oversee research projects, ensuring data collection and analysis are conducted effectively.
  • Policy Analyst: Evaluate and develop policies based on statistical data and research findings.
  • Survey Researcher: Design and conduct surveys to gather data for social research.
  • Statistical Consultant: Provide expert advice on statistical methods and data analysis to organizations.

 

DISCLAIMER: The information above is subject to change. For the latest updates, please contact LOA Portal's advisors.

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