The Graduate Diploma in Data Science requires one year 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 Master of 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 from an approved tertiary institution.
Knowledge of at least 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:
- knowledge in both the theoretical and the practical aspects of data science
- a strong understanding of professional and ethical responsibilities and a commitment to them
- well developed written and oral communication skills
- an ability to critically analyse and evaluate data stores and solve enterprise problems
- an awareness of social, economic, cultural and environmental aspects of data analytics
- the ability to work professionally as an individual and as a member of multi-disciplinary teams
- understand the process of research in the area of data science
- an understanding of the need to undertake lifelong learning and the capacity to do so
- preparation 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 data science or computing professional.
On completion of the course you will be able to:
- proficiently use cognitive, technical and creative skills to investigate, analyse and synthesise complex data driven problems, concepts and theories in the systematic development of solutions to complex organisational problems
- 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 the wider global community using a wide range of methods
- 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
Program of study
To qualify for the Graduate Diploma in Data Science, a student must complete 36 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
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.