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Orbit AcademyComputer Science & AI Programme

Stage-specific projects, postgraduate research and collaborative publication

Stage-specific computer science and AI projects, with mentoring that extends into postgraduate research and collaborative publication.

From age 10, subject to assessment · GCSE · A-level · Undergraduate · Master’s · Doctoral

Explore the learning pathwaysArrange a complimentary project consultation

THE ORBIT APPROACH

Focused projects. Sustained academic development.

Give every stage of learning a shared purpose.

01 / ORBIT

One focused project

Teaching and practical work follow one coherent project.

02 / ORBIT

Stage-specific progression

Scope and challenge reflect the student’s preparation and goals.

03 / ORBIT

Mentoring and reviews

Mentor feedback clarifies progress and priorities.

04 / ORBIT

Work the student can explain

Develop work the student understands and can discuss.

01 / LEARNING PATHWAYS

A pathway for every educational stage.

From early exploration to postgraduate research, with the starting point matched to preparation and goals.

From age 10 / Foundations

Computational thinking & exploration

Individually scoped after assessment

  • Problem decomposition, logic and introductory programming
  • Guided interactive projects and an introduction to AI

Small projects build interest and confidence.

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GCSE / IGCSE

Programming foundations & first projects

Explorer

  • Programming, data structures and computer science foundations
  • Small application projects and introductory AI experiments

Complete an introductory project and explain the thinking behind it.

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A-level / Upper secondary

Subject exploration & an individual portfolio

Builder

  • Algorithms, software architecture, application development or an AI specialism
  • An individual project, technical documentation and academic discussion

Build individual work for subject exploration and application discussions.

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Undergraduate

Applied engineering & research readiness

Elite

  • Cloud systems, cross-platform applications or machine learning projects
  • Technical design, baseline comparisons and introductory research methods

Deepen engineering capability for research or professional objectives.

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Master’s

Research projects & manuscript development

Elite progression / Tailored research mentoring

  • Literature review, study design, experiments and data analysis
  • Research reports, manuscripts and submission preparation

Develop experimental work and a manuscript through a research project.

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Doctoral

Focused research & collaborative publication

Individual research plan

  • Research questions, methodological validation and reproducible experiments
  • Collaborative manuscripts, research communication and responses to reviewers

Develop a research contribution through collaborative writing and scholarly exchange.

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Stages are indicative; assessment determines the starting point and pace.

02 / CURRICULUM MAP

Three project disciplines

Choose a project discipline suited to the student’s interests and preparation.

01

CORE PROGRAMMING & SOFTWARE ENGINEERING

Core programming and software engineering

Develop programming and engineering capability through practical problem-solving.

02

MOBILE & DESKTOP APPLICATIONS

Mobile and desktop app development

Turn user needs and ideas into applications that can be demonstrated and evaluated.

03

ARTIFICIAL INTELLIGENCE & AI AGENTS

Artificial intelligence and AI agents

Explore AI capabilities and limitations through models, experiments and agent projects.

03 / PROJECT EXAMPLES

Apply knowledge to real problems

Illustrative projects; topics and scope are agreed individually.

01 / Core programming and software engineering

Cloud account management system

Build a cloud management system and understand how data, logic and services work together.

02 / Mobile and desktop app development

CardWise Wallet

Develop an application that connects everyday user needs with practical functionality.

03 / Artificial intelligence and AI agents

MomentoX

Explore an AI workflow that connects different forms of information with a tangible output.

04 / PROJECT TO PORTFOLIO

Individual capability. Work to show for it.

Outputs reflect the project and the student’s own participation and understanding.

GitHub code and version history

A record of development and individual contributions.

Technical documentation and demonstrations

Demonstrate the work and explain the decisions behind it.

Project reflection and review

Communicate what was learned and why it matters.

05 / RESEARCH & PUBLICATION

Postgraduate research & collaborative publication

Computer science and AI research mentoring, connecting practical investigation with collaborative manuscript development.

MASTER’S RESEARCH

Master’s: research & manuscript development

Investigate a focused question, developing research methods, experimental work and manuscript skills.

DOCTORAL RESEARCH

Doctoral: research & collaborative publication

Extend an established research direction through focused investigation, collaborative manuscripts and submission support.

From a research plan to submission and scholarly exchange.

  1. 01 / RESEARCH

    Define the research focus

    Agree a feasible focus and individual research objectives.

  2. 02 / RESEARCH

    Develop the research

    Build evidence through practical investigation and mentor collaboration.

  3. 03 / RESEARCH

    Manuscript & publication support

    Support collaborative manuscripts, submission preparation and responses to reviewers.

Collaboration and research outputs

Research scope, mentoring arrangements and intended outputs are agreed individually.

Authorship reflects substantive contributions; editorial and peer-review decisions remain with the publication venue.

Discuss research and publication support

06 / LEARNING PLANS

Three formats. Individually shaped.

Match the depth of guidance to the student’s stage and objectives.

Explorer

Groups of 2–6 · 45-minute lessons

For beginners or students with limited programming experience

  • Initial skills assessment
  • Introduction to programming and AI
  • Guided practical projects

Builder

One-to-one mentoring · 45-minute sessions

For students with prior knowledge who are ready to develop an individual project

  • Personal projects and portfolio development
  • Code review and formative feedback
  • Project presentations and academic interview preparation

Elite

One-to-one mentoring · 60-minute sessions

For students preparing for postgraduate study or technical careers

  • Advanced projects and research preparation
  • Individual project mentoring
  • Postgraduate admissions and career guidance

Teaching, mentoring and any certificate or reference provision are specified in the individual plan.

CONTACT Apply U

Arrange a complimentary project consultation

Clarify your aims · Review prior learning · Explore project options · Agree a programme

Find a suitable project through a discussion of preparation and goals.

Arrange a complimentary project consultationExplore our education advisory service