SQA Higher Tuitions - Computing Science Courses @ Edinburgh. Virtual Learning Available.

This is for young people in Scotland who require tuition for Nat 5 or Higher SQA. If you do not stay in Scotland, we cannot help you.

You must complete admission form and pay fee to join this tuition.

Higher Computing Science Tutoring Program:

ITPT are excited to announced our new timetable for Higher Computing Science Tuition at our Edinburgh centre and also via our virtual learning platform.

We offer high-quality, tutor-led computing science tuition designed to support students studying SQA Higher Computing Science. Our programmes are carefully structured to provide focused and effective learning within a supportive environment, delivered either in person or online to suit individual learner needs.

https://www.itpt.co.uk/courses/highers-computing-science/

Option 1: One to Five* (Weekly Class – Face to Face)

Starting Date : Saturday 5th September 2026

Time : Every Saturday 2pm to 3pm

Duration : 1 hour session each week.

Subject : Computing Science

Fee : £100 (monthly)

*No more than 5 students per class*

Option 2: One to Three (Weekly Remote – Online Class)

Starting Date : No Specific Dates, can be started at anytime.

Time : Please contact us either via email for the slot’s availability.

Duration : 1 hour session each week.

Subject : Computing Science

Fee : £150 (monthly)

eLearning/self-paced option will be available from July 2026. We can update you when this becomes available.

Knowledge Assessment:

To assess your current understanding, we provide an initial aptitude test. This helps determine your current level of knowledge and any areas that require focus.

Who is this course for?

This course is ideal for learners preparing for the SQA Higher Computing Science exam. It offers opportunities to develop and enhance skills in independent learning, teamwork, critical thinking, problem-solving, research, communication, and peer evaluation across a variety of contexts.

Topics Covered:

Our course is aligned with the SQA Higher Computing Science curriculum. The four key areas of study covered in detail are:

The course mentioned in the subject has four areas of study:

1. Software design and development

Candidates acquire a comprehensive understanding of advanced concepts and practical problem-solving techniques in software design and development. This is achieved through the use of appropriate modular software development environments. By engaging in the processes of analysis, design, implementation, testing, and evaluation, candidates develop modular programming and computational thinking skills. They also enhance their ability to explain the functionality of their programs. With a deep understanding of data types and computational constructs, candidates are able to create efficient and effective programs to address complex problems.

Key areas of focus include:

- Development Methodologies

- Analysis

- Design

- Implementation (Data Types and Structures)

- Implementation (Computational Constructs)

- Implementation (Algorithm Specification)

- Testing

- Evaluation

- Practice through Past Papers and Quizzes

2. Computer systems

Candidates deepen their understanding of how data and instructions are stored in binary form, as well as the various factors influencing system performance. They also develop awareness of the environmental impact of intelligent systems and gain insight into the security risks associated with computer systems. Additionally, candidates explore the precautions and legal frameworks that help safeguard these systems.

Key lessons covered include:

- Data Representation

- Computer Structure

- Environmental Impact of Intelligent Systems

- Security Risks and Precautions

- Practice through Past Papers and Quizzes

3. Database design and development

Candidates acquire in-depth knowledge, understanding, and advanced practical problem-solving skills in database design and development. This is achieved through a series of practical tasks, utilizing a minimum of three interrelated tables, implemented using SQL. Candidates apply computational thinking to analyze, design, implement, test, and evaluate solutions, employing a variety of development tools. Additionally, they demonstrate interpretative skills by addressing tasks that include complex elements in both familiar and novel contexts.

Core areas of study include:

- Analysis

- Design

- Implementation

- Testing

- Evaluation

- Practice through Past Papers and Quizzes

4. Web design and development

Candidates develop comprehensive knowledge, understanding, and advanced practical problem-solving skills in web design and development through a variety of practical and investigative tasks. They apply computational thinking to analyse, design, implement, test, and evaluate web-based solutions, utilizing a range of development tools including HTML, Cascading Style Sheets (CSS), and JavaScript. Candidates also enhance their interpretative skills by tackling tasks with

Description supplied by the event organiser.