This micro-credential equips students with the knowledge and skillset of Data Literacy and Analytics required in the 21st century. It enables students to gain the capability to collect, process, critique, analyse, visualise, and interpret data in an unbiased, responsible, actionable and ethical manner. It further prepares students with the ability to use tools and techniques to efficiently understand, interpret, and use data in their discipline.

The delivery mode will be online and asynchronous. There will be no synchronous face-to-face or online lecture/lab taking place throughout the semester. All resources will be available to students on the micro-credential Loop page and students will complete the topics at their convenient time in a self-paced manner. For attaining the best out of this micro-credential, students are highly advised to engage with the content every week over the semester.

There are seven online assessments corresponding to the seven topics. Students are encouraged to take the assessment immediately after they complete the content covered in that topic. Students are expected to pass all the seven topics to pass this micro-credential.

A Primary Honours degree, Level 8 in Electronic/Electrical/Computer Engineering, Applied Physics, Computer Sciences or other Cognate/Engineering Disciplines. Applications are also invited from diverse educational and/or employment backgrounds, with applications evaluated on a case-by-case basis.

And also to indicate the required documentation:

• Please provide Academic Transcripts for final year of study where appropriate (English translation)
• All applicants must submit a copy of their passport

If applicable, evidence of competence in the English language as per DCU entry requirements.

Please review the application instructions prior to starting your application.

In your application use micro-credential code CSC1015.