Master of Data Science (MDS)

Program Code

MDSCI

Academic Year

2022

Special Notes

These Program Rules should be read in conjunction with the University's policies (http://www.adelaide.edu.au/policies).

Overview

The Master of Data Science is a conversion program designed for students who wish to develop new skills in the growing area of data science, with a specific focus on large-scale data analysis, or big data. In this program, students undertake a variety of core and elective courses, designed to combine skills in computer science, mathematics, data science and data science analysis, as well as a significant project designed to combined skills developed across the program.

The program provides the necessary skills for entering the world of Big Data and Data Science, an emerging area of necessity for many fields, including Science, Engineering, Economics and Digital Humanities. The program will help learners understand how data is changing our world, and how learners can apply data science techniques to drive changes in their organisation or area. The program will provide an introduction to emerging field of data, and introduce fundamental analysis techniques, explored through a range of case studies, gaining deeper knowledge of relevant computational and mathematical techniques, such as machine learning and data mining.

The Master of Data Science is an AQF Level 9 Qualification with a standard full-time duration of 2 years.

Conditions

Condition of Enrolment
Interruption of program: Students must apply for permission from the Executive Dean or delegate before taking a Leave of Absence. Any extension of the leave without approval will result in the loss of place in the program but an application may be made to be re-admitted to the program subject to the admission procedures in place at the time.

Academic Program Rules for Master of Data Science

There shall be a Master of Data Science.

Qualification Requirements
Academic Program: 

To qualify for the degree of Master of Data Science, the student must complete satisfactorily a program of study consisting of the following requirements with a combined total of not less than 48 units comprising:

  1. Core courses to the value of 15 units
  2. Elective courses to the value of 21 units
  3. A research project or industry based project to the value of 12 units

Unless exempted international students are required to take ENG 7057 Communication & Critical Thinking in lieu of an elective. 

Master of Data Science

To satisfy the requirements for Master of Data Science students must complete courses to the value of 48 units.

Core Courses

All of the following courses must be completed:

Subject / Catalogue Course Title Unit Value
COMP SCI 7210 Foundations of Computer Science A 3
COMP SCI 7211 Foundations of Computer Science B 3
MATHS 7027 Mathematical Foundations of Data Science 3
MATHS 7107 Data Taming 3
STATS 7022 Data Science PG 3