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 in collaboration with University of Adelaide - AdelaideX, 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'll Learn:
- How to design algorithms
- Understand fundamental programming concepts including data abstraction, storage and structures
- Understand computational thinking which includes decomposition, pattern recognition, abstraction, algorithmic thinking, dimension reduction and Bayesian models
- Data-driven problem and algorithm design for big data
- Interpretation of data representation and analysis
- How to use analytical tools such as R and Hadoop
- 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: www.glassdoor.com)
- 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!)
Get more detailsVisit official programme website
- Programming for Data Science
- Computational Thinking and Big Data
- Big Data Fundamentals
- Big Data Analytics
- Big Data Capstone Project
Check out the full curriculumVisit official programme website
- 12 months
Start dates & application deadlines
DisciplinesInformatics & Information Technology Computer Sciences Data Science & Big Data View 173 other programmes in Computer Sciences in Australia
Explore more key informationVisit official programme website
We are not aware of any academic requirements for this programme.
We are not aware of any English requirements for this programme.
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International985 USD/yearTuition FeeBased on the tuition of 985 USD for the full programme during 12 months.
National985 USD/yearTuition FeeBased on the tuition of 985 USD for the full programme during 12 months.
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.
Double-check all feesVisit official programme website
Apply and win up to €10000 to cover your tuition fees.