About Course

Mission:
At Sameer’s GAMSAT, we aim to demystify the dreaded Section 3 of the GAMSAT. This course focuses on building problem-solving skills rooted in Bloom’s taxonomy and the scientific method — not rote memorization of background science. Whether you’re from a science background or not, our systematic approach ensures you can think critically, interpret complex data, and ace high-yield GAMSAT S3 problems.

Our Promise:

  • Simplify complex science questions into learnable skill clusters
  • Personal guidance from a 100th percentile tutor (80 overall, 92 S3 score)
  • Results-driven: 69 S3 median, 13 marks average improvement in S3
  • Affordable and flexible plans to suit all learning styles
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Course Content

Bloom’s Section 3 Weekly class
Choose any 1 week from the 10-week curriculum Ideal for revising difficult topics or quick refreshers Includes: Full access to workbook, live class + recording Personalised feedback & live messaging support Deal: If you purchase a weekly class and like what you see, you can still retain the entire course purchase option for $700 or the half course option for $350. Choose from topics like: Organic Chemistry (Week 1) Vectors & Mechanics (Week 2) Data-heavy Acid/Base systems (Week 3) Any one of the later weeks

  • Week 1: Spatial Geometry and Chemical transformations
  • Week 2: Systems Equilibrium: Mechanics, Forces and Energy
  • Week 3: Data interpretation: Chemical kinetics and Acids and bases
  • Week 4: Introduction to Cognitive loading and data interpretation
  • Week 5: Advanced cognitive loading: mixed biology and chemistry stems
  • Week 6: Cognitive loading and Spatial geometry: Electrical and Biological Circuits
  • Week 7: Cognitive loading and systems equilibrium: Waves in biophysical systems
  • Week 8: Cognitive loading and spatial geometry: Biology intersecting Chemistry
  • Week 9: Cognitive loading spatial geometry and systems equilibrium: Stereochemistry, Thermodynamics and Electrochemistry
  • Week 10: ACER S3 GAMSAT Masterclass: Decrypting past exams and predicting likely questions

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