Executive Education

Applied Data Science for Learning Environments

8 weeks
8 weeks
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Course description

Applied Data Science for Learning Environments

With a variety of datasets at our disposal, being able to use data to answer questions and gain insight into learner behaviour is a valuable tool in both research and applied practice.

Directly studying the effects of these artefacts is often very difficult, and data science offers methods of finding out “what actually happened” from the data, allowing developers and designers the opportunity to improve the use of technology, and aid students in their learning goals.

Suitability - Who should attend?

In order to be eligible for the Developing Digital Artefacts for Learning Postgraduate Micro-credential short course, you will need to possess (or be predicted to obtain) an upper second-class degree or equivalent from a UK university or recognised international institution.

You may also be eligible to apply with a lower second class degree plus 2 years’ work experience in design, computing or education, or no degree plus 5 or more years’ work experience in the above areas.

Standard English language requirements also apply. If English is not your first language, you must also have an up-to-date English language test certificate. We accept Academic IELTS certificates with a grade of 6.5 and no less than 6.0 in any band. Other forms of English language certificates are accepted.

For more information about admission requirements, please visit the university website

Outcome / Qualification etc.

Once you have finished this 8-week course, you will be awarded an official University of Birmingham Postgraduate Micro-credential certificate (worth 10 academic credits) and a transcript. You will be able to use these academic credits to apply for advanced entry to the University of Birmingham’s full Online PGCert Design for Learning Environments qualification.

By the end of this course you will be able to:

  • Critically understand and apply summary statistics.
  • Critically understand and apply summary machine learning to breakdown data.
  • Use appropriate data science technologies to summarise and visualise data stories.
  • Understand and apply the ethics of data.
  • Appreciate data science techniques for learning and education.
University of Birmingham
B15 2TT Birmingham West Midlands

University of Birmingham

The University of Birmingham has been challenging and developing great minds for more than a century. Characterised by a tradition of innovation, research at the University has broken new ground, pushed forward the boundaries of knowledge and made an impact...

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