Master of Data Science–MDataSc 240 points Qualification regulations

1. (a) Before enrolment, a candidate for the MDataSc degree shall have:

(i) completed a Bachelor’s degree in Data Science, Computer Science, or Statistics; and

(ii) been accepted by the head of school or nominee as capable of proceeding with the proposed course of study

(b) Requirement (a)(i) may be waived or varied by the associate dean for a candidate who has had extensive practical, professional, or scholarly experience that provides an equivalent level of preparation.

2. (a) The course of study for the MDataSc shall consist of courses worth 240 points, consisting of:

Part 1: 60 points from AIML 420, AIML 421, DATA 471–475 or approved alternatives;

Part 2: (i) AIML 427, one of (AIML 425, AIML 426, AIML 429), STAT 432, STAT 438, DATA 480, DATA 501, DATA 581;

(ii) DATA 487 or 489;

(iii) 30 or 45 further points from AIML 400–479; COMP 400–479; DATA 400–469; DATA 490–499; MATH 400–483; STAT 400–483 or approved alternatives

(b) A candidate who has completed a Bachelor’s degree in Data Science, or a double major in Statistics and either Artificial Intelligence or Computer Science shall be exempted from Part 1 and admitted directly to Part 2.

(c) The Head of School of Mathematics and Statistics may exempt a student from any 400- level DATA course in Part 1 for which they have mastered the material through prior study.

(d) The Head of School of Mathematics and Statistics may approve the substitution of (DATA 487, DATA 581) by DATA 588.

3. The MDataSc may be awarded with Distinction or Merit as described in the Assessment Handbook.