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, a student must have completed the requirements for:

a (i) the Degree of Bachelor of Science in Data Science 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

or

(ii) the Degree of Bachelor of Science with a double major in Computer Science and 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

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) STATS 101, or an equivalent course approved by the Director.

Duration and Total Points Value

2 A student admitted to this degree under Regulation 1a 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.

Structure and Content

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 792. 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 792. 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.

Dissertation

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.

Reassignment

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.

Variations

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

Honours

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

Commencement

10 These regulations came into force on 1 January 2020. The 2019 regulations for the Degree of Master of Data Science were thereby repealed.

Master of Data Science (MDataSci) Schedule

A student who has to complete 180 points must satisfy the following requirements:

Taught Masters

Requirement:

60 points: COMPSCI 752, 760, STATS 763, 769

at least 15 points from STATS 705, 730, 783, 784, 787

at least 15 points from COMPSCI 711, 720, 734, 750, 753

up to 45 points from COMPSCI 705, 715, 732, 761, 765, 767, ENGSCI 711, 755, 760–763, 768, HLTHINFO 723, 728, 730, INFOSYS 700, 720, 722, 737, 740, MATHS 715, 761, 765, 766, 769, 770, OPSMGT 752, 757, 760, 766, SCIENT 701, 702, 705, STATS 701, 710, 726, 731, 770, 779, 780, or other 700 level courses offered at this University approved by the Director

45 points: DATASCI 792 Dissertation

A student who has to complete 240 points must satisfy the following requirements:

Taught Masters

Requirement:

60 points from COMPSCI 717, 751, 762, STATS 707, 762, 765, 782, or other approved 700 level courses offered at this University

60 points: COMPSCI 752, 760, STATS 763, 769

at least 15 points from STATS 705, 730, 783, 784, 787

at least 15 points from COMPSCI 711, 720, 734, 750, 753

up to 45 points from COMPSCI 705, 715, 732, 761, 765, 767, ENGSCI 711, 755, 760-763, 768, HLTHINFO 723, 728, 730, INFOSYS 700, 720, 722, 737, 740, MATHS 715, 761, 765, 766, 769, 770, OPSMGT 752, 757, 760, 766, SCIENT 701, 702, 705, STATS 701, 710, 726, 731, 770, 779, 780, or other approved 700 level courses offered at this University

45 points: DATASCI 792 Dissertation

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