Mrs Angela Reid, parent
June 2026
My daughter could code but kept scoring 4s on the written papers. Her tutor showed her exactly how the mark scheme is worded and how to justify design choices. ...

Expert 1-on-1 IB Computer Science tutoring for HL and SL. Build pseudocode fluency, master data structures and OOP, and reach Grade 6 or 7.
84%
reach Grade 6 or above
+1.7
average grade improvement
10+
years average tutor experience
Free
first lesson, no commitment
Specialist tutors with board knowledge, strong academic backgrounds, and proven grade-improvement records.
IB Computer Science ExaminerDr Alistair Grant
Cambridge PhD Computer Science · IB Examiner
IB Computer Science HL and SL, A-Level Computer Science (all boards)
Avg +1.8 grade improvement
OOP & Java SpecialistMs Priya Nair
Imperial MSc Computing · IB Teacher
IB Computer Science SL and HL — Option D, OOP, and algorithms
86% of students reach Grade 6+
IA & Solution SpecialistMr Lukas Bauer
TU Munich MSc Software Engineering
IB Computer Science HL and SL, Internal Assessment, data structures
Average IA score: 30/34
Tell us about your child and we'll match a specialist IB Computer Science tutor within 24 hours.
Degree-level subject specialists, many PGCE-trained, who teach to the UK exam standard.
Tutors who know the mark schemes and coach the exact phrasing that earns every mark.
Every tutor is interviewed, reference-checked, and background-verified before their first lesson.
You are paired with a specialist in your exact board and tier — never a generalist.
Our tutors build the computational thinking and precise technical language that are both required for Grade 6–7 in IB Computer Science — writing working code alone is not enough for the written papers.
Step 1
We start with recent marks, confidence blockers, and the exact exam board so sessions feel personal from lesson one.
Step 2
Tutors connect concepts to examiner language, worked examples, and the habits that turn knowledge into marks.
Step 3
Parents see what changed after each session: topics covered, next steps, and the grade trajectory we are building toward.
Systems in organisations, the systems development life cycle, deployment, change management, and human interaction with computers. A common source of easy marks lost through vague, non-technical answers on Paper 1.
The CPU and its components, primary and secondary memory, binary and hexadecimal representation, logic gates and simplified truth tables, and how an operating system manages resources.
Network types and topologies, the OSI layers, protocols and data packets, wireless networking, VPNs, and the trade-offs of security, speed, and reliability. Students must justify choices, not just describe them.
Thinking abstractly, ahead, procedurally and logically; flowcharts and pseudocode; standard algorithms including linear and binary search, bubble sort, and selection sort; and tracing algorithms by hand.
Classes, objects, encapsulation, inheritance and polymorphism, UML diagrams, and reading and writing Java. The most popular option, examined through code-based scenarios.
Static and dynamic structures, stacks, queues, singly and doubly linked lists, binary trees with traversals, recursion, and the reasoning behind choosing one structure over another.
How operating systems manage limited resources, virtual memory, scheduling and dispatching, plus control systems, feedback, and the role of sensors, transducers, and microprocessors.
A developed computational solution worth 20% of the final grade. We support the full cycle: consulting a real client, planning, designing and structuring the code, testing, and writing the criterion-referenced documentation and video.
Systems in organisations, the systems development life cycle, deployment, change management, and human interaction with computers. A common source of easy marks lost through vague, non-technical answers on Paper 1.
The CPU and its components, primary and secondary memory, binary and hexadecimal representation, logic gates and simplified truth tables, and how an operating system manages resources.
Network types and topologies, the OSI layers, protocols and data packets, wireless networking, VPNs, and the trade-offs of security, speed, and reliability. Students must justify choices, not just describe them.
Thinking abstractly, ahead, procedurally and logically; flowcharts and pseudocode; standard algorithms including linear and binary search, bubble sort, and selection sort; and tracing algorithms by hand.
Classes, objects, encapsulation, inheritance and polymorphism, UML diagrams, and reading and writing Java. The most popular option, examined through code-based scenarios.
Static and dynamic structures, stacks, queues, singly and doubly linked lists, binary trees with traversals, recursion, and the reasoning behind choosing one structure over another.
How operating systems manage limited resources, virtual memory, scheduling and dispatching, plus control systems, feedback, and the role of sensors, transducers, and microprocessors.
A developed computational solution worth 20% of the final grade. We support the full cycle: consulting a real client, planning, designing and structuring the code, testing, and writing the criterion-referenced documentation and video.
See this plan built around your child's exact paper.
Book Free Demo+1.7
average grade improvement
Strong programmers often underperform on Papers 1 and 2 because the marks reward precise terminology, justified choices, and correctly traced pseudocode — not just a working program. We drill exam-style questions against the mark scheme so students learn to explain, justify, and construct answers in the language the examiners reward.
The IA is a demanding, client-driven project marked against five strict criteria. Students lose marks through weak client consultation, thin design documentation, or untested code. We help scope a realistically ambitious solution, keep the documentation criterion-focused from the start, and structure the code so it demonstrates the required techniques.
HL students frequently stumble on hand-tracing recursion, linked lists, and tree traversals under exam conditions. We teach a consistent trace-table method and build intuition for stacks, queues, and trees so that dry-running code and constructing standard algorithms become reliable, repeatable marks.
June 2026
My daughter could code but kept scoring 4s on the written papers. Her tutor showed her exactly how the mark scheme is worded and how to justify design choices. ...
June 2026
The Internal Assessment was overwhelming until my tutor helped me scope it around a real client and keep every section tied to the criteria. It became my strong...
June 2026
We wanted an examiner for HL. The tutor knew exactly how abstract data structures and the case study are assessed and drilled trace tables until they were secon...

June 2026
My daughter was struggling with IB Mathematics HL and had almost given up hope of getting a 7. After just two months of weekly sessions with her ComboTutors tut...

June 2026
My son started tutoring for A-Level Physics about three months before his exams. His tutor was incredibly patient and broke down complex topics like electromagn...

June 2026
We needed help with GCSE Science for my son who found chemistry particularly challenging. His tutor made the sessions engaging and relatable—using real-world ex...
Join 3,000+ families
Book your free trial today.
Families usually want three things: a tutor their child respects, a plan that fits the real paper, and updates that make progress easy to follow.
We shortlist tutors who know the curriculum, teach clearly, and can coach the exact exam habits that lift marks.
Top-university academics and exam-savvy specialists.
Parents see what was covered, what improved, and what needs attention next, so progress never feels vague.
Structured feedback after every lesson block.
Sessions are matched to the student's board, tier, topic gaps, and exam timeline instead of generic subject tutoring.
Board-specific support with a measurable target grade path.
Ready to close the gaps? Start with a free demo.
Book Free DemoIB FAQ
They are broadly comparable. IB Computer Science HL adds abstract data structures, resource management and control, an annually changing case study, and a heavier Internal Assessment. A-Level Computer Science goes deeper into a single programming project and theory. Both reward precise terminology and computational thinking as much as coding ability.
Most schools take Option D (Object-Oriented Programming), examined through Java, and that is our most-requested area. We also support the other options and the pseudocode used across Papers 1 and 2. Tell us which option and language your school follows and we will match a specialist tutor.
Yes. The IA is worth 20% of the final grade and is marked against five criteria. We guide the whole process — client consultation, planning, design, developing and testing the solution, and the criterion-referenced documentation and screencast — while keeping the work fully your own for academic honesty.
Paper 3 at HL is based on a case study released by the IB each year on a specific topic. It rewards wider reading and applied understanding rather than recall. We help students research the case study, learn the relevant terminology, and practise structured extended responses against past mark schemes.
Starting in Year 1 (Grade 11) is ideal — solid foundations in computational thinking, computer organisation, and programming make Year 2 and the IA far more manageable. Students who begin in the final semester can still make strong gains with focused exam-technique and past-paper practice.
Every exam board, every tier. No hidden fees and no long contracts — start with a free trial lesson.

Book a free consultation and we will match you with a specialist IB Computer Science tutor who can make a real difference.