Master of Applied Data Science
- Degree Structure - Start In
- Semester 1 or 2 (February or July)
180
Overview
Master of Applied Data Science
Introduction
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 .
Master of Applied Data Science
What will my study involve?
- One of the few such programmes in Australasia that supports your development from a wider undergraduate study background.
- Potential for work-integrated learning 鈥 you may be able to work on an industry data science project during your studies.
- Option to study via distance learning off campus from any location.
- Focus on broader skills required of data scientists such as advanced analytical capability, problem solving, critical thinking, teamwork, and communication skills.
- UC has strengths in the area of data science, including a number of relevant research centres (eg, , , Wireless Research Centre, Digital Humanities).
Master of Applied Data Science
Entry requirements
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 .
How to apply
You can apply online at .
See Admission and enrolment for all information on enrolling at UC.
Master of Applied Data Science
How do I plan my degree?
The degree will comprise a minimum of 180 points as follows:
- three Foundation Courses
- four courses from advanced data science competencies
- at least 30 points from relevant elective options
- a Data Science project.
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 .
For full requirements, see the Regulations for the Master of Applied Data Science.
Master of Applied Data Science
Subjects and courses
Foundation courses
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:
Advanced Data Science Competencies
All students take the following courses (unless the Programme Director approves a substitution).
- DATA420 Scalable Data Science
- DIGI405 Texts, Discourses and Data: the Humanities and Data Science
- STAT462 Data Mining
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.
Data Science Project
Complete one of the following:
Elective courses
The remaining 30 points will be any relevant 400 or 600-level courses in the following subjects:
- Biological Sciences
- Computer Science
- Digital Humanities
- Economics
- Environmental Science
- Finance
- Geography
- Geology
- Mathematics
- Physics
- Psychology
- Statistics
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:
- COSC421 Advanced Topics in Security
- COSC424 Secure Software
- COSC428 Computer Vision
- DATA415 Computational Social Choice
- DATA416 Contemporary Issues in Data Science
- DATA417 The Trustworthy Data Scientist
- DATA419 Online Communities and Social Networks
- DATA422 Data Wrangling
- DATA423 Data Science in Industry
- DATA424 Information is Beautiful
- DATA425 Foundations of Deep Learning
- DATA430 Medical Data Informatics
- DATA472 Special Topic - Data Engineering
- DATA474 Special Topic - Mathematical Data Science
- GISC404 Spatial Analysis
- GISC412 Spatial Data Science
- GISC422 Foundations of Geographic Information Systems
- INFO634 Data Analytics and Business Intelligence
- STAT447 Official Statistics
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2024 tuition fee estimate:听$13,316 (180 points)
2025 tuition fee estimate: $14,115 (180 points)
滨苍迟别谤苍补迟颈辞苍补濒听蝉迟耻诲别苍迟蝉
2024 Special Programme Fee:听$52,500 (180 points)
2025 Special Programme Fee:听$62,100 (180 points)
Master of Applied Data Science
Career opportunities
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:
- advanced knowledge in data science
- the ability to use data to inform workplace solutions
- planning and implementing data-informed projects
- working in multidisciplinary teams
- have an understanding of what programming can offer.
Useful information:
- Read what other UC postgraduate students have gone on to achieve in their studies and careers in our student stories.
- Te R艒p奴 Rapuara | UC Careers can help you to achieve the career you want, connect with employers, or find a job.
- For research into career destinations by qualification, visit .
- Find out more about what can you do with a degree from UC.
- Come along to an upcoming information event for prospective postgraduate students.
