Graduate Certificate in Data Science (Applied) [Online] (GCertDS(App))

Program Code

GCDSA

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 Graduate Certificate in Data Science (Applied) [Online] is a fully online program suitable for students from a wide range of backgrounds and will provide the opportunity to build skill and expertise in the application of data science. Data Science is a rapidly evolving space with implications for the future of work and our daily lives.

Students will undertake a fixed study plan within the online program, moving through a course carousel that structures their learning to build on appropriate prerequisite knowledge. The carousel provides foundational content in data science, including fundamental technical content, as well as an overview of data science as an organisational process.

The Graduate Certificate in Data Science (Applied) [Online] is an AQF Level 8 qualification with a standard full-time duration of 0.5 year. However, this program is only offered part-time for a duration of 0.7 year.

Program Learning Outcome
1. Have knowledge and understanding of the technologies and best practices of data science, and how it can apply to informing organisational change.
2. Apply, evaluate and use the principles of big data and data science analysis to real-world problems.
3. Apply, evaluate and use best-practice techniques to provide context-aware data analysis.
4. Apply, evaluate and use best-practice techniques of machine learning and optimisation to the analysis and transformation of data.
5. Understand the implications and issues involved in the social and ethical aspects of data science, to inform the development of data science applications, and to be able to conduct their work within a sound ethical framework.
6. Apply techniques from data analysis, presentation and visualisation to effectively articulate the significance of data in a way that is generally understandable.
Conditions

Interruption of program: Students must apply for permission from the Faculty 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 Graduate Certificate in Data Science (Applied) [Online]

There shall be a Graduate Certificate in Data Science (Applied) [Online].

Qualification Requirements
Academic Program: 

To qualify for the degree of Graduate Certificate in Data Science (Applied) [online], the student must complete satisfactorily a program of study consisting of the following requirements with a combined total of not less than 12 units, comprising:

  1. Core courses to the value of 12 units
  2. Students entering from a cognate discipline, and therefore unable to undertake COMP SCI 7210. Foundations of Computer Science – Python A will be required to undertake appropriate alternative course offerings. Students with permission to undertake alternative course offerings can contact Student Success Team for further information.  
Core Courses

To satisfy the requirements for Core Courses students must complete courses to the value of 12 units.

Courses to the value of 3 units from the following:

Subject / Catalogue Course Title Unit Value
COMP SCI 7210OL Foundations of Computer Science - Python A 3

or

Courses to the value of 3 units from the following:

Students entering from a cognate discipline, and therefore unable to undertake COMP SCI 7210OL Foundations of Computer Science – Python A will be required to undertake appropriate alternative course offerings.
 

and

All of the following courses must be completed:

Subject / Catalogue Course Title Unit Value
COMP SCI 7212OL Human and Ethical Factors in Computer Science 3
DATA 7201OL Data Taming, Modelling and Visualisation 3
DATA 7202OL Applied Data Science 3