Graduate Certificate in Data Science (GCertDataSc)

Program Code

GCDSC

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 is 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.

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 the 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 a machine learning and data mining.
 
The Graduate Certificate in Data Science is an AQF Level 8 Qualification with a standard full-time duration of 0.5 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 and optimisation 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 problem-solving skills to apply data science techniques to 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 Graduate Certificate in Data Science

There shall be a Graduate Certificate in Data Science.

Qualification Requirements
Academic Program: 

To qualify for the degree of Graduate Certificate in Data Science, 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 9 units
  2. Elective courses to the value of 3 units
  3. 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.
Core Courses

To satisfy the requirements for Core Courses students must complete courses to the value of 9 units.

All of the following courses must be completed:

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