Introduction to Digital and Data Innovation (SCQF level 6)

Course overview

Data Science is essential to modern living, learning, and working. It focuses on transforming data into meaningful insights that inform real-world decisions. Many individuals are keen to develop knowledge in this area, and employers are actively seeking candidates with data science skills.

This course is designed to help you develop practical, in-demand data skills that can support progression in your current role or enable a transition into a new career pathway.

Data Science combines:

• Digital and technical skills
• Subject-specific knowledge
• Numeracy and analytical thinking

You will learn how to define problems, identify relevant data, conduct analysis, and communicate actionable outcomes.

The course runs over 18 weeks and can be studied in person or online, with lecturer support throughout. On successful completion, you will achieve a National Progression Award (NPA) in Data Science at SCQF Level 6. You may then progress to the PDA in Data Science (SCQF Level 7).

This course is particularly suitable for individuals looking to upskill or reskill in a growing and highly employable field.

• Course Fees: £350 for the full award. Fees will be confirmed when an application has been processed.
• Some applicants may be eligible for fee remission

What you will learn

Data Science is multidisciplinary, combining computing, statistics, and business awareness.

The course comprises:

1. Data Science

This unit introduces core concepts and practical techniques, including:

• Applications of data science
• Data ethics
• Data analysis methods
• Data visualisation and dashboards

You will gain hands-on experience working with large datasets using industry-relevant tools.

2. Data Citizenship

This unit develops your understanding of the role of data in society and business.

You will:

• Interpret and create graphs and charts
• Understand how data is used and misused
• Explore data security, ethics, and legal responsibilities

This provides essential knowledge for responsible data use.

3. Human Skills and AI

This unit focuses on the human capabilities needed to work effectively alongside AI technologies.

You will:

• Recognise AI tools already used in everyday life
• Understand how AI works in accessible, practical terms
• Use AI in ways that keep people at the centre
• Collaborate with others on a short action project
• Build a personal portfolio demonstrating your skills

You will develop key areas of growth:

• Knowing yourself
• Thinking clearly
• Connecting with others
• Taking action collaboratively

Learning is assessed through a portfolio, allowing you to demonstrate your skills in a format that suits you.

This unit will be integrated into your Data Science Project, helping you apply both technical and human-centred skills when working with data and AI.

How the course is assessed

How the Course is Assessed

• Continuous, project-based assessment
• Weekly tasks (approx. 4 – 6 hours per week)
• Portfolio-based evidence of learning

Delivery:

• In person or Online (Milton Road Campus, Tuesdays, 9.30 AM - 12.30 PM) 
• Supported by Moodle and Microsoft Teams

Number of days per week

• Flexible learning using Moodle, an online learning platform and Microsoft Teams.

Entry requirements

• Confidence using Microsoft Office (especially spreadsheets).
• SCQF Level 5 qualification or equivalent experience.
• Open to learners from a wide range of backgrounds.

Information on Tests / Auditions / Interview Requirements

• Completion of a personal statement at the application stage.
• Once you have submitted your application form, you will receive an email asking you to complete an online multiple-choice test.

English Proficiency Requirements

Progression and Articulation Routes

On successful completion of this course and depending on your other skills, you could gain entry to the following courses:

• PDA Data Science SCQF Level 7 or 8
• HND Data Science
• Graduate Apprenticeship in Data Science
• BSc Data Science
• NPA Software Development and Web/Digital Design
• NPA Cyber Security and Networking

Career options

• This qualification provides a great addition to your CV.
• A course for further course progression.
• Data science jobs can include data analyst, systems analyst, data scientist, and software engineer.