MicroMasters Program in Big Data by University of Adelaide [Online, 1 Year]: Enroll Now!

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About the Program

Big data is changing the way businesses operate. Driven by a new scale of data collection that provides massive levels of information, businesses are now able to analyse and gather data insights to make better-informed decisions.

Data scientists and business analysts are in high-demand as companies look to use data to improve their business operations.

In this Big Data MicroMasters program, you will learn tools and analytical methods to use data for decision-making, collect and organise data at scale, and gain an understanding of how data analysis can help to inform change within organisations.

You’ll develop both the technical and computational skills that are in high demand across a range of industries. You’ll develop critical skills in programming for data science, computational thinking, algorithm design, big data fundamentals, and data-driven analysis, with plenty of opportunities to apply and explore your new learnings through a range of case studies.

What you will learn?

  • How to design algorithms
  • Understand fundamental programming concepts including data abstraction, storage and structures
  • Understand computational thinking which includes decomposition, pattern recognition and abstraction
  • Data-driven problem and algorithm design for big data
  • Interpretation of data representation and analysis
  • Understand key mathematical concepts, including dimension reduction and Bayesian models
  • How to use analytical tools such as R and Java

Instructors

  • Aneta Neumann
    Postgraduate Researcher, School of Computer Science
    University of Adelaide
  • Katrina Falkner
    Head – School of Computer Science
    University of Adelaide
  • ​Claudia Szabo
    Senior Lecturer, School of Computer Science
    University of Adelaide
  • Nick Falkner
    Associate Professor, School of Computer Science
    University of Adelaide
  • David Suter
    Professor of Computer Science
    University of Adelaide
  • Lewis Mitchell
    Lecturer in Applied Mathematics
    University of Adelaide
  • Simon Tuke
    Lecturer in Statistics
    University of Adelaide
  • Frank Neumann
    Professor, School of Computer Science
    University of Adelaide
  • Gary Glonek
    Associate Professor, School of Mathematical Sciences
    University of Adelaide
  • Lingqiao Liu
    Researcher, School of Computer Science
    University of Adelaide
  • Gavin Meredith
    Research Associate, School of Computer Science
    University of Adelaide
  • Ian Knight
    Lecturer, School of Computer Science
    University of Adelaide
  • Markus Wagner
    Senior Lecturer, School of Computer Science
    University of Adelaide
  • Wanru (Kelly) Gao
    Lecturer, School of Computer Science
    University of Adelaide
  • Vahid Roostapour
    PhD Student, School of Computer Science
    University of Adelaide

To enroll in this program, click the link below.

MicroMasters Program in Big Data by University of Adelaide

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