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Master of Applied Data Science

Key information

Level of study:
Master's Degree
Tuition fees:
Duration:
1 year
Start date: Expected February-2022
Campus:
University of Canterbury
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Course details

Summary

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.

Why study a Master of Applied Data Science at UC?

  • One of the few such programmes in Australasia that supports the development of students from a wider undergraduate background.
  • Work-integrated learning is a big component of the degree - you will work on an industry data science project.
  • There is also a 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, Geospatial Research Institute, HIT Lab NZ, High Performance Computing, Wireless Research Centre, Digital Humanities).

The degree will comprise a minimum of 180 points as follows:

  • up to three Foundation Courses
  • four courses from advanced data science competencies
  • remaining courses from relevant elective options
  • DATA601 Applied Data Science Project (45 points).

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.

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.

Start date: Monthly by arrangement with supervisor

Entry criteria

Potential students can come from a variety of undergraduate backgrounds. Students require a B Grade Point Average in 300-level bachelor's degree courses, or have evidence of achievement at postgraduate level.

Applicants must also satisfy our English language entry requirements:

  • IELTS (Academic): Minimum overall score of 6.5, with a minimum of 6.0 in reading, writing, listening and speaking.
  • TOEFL (IBT): Minimum overall score of 90, with a minimum score of 19 in Reading, Listening and Writing.
  • PTE (Pearson Test of English - Academic): Overall score of 58 and no communicative skills score below 50.

Application deadline: At least 6 months before the planned start date.

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