From 2027, eight core papers for the Bachelor of Sustainability (BSust) programme will use the SUST paper code prefix. Students enrolling in the BSust for 2027 will see the SUST papers (SUST 101, SUST 102, SUST 111, SUST 204, SUST 211, SUST 280, SUST 311, SUST 337) listed as core requirements when selecting papers in eVision.

No changes to papers MAOR 202 or MAOR 204 for 2027.

Current students who wish to change their programme of study to the Bachelor of Sustainability (BSust), and have completed any of the core papers under their existing paper codes, will be able to credit these towards the core requirements for the BSust through the course variation process.

Core papers

Every Bachelor of Sustainability programme must include the core papers listed below or the equivalent SUST coded papers, as well as the required papers for the major subject.

(NOTE: The core paper requirements table will be updated to show SUST paper codes once the approval process has been finialised.)

</p><p>
LevelPapersPoints
100‑level ENVI 111 Environment, Society and Sustainability 18
GEOG 101 Physical Geography 18
GEOG 102 Geographies of Sustainable Futures 18
200‑level ENVI 211 Environmental Change and Sustainability in Aotearoa New Zealand 18
GEOG 280 Engaging with People and Place Through Social Science Research 18
Either MAOR 202 Māori and Tikanga or MAOR 204 Te Tiriti o Waitangi 18
MATS 204 Treasure or Trash: Sustainability of Materials 18
300‑level ENVI 311 Environmental Sustainability: Science, Society and Practice 18
MANT 337 Organisations and Sustainability 18
</p><h3>Data Science major papers</h3><p>In addition to the core Bachelor of Sustainability papers, the Data Science major has its own programme requirements.</p><table summary="Outline of papers and points needed to complete a Bachelor of Science majoring in Data Science" id="table07703"><tbody><tr><th scope="col" class="degreelevel" style="width: 120px;" id="table07703r1c1">Year</th><th scope="col" id="table07703r1c2">Papers</th><th scope="col" class="degreepoints" id="table07703r1c3">Points</th></tr><tr><td rowspan="3" headers="table07703r1c1"> 100-level </td><td headers="table07703r1c2"><a href="https://www.otago.ac.nz/courses/papers?papercode=MATH130">MATH 130</a> Fundamentals of Modern Mathematics </td><td class="degreepoints" headers="table07703r1c3"> 18 </td></tr><tr><td headers="table07703r1c2"><a href="https://www.otago.ac.nz/courses/papers?papercode=COMP121">COMP 121</a> Computer Programming </td><td headers="table07703r1c3"> 18 </td></tr><tr><td headers="table07703r1c2"><a href="https://www.otago.ac.nz/courses/papers?papercode=STAT110">STAT 110</a> Statistical Methods or <a href="https://www.otago.ac.nz/courses/papers?papercode=STAT115">STAT 115</a> Introduction to Biostatistics </td><td headers="table07703r1c3"> 18 </td></tr><tr><td rowspan="4" headers="table07703r1c1"> 200-level </td><td headers="table07703r1c2"> DATA 201 R for Statistics and Data Science </td><td class="degreepoints" headers="table07703r1c3"> 18 </td></tr><tr><td headers="table07703r1c2"> DATA 202 Database Systems </td><td headers="table07703r1c3"> 18 </td></tr><tr><td headers="table07703r1c2"><a href="https://www.otago.ac.nz/courses/papers?papercode=STAT210">STAT 210</a> Applied Statistics </td><td headers="table07703r1c3"> 18 </td></tr><tr><td headers="table07703r1c2"> COMP 220 Applied Programming Techniques </td><td headers="table07703r1c3"> 18 </td></tr><tr><td rowspan="4" headers="table07703r1c1"> 300-level </td><td headers="table07703r1c2"> DATA 301&nbsp; Applied Data Science </td><td class="degreepoints" headers="table07703r1c3"> 18 </td></tr><tr><td headers="table07703r1c2"> DATA 302 Statistical Learning </td><td headers="table07703r1c3"> 18 </td></tr><tr><td headers="table07703r1c2"> DHUM 303 When Machines Decide </td><td headers="table07703r1c3"> 18 </td></tr><tr><td headers="table07703r1c2"><a href="https://www.otago.ac.nz/courses/papers?papercode=STAT310">STAT 310</a> Statistical Modelling </td><td headers="table07703r1c3"> 18 </td></tr><tr class="degreetablesummary"><td colspan="2" headers="table07703r1c1 table07703r1c2"><strong>Total </strong>(including core papers)</td><td class="degreepoints" headers="table07703r1c3"><strong>360</strong></td></tr></tbody></table>" />
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Bachelor of Sustainability (BSust) majoring in Data Science

From 2027, eight core papers for the Bachelor of Sustainability (BSust) programme will use the SUST paper code prefix. Students enrolling in the BSust for 2027 will see the SUST papers (SUST 101, SUST 102, SUST 111, SUST 204, SUST 211, SUST 280, SUST 311, SUST 337) listed as core requirements when selecting papers in eVision.

No changes to papers MAOR 202 or MAOR 204 for 2027.

Current students who wish to change their programme of study to the Bachelor of Sustainability (BSust), and have completed any of the core papers under their existing paper codes, will be able to credit these towards the core requirements for the BSust through the course variation process.

Core papers

Every Bachelor of Sustainability programme must include the core papers listed below or the equivalent SUST coded papers, as well as the required papers for the major subject.

(NOTE: The core paper requirements table will be updated to show SUST paper codes once the approval process has been finialised.)

LevelPapersPoints
100‑level ENVI 111 Environment, Society and Sustainability 18
GEOG 101 Physical Geography 18
GEOG 102 Geographies of Sustainable Futures 18
200‑level ENVI 211 Environmental Change and Sustainability in Aotearoa New Zealand 18
GEOG 280 Engaging with People and Place Through Social Science Research 18
Either MAOR 202 Māori and Tikanga or MAOR 204 Te Tiriti o Waitangi 18
MATS 204 Treasure or Trash: Sustainability of Materials 18
300‑level ENVI 311 Environmental Sustainability: Science, Society and Practice 18
MANT 337 Organisations and Sustainability 18

Data Science major papers

In addition to the core Bachelor of Sustainability papers, the Data Science major has its own programme requirements.

YearPapersPoints
100-level MATH 130 Fundamentals of Modern Mathematics 18
COMP 121 Computer Programming 18
STAT 110 Statistical Methods or STAT 115 Introduction to Biostatistics 18
200-level DATA 201 R for Statistics and Data Science 18
DATA 202 Database Systems 18
STAT 210 Applied Statistics 18
COMP 220 Applied Programming Techniques 18
300-level DATA 301  Applied Data Science 18
DATA 302 Statistical Learning 18
DHUM 303 When Machines Decide 18
STAT 310 Statistical Modelling 18
Total (including core papers)360
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