Master of Data Science (MDataSc)

Program Code

MDSCI

Academic Year

2024

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 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.

Program Learning Outcome
1. Demonstrate knowledge and understanding of the content, technologies and practices of data science, especially in relation to challenging data, and how it can apply to informing organisational change.
2. Apply, evaluate and use best-practice algorithms, techniques and theory of machine learning, statistics, optimisation, and distributed computing to the analysis and transformation of data in a range of application domains.
3. Demonstrate understanding of the social and ethical aspects of data science, to inform the design and development of data science applications within a sound ethical framework.
4. Apply principles of data analysis, presentation and visualisation to effectively communicate patterns and relationships in data.
5. Demonstrate strong independent and collaborative problem-solving skills to apply data science techniques to aid decision-making in real-world problems
Conditions

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.

Program Maximum Duration: As specified in Table 1 of the Coursework Academic Programs Policy, this program must be completed within a Maximum Duration which includes any periods of non-enrolment, leave of absence or approved study at other institutions for credit towards a Program. 

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. A research project to the value of 12 units
  3. Elective courses to the value of 21 units
  4. International students with an IELTS overall score less than 8.0 are required to take ENG 7057 Communication & Critical Thinking in lieu of an elective.