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Bachelor of Information Sciences (Data Science)

Key facts

  • Available at Auckland
  • Available for international students studying in NZ

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Details you need to know about the structure, courses and requirements for this programme.

View regulations

Entry requirements

All students must have a university entrance qualification. It is strongly recommended that students beginning their study in Data Science have a sound background in mathematics at NCEA Level 3 (or equivalent).

For general entry requirements see Massey University entry requirements.


To find out how to plan your study and/or see what courses are necessary to complete your programme, please check the regulations. It will display the regulatory information for the programme you have selected.

If you would like to find out more about individual course requirements, please use our Course search


This is a guide.  Students are advised to check the university calendar for the latest course information.

The first year of study must include:

159.101 Technical Programming 1
159.102 Technical Programming 2

At least one mathematics course – one or more of 160.105, 160.101, 160.102

At least one statistics course – one of 161.111 or 161.122

247.112 Science and Sustainability for ICT (or another Science and Sustainability course) 

The second year of study:

Select the following four courses:

158.222 Data Wrangling and Machine Learning
159.201 Algorithms and Data Structures
161.250 Data Analysis for Biologists
161.251 Regression Modelling

The third year of study:

Select this compulsory course:

158.345 Professionalism in the Information Sciences

Select this compulsory project:

159.333 Programming Project

Select the following four courses:

158.333 Applied Machine Learning and Data Visualisation
158.337 Database Development
159.302 Artificial Intelligence
161.324 Data Mining

The remaining credit requirements for each year of study can be met by selecting elective courses.

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