Studyportals
Pre-Master Online

Big Data MicroMasters Program

edX - online learning platform

12 months
Duration
985 USD/year
985 USD/year
Unknown
Tuition fee
Anytime
Unknown
Apply date
Anytime
Unknown
Start date

About

EdX is an online learning platform trusted by over 12 million users offering the Big Data MicroMasters Program in collaboration with University of Adelaide - AdelaideX. Transform big data into business insights and solutions.

Visit the official programme website for more information

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

Lecturers

Expert instruction

Key information

Duration

  • Part-time
    • 12 months

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Credits

12 alternative credits

Delivered

Online
  • Self-paced

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Tuition Fee

To alway see correct tuition fees
  • International

    985 USD/year
    Tuition Fee
    Based on the tuition of 985 USD for the full programme during 12 months.
  • National

    985 USD/year
    Tuition Fee
    Based on the tuition of 985 USD for the full programme during 12 months.

Funding

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.

Our partners

Big Data MicroMasters Program
-
edX - online learning platform

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