SEC G3 Biotechnology Examinations | What to Do (SEAB K375): first confirm that your school is approved to offer G3 Biotechnology as an Applied Subject, and that the student is registered for K375 in 2027. Next, prepare for three compulsory components: a 45-minute multiple-choice paper worth 20%, a 1-hour-45-minute structured paper worth 50%, and a 15-hour supervised biotechnology investigation worth 30%. This subject tests biological reasoning, numerical data, experimental design and ethical evaluation—not just memorisation of laboratory terms.
Quick answer for parents: K375 was formerly Applied Subject NP04. Paper 1 has thirty compulsory four-option MCQs (30 raw marks). Paper 2 has 80 marks of compulsory structured questions. Paper 3 is a 100-mark project: three hours of planning (15), three scheduled supervised laboratory sessions (45), and an experimental report (40). The content spans cells/biomolecules, gene technology, microbial biotechnology, animal cell culture, plant biotechnology and applications. SEAB states that 2028 will be the FINAL examination year for the Applied Subjects K375/K376; school approval and examining-agency fees also apply. Students should therefore check their actual offering and cohort instead of assuming this pathway will continue indefinitely.
- 2027 SEC K375: G3 Biotechnology, former code NP04; Applied Subject for approved schools only.
- Paper 1: 45 minutes, thirty compulsory MCQs, 30 raw marks, 20% of the subject.
- Paper 2: 1 hour 45 minutes, compulsory structured questions, 80 marks, 50%.
- Paper 3: 15-hour supervised Structured Project in Secondary 4, 100 marks, 30%.
- Project breakdown: Project Plan 15 (three hours); Experimental Skills 45 (three scheduled lab sessions); Report 40.
- The project logbook needs a timeline, appropriate controls, replicates, authentic observations and documented modifications.
- Six content groups: Cells/Biomolecules, Gene Technology, Microbial Biotechnology, Animal Cell Culture, Plant Biotechnology, Applications.
- Knowledge/understanding 30%, handling information/problems 40%, experimental skills 30% overall.
- SEAB-approved calculators can be used in all papers under its published rules.
- 2028 is the last examination year announced for these G3 Applied Subjects; confirm school provision, charges and registration.
- All physical culturing, biological samples, experimental apparatus and disposal belong in authorised laboratories with qualified supervision.
SEAB official 2027 G3 Biotechnology K375 syllabus, project rubric and learning outcomes
The G3 Applied Subject rule that changes a parent’s decision
Biotechnology is not an elective that every secondary school can add on demand. SEAB’s 2027 G3 list specifies that Applied Subjects are available only at schools approved to offer them, with additional fees set by the examining agencies. The same official page identifies 2028 as their last examination year. This is a time-bound fact about the examined qualification, not a claim that biotechnology degrees, laboratory careers or other science courses are disappearing. If your child has just entered Secondary 1, do not assume that the 2027 K375 syllabus will be available in their eventual examination year; ask the school for the actual cohort’s options.
The 2027 SEC records subjects at their registered G-level under Full Subject-Based Banding. A posting group alone does not confirm the precise electives taken by an individual learner. Check the current school subject offering, future examination arrangements, the student’s entry proof and any agency fee. Biotechnology K375 is different from G3 Biology K325. Biology supports foundational knowledge about organisms; K375 additionally introduces specific technology applications and an assessed structured investigation. Having strong Science grades does not automatically confer laboratory access or project eligibility.
Three-paper assessment: use the real mark scheme
| Component | Duration | Raw marks | Overall weight | Candidate must do |
| Paper 1 MCQ | 45 minutes | 30 | 20% | All thirty four-option questions |
| Paper 2 Structured | 1h45 | 80 | 50% | All structured questions on the full syllabus |
| Paper 3 Project Plan | 3 hours within project | 15 | Within 30% | Document test choices, controls, replicates and project timeline |
| Paper 3 Experimental Skills | Three scheduled lab sessions | 45 | Within 30% | Conduct authorised procedures and keep authentic logbook records |
| Paper 3 Report | Within the 15-hour project scheme | 40 | Within 30% | Analyse actual results, evaluate methods and apply understanding |
The official assessment objectives are Knowledge with Understanding 30%, Handling Information/Solving Problems 40% and Experimental Skills/Investigations 30% overall. Theory papers evaluate both knowledge and unfamiliar data reasoning. A candidate may need to interpret a DNA gel drawing, a growth curve or concentration data that they have never seen before, then use prescribed concepts to explain it. The project explicitly tests planning, safe operation and evidence evaluation. Correct terminology is necessary, but it is not the whole skill.
The six content areas and what each explains
- 1. Cells and Biomolecules: bacterial prokaryotes versus plant/animal eukaryotes; structural roles of proteins, nucleic acids, carbohydrates and lipids.
- 2. Gene Technology: DNA/RNA/protein relationships, mutations, recombinant DNA concepts, PCR, gel analysis, protein analysis, genomics and bioinformatics.
- 3. Microbial Biotechnology: bacterial growth phases, environmental conditions, classification, characterisation and applications in food, industry and agriculture.
- 4. Animal Cell Culture: primary cultures and cell lines, growth conditions, specialist apparatus, viability, concentration calculations and controlled cell maintenance.
- 5. Plant Biotechnology: totipotency, plant tissue culture, media, growth regulators, genetic transformation and social questions about modified crops.
- 6. Applications: genetic profiling, molecular diagnostics, transgenic animals, biologics, bioremediation and fermentation applications.
These content groups are connected by a simple scientific logic: living cells have structures and molecules; genetic information can be studied and sometimes modified; biological processes can produce measurable outcomes; and application decisions involve constraints, risks and stakeholders. Students should connect mechanism to evidence instead of treating each named technique as a flashcard. A PCR diagram says something different from a protein-separation result; a clean cell image is not proof of a product’s clinical usefulness. To make an answer reliable, identify what was actually measured and what the measurement can establish.
Paper 1 MCQ: recognise concepts without guessing from familiar words
Thirty MCQs in forty-five minutes leave limited room for an extended essay-style analysis. A good practice method is to read the command, classify what is being tested, eliminate alternatives that contradict a fundamental relationship, and record any uncertain item for review if the permitted paper procedure allows it. Questions can test cell structures, technology steps at conceptual level, unit conversions or ethical interpretations. A distractor that contains the word DNA is not necessarily correct simply because the question mentions genes.
After each timed practice, sort wrong answers by root cause. Were two cell structures confused? Did the student mistake an RNA process for DNA replication? Did they ignore an axis unit on a graph? Did they read ‘all’ instead of ‘some’? Write the correction as a principle and apply it to a changed unseen question. This is better than copying the right letter and moving on. Over several weeks, fewer repeats of the same conceptual error should show real improvement.
Paper 2 Structured: calculations, unfamiliar data and justified inference
The 80-mark structured paper is worth half the subject, so it needs systematic practice. Read graphs, diagrams, tables and any given experimental scenario before writing. If the task asks to calculate, show the correct units, substitution and reasonable significant figures. If it asks to explain, connect a biological mechanism to the observation. If it asks to compare, include both meaningful similarities and differences rather than a single list. If it asks to evaluate an application, distinguish what evidence supports from what remains uncertain or ethically contested.
For example, a hypothetical comparison of two protein-production systems might show a difference in protein processing and yield. A thoughtful answer would consider whether bacterial cells and animal cells perform all necessary modifications equally, and which evidence would be needed to decide suitability. It would not simply say one system is always faster or better. When a biotechnology technique has medical implications, the exam tests concepts and reasoning; a school article should not treat a simplified classroom diagram as medical advice or a clinical test result.
A safe worked calculation: concentration and dilution
Imagine a teacher-created numerical task: a stock solution is 10 units of concentration and a desired solution is 2 units, with a final volume of 50 mL. Under the specified dilution relationship C1V1 = C2V2, the required stock volume is V1 = (2 × 50)/10 = 10 mL. This is a mathematical exercise about concentrations only, not instructions for preparing biological reagents. The student should state the assumed units and identify which concentration is stock versus target. If the question provides incompatible units, convert them before substitution.
The next independent test changes the target volume or uses a percentage concentration. Ask the learner to check the result’s scale: the volume of a more concentrated stock should not exceed the final volume when the target is lower, under this simple model. This sanity check catches reversed variables. The syllabus includes molarity, % w/v, % v/v and seeding-density calculations; actual substances and procedures must be handled solely under school-authorised laboratory conditions.
Paper 3: why 15 hours of project work cannot be replaced by a neat home report
The project begins with a three-hour experimental plan and timeline, worth fifteen marks. It then has three scheduled laboratory sessions worth forty-five marks, followed by a report worth forty. SEAB’s appendix explicitly rewards appropriate tests, controls, replicates and a realistic timeline, as well as the recording of procedures, modifications and results. It also includes safe handling, correct personal protective equipment where relevant and appropriate disposal. A candidate who only submits a beautifully formatted report but lacks genuine observations has not demonstrated the required experimentation.
A project logbook should record what question was examined, what was actually attempted under supervision, what observation occurred and why a modification was warranted. Do not erase anomalous results, relabel photographs or add trials that never happened. A failed comparison can be scientifically informative if the limitations are analysed accurately. Similarly, a reported difference between two experimental conditions is not automatically proof of causation if no meaningful control, proper comparison or replication exists. Teachers are responsible for safe and authenticated lab activity; external tutoring should limit itself to general conceptual understanding.
Controls, replicates and real scientific evidence
A control provides an appropriate comparison, while replicates help distinguish a consistent pattern from random variation and measurement noise. These are not the same thing. In a hypothetical classroom dataset, a measured value might vary from replicate to replicate even when the procedure was intended to be identical. A student should not cherry-pick the prettiest result. The correct report could use a table, appropriate average and an analysis of variability, and should avoid claiming certainty beyond what the data can support.
The syllabus’s project assessment includes analysis of observations, evaluation and experimental design in a new scenario. This means a student should be able to explain why a proposed test would reveal useful information without needing to know the official project question in advance. Home revision can safely involve analysing fictional datasets, checking units or comparing diagrams. It should not involve unsupervised culturing of microorganisms, handling specialist cell cultures or performing genetic manipulation outside approved facilities.
Twenty-eight Biotechnology mistakes and how to repair them
1. K375 treated as ordinary Biology
Typical error: The learner uses only a general Biology paper and ignores the applied project.
Repair: Confirm the K375 applied scheme, three compulsory components and approved-school condition.
Illustration: K325 Biology and K375 Biotechnology have different assessed scopes.
Independent check: Write a one-page comparison of the subject codes and three papers.
Why it matters: Correct examination identity prevents missing assessment.
2. 2028 final year overlooked
Typical error: A parent assumes the Applied Subject must remain available to every later graduating cohort.
Repair: Use SEAB’s explicit final-year announcement and ask the school for cohort-specific alternatives.
Illustration: A 2027 Secondary 1 student may have a later graduation year than 2028.
Independent check: Check the actual child’s future entry year against official availability.
Why it matters: Time horizons change subject decisions.
3. Laboratory safety separated from grades
Typical error: A candidate treats personal protective equipment and waste handling as optional.
Repair: Follow supervisor instructions and include safe practice in project planning.
Illustration: A valid result never justifies unsafe work with biological material.
Independent check: Review a lab-safety scenario with the teacher.
Why it matters: Safety is part of assessed experimental skill.
4. Bacteria and eukaryotes conflated
Typical error: The answer assumes bacterial cells contain a conventional membrane-bound nucleus.
Repair: Compare the bacterial nucleoid with eukaryotic nuclei and key organelles.
Illustration: A bacterial cell’s DNA arrangement differs from a plant cell nucleus.
Independent check: Label two fictional cell diagrams without copying.
Why it matters: Structural distinctions support mechanism.
5. DNA, RNA and proteins treated as synonyms
Typical error: The learner describes genetic instructions and translated products as the same molecule.
Repair: Trace information from genetic sequence to RNA to protein at conceptual level.
Illustration: DNA stores encoded information; proteins may perform catalytic or structural roles.
Independent check: Explain each information stage on a new schematic.
Why it matters: Different biomolecules have different functions.
6. Replication confused with transcription
Typical error: A process generating RNA is called DNA replication.
Repair: Identify starting molecule and product before naming the process.
Illustration: DNA-to-RNA information flow differs from DNA-to-DNA copying.
Independent check: Classify three labelled arrows in a new diagram.
Why it matters: Correct process identity prevents downstream errors.
7. Mutation always described as harmful
Typical error: Every change in a DNA sequence is said to cause disease.
Repair: Explain possible outcomes and evidence limits for the specified sequence change.
Illustration: A sequence alteration can be neutral, harmful or occasionally beneficial.
Independent check: Evaluate a fictional variant without assuming its clinical outcome.
Why it matters: Genotype effects need evidence.
8. Plasmid function memorised as ‘circle’
Typical error: A student recognises plasmid shape but cannot explain its use as a genetic vector.
Repair: Connect origin, selection markers and relevant insertion sites to the conceptual role.
Illustration: Shape alone does not establish what a plasmid will express.
Independent check: Explain why a labelled element appears on a schematic.
Why it matters: Parts are meaningful through function.
9. PCR mistaken for full genetic certainty
Typical error: An amplified signal is treated as definitive identity or diagnosis.
Repair: Describe amplification and the need for appropriate controls, assay validity and interpretation.
Illustration: Finding an amplified fragment does not automatically prove a clinical diagnosis.
Independent check: List what additional evidence a fictional test might require.
Why it matters: A method’s output has limits.
10. Gel electrophoresis interpreted by colour
Typical error: A band image is labelled positive without size or reference context.
Repair: Read lane labels, comparison standards and the question’s stated conditions.
Illustration: A fragment’s position reflects separation conditions, not automatic disease status.
Independent check: Analyse a new fictional band diagram against a reference.
Why it matters: Evidence interpretation is context-specific.
11. Protein gel and DNA gel mixed
Typical error: The learner assumes SDS-PAGE and DNA agarose gels measure identical material.
Repair: Identify the molecule and what each separation method is used to analyse.
Illustration: A protein-size comparison cannot be interpreted as a DNA sequence result.
Independent check: Classify a fresh lab-results table by method.
Why it matters: Method selection follows target analyte.
12. Spectrophotometer number taken as purity proof
Typical error: One absorbance result is used to claim a sample is pure.
Repair: Distinguish quantity, quality indicators and method-specific limitations.
Illustration: A concentration measurement alone may not identify contaminants.
Independent check: Explain what a ratio or second test might contribute.
Why it matters: Measurement and inference are distinct.
13. Bacterial growth graph axes ignored
Typical error: A curve’s plateau is described as zero growth in every cell.
Repair: Read axes and describe net population change under given conditions.
Illustration: A stationary phase may reflect opposing processes rather than every cell being inactive.
Independent check: Interpret a changed growth curve with labelled units.
Why it matters: Graph shape is a net observation.
14. Temperature and pH effects generalised
Typical error: The student says one optimum suits all microbes.
Repair: Use the specified organism and environmental conditions rather than a universal claim.
Illustration: Different biological systems can have different tolerances.
Independent check: Explain why a new temperature graph differs.
Why it matters: Biological context matters.
15. Antibiotic results used as personal treatment advice
Typical error: A fictional susceptibility chart is treated as a prescription.
Repair: Discuss the test interpretation within syllabus limits; clinical choices belong to qualified professionals.
Illustration: A classroom chart cannot establish an individual treatment plan.
Independent check: Evaluate only what an anonymised fictional dataset supports.
Why it matters: Medical evidence has professional boundaries.
16. Animal cell culture and bacterial culture merged
Typical error: The learner assumes the same media, apparatus and growth conditions work for all cells.
Repair: Compare cell type, purpose and required features conceptually.
Illustration: Mammalian cell maintenance differs from basic bacterial growth.
Independent check: Create a comparison of equipment roles rather than procedures.
Why it matters: Biological systems require distinct conditions.
17. Concentration unit prefixes missed
Typical error: Microlitres and millilitres or micromolar and millimolar are used interchangeably.
Repair: Convert units before using the supplied relationship.
Illustration: One millilitre equals one thousand microlitres.
Independent check: Solve a new fictional unit-conversion task.
Why it matters: A thousand-fold error changes every answer.
18. C1V1 variables reversed
Typical error: The student uses target concentration as the stock concentration.
Repair: Label C1/V1 and C2/V2 before substitution and check whether result is plausible.
Illustration: Diluting a more concentrated stock should require less stock volume than final volume.
Independent check: Recalculate with different fictional numbers.
Why it matters: Dimensional reasoning checks arithmetic.
19. Cell viability confused with count
Typical error: The student assumes total counted cells are all viable.
Repair: Distinguish total density from the proportion meeting viability criteria.
Illustration: Two samples can share total count but differ in viable fraction.
Independent check: Interpret a hypothetical count table.
Why it matters: Multiple measures describe different properties.
20. Totipotency assumed for all tissues
Typical error: A definition is repeated without considering the plant-cell context.
Repair: Explain relevant plant development and the conditions given by the question.
Illustration: Tissue-culture outcomes vary with cell type and growth context.
Independent check: Compare two conceptual plant growth scenarios.
Why it matters: Capacity and observed outcome differ.
21. Plant growth regulators treated identically
Typical error: Different regulator roles are described as interchangeable.
Repair: Identify the specific developmental response asked about.
Illustration: Changes in relative regulatory signals can be associated with different tissue outcomes.
Independent check: Read a hypothetical growth-pattern chart.
Why it matters: The mechanism should fit the evidence.
22. Genetically modified crops judged with slogans
Typical error: Every modified crop is assumed either perfectly safe or inherently harmful.
Repair: Evaluate the actual trait, evidence, potential benefits and unresolved effects.
Illustration: Enhanced nutrition and environmental impacts require separate evidence.
Independent check: Write a qualified claim for an invented crop project.
Why it matters: Ethical analysis is evidence-led.
23. DNA profiling declared absolute identity
Typical error: One similar marker is treated as conclusive proof about an individual.
Repair: Discuss the evidential limitations and need for appropriate analysis.
Illustration: A limited hypothetical STR match does not establish identity by itself.
Independent check: State which further information a claim requires.
Why it matters: Probabilistic evidence needs care.
24. Bioremediation confused with disappearance
Typical error: A contaminant’s lower measured concentration is assumed to prove a harmless product.
Repair: Distinguish measurement, mechanism, by-products and monitoring.
Illustration: Degradation or extraction can change the location or form of contaminants.
Independent check: Evaluate a hypothetical before/after table.
Why it matters: Environmental outcomes need complete evidence.
25. Control and replicates used as synonyms
Typical error: The plan has repeats but no appropriate comparison, or a comparison without repeat measures.
Repair: Design both a relevant control and repeat observations where meaningful.
Illustration: Repeating the same condition does not substitute for a control condition.
Independent check: Draw a fictional investigation matrix with control and repeats.
Why it matters: Good experiments test alternative explanations.
26. Unexpected data removed
Typical error: A candidate discards anomalous readings to create a smooth graph.
Repair: Record original measurements and justify how anomalies are evaluated.
Illustration: An odd result may reveal equipment or sampling limitations.
Independent check: Interpret a fictional outlier without erasing it.
Why it matters: Research integrity is part of competence.
27. Project report fabricated after the fact
Typical error: A polished timeline is written without actual supervised lab records.
Repair: Maintain authentic dated notes and follow school-controlled project procedures.
Illustration: A report without real authorised observations cannot demonstrate experimental skills.
Independent check: Explain how each claim maps to a genuine measurement.
Why it matters: Coursework must be the candidate’s work.
28. Structured questions answered as definitions
Typical error: A candidate memorises terms but cannot analyse unfamiliar graphs.
Repair: Identify the command and connect specific data to the syllabus principle.
Illustration: ‘Predict’ requires reasoning from context, not a copied definition.
Independent check: Solve a new data inference with altered values.
Why it matters: Transfer is central to Paper 2.
A worked example: interpret a fictional growth curve without culturing anything
Imagine a teaching graph that shows an initially slow increase in bacterial population, then faster net increase, a period of relatively stable total numbers and finally declining measured counts. The learner should identify the axes, state which trend is observed and propose context-appropriate reasons. A flat segment does not establish that every organism has stopped all activity; it is a net observation. To claim a particular nutrient caused the change, the experiment would need evidence relating nutrient conditions to growth rather than simply a graph with no control.
This example is data reasoning only. It is not a procedure or invitation to grow microorganisms. Real microbiology projects require school-authorised organisms, trained staff, approved apparatus, biosafety controls and appropriate waste disposal. Parents can safely help by asking which conclusion the graph supports and which remains a hypothesis. The pupil then interprets a new fictional graph with different units, showing whether the method has transferred.
A twelve-week study route alongside the formal project
Weeks 12–9: identify the first unreliable concept
Confirm the code, approved-school status and current project schedule. Take a small baseline quiz in cell structures, DNA/RNA/protein relations, bacterial growth, dilution mathematics and ethical interpretation. Review one unfamiliar scientific graph. Mark errors by cause: wrong molecule, confused unit, unsupported inference or inability to explain a graph. Use one short correction followed by a new question. Do not try to fix all scientific knowledge by memorising every term on the same night.
Weeks 8–5: integrate theory and evidence
Rotate the six syllabus areas, including gene technology and animal/plant applications, with a data-interpretation session each week. Practise explaining why a technique measures a particular kind of information and what uncertainty remains. For calculations, state units and use dimensional checks. If the school is running the Structured Project, follow only the actual authorised sessions and record genuine decisions. Homework should focus on conceptual understanding or fictional datasets, not unsupervised biological experiments.
Weeks 4–2: complete both theory papers and audit project evidence
Sit a 45-minute thirty-MCQ mock and a 105-minute structured paper with all questions compulsory. Record wrong-answer causes and the marks lost to unanswered sections. Under the teacher’s direction, check that the actual project logbook shows planning, controls, repetitions, observed data, changes and proper evaluation. Do not retrospectively invent laboratory activities to fill a gap. If a submission or lab activity is at risk, seek school guidance promptly.
Final week: concepts, safety and current arrangements
Review the error log, six topic groups, core units, calculation formulas and the official paper times. Confirm the subject code, reporting venue, calculator model and the school’s controlled project and submission rules. Avoid doing biological procedures at home as a last-minute shortcut. Preserve adequate rest for interpreting unfamiliar data. Parents should remember that a high score on a practice paper cannot guarantee access to a later course, which has separate requirements.
Seven-day Biotechnology revision cycle
| Day | Practice task | Evidence of learning |
| Monday | Cells and biomolecules | Accurate structure/function comparisons |
| Tuesday | DNA, gene technology and data | Correct information flow and assay limits |
| Wednesday | Microbial graphs and experimental controls | Supported inferences from fictional data |
| Thursday | Animal/plant biotechnology | Methods correctly matched to biological context |
| Friday | Applications, ethics and environment | Balanced evidence-based evaluation |
| Saturday | Full MCQ/structured mock or supervised school project | All required work completed, evidence authentic |
| Sunday | Retest two errors and rest | Correct new task without the previous model |
Frequently asked questions: G3 Biotechnology K375
What is the 2027 subject code?
K375, formerly Applied Subject NP04.
Can every school offer K375?
No. It is restricted to schools approved to offer the Applied Subject.
Are extra examination fees payable?
SEAB says the examining agencies’ Applied Subject fees are payable, according to the school’s arrangements.
When is the final Applied Subjects exam year?
SEAB currently states 2028 for the listed G3 Applied Subjects K375 and K376.
Does that mean biotechnology courses disappear after 2028?
No. The statement concerns these SEC Applied Subject examinations, not all subsequent courses or careers.
What is Paper 1?
Thirty compulsory four-option MCQs in 45 minutes, 30 marks, 20%.
How long is Paper 2?
One hour 45 minutes, 80 marks and 50%, all structured questions compulsory.
How long is Paper 3?
Fifteen hours of school-supervised Structured Project work.
How is the project marked?
Plan 15, Experimental Skills 45, Report 40, totalling 100 raw marks and 30% of the subject.
Does project planning have a set duration?
Yes. SEAB allocates three hours for the plan and timeline.
How many practical sessions form the experimental-skills component?
Three scheduled laboratory sessions under supervision.
Can parents help perform project experiments at home?
No. Specialist biological work must remain within authorised supervised laboratories and coursework-authenticity rules.
What are the six major content areas?
Cells/Biomolecules, Gene Technology, Microbial Biotechnology, Animal Cell Culture, Plant Biotechnology and Applications.
Is DNA amplification sufficient proof of an individual’s illness?
No. Clinical conclusions require appropriate test validity, controls and professional interpretation.
What is the difference between a control and a replicate?
A control provides comparison; repeats help evaluate reliability and variability.
Are calculators permitted?
SEAB-approved calculators may be used in all three papers.
Can old NP04 exercises help?
Only where content aligns with the 2027 K375 syllabus and actual paper structure.
Is K375 the same as Biology K325?
No. Its applied scope and supervised Structured Project are distinctive.
What should a child revise in the final week?
Subject code, six topic groups, data interpretation, recurrent mistakes and current exam logistics.
Where are the official rules?
The linked SEAB G3 Applied Subject directory and K375 PDF.
Official references and related eduKate reading
As of 14 November 2026, the 2027 SEAB G3 directory and K375 syllabus specify the above format, approved-school restrictions, project and 2028 final Applied Subject examination year. Exact candidate and project instructions must always be confirmed by the approved school.
SEAB: Official 2027 K375 Biotechnology syllabus and 15-hour project rubric
SEAB: G3 Applied Subject eligibility, code and final exam-year notice
eduKate: Biotechnology K375 scientific topics and project requirements
eduKate: Biotechnology versus Design Studies under 2027 SEC
eduKate: Biotechnology first-principles quick notes
eduKate: First-principles, three-student diagnostic tutorial reference