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Computer Science tuition

Computer Science Tuition & Coding Preparation

Computer Science Support from Primary Coding to A Level & Advanced Computing

Build strong computational-thinking skills, understand how computer systems work and develop the programming, algorithmic and problem-solving skills needed for school assessments, GCSEs, IGCSEs, A Levels, coding competitions and advanced academic pathways.

Dominis provides structured Computer Science and Coding support across:

  • Year 1–13
  • KS1–KS5
  • Coding Foundations
  • GCSE
  • IGCSE
  • AS Level
  • A Level
  • Python
  • C#
  • Algorithms
  • Programming
  • Computing Competitions
  • AP Computer Science
  • 1-to-1 & Small-Group Learning
  • Online & In-Centre
Every stage

Computer Science Learning at Every Stage

From introducing algorithms and basic coding in the primary years to developing advanced programming, data structures and computational thinking at A Level, our programmes support students throughout their computing journey.

  1. 1

    Foundations

    Years 1–6

    Develop early computational thinking, logical sequencing, digital awareness and age-appropriate coding skills.

  2. 2

    Secondary

    Years 7–9

    Build stronger understanding of programming, algorithms, data, networks and computer systems.

  3. 3

    GCSE

    Years 10–11

    Prepare systematically for GCSE Computer Science with both theory and programming support.

  4. 4

    IGCSE

    Years 10–11

    Develop specification-focused understanding for International GCSE Computer Science.

  5. 5

    Advanced

    Years 12–13

    Build advanced programming, algorithmic thinking and theoretical Computer Science for AS and A Level.

  6. 6

    Competitions

    Computing & Informatics Challenges

    Develop advanced algorithmic problem solving beyond the standard curriculum.

  7. 7

    International & Advanced Pathways

    AP Computer Science | Programming | Algorithms | Advanced Coding

    Support students following international Computer Science pathways or preparing for further study.

Year by year

Explore Computer Science by Year Group

Primary
Secondary
GCSE / IGCSE
Advanced

Primary

Year 1 Computer Science & Coding

Introduce computational thinking through simple, visual and age-appropriate activities.

Key Areas

  • Sequencing
  • Patterns
  • Instructions
  • Simple Algorithms
  • Logical Thinking
  • Digital Awareness
  • Problem Solving
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Key stages

Computer Science by Key Stage

  • 1

    KS1 Computing

    Years 1–2

    • Algorithms
    • Sequencing
    • Digital Skills
    • Logical Thinking
    • Online Safety
  • 2

    KS2 Computing

    Years 3–6

    • Programming
    • Variables
    • Loops
    • Conditions
    • Debugging
    • Computational Thinking
    • Digital Systems
  • 3

    KS3 Computer Science

    Years 7–9

    • Programming
    • Algorithms
    • Binary
    • Data
    • Networks
    • Hardware
    • Software
    • Cybersecurity
  • 4

    KS4 Computer Science

    Years 10–11

    • GCSE
    • IGCSE
    • Programming
    • Algorithms
    • Computer Systems
    • Exam Preparation
  • 5

    KS5 Computer Science

    Years 12–13

    • AS Level
    • A Level
    • Advanced Programming
    • Algorithms
    • Data Structures
    • Computer Systems

Exam pathways

Computer Science for Every Pathway

Choose the qualification, skill area or programme your child is working towards.

01

Primary Coding & Computing

Our primary coding programmes introduce students to computational thinking in a structured and age-appropriate way.

Students Develop

  • Logical Thinking
  • Problem Solving
  • Sequencing
  • Pattern Recognition
  • Algorithm Design
  • Debugging
  • Creativity
  • Digital Confidence

Coding Concepts

  • Sequence
  • Selection
  • Iteration
  • Variables
  • Inputs
  • Outputs
  • Functions Foundations

As students progress, they can move from visual programming concepts towards text-based coding.

02

KS3 Computer Science

Our KS3 support builds the bridge between foundational Computing and GCSE Computer Science.

Core Areas

  • Programming
  • Algorithms
  • Computational Thinking
  • Binary & Data Representation
  • Computer Hardware
  • Software
  • Networks
  • Cybersecurity
  • Databases
  • Boolean Logic

Students Develop

  • Programming Confidence
  • Algorithmic Thinking
  • Logical Reasoning
  • Debugging Skills
  • Technical Vocabulary
  • Problem Solving
03

GCSE Computer Science

Structured Computer Science preparation for Years 10 and 11.

Core Areas

  • Algorithms
  • Programming
  • Data Representation
  • Computer Systems
  • Networks
  • Cybersecurity
  • Databases
  • Boolean Logic
  • Ethical, Legal & Environmental Issues

Preparation Includes

  • Theory Revision
  • Programming Practice
  • Algorithm Design
  • Trace Tables
  • Pseudocode
  • Problem Solving
  • Past-Paper Practice
  • Exam-Style Questions
  • Mock Preparation
  • Exam Technique
  • Weak-Area Improvement

Exam Boards

  • AQA
  • OCR
  • Pearson Edexcel
  • Eduqas
  • WJEC

Exact content varies according to the student's exam board.

04

IGCSE Computer Science

Board-specific preparation for International GCSE Computer Science.

Exam Boards

  • Cambridge International IGCSE
  • Pearson Edexcel International GCSE
  • OxfordAQA International GCSE

Core Areas

  • Data Representation
  • Data Transmission
  • Hardware
  • Software
  • Internet Technologies
  • Cybersecurity
  • Algorithms
  • Programming
  • Databases
  • Boolean Logic

Support Includes

  • Concept Mastery
  • Algorithm Design
  • Programming
  • Pseudocode
  • Trace Tables
  • Past Papers
  • Timed Practice
  • Board-Specific Preparation
05

AS & A Level Computer Science

Advanced Computer Science support for students in Years 12 and 13.

Core Areas

  • Programming
  • Algorithms
  • Data Structures
  • Computer Architecture
  • Processors
  • Data Representation
  • Networks
  • Databases
  • Boolean Algebra
  • Software Development
  • Programming Paradigms
  • Computational Thinking

Exact coverage depends on the relevant examination board.

06

A Level Programming

Develop stronger practical coding and problem-solving skills.

Students Work On

  • Variables
  • Data Types
  • Selection
  • Iteration
  • Functions
  • Procedures
  • Arrays
  • Lists
  • Files
  • Searching
  • Sorting
  • Recursion
  • Object-Oriented Programming

Skills Developed

  • Program Design
  • Code Writing
  • Debugging
  • Testing
  • Validation
  • Code Efficiency
  • Documentation
  • Problem Solving
07

Algorithms & Computational Thinking

Algorithmic thinking sits at the heart of Computer Science.

Students Develop

  • Decomposition
  • Abstraction
  • Pattern Recognition
  • Algorithm Design
  • Pseudocode
  • Flowcharts
  • Trace Tables
  • Searching
  • Sorting
  • Efficiency
  • Logical Reasoning

Our Approach

  1. Understand the Problem
  2. Break It Down
  3. Design the Algorithm
  4. Code
  5. Test
  6. Debug
  7. Improve
08

Python Programming

Dominis provides structured Python coding support from introductory to more advanced levels.

Students Can Learn

  • Variables
  • Data Types
  • Inputs & Outputs
  • Conditions
  • Loops
  • Functions
  • Lists
  • Dictionaries
  • Files
  • Modules
  • Object-Oriented Programming

Students Develop

  • Programming Logic
  • Code Structure
  • Problem Solving
  • Debugging
  • Algorithm Implementation
  • Independent Coding Skills
09

C# Programming

Students can also develop structured programming skills using C#.

Areas May Include

  • Variables
  • Data Types
  • Conditions
  • Loops
  • Methods
  • Arrays
  • Classes
  • Objects
  • Object-Oriented Programming
  • Debugging

C# support can be adapted to the student's age, current programming experience and learning objectives.

10

Data Representation

Students learn how computers represent different types of information.

Areas Supported

  • Binary
  • Hexadecimal
  • Character Encoding
  • Images
  • Sound
  • Compression
  • Units of Data

At advanced levels, students may also study

  • Floating-Point Representation
  • Boolean Data
  • Data Structures
11

Computer Systems

Develop understanding of how computer hardware and software work together.

Areas Supported

  • CPU
  • Memory
  • Storage
  • Input Devices
  • Output Devices
  • Operating Systems
  • Utility Software
  • Embedded Systems

Students learn how system components interact rather than simply memorising definitions.

12

Networks & Cybersecurity

Develop understanding of how devices communicate and how computer systems are protected.

Networks

  • LAN
  • WAN
  • Network Topologies
  • Protocols
  • IP Addresses
  • DNS
  • Internet Technologies
  • Client-Server Systems

Cybersecurity

  • Threats
  • Malware
  • Phishing
  • Social Engineering
  • Authentication
  • Encryption
  • Firewalls
  • Network Security

Content is matched to the student's qualification and age.

13

Databases & Data

Students develop understanding of how structured information is stored, organised and retrieved.

Areas Supported

  • Tables
  • Records
  • Fields
  • Primary Keys
  • Relationships
  • Validation
  • SQL Foundations
  • Database Design

Advanced learners may also study

  • Relational Databases
  • Normalisation
  • SQL Queries
14

Boolean Logic

Students develop logical understanding of how computers make decisions.

Areas Supported

  • AND
  • OR
  • NOT
  • Truth Tables
  • Logic Gates
  • Boolean Expressions

At advanced levels, students may also work with

  • Boolean Algebra
  • Logic Simplification
  • Digital Logic
15

Programming Problem Solving

Successful programmers need to do more than memorise syntax.

Students learn to

  • Understand the Problem
  • Identify Inputs & Outputs
  • Break Problems into Smaller Parts
  • Design Algorithms
  • Select Appropriate Data Structures
  • Write Clear Code
  • Test Systematically
  • Debug Errors
  • Improve Efficiency
16

Computer Science Exam Skills

Computer Science examinations often combine theoretical knowledge with problem-solving.

Students develop

  • Technical Knowledge

    Use accurate Computer Science terminology.

  • Algorithm Interpretation

    Understand pseudocode and trace algorithms.

  • Programming Logic

    Predict and explain program behaviour.

  • Problem Solving

    Apply known concepts to unfamiliar situations.

  • Extended Responses

    Explain technical ideas logically and precisely.

  • Trace Tables

    Follow variable values through algorithms accurately.

  • Exam Technique

    Interpret command words and structure answers effectively.

  • Time Management

    Manage theory and programming questions efficiently.

17

Computer Science Competitions & Informatics

For students who want to take Computing beyond the standard school curriculum.

Competition Pathways May Include

  • Bebras Computing Challenge
  • British Informatics Olympiad
  • Algorithmic Programming Competitions
  • Informatics Challenges

Skills Developed

  • Algorithms
  • Logical Reasoning
  • Programming
  • Data Structures
  • Computational Thinking
  • Efficiency
  • Advanced Problem Solving

Preparation can support relevant computing, algorithmic and informatics challenges. Students learn to solve unfamiliar computational problems rather than rely on memorised methods.

18

British Informatics Olympiad Preparation

For students interested in advanced programming and algorithmic problem solving.

Preparation Focus

  • Algorithm Design
  • Competitive Programming
  • Data Structures
  • Logical Reasoning
  • Efficiency
  • Problem Decomposition
  • Programming Accuracy

Students Develop

  • Advanced Coding Skills
  • Efficient Algorithms
  • Independent Problem Solving
  • Computational Creativity
  • Structured Reasoning
19

Computer Science for University Preparation

Students considering competitive Computer Science, Mathematics, Engineering or related university courses may benefit from advanced programming and mathematical problem-solving support.

Depending on the university and course, admissions requirements may involve

  • Mathematics
  • Further Mathematics
  • TMUA or Other Admissions Assessments
  • Programming Experience
  • Algorithmic Problem Solving

Requirements vary by institution and admissions cycle, so preparation should always be matched to the student's current target universities.

20

TMUA for Computer Science Applicants

Some students applying to mathematically demanding Computer Science courses may need or choose to prepare for the Test of Mathematics for University Admission (TMUA) where relevant.

Preparation Focus

  • Mathematical Thinking
  • Logical Reasoning
  • Problem Solving
  • Mathematical Arguments
  • Timed Questions

TMUA requirements depend on the student's chosen university and course.

21

AP Computer Science

Support is available for students following Advanced Placement Computer Science pathways.

  • AP Computer Science A

    • Programming
    • Java
    • Object-Oriented Programming
    • Algorithms
    • Data Structures Foundations
    • Problem Solving
  • AP Computer Science Principles

    • Computing Systems
    • Data
    • Algorithms
    • Programming
    • Networks
    • Cybersecurity
    • Impact of Computing

Preparation is matched to the student's specific AP course.

Skills

Computer Science Skills We Develop

  • Skill 01

    Programming

    • Code Writing
    • Debugging
    • Testing
    • Functions
    • Data Structures
    • Object-Oriented Programming
  • Skill 02

    Algorithms

    • Pseudocode
    • Flowcharts
    • Searching
    • Sorting
    • Decomposition
    • Efficiency
  • Skill 03

    Computational Thinking

    • Decomposition
    • Abstraction
    • Pattern Recognition
    • Logical Reasoning
  • Skill 04

    Computer Systems

    • Hardware
    • Software
    • CPU
    • Memory
    • Storage
    • Operating Systems
  • Skill 05

    Data

    • Binary
    • Representation
    • Databases
    • Data Structures
    • Encoding
  • Skill 06

    Networks

    • Protocols
    • Internet
    • Topologies
    • Cybersecurity
    • Communication
  • Skill 07

    Problem Solving

    • Algorithm Design
    • Programming Challenges
    • Unfamiliar Problems
    • Debugging
  • Skill 08

    Exam Skills

    • Technical Terminology
    • Trace Tables
    • Past Papers
    • Extended Answers
    • Timing
    • Exam Strategy

Why Dominis

Why Choose Dominis for Computer Science?

17reasons families
choose us
Book a FREE Computer Science Demo
  1. 01Year 1–13 Computing & Computer Science Support
  2. 02Primary Coding to A Level Preparation
  3. 03GCSE & IGCSE Computer Science
  4. 04AS & A Level Computer Science
  5. 05Python & C# Programming
  6. 06Programming & Algorithm Development
  7. 07Computational Thinking
  8. 08Data Structures & Problem Solving
  9. 09Networks, Databases & Cybersecurity
  10. 10Exam-Board Aligned Teaching
  11. 11Past-Paper & Exam-Style Practice
  12. 12Computing & Informatics Competition Preparation
  13. 13AP Computer Science Support
  14. 141-to-1 & Small-Group Learning
  15. 15Personalised Weak-Area Support
  16. 16Regular Assessments
  17. 17Online & In-Centre Learning

Start with a conversation

Find the Right Computer Science Programme

Whether your child is:

  • Learning coding for the first time
  • Building computational-thinking skills
  • Starting KS3 Computer Science
  • Preparing for GCSE or IGCSE
  • Studying A Level Computer Science
  • Learning Python or C#
  • Preparing for a computing competition

or:

  • Working towards a competitive Computer Science degree

Dominis can provide structured Computer Science support matched to their academic stage and goals.