Big Data MicroMasters

Learn how to transform big data into business insights and solutions as you learn essential data science skills and tools to advance your career.

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.

MicroMasters Program details

How To Earn The MicroMasters Program Certificate
Complete and successfully earn a Verified Certificate in all 4 Big Data courses plus the Capstone Project course.

Take Your Credential To The Next Level
The Big Data MicroMasters program from AdelaideX provides a graduate-level foundation in data science.

Courses in the MicroMasters Program

Job outlook

A McKinsey Global Institute study states that by 2018, the US will be facing a shortage of about 190,000 data scientists and 1.5 million managers and analysts who can understand and make decisions using Big Data. (Source: edureka!)
A report by Glassdoor shows that the median salary for a Data Scientist is US$116,000. (Source: )
The average salaries for jobs with titles related to Big Data are Big Data Scientist, US$123,000, Lead Data Scientist, US$108,000, Data Scientist and Principal Data Scientist US$102,000. (Source: edureka!)
Career prospects for people with data science skills and training include data scientist, data engineer, data architect, data administrator, data analyst, business analyst, data or analytics manager and business intelligence manager. (Source: edureka!)

Hear from one of our learners

Meet Tadro, an edX learner from Australia. He shares his experience of taking the Big Data MicroMasters® Program from AdelaideX, and how this has helped him move from the field of chemical engineering, into the field of data analysis.

Real career impact

The chief economist of Google, Hal Varian, predicted in 2009 that the sexiest job over the next decade would be data scientists. We believe this prediction has come true. Not only has the amount of data captured continued to increase exponentially, so too has the reliance on the analysis of this data by large businesses to optimise their operations. At present the demand for talented data scientists is greater than the supply, and this demand is growing very quickly. The ��˴�Ƭ's Big Data MicroMasters program plans to help meet this growing demand by enabling students to build deep skills and expertise in working with data.

Matt Kuperholz

Chief Data Scientist, PwC

What you'll 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

Study a Master of Data Science at the ��˴�Ƭ

Learners who successfully complete the Big Data MicroMasters Program and successfully gain admission to the Master of Data Science or Master of Data Science (Applied) Online at the ��˴�Ƭ will be granted 12 units of credit towards the Master’s program. The Big Data MicroMasters Program certificate represents 25% of the Master of Data Science program, which requires 48 units of coursework to complete.

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