• Offered by School of Sociology
  • ANU College ANU College of Arts and Social Sciences
  • Course subject Sociology
  • Areas of interest Gender Studies, Policy Studies, Social Research, Sociology
  • Academic career UGRD
  • Mode of delivery In Person

In today's globalized world, fostering inclusive and equitable cultures in workplaces and educational institutions is more critical than ever. The Australian National University (ANU) recognizes the significance of creating a diverse and inclusive environment and is committed to becoming a national leader in this area. This course is designed to review the latest research on institutional equity, diversity, equity, and inclusion (EDI), enabling students to familiarize themselves with best practices in addressing any remaining barriers.

The course is based on sociological concepts of gender, ethnicity, socio-economic status, social closure and intersectionality, which serve as the foundation for this research. Additionally, the course teaches students quantitative methods to advance inclusion and diversity, with two distinct streams available: the beginner stream and the application stream for students with prior exposure to computational and statistical methods.

The main objective of this course is to enable participants to learn, consolidate and apply a range of quantitative methods, including the use of appropriate software. The unit adopts a student-centred approach, with teaching and learning centred around a research project designed and completed throughout the course. By the end of the semester, students will have acquired the practical skills and theoretical knowledge necessary to advance EDI practices in diverse institutional settings.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

  1. critically engage with the leading methodologies used in studies of equity, diversity and inclusion;
  2. understand the study design and ethical considerations in research on equity, diversity and inclusion;
  3. design a small EDI project using appropriate methodologies and computational approaches;
  4. utilise appropriate computational software to complete an EDI research project; and
  5. collect primary data or analyse secondary data and present the project's findings to non-technical audiences.

Other Information

Students will have an opportunity to learn and consolidate their basic R coding skills as well as use other software, including but not limited to Stata to interrogate visual, numerical and textual data.

Indicative Assessment

  1. Research Project Proposal (20) [LO 2,3,4]
  2. Research Project Report (40) [LO 1,2,3,4,5]
  3. Lectures and Readings Quizzes 2 x 10% (20) [LO 1,2]
  4. Workshop Participation (20) [LO 1,4,5]

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.


130 hours of total student learning time made up from:

a) 36 hours of contact over 12 weeks: 12 hours of lectures and 24 hours of interactive workshops 

b) 96 hours of independent student research, data collection and analysis, coding, reading and writing

Inherent Requirements

Not applicable

Requisite and Incompatibility

To enrol in this course you must have completed 12 units of 1000 level ANU courses; or permission of the convener.

Prescribed Texts

Not applicable.

Preliminary Reading

Bohnet, I. (2016). What Works: Gender Equality by Design. Harvard University Press.

Cech, E. A. (2022). The Intersectional Privilege of White Able-Bodied Heterosexual Men in STEM. Science Advances, 8(24), 1-14.

Imai, K. (2018). Quantitative Social Science: An Introduction. Princeton University Press.

Salganik, M. J. (2019). Bit by Bit: Social Research in the Digital Age. Princeton University Press.

Walter, M & Suina, M. (2019) Indigenous Data, Indigenous Methodologies and Indigenous Data Sovereignty. International Journal of Social Research Methodology, 22:3, 233-243

Assumed Knowledge

All students possess numeracy skills at the upper secondary education level. Students must be prepared to learn or consolidate their basic programming in R, Stata or a similar software package.


Tuition fees are for the academic year indicated at the top of the page.  

Commonwealth Support (CSP) Students
If you have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). More information about your student contribution amount for each course at Fees

Student Contribution Band:
Unit value:
6 units

If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Where there is a unit range displayed for this course, not all unit options below may be available.

6.00 0.12500
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.

There are no current offerings for this course.

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