The Degree of Master of Data Science – MDataSci

1 In order to be admitted to this degree, a student must have completed the requirements for:

a (i) the Degree of Bachelor of Science with a specialisation in Data Science from this University with a Grade Point Average of 4.0 or higher in 75 points above Stage II, or the equivalent as approved by Senate or its representative

or

(ii) the Degree of Bachelor of Science with a major in Computer Science and a major in Statistics from this University with a Grade Point Average of 4.0 or higher in 75 points above Stage II, or the equivalent as approved by Senate or its representative

or

b (i) the Degree of Bachelor of Science with a major in Computer Science or Statistics from this University with a Grade Point Average of 4.5 or higher in 75 points above Stage II, or the equivalent as approved by Senate or its representative

and

(ii) COMPSCI 130, MATHS 108, and STATS 101 or equivalent courses approved by the Academic Head or nominee.

or

c the Postgraduate Certificate in Data Science from this University with a Grade Point Average of 4.0 or higher.

2 A student admitted to this degree under Regulation 1a or 1c must:

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.

3 A student admitted to this degree under Regulation 1b 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.

4 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.

5 A student admitted to this programme must complete the University of Auckland Academic Integrity course as specified in the Enrolment and Programme Regulations, Academic Integrity, of the University Calendar.

6 a The dissertation is to be carried out under the guidance of a supervisor appointed by Senate or its representative.

b The dissertation topic must be approved by the relevant Academic Head or nominee prior to enrolment.

c The dissertation is to be completed and submitted in accordance with the General Regulations – Masters Degrees.

7 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.

8 This degree may be awarded with Honours in accordance with the General Regulations – Masters Degrees.

9 In exceptional circumstances Senate or its representative may approve a personal programme which does not conform to these regulations.

10 These regulations and/or schedule have been amended with effect from 1 January 2025.