Master of Applied Data Science
- Degree Structure - Start In
- Semester 1 or 2 (February or July)
Change careers with study in collecting and analysing data to inform decision making.
180
Data science is a new profession emerging along with the exponential growth in size and availability of 'big data'. A data scientist provides insight into future trends from looking at past and current data. Data science is an essential skillset in a world where everything from education to commerce, communication to transport, involves large-scale data collection and digitalisation.
This conversion Master's is designed to accommodate students from a range of backgrounds (not just those with Mathematics, Statistics, and Computer Science majors), who want to enhance or build their data science capabilities and combine these with the skills and knowledge they bring from their previous studies. So long as you are data-hungry and industry-aware; this degree can add to your employability and career prospects.
The Master of Applied Data Science is offered on campus, by distance, or online through Tuihono UC | UC Online.
Potential students can come from a variety of undergraduate backgrounds. You will need a B Grade Point Average in 300-level bachelor's degree courses, or have evidence of achievement at postgraduate level.
If English is your additional language, you are also required to meet UC's English language requirements.
For the full entry requirements, see the Regulations for the Master of Applied Data Science or use the admission requirements checker.
You can apply online at myUC.
See Admission and enrolment for all information on enrolling at UC.
The degree will comprise a minimum of 180 points as follows:
You can study this qualification full-time in a minimum of 1 year, and part-time in a maximum of 5 years.
The MADS is offered on campus, by distance, or online through Tuihono UC | UC Online.
For full requirements, see the Regulations for the Master of Applied Data Science.
You will be required to enrol in all these foundational courses unless there is evidence of your prior learning in the fundamentals of data science (exemptions must be approved by the Programme Director).
The courses are:
All students take the following courses (unless the Programme Director approves a substitution).
You should complete the foundation course DATA401, or have a background in statistics, before enrolling in STAT462 and STAT448.
You should also complete the foundation course COSC480, or have a background in Python computer programming, before enrolling in DATA420 and DIGI405.
Complete one of the following:
The remaining 30 points will be any relevant 400 or 600-level courses in the following subjects:
With approval from the Programme Director and the relevant Head of Department, you may substitute these courses with courses from other relevant subjects.
Some examples of elective courses students have enrolled in recently include:
2024 tuition fee estimate: $13,316 (180 points)
2025 tuition fee estimate: $14,115 (180 points)
2024 Special Programme Fee: $52,500 (180 points)
2025 Special Programme Fee: $62,100 (180 points)
According to industry experts, data scientists know what the technology can offer, what analytics are possible, and can communicate on all those aspects to the wider business. This applies no matter the field or sector, as data and analytics have become so important and integral to organisational decision making. Graduates will be ready to work in a range of industries including: government, corporates, the IT sector, market research and finance, agriculture, and transport.
Aotearoa New Zealand and other countries are currently experiencing a skills shortage in this area, and the need for data-savvy professionals with applied experience is growing.
An Applied Data Science graduate's skills will include: