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Master of Data Science, Master Degree

UNSW Sydney Online, Australia . Cricos: 00098G

UNSW Sydney Online

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The award How you will study Study duration Course start Domestic course fees International course fees
Master DegreeOnline2 yearsJanuary, March, May, July, September, Octoberfind outfind out

About Master of Data Science, Master Degree - at UNSW Sydney Online

It takes sophisticated thinking to find the simple answers that lie underneath layers of increasingly complex, interwoven webs of data, and businesses are turning to people with the advanced technical and mathematical skills to unpick complexities and make sense of the numbers.

Delivered 100% online, the Master of Data Science explores more ways to organise, identify, analyse and ultimately use data to inform strategies, redefine ambiguous questions and find answers that make a genuine impact.

This program has been designed to deliver skills that are in the highest demand and the most difficult to find. Depending on where you wish to direct your Data Scientist career, you can specialise in areas such as machine learning, database systems or statistics. Regardless of what you choose to specialise in, the foundational skills you'll learn before you specialise are as broad as they are deep. You'll be in demand for diverse roles (even those yet to be imagined) across industries, creating a career that's dynamic and filled with potential.

Entry requirements

To be eligible for the Master of Data Science you must have:

Either

Completed the Graduate Diploma in Data Science with a WAM of 65 or higher OR

Completed an undergraduate degree in Data Science or cognate discipline (e.g., Computer Science, Economics, Mathematics, Statistics) AND  have sufficient Data Science background as indicated by an average mark of  70  or above across three Level III courses in Mathematics and/or Statistics and/or Computer Science and/or Econometrics.

Advanced standing or exemption can be granted in the program for cases where core courses were completed in a prior program.

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Related Information

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