Systems and Data
Computer organization, networks, data representation, databases, security and the impact of technology in real contexts.
IB Diploma Computer Science
IB DP Computer Science Standard Level
A structured SL route for the new IB DP Computer Science syllabus: first teaching August 2025 and first assessment May 2027, with clear theory, confident programming, case-study preparation, and IA support.
CS SL
TrackComputer Science
LevelStandard Level
FocusSL syllabus clarity
Papers & IA
Paper 1
Theory
Concepts and systems
Paper 2
Programming
Python or Java
Case Study
Current syllabus
Research and response
IA
Computational solution
Build, test, evaluate
Systems
Computational Thinking
Programming
Case Study
Internal Assessment
Route Navigator
Choose the right IB Computer Science level
SL and HL share a common foundation, while HL adds deeper systems, data structures, and programming depth for students who need the higher-level route.
Student Fit
Who should take CS SL?
Computer Science SL works best when the student's university goals, mathematical confidence, and preferred problem style match the course route.
Students taking IB Computer Science at Standard Level who want a clear map of theory, programming and assessment.
Learners who need Python or Java practice connected to IB-style algorithms, tracing, testing and written explanations.
Students who want step-by-step IA guidance from problem choice to testing, evaluation and final documentation.
Syllabus Map
CS SL syllabus, organized for scoring
The current IB Computer Science syllabus is organized around concepts, contexts, computational thinking, programming practice, the case study, and the IA.
Computational Thinking
Algorithm design, abstraction, decomposition, pseudocode, trace tables, testing and evaluation.
Programming
Python or Java practice for control structures, functions, arrays/lists, strings, files, debugging and readable solutions.
Case Study
Guided reading, research vocabulary, concept maps and practice responses for the current case study style.
Internal Assessment
Support for choosing a realistic client problem, building the solution, collecting test evidence and writing the evaluation.
Full Topic Breakdown
CS SL topic-wise syllabus
A practical, student-friendly map of what is taught inside each IB topic family.
01
SL Core
Build reliable foundations across theory, programming and computational thinking.
CS SL Syllabus
Core topics taught for this route
Systems fundamentals and computer organization
Data representation, networks and security
Algorithm design, pseudocode and trace tables
Python or Java programming practice
Testing, debugging and evaluation
Case study preparation
Computational solution IA
02
New Syllabus Habits
Prepare for a syllabus that rewards understanding, application and clear explanation.
CS SL Syllabus
Core topics taught for this route
Concept-first notes rather than memorised definitions
Programming linked to exam-style problems
Short written responses using correct technical terms
Case study research connected to syllabus themes
IA documentation built alongside development
Assessment
Exam and IA preparation
1
Paper 1 theory preparation with definitions, diagrams, applied examples and concise written explanations.
2
Paper 2 algorithm and programming preparation using Python or Java, trace tables, debugging and problem decomposition.
3
Case study preparation through guided reading, vocabulary banks, research notes and timed response practice.
4
Internal Assessment support for solution planning, development, testing evidence, evaluation and final presentation.
How Classes Run
Teaching plan
- Start with a syllabus map and identify whether theory, programming or IA is the urgent gap.
- Teach each concept with short notes, worked examples, exam questions and programming drills where relevant.
- Keep a running case-study glossary and response bank so revision is not left until the end.
- Build the IA in milestones: client problem, design, prototype, testing evidence, evaluation and final polish.
FAQ
Common questions about CS SL
Clear answers for parents and students comparing the current syllabus with the older course structure.
Is this for the current new IB Computer Science syllabus?
Yes. The course is organized for the new IB DP Computer Science syllabus: first teaching August 2025 and first assessment May 2027. Students sitting final exams in 2026 may still be on the older syllabus.
What is different from the older syllabus?
The older course was often treated as separate theory topics plus programming practice. The current approach expects students to connect systems, contexts, algorithms, programming, research and evaluation more fluently.
Do SL students need strong coding before starting?
No. SL students can start with basic programming and build steadily, but they do need regular practice in tracing, debugging and explaining code.
Can the IA be done in Python?
Yes, if Python is appropriate for the student's problem and school requirements. The focus is a clear computational solution with testing, documentation and evaluation.
How is SL different from HL?
SL covers the core theory, programming, case study and IA expectations. HL adds more depth, including more demanding systems knowledge, abstract data types, object-oriented programming and deeper problem solving.
When should a student start IA planning?
Ideally early, once basic programming is stable. Starting early avoids rushed projects and gives time for testing evidence and meaningful evaluation.
Outcome Focus
What students build in CS SL
SL syllabus clarity
Programming confidence
Case study readiness
IA progress
Next Step
Start with a route check, not guesswork.
Bring the student's current syllabus, recent test, or university target. The demo class can confirm whether CS SL is the right path and where to begin.