• Anytime
    Application Deadline
  • 365 days
    Duration

This Pre-Master Offers

Overview

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

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: 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!)

Programme Structure

Courses include:

  • Programming for Data Science
  • Computational Thinking and Big Data
  • Big Data Fundamentals
  • Big Data Analytics
  • Big Data Capstone Project

Detailed Programme Facts

English Language Requirements

This programme may require students to demonstrate proficiency in English.

Tuition Fee

  • International

    1350 USD/full
    Tuition Fee
    Based on the original amount of 1350 USD for the full programme and a duration of 365 days.
  • National

    1350 USD/full
    Tuition Fee
    Based on the original amount of 1350 USD for the full programme and a duration of 365 days.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.

5% discount coupon: Z7LZNQ4TN3B2JTWU valid for any free course + certificate upgrade

Funding

Check the programme website for information about funding options.

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.

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