Data Science with Data Security


Access Data and Edinburgh College have launched a Data Science with Data Security course to help attendees to gain vital skills that are currently increasingly in demand with employers. The course provides a broader introduction to Data Science, focusing on data analysis and data security knowledge and skills.

The field of Data Science combines digital and data skills, specific knowledge about a particular topic or subject area, and numeracy skills to extract insights and knowledge from data. The ability to identify the problem to solve, the correct data to use, carry out the analysis and then implement the outcome requires the three above-mentioned areas to be brought together.

Data Science is becoming an essential part of how we live, learn and work. It is all about how we turn those insights extracted from data into actions. Many people are keen to learn more and understand this topic, and more employers are seeking applicants with experience of Data Science. Using the knowledge and skills from this course will help you to develop in your current or future job role.

To apply, fill out the below application form and email to MagdaGucman[at] For more information, please see the attached info-pack.

Access Data Courses Application form 2022
Data Science with Data Security (level 5-6) 2022 Info-Pack


No formal entry requirements, but Access Data eligibility criteria apply. Access Data is for those living in Edinburgh and are unemployed or on a low income; want to move into education, training or employment that is related to IT or Data; and belong to at least one of the following groups: have a disability or learning difficulty; are a woman; are an Armed Forces veteran; from a minority ethnic background.


Self-paced, flexible learning. Upcoming dates: 29 August 2022-24 January 2023.


Aims to equip participants with digital and data skills essential for life, education and work.


Delivered online with no live virtual class meetings. You will be provided with video tutorials, online study materials, learner forums and a dedicated lecturer providing feedback on submitted activities using an ePortfolio system.

Funding Partners

Data-Driven Innovation Logo