• Anytime
    Application Deadline
  • 56 days
    Duration
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Overview

Improvements in modern biology have led to a rapid increase in sensitivity and measurability in experiments and have reached the point where it is often impossible for a scientist alone to sort through the large volume of data that is collected from just one experiment. 

The programme

The Statistical Analysis in Bioinformatics course is part of the Bioinformatics MicroMasters Program from the University of Maryland University College - UMUCx .  

For example, individual data points collected from one gene expression study can easily number in the hundreds of thousands. These types of data sets are often referred to as ‘biological big data’ and require bioinformaticians to use statistical tools to gain meaningful information from them.

In this course, part of the Bioinformatics MicroMasters program, you will learn about the R language and environment and how to use it to perform statistical analyses on biological big datasets.  

Detailed Programme Facts

  • Deadline and start date A student can apply at any time for this programme, there is no deadline.
  • Programme intensity Part-time
    • Average part-time duration 56 days
    • Intensity 8 hrs/week
    • Part-time variant
      Flexible
    • Duration description

      8 weeks, 8-10 hours per week

  • Languages
    • English
  • Delivery mode
    Online
  • More information Go to the programme website

Programme Structure

What you'll learn:

  • Basic R Programming
  • Applying packages in the R environment to determine changes in gene expression
  • Applying packages in the R environment to locate genes in a full genomic sequence

English Language Requirements

This programme may require students to demonstrate proficiency in English.

General Requirements

Prerequisites:

  • Undergraduate biology
  • A programming language
  • Undergraduate statistics

Tuition Fee

  • Add a Verified Certificate for $249 USD

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Funding

Check the programme website for information about funding options.

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