Digital Innovation and Computing
AI and Digital Innovation in the Workplace
Campus Milton Road Campus
Qualification SCQF Level 8
Study mode Open learning
Start date
Oct 2026
Course enquiry form
Course overview
Are you working with data, AI, or digital tools and want to deepen your skills? Do you already hold a degree and want to strengthen your CV with advanced data science and workplace-focused AI capability?
Why Learn Data Science and AI?
Data and AI now shape every sector — from health care and engineering to marketing, cyber security, and the creative industries. Organisations rely on data-driven insight and AI-enabled innovation to improve decision-making, streamline processes, and drive meaningful change in the workplace.
Who Is This Course For?
- Professionals already working with tech, AI, or data
- Graduates seeking to enhance their CV with data science and digital innovation skills
- Learners with some existing Python programming experience
What you will learn
This programme builds strong data science capability while developing your confidence in AI-driven tools, automation, and digital innovation in workplace contexts. It is ideal for progressing into data-focused roles or enhancing your professional practice.
What You Will Learn
The course is delivered across two semesters, with two units per semester:
Semester 1
- Programming for Data
- Working with Data
Semester 2
- Communicating with Data
- Data Science Project
Across the 32-week programme, you will:
- Strengthen your analytical, communication, and problem-solving skills for data-driven roles.
- Explore a wide range of tools and techniques for data analysis
- Work with large datasets to generate insights using visualisations, dashboards, and automated workflows.
- Learn how AI tools can support workplace innovation, including responsible use, automation, and enhanced decision-making.
- Produce reproducible, automatable analyses of complex datasets.
- Apply your knowledge collaboratively during a group project focused on real-world workplace data challenges.
How the course is assessed
- This is an online course in which each group will have its own lecturer, and assessments will be released to students at each stage.
- Assessments take the form of coursework, programming assignments, and reports.
- Semester 1 focuses on building your data skills. The classes will be online, and you should be able to fit studying around your other commitments, but there are some formal assessment deadlines that you need to meet.
- In semester 2, you will take part in a group project and will be required to attend some informal online workshops.
- Your final project for this PDA will involve creating a group presentation and report. It is essential that you can work as part of a team to complete this course. Based on industry feedback, teamwork is one of the key skills for working in data science.
Number of days per week
- New work and tasks will be released every two weeks. It is estimated that this could require 4-6 hours per week of your time, depending on your experience level.
- During the group project, you will collaborate weekly.
Entry requirements
- This is an undergraduate-level course, and it is anticipated that those undertaking it will be qualified to PDA, HNC, HND, or Degree level, preferably in a related subject area, such as Technical, Scientific, or Mathematical.
- The coursework requires you to use programming, so you will need to be confident in using both Python and R without being taught the basics. There is a group project, and you must work synchronously as a team, with a weekly meeting at a set time and a set work schedule to complete the project.
English Proficiency Requirements
IELTS 6.5Progression and Articulation Routes
As this is a new course, we do not have a formally agreed-upon articulation pathway, but the following are suggested progression routes for candidates.
- HND Software Development
- HND Data Science
- Entry to an AI and data-related degree program
- Graduate Apprenticeship in Data Science
- Progression within your job role
Career options
- This is an ideal CPD course for those already in employment who need to upskill in data science, data programming, data visualisation, or data analytics.
- Entry-level data science, data analytics or business analysis roles.
Study Options
| Campus | Study mode | Start date | End date |
|---|---|---|---|
| Milton Road Campus | Open learning | 07/10/26 | 24/06/27 |
