The Master of Data Science requires two years of full time study (or the equivalent part time). The course is offered by the College of Science and Engineering. The course articulates with the Graduate Diploma in Data Science and the sequentially developed topics allows progression through the awards.
Applicants must normally hold an approved Bachelor degree or equivalent qualification in computer science, information technology, ICT-based mathematics, statistics or a closely related discipline; or the Graduate Diploma in Data Science.
Knowledge of second year undergraduate level study in computer science and high school mathematics is assumed.
The Dean (Education) may, under certain circumstances and subject to specific conditions, admit others who can show evidence of fitness for candidature.
This award aims to provide students with:
- an extended knowledge of both the theoretical and the practical aspects of data science and recent developments in the field
- a mastery of the tools and technologies used in the professional application of data science principles
- a demonstrated understanding of professional and ethical responsibilities and a commitment to them
- well developed written and oral communication skills for technical and non-technical audiences
- an ability to critically analyse and evaluate data stores and creatively solve enterprise problems
- an awareness of social, economic, cultural and environmental aspects of data analytics
- an ability to work professionally as an individual and as a member of multi-disciplinary teams
- an ability to undertake research towards creating solutions to problems in data science applications
- an understanding of the need for lifelong learning and the capacity to do so in the context of ensuring sustained relevancy of skills for future professional roles as a data scientist
The award provides the foundations that will underpin ongoing professional development, preparing students for admission to a research higher degree or for a career as a computing professional.
On completion of the course you will be able to:
- demonstrate high level cognitive, technical and creative skills to investigate, analyse and synthesise data, concepts and theories in the systematic development of solutions to complex organisational problems
- demonstrate mastery of tools and technologies to support best practice data science applications
- apply skills and knowledge in a professionally responsible manner with a high level of personal autonomy and accountability
- communicate effectively with other data scientists and non-technical audiences through written and verbal means
- work professionally as an individual and in a team
- develop evidence-based solutions appropriate to the social, political, international, economic and environmental contexts in which they are applied
- demonstrate knowledge of the research principles and methods applicable to data science and complete a research project
Program of study
To qualify for the Master of Data Science, a student must complete 72 units, with a grade of P or NGP or better in each topic, according to the program of study below.
Core - Year 1 topics
27 units comprising:
COMP7707 Advanced Data Mining (4.5 units)
COMP8801 Computer Programming 2 GE (4.5 units)
ENGR8792 Software Engineering 2 GE (4.5 units)
STAT8701 Statistical Science GE (4.5 units)
STAT8721 Data Science GE (4.5 units)
STEM8001 Research Methods and Professional Skills (4.5 units)
Elective - Year 1 topics
9 units of science elective topics at level 7000 or above
Core - Year 2 topics
18 units comprising:
COMP9721 Enterprise Information Security GE (4.5 units)
COMP9722 Theory and Practice of Computation GE (4.5 units)
COMP9742 Intelligent Systems GE (4.5 units)
COMP9771 Advanced Database and Analytics GE (4.5 units)
Option – Year 2 topics
18 units comprising:
COMP9700A Masters Thesis (4.5/18 units)
COMP9700B Masters Thesis (4.5/18 units)
COMP9700C Masters Thesis (4.5/18 units)
COMP9700D Masters Thesis (4.5/18 units)
9 units comprising:
COMP9710A Masters Project (4.5/9 units)
COMP9710B Masters Project (4.5/9 units)
9 units selected from:
COMP8715 Heuristic Optimisation GE (4.5 units)
COMP8781 Computer Mathematics GE (4.5 units)
COMP9812 Operating Systems GE (4.5 units)
ENGR9742 Systems Engineering (4.5 units)
ENGR9881 Computer Networks GE (4.5 units)
Course Rule Notes
- Science electives are defined as any BIOL, BTEC, CHEM, COMP, DSGN, EASC, ENGR, ENVS, FACH, MATH, NANO, PHYS, STAT or STEM topics for which pre-requisites are met.
- The Masters Thesis can only be taken by students who have achieved a credit average or higher. Students are advised to discuss thesis ideas with suitable supervisors before selecting this option. Note that students who wish to use their masters qualification to satisfy entry into a Flinders University research higher degree program are required to have completed an 18-unit thesis.