From the board room to the shop floor, employees today are constantly raising, responding to, and thinking through various ethical issues surrounding data. This course goes beyond the regulatory requirements of what you can do, building an in-depth understanding of these issues to determine what you should do.
Gain foundational knowledge to identify and respond to ethical issues that arise when dealing with data. You’ll learn to identify, evaluate and mitigate ethical data issues, exploring concepts like autonomy, confidentiality and informed consent. Using a case-based approach, you’ll become confident using data ethics principles at every stage of data analysis to guide your practice, from planning, processing and sharing analyses.
This course includes a focus on data sovereignty, exploring how data ethics and Te Tiriti o Waitangi connect, looking at Māori data sovereignty, partnership and justice. You’ll walk away with a framework to guide your work with data, helping ensure that your processes are appropriate, ethical and impactful.
Our courses are flexible, enabling you to plan your study around your other commitments. You can choose to study when it suits you during the learning period (15 July - 15 September, with a one-week study break from 12 - 18 August), followed by a 2-week review period for marking and feedback (16 - 29 September).
We recommend completing around 12 hours of study a week during the learning period (excluding the study break) – you can view the course overview here for more details on assessment timings.
Module 1: Introduction to data ethics, ethics and reasoning
Become familiar with core ethical concepts and reasoning skills that will be explored in this course.
Module 2: Gathering and generating data
Explore ethical issues around privacy, confidentiality, data sovereignty and informed consent.
Module 3: Recording and storing data
Explore ethical issues around recording and storing data, such as confidentiality, privacy, and social justice.
Module 4: Processing data
Consider the limitations of algorithms, sources of bias, cultural considerations and questions of fairness.
Module 5: Sharing data and results of data analysis
Explore ethical concerns that arise when data and results are shared or not.
Module 6: Planning
Learn how to pre-emptively identify and mitigate ethical risks during project planning.
Module 7: Synthesis
Bring together your learning and apply your ethical reasoning skills in a comprehensive case study analysis.
Upon successful completion of the course you will be issued a digital badge to recognise your learning achievements. This can take up to 2 months to be delivered after the marking and feedback period.
This course is equivalent to Level 8 postgraduate study therefore applicants must meet the entry criteria as approved by NZQA, and have;
Courses are taught in English and therefore learners should be confident reading, writing and listening in English.
We recommend a laptop or desktop computer and a reliable internet connection. For most courses you'll need to download and complete assignments. These are usually available in Microsoft Word.
Course fees must be paid before learning can begin, either via online credit-card payment, or by contacting info@uconline.ac.nz to request an invoice. Please note: fixed invoice payment dates apply, so we recommend getting in touch with us as soon as possible to request an invoice, as this option is subject to availability.
Please note: Tuihono UC | UC Online has a minimum enrolment threshold that must be met to enable opportunities for interaction, discussion, and feedback. If the minimum number of enrolments required for a course is not met, enrolled students will be given the option to defer their enrolment to the next course date, or receive a refund.