Quantitative Admission Requirement

The UBC Master of Public Health program includes a strong foundation in biostatistics and epidemiology. The quantitative skill requirement for entry to the program ensures that students have a strong foundation to prepare them for the statistics component of the curriculum. For example, the student has to feel confident in their ability to handle the coursework in SPPH 400, as this is a core course. To meet this requirement, applicants must achieve a grade of B+ or higher in an approved statistics or calculus course, or take the GRE (minimum of 153 quantitative and 153 verbal and taken within the last 5 years) or other standardized test.
When determining if a course meets the requirement, key topics to look for in your syllabus include most of the following: descriptive statistics, hypothesis testing and confidence intervals, bivariate analysis, two-sample t-test, analysis of variance, chi-square test, correlation and regression, and parametric and nonparametric statistics. More importantly, the course should cover the application of statistical methodology. If the course involved the use of statistical software, it would generally meet the requirement.
Courses in calculus, linear algebra and undergraduate or graduate courses in statistics (that are 100% statistics) would be approved as meeting the quantitative admission requirement. Any approved math or statistics course must be passed with a minimum B+ (76% at UBC) within 10 years of applying to the MPH. Students with international credentials should refer to the Admissions Information page for information on how they may meet this requirement.
Courses that focus purely on concepts and appraisal of statistical methods in the scientific literature would generally not meet the requirement. It is unusual that “Research Methods” courses provide sufficient background to meet the minimum requirements. However, if a methods course contains the above noted topics, and involved the direct application of statistical methods, it may qualify.
Please note that the courses listed below are just a sampling of courses that would satisfy the UBC MPH program’s quantitative admission requirement. If your course is not listed below, please send a detailed course syllabus/outline to MPH Program Support at mph@spph.ubc.ca for approval.
Students must meet our quantitative admission requirements by our application deadline.

MATH 215 - Introductory Statistics
MATH 315 - Methods in Applied Statistics
SOCI 301 - Social Statistics

MATH 1013 - Introductory Calculus I
MATH 1023 - Introductory Calculus II
MATH 1213 - Elementary Statistics for Business and Behavioural Sciences I

HLSC3P07 - Biostatistics II

COMM 291 - Applications of Statistics in Business
MATH 200 - Linear Algebra
PSYC 213 - Statistical Methods in Psychology

MATH 203 - Differential and Integral Calculus I
MATH 204 - Vectors and Matrices
PSYCH 315 - Statistical Analysis I
PSYCH 316 - Statistical Analysis II

MATH 1000 - Differential and Integral Calculus
STAT 1060 - Introductory Statistics for Science and Health Sciences

MATH 1115 - Statistics I
PSYC 2300 - Applied Statistics

MATH 1153 - Intro to Calculus I (Part I)
STAT 1124 - Statistical Methods I
STAT 1123 - Basic Probability and Statistics for Business

AEMA 310 - Statistical Methods I
BIOL 373 - Biometry
GEOG 202 - Statistics and Spatial Analysis
MATH 139 - Calculus with Pre-Calculus
MATH 140 - Calculus I
MATH 141 - Calculus II
MATH 203 - Principles of Statistics I
MATH 204 - Principles of Statistics II
MATH 314 - Advanced Calculus
MATH 315 - Ordinary Differential Equations
MATH 323 - Probability
MATH 326 - Nonlinear Dynamics and Chaos
PSYC 204 - Introduction to Psychological Statistics
PSYC 305 - Statistics for Experimental Design
SOCI 350 - Statistics in Social Research
SOCI 461 - Quantitative Data Analysis
STAT 404 - Design and Analysis of Experiments

MATH 1A03 - Calculus for Science I
MATH 1AA3 - Calculus for Science II
MATH 1LS3 - Calculus for Life Sciences
MATH 1LT3 - Calculus for Life Sciences II
STAT 2B03 - Statistical Methods for Science
STAT 3A03 - Applied Regression Analysis with SAS
ARTS&SCI 2R03 - Applied Statistical Inference

STAT 2550 - Statistics for Science Students

MATH 1211 - Concepts of Mathematical Statistics

BIOL 243 - Data Management and Statistics for Biologists
EPID 401 - Biostatistical Data Analysis for Life Science Students
MATH 121 - Differential and Integral Calculus
MATH 122B - Calculus
MATH 232 - Differential Equations
NURS 323 - Introduction to Statistics and Data Analysis
SOCI 211 - Social Statistics
STAT 263 - Introduction to Statistics

MAT 3001 - The Practice of Statistics

CMTH 304 - Probability and Statistics I
NURS 80B - Research Design, Measurement, Apps
NURS 800 - Nursing Research and Statistics

MATH 154 - Calculus I for Biological Sciences
MATH 155 - Calculus II for Biological Sciences
STAT 201 - Statistics for Life Sciences
STAT 203 - Statistics for Social Sciences
STAT 302 - Analysis of Experimental and Observational Data
STAT 305 - Introduction to Biostatistics

STAT 231 - Statistics for Students in Sciences

STAT 1200 - Introduction to Statistics
STAT 1201 - Introduction to Probability and Statistics
STAT 2019 - Statistics for Life Sciences
STAT 2039 - Introduction to Statistics to Social Sciences
PSYC 2101 - Statistics in the Social Sciences

MATH 123 - Calculus I
PSYC 207 - Social Statistics
SOCI 207 - Social Statistics

STAT 141 - Introduction to Statistics
STAT 151 - Introduction to Applied Statistics I
STAT 252 - Introduction to Applied Statistics II
AUSTA 215 - Statistical Methods for the Natural Sciences

ANTH 418 - Anthropological Statistics
BIOL 300 - Fundamentals of Biostatistics
BIOL 301 - Biomathematics
EPSE 482 -Introduction to Statistics for Research in Education
FRST 231 - Introduction to Biometrics
KIN 371 - Introduction to Statistics in Kinesiology
LFS 252 - Land, Food, and Community: Quantitative Data Analysis
MATH 100 - Differential Calculus with Applications to Physical Sciences
MATH 101 - Integral Calculus with Applications to Physical Sciences and Engineering
MATH 102 - Differential Calculus with Applications to Life Sciences
MATH 103 - Integral Calculus with Applications to Life Sciences
MATH 104 - Differential Calculus with Applications to Commerce & Social Studies
MATH 105 - Integral Calculus with Applications to Commerce and Social Sciences
MATH 110 - Differential Calculus
MATH 121 - Integral Calculus
MATH 180 - Differential Calculus with Physical Applications
MATH 184 - Differential Calculus for Social Science and Commerce
MATH 200 - Calculus III
MATH 302 - Introduction to Probability
NURS 325 - Introduction to Statistics for Nursing
PSYC 218 - Analysis of Behavioural Data
PSYC 359 - Advanced Research Methods in Epidemiological Research
PSYC 366 - Methods in Research
SPPH 400 - Statistics for Health Research
SPPH 500 - Analytic Methods in Epidemiological Research
SOCI 328 - Social Statistics I
SOCI 514 - Analyzing Quantitative Data in Sociology
STAT 200 - Elementary Statistics for Applications
STAT 203 - Statistical Methods
STAT 255 - Statistics for Life Sciences I

BIOL 202 - Intoduction to Biostatistics
HEAL 300 - Methods of Data Analysis
STAT 101 - Elementary Statistics

BIOL 315 - Quantitative Biology
MATH 249 - Introductory Calculus
MATH 253 - Calculus II
MDSC 407 - Statistics and Research Design in Health Sciences
STAT 213 - Introduction to Statistics

MATH 1080 - Elements of Calculus I
PSYC 2010 - Quantification in Psychology
PSYC 2040 - Research Statistics
STAT 2040 - Statistics I
STAT 2050 - Statistics II
STAT 2120 - Probability and Statistics for Engineers
STAT 3110 - Intro to Mathematical Statistics II

STAT 1000 - Basic Statistical Analysis

STAT 2263 - Statistics for Non-Science Majors

ECON 205 - Statistics for Social and Management Sciences

APA 3381 - Measurement and Data Analysis in Human Kinetics
MAT 1320 - Calculus I
MAT 1330 - Calculus for Life Sciences I
MAT 1332 - Calculus for Life Sciences II
MAT 1720 - Differential Calculus I
MAT 1782 - Differential Calculus & Integrals II
MAT 2379 - Introduction to Biostatistics

PLSC 314 - Statistical Methods
PSY 233 - Statistical Methods for Behavioral Sciences I
PSY 234 - Statistical Methods for Behavioral Sciences II

BIO360H5 - Biometrics I
EEB 225H1 - Biostatistics for Biological Sciences
HMB325H1 - Statistics Applied to Human Biology
MAT 135 - Calculus
MAT135H1 - Calculus Sci I
MAT137Y1 - Calculus
PSY201H1 - Statistics I
STA220H1 - Practice of Statistics
STAB22H3 - Statistics I

GEOG 226 - Introduction to Quantitative Methods
PSYC 300A - Statistical Methods in Psychology I
STAT 252 - Statistics for Business
STAT 255 - Statistics for Life Sciences I
STAT 256 - Statistics for Life Sciences II

BIOL 361 - Biostatistics & Experimental Design
KIN 222 - Statistical Techniques applied to Kinesiology
PHS 605 - Biostatistics in Public Health
PSYC 632 - Multiple Regression
STAT 202 - Introductory Statistics for Scientists
STAT 316 - Introduction to Statistical Problem Solving by Computer

CALC 1000A - Calculus I
MATH 1225B - Methods of Calculus
STATS 1024 - Introduction to Statistics

PSYC 2020 - Statistical Methods I and II
PSYC 2021 - Statistical Methods I
SC KINE 2050 - Analysis of Data in Kinesiology I

The following courses do not meet quantitative requirements for entry to the UBC Master of Public Health program.

GEOG 512- Advanced Quantitative Methods in Social Field Research
MATH 338 - History and Philosophy of Math

NURS360 - Professional Practice: Nursing Research
RSMT 3501 - Introduction to Research Methods

NURS 505 - Statistical Literacy in Nursing

POPM*3240 - Epidemiology

PSYC300B - Statistical Methods in Psychology II
CYC 424 - Qualitative and Quantitative Analysis in Child and Youth Care

HS 3801B - Measurement & Analysis in Health Sciences
MATH 1229A - Methods of Matrix Algebra

If you have not taken an approved quantitative course (or have not achieved a B+ grade in an approved course), then you will need to take the GRE or another standardized test, which must be taken within five years of applying to the program. We strongly recommend that applicants take the GRE if they do not have an approved quantitative course. All GRE scores must be sent to us electronically by the testing agency by our deadline. The institutional code for UBC is 0965 and the department code is 0616. Please view the table below regarding the minimum scores required:

Test Minimum scores required
GRE 153 on the quantitative component and 153 on the verbal component
MCAT 508 on the new format and 30 on the old format