What will I learn?

Programme highlights:

The MProfStuds is a masters degree with a professional focus. It can be a useful way to continue your postgraduate study if you already have a masters degree.

Specialisations available:

  • Data Science
  • Digital Security
  • Education
  • Mathematics Education

Programme structure

  • 120 points
  • Advanced taught courses in your chosen specialisation
  • May include a dissertation, depending on your specialisation
  • One year full-time or up to two years part-time for a research masters
  • One year full-time or up to four years part-time for a taught masters
  • Mathematics Education may be taken as a research masters

The Master of Professional Studies specialising in Data Science concentrates on the application of data management and data analysis skills to a professional domain, such as business.

You will have the opportunity to:

  • Apply techniques from large-scale data management, data mining, machine learning, statistical modelling and statistical analysis to relevant domains.
  • Assemble theories and tools from computer science, statistics and domains of data science to create information, knowledge, or innovative products, from data.
  • Critically analyse data, but also assess the appropriateness and limitations of the methods and solutions.
  • Take into account ethical considerations and evaluate the impact of their findings on culture, economy, environment and society.
  • Utilise techniques for visualisation and communication to express and share their findings at a level that is appropriate for the target audience.
  • Manage knowledge and time in data science projects.

Master of Professional Studies in Data Science - 120 point (one-year) Taught Masters

At least 30 points from:

  • COMPSCI 751 Advanced Topics in Database Systems
  • COMPSCI 752 Web Data Management
  • COMPSCI 753 Uncertainty in Data
  • COMPSCI 760 Data Mining and Machine Learning

At least 30 points from:

  • STATS 762 Special topic in regression
  • STATS 769 Advanced Data Science Practice
  • STATS 782 Statistical Computing
  • STATS 784 Statistical Data Mining

Up to 30 points from:

  • SCIENT 701 Accounting and Finance for Scientists
  • SCIENT 702 Marketing for Scientific and Technical Personnel
  • COMPSCI 705 Advanced Topics in Human Computer Interaction
  • COMPSCI 711 Parallel and Distributed Computing
  • COMPSCI 720 Advanced Design and Analysis of Algorithms
  • COMPSCI 732 Software Tools and Techniques
  • COMPSCI 734 Web, Mobile and Enterprise Computing
  • INFOSYS 720 Information Systems Research
  • INFOSYS 722 Data Mining and Big Data
  • INFOSYS 727 Advanced Information Security
  • INFOSYS 737 Adaptive Enterprise Systems
  • INFOSYS 740 System Dynamics and Complex Modelling
  • OPSMGT 760 Advanced Operations Systems
  • OPSMGT 762 Quality Management
  • STATS 779 Professional Skills for Statisticians
  • STATS 783 Simulation and Monte Carlo Methods

30 points:

  • COMPSCI 791 Dissertation

Further study options

  • Doctor of Philosophy
  • Doctor of Education

This course also available in faculty of science.

Which department am I in?

Business School

Study options

Full Time (1 year)

Tuition fees
NZ$39,787.00 (US$ 27,061) per year
Tuition fee: NZ $35,048 – NZ $44,526 (This fee is for 2021 and it may subject to change for the coming year)

*Price shown is for indicative purposes, please check with institution

Start date

28 February 2022, 18 July 2022

Venue

Epsom Campus

74 Epsom Avenue,

AUCKLAND,

Epsom,

1023, New Zealand

Full Time (1 year)

Tuition fees
NZ$39,787.00 (US$ 27,061) per year
Tuition fee: NZ $35,048 – NZ $44,526 (This fee is for 2021 and it may subject to change for the coming year)

*Price shown is for indicative purposes, please check with institution

Start date

28 February 2022, 18 July 2022

Venue

University of Auckland

City Campus,

Alfred Nathan House, 24 Princes Street,

AUCKLAND CITY,

Auckland Central,

1010, New Zealand

Entry requirements

For students from United States

Admission to a 120 point Masters degree: Normally this requires a completed bachelor honours degree or postgraduate diploma from New Zealand, or an acceptable equivalent postgraduate qualification from a recognised university (or similar) overseas. Admission to a 180 point Masters degree: This normally requires a completed bachelor degree or postgraduate certificate from New Zealand, or an acceptable equivalent qualification from a recognised university (or similar) overseas. Previous work experience may be taken into account. Admission to a 240 point Masters degree: This normally requires a completed bachelor degree from New Zealand, or an acceptable equivalent qualification from a recognised university (or similar) overseas. Previous work experience may be taken into account. GPE - Grade Point Equivalent: 4.0; IELTS (Academic): Overall score of 6.5 and no bands less than 6.0; Internet-based TOEFL (iBT): Overall score of 90 and written score of 21; Paper-based TOEFL: Overall score of 68 and a writing score of 21; Cambridge English: Advanced (CAE) or Cambridge English Proficiency (CPE): Overall score of 176 and no bands below 169; Pearson Test of English (PTE) Academic: Overall score of 58 and no PTE Communicative score below 50; Foundation Certificate in English for Academic Purposes (FCertEAP): Grade of B-; Michigan English Language Assessment Battery (MELAB): 85

For international students

120 points (Research / Taught):

You must have completed one of the following:

  • A four-year bachelors degree (which includes one year of postgraduate-level study)
  • A one-year postgraduate degree
  • A bachelors degree and a one-year professional qualification or three years professional experience relevant to the area that you would like to study.

You will need a GPE of at least 3.0 and for some specialisations a higher GPE will be required.

To enrol in the Education specialisation you need to have at least three years’ teaching experience.

To enrol in the Mathematics Education specialisation you need to have at least three years’ teaching experience and currently hold a teaching position.

To enrol in the Teaching Chinese in Schools specialisation you need to have attained a proficiency level in Chinese of at least HSK Level 5 or equivalent.

To enrol in the Translation specialisation you need to have an IELTS Academic overall score of 7.0 with no bands less than 6.5. Alternatively, for non-native speakers of English, you need to have at least three years of tertiary education in the English medium.

*There may be different IELTS requirements depending on your chosen course.

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About University of Auckland

University of Auckland is New Zealand’s largest and leading research university with a global reputation for academic excellence.

  • Among top 100 global universities according to QS Rankings
  • New Zealand’s largest research organisation
  • Outstanding student support and excellent facilities
  • New Zealand’s leading university for entrepreneurship

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