Congratulations on taking the next step towards further study! Applications to enrol into our Postgraduate Diploma in Applied Data Science are now open for our 2 February start date. If you're interested in studying at a later date, please sign up for enrolment updates.
When you apply to enrol into a programme with Tuihono UC | UC Online you're applying to Te Whare Wānanga o Waitaha | University of Canterbury. This means you'll be part of the University of Canterbury student body, and are eligible for a wide range of support and digital services as detailed here.
Get your documentation ready
Before you start your application to enrol in the Postgraduate Diploma in Applied Data Science you'll need to prepare these documents:
- Verified evidence of your identity, such as a certified copy of your birth certificate, or a certified copy of the photo page in your passport. There are additional requirements depending on your visa status, or if you have legally changed your name - for more information view full verification requirements.
- Proof of your academic qualifications, such as a transcript or your UC student ID number if you studied your undergraduate degree with us. If you graduated with a bachelor's degree from another university, you will need to request a digital copy of your transcript through them.
- Proof of your professional work history, such as a CV or resume, including the years that you previously studied at tertiary institutes.
- For international learners: proof of your English language proficiency.
It's also helpful to have:
- Your National Student Number on hand - if you have one. You can locate your number through the NZQA website.
- Prepared two short paragraphs explaining what interests you about studying applied data science, and what you'd like to achieve with this programme.
How many courses should I choose?
The number of courses you choose depends on if you would like to study full-time or part-time, and how you are financing your study.
Length of study:
Full-time: you will need to take two courses (studying approximately 37.5 hours per week) each term
Part-time: you will need to take one course (studying approximately 18.5 hours per week) each term
Financing:
StudyLink Student Loan: if you’re using StudyLink to cover your tuition fees, you need to add at least two courses (in order to meet the StudyLink threshold) and we recommend selecting all of your 2026 courses, so you do not need to update your enrolment.
- Self-funding: all courses added to your enrolment must be paid before the first course starts. This means if you are self-funding, you may only want to add your first term's course(s) to your enrolment for now, so that you only need to pay for one term at a time. You can then add your next course as this new term approaches.
Cap & minimum enrolment threshold
A minimum number of learners is needed for effective interaction and feedback, while a maximum cap of learners ensures high quality learning and support. If the minimum number of enrolments required for a course isn’t met, or the maximum cap is exceeded, learners will be given the option to defer their study or receive a refund.
If you wish to complete your studies part-time, the courses you will need to search for and select are:
- COSC480 - Computer Programming (2 February – 5 April 2026)
- DATA401 - Introduction to Data Science (27 April - 28 June 2026)
- MBIS623 - Data Management (13 July - 13 September 2026)
- STAT462 - Data Mining (28 September - 29 November 2026)
Please note: the specific course codes to search for COSC480, DATA401, MBIS623, and STAT462. The correct courses to select will then be shown in the course selector as follows: COSC480-26X9 (O), DATA401-26X2 (O), MBIS623-26X3 (O) and STAT462-26X4 (O).
If you wish to complete your studies full-time, the courses you will need to search for and select are:
- DATA415 - Computational Social Choice and COSC480 - Computer Programming (2 February – 5 April 2026)
- DATA401 - Introduction to Data Science and DATA420 - Scalable Data Science (27 April - 28 June 2026)
- MBIS623 - Data Management and STAT448 - Big Data (13 July - 13 September 2026)
- DIGI405 - Texts, Discourses and Data and STAT462 - Data Mining (28 September - 29 November 2026)
Please note: the specific course codes to search for DATA415, COSC480, DATA401, DATA420, MBIS623, STAT448, DIGI405 and STAT462. The correct courses to select will then be shown in the course selector as follows: DATA415-26X1 (O), COSC480-26X9 (O), DATA401-26X2 (O), DATA420-26X2 (O), MBIS623-26X3 (O), STAT448-26X3 (O), DIGI405-26X4 (O) and STAT462-26X4 (O).
Submit your StudyLink application ASAP
If you’re planning on using a StudyLink student loan to finance your study, we recommend applying as soon as possible. StudyLink can take up to a month to process your application, so submitting early gives you the best chance of having everything ready for the start of your learning.
Need help with your application?
We recommend allowing up to an hour to complete the application process. If you get stuck along the way, our team are here to help:
- info@uconline.ac.nz
- + 64 3 369 0600
You can also download our handy enrolment guide (PDF) here with screenshots and more detailed instructions for support along the way.
Let's get started! Begin your application to enrol now
Please complete this form so we can support you if needed. After submitting, you’ll be prompted to log in or create a new account in the Tuihono UC | UC Online enrolment portal. Once logged in, you can choose your qualification and provide your personal details to complete your application.
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