• Offered by School of Regulation and Global Governance
  • ANU College ANU College of Asia and the Pacific
  • Course subject RegNet
  • Academic career PGRD
  • Course convener
    • Dr Ibi Losoncz
  • Mode of delivery Online or In Person
  • Offered in Summer Session 2024
    See Future Offerings

This course is an introduction to quantitative data analysis for policy and regulation. Designed to provide a foundational overview of empirical research design and to learn elementary techniques of data analysis, the course provides participants with the skills, knowledge, and confidence to commission and utilise empirical research. The course also provides an overview of a broad range of statistical techniques and their applications to answer different types of research questions.

Each session will conclude with an in-class activity. These activities are designed to reinforce the course content and to give participants an opportunity to apply their new knowledge to their own research interests and engage in a peer review.

Learning Outcomes

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

  1. Formulate a quantitative research question and identify an appropriate research design to examine the question.
  2. Understand several types of research designs for causal inference in social sciences.
  3. Develop quantitative data analysis literacy to undertake critical evaluation of methodological issues and problems in exiting quantitative research.

Other Information

This course is targeted towards those who commission or utilise quantitative research to design, implement and analyse social policy, and achieve regulatory goals. 

Indicative Assessment

  1. Active participation in-class (10) [LO 1,2,3]
  2. Leading one in-class discussion and submitting a 750-word precis on a relevant reading. (20) [LO 2,3]
  3. Three (3) short evaluation exercises through the course, designed to assess and assist understanding of course content. (30) [LO 1,2,3]
  4. Critical analysis (1,500 words) of a peer-reviewed quantitative journal article related to a regulatory or governance topic (40) [LO 1,2,3]

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.


Students need to commit to 75 hours of total learning time made up from:

a) 15 hours of contact: 2.5 hours per week x 6 weeks; and

b) 61 hours of preparation, independent study, and assessment tasks.

Inherent Requirements

Not applicable

Prescribed Texts


Preliminary Reading

David Spiegelhalter, The Art of Statistics: Learning From Data. Pelican, 2019.

Steve Selvin, The Joy of Statistics: A Treasury of Elementary Statistical Tools and their Applications, Oxford 2019.

Alan Graham, Statistics: An Introduction. Hodder Education, 2017


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:
3 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.

3.00 0.06250
Domestic fee paying students
Year Fee
2024 $2040
International fee paying students
Year Fee
2024 $3000
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.

The list of offerings for future years is indicative only.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.

Summer Session

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
On Campus
1466 11 Mar 2024 28 Mar 2024 28 Mar 2024 24 May 2024 In Person View
1467 11 Mar 2024 28 Mar 2024 28 Mar 2024 24 May 2024 Online View

Responsible Officer: Registrar, Student Administration / Page Contact: Website Administrator / Frequently Asked Questions