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, taken within the last 10 years; 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.

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

**PSY 711** - Advanced Research Methods 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

**POLI 380 **- Quantitative Methods in Political Methods in Political Science

**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

**PSYO 271** - Introduction to Data Analysis

**PSYO 507** - Advanced Statistics and Research Methods

**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

**HLTH 204** - Quantitative Approaches to Health

**BIOL 361** - Biostatistics & Experimental Design

**KIN 222** - Statistical Techniques applied to Kinesiology

**PHS 605** - Biostatistics in Public Health

**PSYC 391** - Advanced Data Analysis

**PSYC 492** - Psychological Measurement

**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 |