DPT: Data and Artificial Intelligence Ethics (Fusion On-Site)(Part-time)

Jump to: Year 1, Year 2

Year 1 Academic year: 2025/26, Starting in: September

In Year 1, students must study 80 credits.
In Year 2, students must study 100 credits.

Across the 2 years of study, students must take the following courses:

a) 20 credits of the programme compulsory core courses:

- Data and Artificial Intelligence Ethics, Law and Governance
- Data and Artificial Intelligence Ethics as a Practice

b) 40 credits worth of EFI shared core courses:

- Futures Methods
- Insights Through Data [OR] Text Remix
- Ethical Data Futures
- Building Near Futures [OR] Representing Data

c) 60 credits of optional courses. These must include:

- A minimum of 20 credits of programme specific optional courses.
- Up to 40 credits of EFI educational portfolio optional courses.

d) 60 credits of the programme compulsory core final project courses:

- Knowledge Integration and Project Planning: Data and Artificial Intelligence Ethics
- Futures Project: Data and Artificial Intelligence Ethics

The programme compulsory core courses and the shared core courses introduce students to skills and concepts that will assist them when studying optional courses and the project. Therefore, we encourage students to take the two programme compulsory core courses during year one if possible.

Please aim to ensure that your credits are equally balanced across both semesters in a year. This is to ensure student workload is balanced.

Compulsory courses

Data and Artificial Intelligence Ethics, Law and Governance (fusion on-site)

Must be taken during Semester 1

Futures Methods (fusion on-site)

Must be taken during Semester 1

Course options

This is a programme compulsory core course. It may be studied in either Year 1 or Year 2 of the programme.

Selected courses must be taken during Semester 2

Data and Artificial Intelligence Ethics as a Practice (fusion on-site)

AND

EFI Postgraduate Taught students must take a minimum of 20 credits (2 courses) from this collection across both years of study.

Any course may only be taken once.

We would recommend that course credits should be equally split across semesters 1 and 2. This is to support students in managing an equal workload balance during their studies. However, we appreciate that this may not always be possible (or preferrable) for part-time students.

Please note that the following courses are also available as programme optional courses to students on other EFI programmes. This means that available spaces may be limited.

- Coloniality of Data
- Digital Influence
- Education, Personalisation and Surveillance

Narratives of Digital Capitalism (fusion on-site)

Digital Influence (fusion on-site)

Coloniality of Data (fusion on-site)

Education, Personalisation and Surveillance (fusion on-site)

Ethics of Robotics and Autonomous Systems (fusion on-site)

Algorithmic Bias, Fairness and Justice (fusion on-site)

Translational Data and Artificial Intelligence Ethics (fusion on-site)

Environmental Sustainability and Artificial Intelligence (fusion on-site)

Working with Big Data to Improve Children's Safety and Wellbeing (fusion on-site)

AND

Please note that EFI Postgraduate Taught students may only select from courses worth 10-credits within this collection.

Students enrolled on the owning programme of any course will be given priority. Therefore, we cannot always guarantee that you will be successful in gaining a space if student demand is high.

AND

Selected courses must be taken during Semester 1

Text Remix (fusion on-site)

Insights Through Data (fusion on-site)

AND

Selected courses must be taken during Semester 2

Representing Data (fusion on-site)

Building Near Futures (fusion on-site)

AND

This is an EFI shared core compulsory course. It may be studied in either Year 1 or Year 2 of the programme.

Selected courses must be taken during Semester 2

Ethical Data Futures (fusion on-site)

Year 2 Academic year: 2025/26, Starting in: September

In Year 1, students must study 80 credits.
In Year 2, students must study 100 credits.

Across the 2 years of study, students must take the following courses:

a) 20 credits of the programme compulsory core courses:

- Data and Artificial Intelligence Ethics, Law and Governance
- Data and Artificial Intelligence Ethics as a Practice

b) 40 credits worth of EFI shared core courses:

- Interdisciplinary Futures
- Insights Through Data [OR] Text Remix
- Ethical Data Futures
- Building Near Futures [OR] Representing Data

c) 60 credits of optional courses. These must include:

- A minimum of 20 credits of programme specific optional courses.
- Up to 40 credits of EFI educational portfolio optional courses.

d) 60 credits of the programme compulsory core final project courses:

- Knowledge Integration and Project Planning: Data and Artificial Intelligence Ethics
- Futures Project: Data and Artificial Intelligence Ethics

The programme compulsory core courses and the shared core courses introduce students to skills and concepts that will assist them when studying optional courses and the project. Therefore, we encourage students to take the two programme compulsory core courses during year one if possible.

Please aim to ensure that your credits are equally balanced across both semesters in a year. This is to ensure student workload is balanced.