Crit Data Prac: Race, Gender, Sexuality (P5095)
Note to prospective students: this content is drawn from our database of current courses and modules. The detail does vary from year to year as our courses are constantly under review and continuously improving, but this information should give you a real flavour of what it is like to study at Sussex.
Critical Data Practice: Race, Gender, Sexuality
Module P5095
Module details for 2026/27.
30 credits
FHEQ Level 7 (Masters)
Module Outline
This module introduces how race, gender, sexuality, class, disability, and other social identities shape and are shaped by technology. Students will examine the historical, cultural, and societal forces behind algorithmic bias, and consider who is included and excluded in datasets and computational systems. Students will also develop a critical lens to examine emerging technologies, understanding the implications of developments in AI and big data on race, gender, and sexuality. Seminars draw on critical perspectives and histories of resistance in computing, while workshops offer hands-on experience with creative coding, data curation, and storytelling. Students will develop critical digital literacy and practical skills to question dominant narratives in computing.
Module learning outcomes
Evaluate debates and approaches to techno-feminism
Develop and evaluate practice and research skills in computational practice (e.g. coding, hacking)
Produce self-directed praxis work with reference to a range of scholarly sources and conceptual frameworks.
Demonstrate a critical awareness of the theoretical implications of computational practice in various cultural contexts.
Collaborate productively in the planning and execution of practice work.
| Type | Timing | Weighting |
|---|---|---|
| Coursework | 100.00% | |
| Coursework components. Weighted as shown below. | ||
| Portfolio | A2 Week 1 | 100.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
| Term | Method | Duration | Week pattern |
|---|---|---|---|
| Spring Semester | Seminar | 1 hour | 111111111110 |
| Spring Semester | Workshop | 2 hours | 111111111110 |
| Spring Semester | Workshop | 3 hours | 111111111110 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
Dr Cecile Chevalier
Assess convenor, Convenor
/profiles/235751
Dr Em Harrison
Assess convenor
/profiles/345942
Dr Irene Fubara-Manuel
Assess convenor
/profiles/334950
Please note that the University will use all reasonable endeavours to deliver courses and modules in accordance with the descriptions set out here. However, the University keeps its courses and modules under review with the aim of enhancing quality. Some changes may therefore be made to the form or content of courses or modules shown as part of the normal process of curriculum management.
The University reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.