Digital skills and computing
Professional certificates can be studied fully online from anywhere in the world
These flexible learning upskilling knowledge and theory modules build credits towards a PG Cert, PG Dip and MSc award, if accumulated with others over time.
Worth 10 credits, they are ideal for those working within the computing sector or those seeking a career change. No formal entry requirements are specified to gain entry to these certificates.
Introduction to Cyber Security
Introduction to Cyber Security
Introduction to Cyber Security
Level: undergraduate module. SCQF level 7, 20 credits
Entry requirement: 2 Highers (in any subject) or relevant work experience
Duration: 14 weeks
Start week: 5 February, Applications extended to Monday 29 January
Assessments include creating a presentation, undertaking practical activities and a short report.
The module will allow you to get a basic practical understanding of cybersecurity and cyber resilience and the relationship between these two areas of security. This will enable you to have the awareness and confidence to protect yourself and support others online. The module content is at SCQF 7 however is appropriate for anyone with an interest in cyber security.
The course is designed to be taught when it is convenient for the students. No time off work will be required during the day and all activity is carried out online. There is normally a weekly lecture and support session that lasts for approx. an hour, or more if required, with further email support available. While the sessions are beneficial as they allow you to ask questions there and then, all lectures and tutorial sessions are recorded for viewing in your own time.
Study time: 200 hours per module, however it depends on your previous experience whether you will need all of this time. If you were able to set aside a day at the weekend or a couple of evenings for study, you would not be far off what is required for achieving the award.
Get Started with R for Data Analytics
Get Started with R for Data Analytics
Get Started with R for Data Analytics- closed
Level: undergraduate module. SCQF level 8, 20 credits
Entry requirement: Evidence of qualifications required for HND level study. Relevant work experience will also be considered for entry to this course
Duration: 14 weeks
Start week: 29 January. Applications now closed.
Assessment is in 2 parts:
- A 10 min pre-recorded presentation on the results of some data analysis (including visualisations)
- The code used to perform the data analysis and visualisations presented above.
This module gives students a practical introduction to R for the analysis and visualisation of data, including statistical analysis. With data increasingly available and utilised within all businesses this skillset is increasingly in demand within the workplace.
Analysing data often begins with visualising it, observing the relationships that appear and discovering anything unexpected. This module will teach you how to use the open-source statistical software R to visualise data including cleaning, preparing and summarising the data sets. Alongside the data visualisations, statistical analysis will be introduced with a reproducible report document format. The skills learned in the module are used in many fields and are applicable for use with many datasets, regardless of size.
R is a widely used tool throughout various industries and businesses. It has a large open-source community who contribute to the development of new tools and techniques, along with providing community support.
Study time: 200 hours of study, which will include teaching, self-directed study and assessment, with typically two one-hour tutor led discussions on a specific topic. However, there is no requirement to attend any face-to-face virtual sessions at specific scheduled times, discussions can be accessed at a time that suits you through the university’s virtual learning environment.