Studyportals
Master On Campus

Data Science

University of Sydney

12 months
Duration
47500 AUD/year
37000 AUD/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The Data Science program at the University of Sydney is a professional degree for people who are passionate about drawing meaningful knowledge from data to drive business decision-making or research output. It will develop your analytical and technical skills to use data science to guide strategic decisions in your area of expertise. 

Overview

The Data Science program at the University of Sydney is a vital asset to any organisation. It holds valuable insights into areas such as customer behaviour, market intelligence and operational performance. Data scientists build intelligent systems to manage, interpret, understand and derive key knowledge from big data sets. If you have a strong mathematical or quantitative backgrounds, this degree will develop your analytical and technical skills in using data science to guide strategic decisions in your area of expertise.  

Leveraging the University of Sydney's research strengths, you will explore the latest in data mining, machine learning and data visualisation, while developing the skills to communicate data insights to key stakeholders effectively. If you have qualifications in areas such as health and education, a Graduate Certificate in Data Science can provide you with the data science capability to complement your existing skills and provide a pathway to the master's program.

Career Pathways

The Master of Data Science will provide the knowledge, skills and experience to equip the graduate to operate independently as a data scientist within any application domain. The training it provides also supports several career paths, by: honing data skills at the frontier of machine intelligence research to become a data scientist for hire; up-skilling to build intelligent data-driven systems in an existing area of expertise (e.g., mining analyst); improving scientific research through training in data management, analysis, and modelling.

Programme Structure

Courses include:

  • Advanced Data Models
  • Advanced Machine Learning 
  • Applied GIS and Spatial Data Analytics 
  • Cloud Computing  
  • Computational Statistical Methods
  • Data Analysis in the Social Sciences
  • Data Analytics and Business Intelligence
  • Deep Learning 
  • Engineering Foundation Studies 

Key information

Duration

  • Full-time
    • 12 months
  • Part-time
    • 24 months

Start dates & application deadlines

Credits

48 alternative credits

Delivered

On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

Other requirements

General requirements

CRICOS code: 087981E 

  • a four year Australian bachelor's degree with honours in a quantitative discipline* with a minimum credit average (65 percent), or
  • an equivalent qualification with a research component or an Australian master's degree in a quantitative discipline with a minimum credit average (65 percent), or equivalent qualification, or
  • the University of Sydney Graduate Certificate in Data Science with a minimum credit average (65 percent), or equivalent or higher qualification

Tuition Fee

To alway see correct tuition fees
  • International

    47500 AUD/year
    Tuition Fee
    Based on the tuition of 47500 AUD per year during 12 months.
  • National

    37000 AUD/year
    Tuition Fee
    Based on the tuition of 37000 AUD per year during 12 months.

Living costs for Sydney

1882 - 3547 AUD /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last 3 months

Check the official programme website for potential updates.

Our partners

Data Science
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University of Sydney

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