Credit points: 15

Subject outline

In Pharmacy Mathematics you are introduced to fundamental mathematical and statistical techniques that are required for pharmacy studies and research. In the first component, you will apply methods of differential and integral calculus to model phenomena in pharmacokinetics, chemical kinetics, epidemiology and demography. The second (larger) component you will study statistical methods and their applications in health, pharmaceutical and biological contexts. The topics include random variables, distributions and probability, confidence intervals and significance tests for means and proportions, and chi-square tests for categorical variables. Use is made of Microsoft Excel for data analysis.

FacultyFaculty of Science, Tech & Engineering

Credit points15

Subject Co-ordinatorRobert Champion

Available to Study Abroad StudentsYes

Subject year levelYear Level 1 - UG

Exchange StudentsYes

Subject particulars

Subject rules

Prerequisites Available for students enrolled in the Bachelor of Pharmacy course (SVPB or SBPM or SHPM or SBPB or SHPB).


Incompatible subjectsN/A

Equivalent subjectsN/A

Special conditionsN/A

Learning resources


Resource TypeTitleResource RequirementAuthor and YearPublisher
ReadingsThe practice of statistics in the life sciencesPrescribedBaldi, B and Moore, D.S. 20122ND ED., NEW YORK: W.H. FREEMAN AND CO.
ReadingsApplied biopharmacuetics & PharmacokineticsRecommendedShaegel, L, Wu-Pong, S, and Yu, ABC 2005MCGRAW-HILL, NEW YORK.
ReadingsBasic statistics and pharmaceutical statistical applicationsRecommendedDe Muth, JE 20062ND EDN, CHAPMAN & HALL/CRC, BOCA RATON.
ReadingsPharmaceutical statisticsRecommendedJones, D 2002PHARMACEUTICAL PRESS, PADSTOW.
ReadingsPharmaceutical statistics : practical and clinical applicationsRecommendedBolton, S and Bon, C 20044TH EDN, DEKKER, NEW YORK

Subject options

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Start date between: and    Key dates

Bendigo, 2014, Semester 2, Day


Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorRobert Champion

Class requirements

Lecture Week: 31 - 43
Three 1.0 hours lecture per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.

Tutorial Week: 31 - 43
One 1.0 hours tutorial per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
"On specific dates during the semester some tutorials will be run in a computer lab."


Assessment elementComments%
Three short tests during the semester30
one 3-hour examination70