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The University of Queensland

Brisbane , Queensland ,Australia

Master of Data Science (MDataSc)

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.

This 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.

Since data underpins the digital economy, there are enormous opportunities for data scientists to revolutionise the way we work, live and communicate. With a Master of Data Science you'll be expertly prepared to work in Australia or overseas across a large number of industry sectors, government agencies and high technology companies, as well as consulting and market research firms.

State-of-the-art facilities
The school is home to facilities including a big data lab with relevant tools and technologies; more than 400 Windows, Unix and Apple workstations; more than 20 specialist computer labs (including 10 with 24-hour access); and a university-wide 802.11ac Wi-Fi network.

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.

 

Campus Information

St Lucia

Situated on 114 hectares of Brisbane River-bound land, UQ’s main campus is a vibrant mix of majestic sandstone buildings and contemporary architecture, landscaped gardens and lakes. Fanning out from the heritage-listed Great Court, you’ll find modern teaching and research facilities, including laboratories, lecture theatres, and Queensland’s largest research library. The expansive grounds are also home to a variety of sporting facilities, museums, cafes, and those famous Jacaranda trees. The St Lucia campus is only seven kilometres from Brisbane’s city centre, making it an appealing place to study, work or visit.

Intakes

  • Feb
  • July

Application Processing Time in Days: 28

Application Process

Days

Minimum English Language Requirements

English Level Description IELTS (1.0 -9.0) TOEFL IBT (0-120) TOEFL CBT (0-300) PTE (10-90)
Expert 9 120 297-300 86-90
Very Good 8.5 115-119 280-293 83-86
Very Good 8 110-114 270-280 79-83
Good 7.5 102-109 253-267 73-79
Good 7 94-101 240-253 65-73
Competent 6.5 79-93 213-233 58-65
Competent 6 60-78 170-210 50-58
Modest 5.5 46-59 133-210 43-50
Modest 5 35-45 107-133 36-43
Limited 4 32-34 97-103 30-36
Extremely Limited < 4 < 31 < 93 < 30

Job Opportunity Potential

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
  • Systems software engineer

PSW Opportunity

2 years of Post-Study Work (PSW) rights to international students post completion of their respective Postgraduate.

 

Admission Requirement / Eligibility Criteria

Prerequisites
Degree equivalent to an Australian bachelor degree in Mathematics or Statistics or Computing or related discipline, with significant studies in mathematics, statistics and computing and a GPA of at least 5.0 on a 7 point scale. Applicants must have completed a minimum of 3 mathematics courses, 2 statistics or probability courses and 3 computer science courses.

Related disciplines include Information Technology, Computer Science, Statistics, Mathematics, Engineering, Physics, Actuarial Studies.