Updating Results

Postgraduate Diploma in Applied Data Science

  • Graduate Diploma

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.

Key details

Degree Type
Graduate Diploma
Duration
2 semesters full-time
Intake Months
Feb, Jul
Domestic Fees
$8,174 per year
International Fees
$27,500 per year

About this course

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. This is an essential skillset in a world where everything from education to commerce, communication to transport, involves large-scale data collection and digitalisation. This Postgraduate Diploma 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.

Study locations

Main Campus

Career pathways

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: