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Graduate Diploma of Data Science

Provider:
Sydney Polytechnic Institute
Course Code:
GDDS
CRICOS Code:
112064H
Qualification Level:
Postgraduate
Course Area:
Information Technology
Duration:
1-Year
Study Mode:
Full Time
Location:
Haymarket, New South Wales, Australia
Course Fee:
AUD 26,400 Per Course
Delivery Mode:
On Campus
Target:
International
Intake:
March, July, October
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Course Overview

The Graduate Diploma in Data Science provides students with a solid and extensive understanding of the techniques and practices of data science-related theories and applications, and equips them to meet the challenges of working in industries requiring specific data science knowledge and skills, such as data visualisation, deep learning, big data, cloud computing and artificial intelligence.
The Graduate Diploma is designed for students with little or no background in data science but wishing to attain a post-graduate qualification in this area, or who have completed the Graduate Certificate in Data Science. Students with a bachelor’s degree in different disciplines or a GCDS (SPI credits recognised) are eligible to apply for this degree.
By completing this course, students will acquire essential and specific data science skills, which will enhance their employment opportunities, assist in career development, and allow them to tackle work challenges relevant to data science. Upon completion, students may choose to progress to the higher-level Master of Data Science.

Course Structure

To qualify for the award of the Graduate Diploma in Data Science, a candidate must complete the following:

Core Units

  1. MDS601 Programming Foundations for Data Science 
  2. MDS602 Mathematical Foundations and Algorithm Designs 
  3. MDS603 Data Science Methodology 
  4. MDS604 Database Systems and Infrastructure 
  5. MDS605 Machine Learning and Data Mining 

Elective Units - [Any Three]

  1. MDS606 Data Science Research and Ethics 
  2. MDS607 Artificial Intelligence and Innovation 
  3. MDS609 Business Intelligence and Analytics 
  4. MDS610 Decision Making for Analytics 
  5. MDS611 Data Visualisation and Tools 
  6. MDS612 Big Data Infrastructure and Processing 
  7. MDS613 Deep Learning 
  8. MDS614 Unstructured Data and Computer Vision 
  9. MDS615 Cloud Computing and Application Development 

Entry Requirement

Admission Requirements
Academic Entry Requirements

Direct entry to this course requires:

  • Completion of an AQF Level 7 qualification such as an approved three-year undergraduate degree which includes some study areas requiring quantitative reasoning and analysis; or
  • Other qualifications with the combination of education and relevant work or other experience will be considered on a case-by-case basis; or
  • Completion of the SPI Graduate Certificate in Data Science. 
Language Requirement
IELTS Score (Minimum) IELTS Academic - A minimum result of 6.5 overall and a minimum result of 6.0 in each subtest; or an equivalent score.

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