Pharmacy notes. Python & AI. A clearer place to learn.

B.Pharm notes by semester

Check the syllabus shown on each course.

• All B.Pharm subjects
• Semester 1
• Semester 2
• Semester 3
• Semester 4
• Semester 5
• Semester 6
• Semester 7
• Semester 8

Build skills beyond your notes

New to coding or AI? Pick a beginner guide.

• Python for Pharmacy

  Start with the basics. Learn coding through pharmacy examples.

• AI in Pharma

  Understand how AI is used in pharmaceutical science.

• Data Science in Pharma

  Explore data, statistics and visualisation step by step.

Learn Python, data science and AI

7 structured courses connect computing to pharmacy, each with five units, worked code and practice labs.

• BP101T · Semester 1

  Basics of Python Programming for Pharmaceutical Sciences

  Learn Python foundations, control structures, data and file handling, Pandas, and Matplotlib through carefully labelled pharmaceutical teaching datasets and browser practice.

• BP201T · Semester 2

  Applied Biostatistics & Data Analytics for Pharmaceutical Sciences

  Apply foundational biostatistics and Python-based analysis to clearly fictional clinical, pharmaceutical, QC, PK, and pharmacovigilance teaching datasets—always with transparent assumptions and careful interpretation.

• BP301T · Semester 3

  Introduction to Machine Learning in Pharmaceutical Sciences

  Explore AI, machine-learning, and data-science concepts through transparent fictional pharmaceutical teaching cases, from data framing and evaluation to regression, classification, trees, ensembles, and clustering.

• BP604T · Semester 6

  AI Applications in Pharmaceutical Sciences

  Explore how pharmaceutical data can be structured and discussed across natural products, medicinal chemistry, formulation, manufacturing, and analytical science through transparent fictional educational simulations.

• BP703T · Semester 7

  AI in Clinical Applications

  Learn to frame pharmacokinetics, drug-safety, personalised-medicine, healthcare-data, and supervised-learning concepts through transparent fictional clinical-AI teaching simulations—not decision support.

• BP801T · Semester 8

  Ethical Considerations & Translational Applications of AI in Pharmacy

  Study AI lifecycle, validation, auditing, regulatory and governance concepts, pharmacy automation, public-health data concepts, and responsible translation through non-operational educational scenarios.

• BP806T · Semester 8

  Futuristic Pharma Through Augmented Reality and Virtual Reality (AR/VR): Pharma 4.0

  Explore AR/VR and Pharma 4.0 concepts, immersive learning and training, virtual manufacturing environments, patient-education design concepts, and project planning through browser-based educational simulations.

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