• Code HUMN4005
  • Unit Value 6 to 12 units
  • Offered by Research School of Humanities and the Arts
  • ANU College ANU College of Arts and Social Sciences
  • Course subject Humanities
  • Areas of interest Cultural Studies, History, Sociology, IT in New Media, Digital Humanities
  • Work Integrated Learning Other
  • Academic career UGRD
  • Course convener
    • Dr Katrina Grant
    • Pia van Gelder
  • Mode of delivery Online or In Person
  • Offered in First Semester 2023
    Second Semester 2023
    See Future Offerings

This course is aimed at students wanting to develop digital humanities projects that are grounded in relevant critical theory and supported by robust methodologies. Digital humanities is a cross-disciplinary area of research that uses computational methodologies to answer humanities questions (such as development of online archives, digital maps, linked data) and also investigates how the critical frameworks of the humanities can be used to investigate the digital world (web science, data science, ethics and technology, etc). The course will introduce students to key issues and debates in the field, from debates over AI to digitisation in GLAM (galleries, libraries, archives, museums) and the use and misuse of big data. Students will be supported to learn a range of digital-led methodologies (for example - photogrammetry, linked data, crowdsourcing, web surveys, data analysis) that will support their own digital humanities projects. Students do not need high-level technical or computational skills.

Learning Outcomes

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

  1. navigate and contextualise issues and theory relevant to digital humanities research;
  2. apply digital humanities methodologies to their own research and writing;
  3. develop and evaluate relevant methodologies for digital humanities research;
  4. speak with confidence about methodologies, data and theory in the digital humanities; and
  5. understand how to test and evaluate relevant software and computational methods for digital humanities research.

Work Integrated Learning


This is an independent project course. Some students use it as an opportunity to develop a project linked with a specific industry or workplace based project. 

Other Information

This course is open to students from outside the digital humanities specialisation who wish to develop digital projects and/or use computational methods for humanities research.

Indicative Assessment

  1. Students taking the 6 unit version will complete the following assessment: (null) [LO null]
  2. Oral presentation (in class presentation or on forum as a video) (1000 words) (20) [LO 3,4,5]
  3. Annotated bibliography (1500 words) (20) [LO 1,3,5]
  4. Methodology Evaluation (1500 words) (20) [LO 2,3,5]
  5. Research Essay (2500 words) (40) [LO 1,2,3,5]
  6. Students taking the 12 unit version will complete the following assessment: (null) [LO null]
  7. Oral presentation (in class presentation or on forum as a video) (1000 words) (20) [LO 3,4,5]
  8. Annotated bibliography (2000 words) (20) [LO 1,3,5]
  9. Methodology Evaluation (2000 words) (20) [LO 2,3,5]
  10. Research Essay (6000 words) (40) [LO 1,2,3,5]

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 (6 units) or 260 hours ( 12 units), consisting of face-to-face meetings and e-mail correspondence with a research director; attendance at Centre for Digital Humanities Research general seminars and, with the agreement of research director, other events; the balance of the 130 (6 units) or 260 (12 units) in independent student research, reading and writing.

Inherent Requirements

Not applicable

Requisite and Incompatibility

You will need to contact the Research School of Humanities and the Arts to request a permission code to enrol in this course.

Prescribed Texts

No prescribed texts.

Preliminary Reading

Matthew K Gold (ed.). Debates in the Digital Humanities, University of Minnesota Press, 2020 https://dhdebates.gc.cuny.edu/projects/debates-in-the-digital-humanities.

The Programming Historian, https://programminghistorian.org/

Jentery Sayers (ed), The Routledge Companion to Media Studies and Digital Humanities, Routledge, 2018.


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 to 12 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
7.00 0.14583
8.00 0.16667
9.00 0.18750
10.00 0.20833
11.00 0.22917
12.00 0.25000
Domestic fee paying students
Year Fee
2023 $660 per unit
International fee paying students
Year Fee
2023 $850 per unit
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.

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
3786 20 Feb 2023 27 Feb 2023 31 Mar 2023 26 May 2023 In Person View

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
6776 24 Jul 2023 31 Jul 2023 31 Aug 2023 27 Oct 2023 In Person View

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