Graduate Diploma in Data Science (Applied) [Online] (GDipDS (App))

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Detailed Program Information

Program Code
GDDSA

Program Faculty
Faculty of Sciences, Engineering and Technology

Academic Year
2024

These Program Rules should be read in conjunction with the University's policies (https://www.adelaide.edu.au/policies).

Overview

The Graduate Diploma 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 two course carousels that structure their learning to build on appropriate prerequisite knowledge. The first carousel provides foundational content in data science, including fundamental technical content, as well as an overview of data science as an organisational process. The second carousel, then extends this content further, providing deeper technical awareness of data science, as well as exploration of case studies of application, communication and visualisation from multiple disciplines.

The Graduate Diploma in Data Science (Applied) [online] is an AQF Level 8 qualification with a standard full-time duration of 1 year. However, this program is only offered  part-time for a duration of 1.3 years.
 

Program Learning Outcomes

  1. Apply, evaluate and use the principles of data science within real-world contexts, including the specific requirements of large scale data analysis, in an area of specialisation.
  2. Demonstrate knowledge and understanding of the technical practice, management and strategic impact of data science, and its application, within industry contexts.
  3. Apply, evaluate and use best-practice tools, techniques and theory of data science within a range of application domains.
  4. Adopt and employ professional attitudes, standards and values.
  5. Use highly effective interpersonal skills to enable empathetic and effective communication with a range of audiences.

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 Diploma in Data Science (Applied) [Online]

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

Qualification Requirements

To qualify for the degree of Graduate Diploma 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 24 units, comprising:

  1. Core courses to the value of 24 units
  2. Students entering from a cognate discipline, and therefore unable to take COMP SCI 7210OL. Foundations of Computer Science – Python A and/or COMP SCI 7211OL. Foundations of Computer Science – Python B will be required to undertake the alternative course offerings. Students with permission to undertake alternative course offerings can contact the Student Success Team for further information.  
  3. Students without Stage 2 Mathematical Methods (or equivalent) are required to take MATHS 7203OL Applied Data Science and Mathematics in lieu of DATA 7202OL Applied Data Science. Students with permission to undertake alternative course offerings can contact the Student Success Team for further information.  

Core Courses

Published on: 12 March, 2024 | 12:26:05

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