Studyportals

Data Science

University of Queensland

Master On Campus Online
24 months
Duration
45120 AUD/year
36820 AUD/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

Become job-ready and prepared to tackle complex data science challenges and play a leading role in the future development of data science solutions globally. The Master of  Data Science program is offered at the University of Queensland.

Overview

The Master of Data Science program offered at the University of Queensland is the most comprehensive data science program in Australia, combining high-level analytical and technical skills with industry-specific knowledge and essential professional attributes. 

It's also one of the few programs in the world to offer you a cross-disciplinary education with direct industry contact and practical experience in the exciting field of data science.

You'll study advanced topics from computing, statistics and mathematics, and your choice of electives from business, finance, health or science. Across the program, you'll learn how to make informed decisions in data-intensive environments.

You'll use relevant big data tools and technologies and develop essential knowledge about the ethical use of data, legal considerations, communication and more. In your final year, you'll also complete projects relevant to industry.

Program highlights

  • Benefit from the most comprehensive data science program in Australia.
  • Study advanced topics from computing, statistics and mathematics.
  • Learn how to make informed decisions in data-intensive environments.
  • Graduate with a combination of high-level technical skills and a capacity for creative and disruptive thinking.

Career possibilities

Postgraduate study can take you anywhere. Here are some of the careers you could be on your way to:
  • Market researcher
  • Data scientist
  • Risk analyst
  • Supply chain analyst
  • Business intelligence analyst
  • Data miner
  • Big data engineer
  • Portfolio manager
  • Actuarial and analytics consultant
  • Software developer

Programme Structure

Courses included:

  • Responsible Data Science
  • Data Analytics at Scale
  • Statistical Methods for Data Science
  • Data Science Capstone Project
  • Machine Learning
  • Database Principles
  • Mathematics for Data Science
  • Applied Probability & Statistics

Key information

Duration

  • Full-time
    • 24 months

Start dates & application deadlines

Language

English

Credits

32 alternative credits

Delivered

On Campus, Online

Academic requirements

GPA admission requirements GPA Your GPA, or Grade Point Average, is a number that indicates how well or how high you scored in your courses on average. Usually a GPA scales between 1.0 and 4.0, however different countries and universities can have different grading systems.
Required

English requirements

TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at designated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
87
IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).
6.5
PTE Academic admission requirements PTE Academic PTE Academic (Pearson Test of English Academic) is a language test that enables students to demonstrate their writing, listening, speaking, and reading skills when applying to study in English. The score refers to a total score which ranges between 10 and 90.
64
More about PTE Academic

Other requirements

General requirements

 CRICOS code: 092454G

  • Degree equivalent to an Australian bachelor degree in Mathematics or Statistics or Computing or related discipline, a GPA of at least 5.0 on a 7 point scale.
  • Related disciplines include but are not limited to Information Technology, Computer Science, Statistics, Mathematics, Engineering, Physics, Actuarial Studies.

Tuition Fee

  • International

    45120 AUD/year
    Tuition Fee
    Based on the original amount of 45120 AUD per year and a duration of 24 months.
  • National

    36820 AUD/year
    Tuition Fee
    Based on the original amount of 36820 AUD per year and a duration of 24 months.

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 6 months

Check the official programme website for potential updates.

Data Science
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University of Queensland

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