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 Tuihono UC | UC Online.

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 admission requirements checker.

English language courses offered in partnership with CCEL will prepare you for study at Foundation, undergraduate and postgraduate degree level. The English for Academic Purposes (EAP) courses offered by CCEL are designed to provide you with the specific language and study skills you will need to succeed in academic study.

Further details and application form are available from the CCEL site.

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.