Regulations - Science
The Degree of Master of Data Science – MDataSci
The regulations for this degree are to be read in conjunction with all other relevant statutes and regulations including the Academic Statutes and Regulations.
Admission
1 In order to be admitted to this degree, an applicant intending to complete 180 points must have:
a completed the requirements for the Bachelor of Science from this University with Grade Point Average of 4.0 or higher, and a specialisation in Data Science, or have equivalent prior study
or
b completed the requirements for the Bachelor of Science from this University with a Grade Point Average of 4.0 or higher in 60 points above Stage II, and a specialisation in Data Science
or
c completed the requirements for the Bachelor of Science from this University with a Grade Point Average of 4.0 or higher, and a major in both Computer Science and Statistics, or have equivalent prior study
or
d completed the requirements for the Bachelor of Science from this University with a Grade Point Average of 4.0 or higher in 60 points above Stage II, and a major in both Computer Science and Statistics
or
e completed the requirements for the Postgraduate Certificate in Data Science from this University with a Grade Point Average of 4.0 or higher.
2 In order to be admitted to this degree, an applicant intending to complete 240 points must have:
a (i) completed the requirements for the Bachelor of Science from this University with a programme Grade Point Average of 4.0 or higher, and a major in Computer Science or Statistics, or have equivalent prior study
and
(ii) passed COMPSCI 130, MATHS 108, and STATS 101 or equivalent courses
or
b (i) completed the requirements for the Bachelor of Science from this University with a Grade Point Average of 4.0 or higher in 60 points above Stage II, and a major in Computer Science or Statistics
and
(ii) passed COMPSCI 130, MATHS 108, and STATS 101 or equivalent courses
or
c passed 60 points towards the Postgraduate Certificate in Data Science from this University with a Grade Point Average or 4.0 or higher, provided that the postgraduate certificate has not been awarded.
3 Equivalence in Regulation 1 will be determined by the University. Equivalence pertains to the standard as well as nature and level of study.
4 In exceptional circumstances, the requirement in Regulation 1 or 2 may be waived by the relevant Associate Dean Academic or nominee if they determine that an applicant has at least three years of relevant practical, professional or scholarly experience that provides an equivalent level of preparation.
Duration and Total Points Value
5 A student admitted to this degree under Regulation 1 or 4:
a pass courses with a total value of 180 points
and
b complete within the time limit specified in the General Regulations – Masters Degrees
and
c not exceed 220 points for the total enrolment in this degree.
6 A student admitted to this degree under Regulation 2 or 4 must:
a pass courses with a total value of 240 points
and
b complete within the time limit specified in the General Regulations – Masters Degrees
and
c not exceed 280 points for the total enrolment in this degree.
Structure and Content
7 a A student enrolled for this degree must complete the requirements as listed in the Master of Data Science Schedule.
b A student who has to complete 180 points must achieve a Grade Point Average of 4.0 or higher in the first 60 points of taught courses prior to enrolment in DATASCI 791. If this Grade Point Average is not achieved, enrolment in the Master of Data Science cannot continue.
c A student who has to complete 240 points must achieve a Grade Point Average of 4.0 or higher in the first 120 points of taught courses prior to enrolment in DATASCI 791. If this Grade Point Average is not achieved, enrolment in the Master of Data Science cannot continue.
8 A student must complete the University of Auckland Academic Integrity course as specified in the Enrolment and Programme Regulations, Academic Integrity, of the University Calendar.
Dissertation
9 a The dissertation is to be carried out under the guidance of a supervisor appointed by the Academic Head.
b The dissertation topic must be approved by the Programme Director prior to enrolment.
c The dissertation is to be completed and submitted in accordance with the General Regulations – Masters Degrees.
Reassignment
10 A student who does not achieve the Grade Point Average specified in Regulation 4 may apply to reassign courses passed for this degree to the Postgraduate Diploma in Science or the Postgraduate Certificate in Data Science.
Honours
11 This degree may be awarded with Honours in accordance with the General Regulations – Masters Degrees.
Variations
12 In exceptional circumstances the Programme Director may approve a variation to a student’s programme of study in accordance with the Enrolment and Programme Regulations.
Amendment
13 These regulations and/or schedule have been amended with effect from 1 January 2025.
A student who has to complete 180 points must satisfy the following requirements:
Requirement:
Taught Masters
60 points: COMPSCI 752, 760, STATS 763, 769
at least 15 points from STATS 705, 730, 767, 784, 786, 787
at least 15 points from COMPSCI 711, 720, 734, 750, 753
up to 45 points from COMPSCI 705, 715, 732, 761, 762, 765, 767, DIGIHLTH 701, 702, 704, ENGSCI 711, 755, 760, 761, 763, 768, INFOSYS 700, 720, 722, 757, MATHS 715, 761, 765–767, 769, 770, 787, OPSMGT 741, 752, 760, 766, SCIENT 701, 702, 705, STATS 710, 726, 731, 732, 762, 770, 779, 780, 782, any courses listed elsewhere in this schedule or other 700 level courses offered at this University approved by the Programme Director
15 points: DATASCI 779
30 points: DATASCI 791 Research Project
A student who has to complete 240 points must satisfy the following requirements:
Requirement:
Taught Masters
60 points: COMPSCI 752, 760, STATS 763, 769
60 points from COMPSCI 717, 751, 762, DATASCI 709, STATS 707, 709, 762, 765, 782, other 700 level courses offered at this University approved by the Programme Director
at least 15 points from STATS 705, 730, 762, 767, 784, 786, 787
at least 15 points from COMPSCI 711, 720, 734, 750, 753
up to 45 points from COMPSCI 705, 715, 732, 761, 765, 767, DIGIHLTH 701, 702, 704, ENGSCI 711, 755, 760, 761, 763, 768, INFOSYS 700, 720, 722, 757, MATHS 715, 761, 765–767, 769, 770, 787, OPSMGT 741, 752, 760, 766, SCIENT 701, 702, 705, STATS 710, 726, 731, 732, 770, 779, 780, other 700 level courses offered at this University approved by the Programme Director
15 points: DATASCI 779
30 points: DATASCI 791 Research Project