MSc Timeline

The MSc program generally requires a minimum of two years of full-time study with the first eight months devoted primarily to coursework. Masters students may choose to complete their degree requirements through part-time study. You will need to declare whether you have chosen part-time or full-time studies. Part-time students should be aware that they are not eligible for UBC scholarships or awards.

UBC policy establishes a five year time limit for the completion of a Masters program, for both full-time and part-time students. If you have questions about extensions or leaves, please click here (Extensions) or here (Leaves of Absence).

The following is a sample two-year timeline for a full-time student. Please note it is not necessary to complete your program in two years – you have up to five years in which to complete your degree. The time points for applying for funding will vary depending on the nature of funding needed (operating funds vs. fellowship assistance) and funding agency deadlines. The important message is that funding should be sought as early as possible.

Sample Msc Timeline:

Prior to Admission
Year 1 Term 1
(Sept to Dec)
  • Complete Coursework:
    • Electives
  • Meet with Supervisor
  • Apply for Awards
Year 1 Term 2
(Jan to Apr)
  • Complete Coursework:
    • One of the following:
    • Electives
  • Define Thesis Topic
  • Prepare Thesis Proposal
  • Begin to seek additional committee members
Year 1, Summer Term
(Sept to Apr)
  • Complete Coursework
    • Electives (if needed)
  • Finalize Thesis Proposal
  • Present to Thesis Screening Panel (if space is available)
  • Begin work for thesis (ethics applications, data gatherings)
Year 2, Term 1
(Sept to Apr)
  • Complete Coursework (if needed)
  • Continue Thesis Research
Year 2, Term 1
(Jan to Apr)
  • Complete Coursework (if needed)
  • Complete Thesis Research
  • Begin Writing Thesis
Year 2, Summer Term
(Jan to Apr)


SPPH 400 – Statistics for Health Research

Planned collection, numeric and graphic summarization, and elementary statistical analysis of data. Examples primarily from health sciences illustrate standard techniques for parametric and non-parametric hypothesis testing; regression and correlation; contingency tables. Also randomization, “blindfolding” and other specifically biomedical topics in statistics. Class size may be limited.

Please note this is a Graduate level course.

Prerequisite
Ability to use high school Algebra and simple graphs.

Term Offered and Syllabus
Term 1: Traditional
Syllabus

Term 1: Distributed Learning
Syllabus

SPPH 502 – Epidemiological Methods I

Sources and uses of epidemiologic data for health services planning and administration including methods of data collection and study design.

Prerequisite:
Enrolment in a Health Care and Epidemiology graduate program, or permission of instructor.

Term Offered and Syllabus
Term 1: Traditional
Syllabus

Term 1: Distributed Learning
Syllabus

SPPH 507 – MSc Research Seminar

SPPH 507 in conjunction with SPPH 607 is a required course for students in the MSc program. Students present and discuss their research and other topics of interest.

Term Offered and Syllabus
Term 1
Syllabus

SPPH 500 – Analytic Methods in Epidemiological Research

Basic epidemiological designs as a framework for commonly used biostatistical techniques such as the Mantel-Haenszel, chi-squared, linear and logistic regression, and survival analysis. Computer packages will be available for computation of assignments.

Prerequisite
Either (a) all of HCEP 400, HCEP 502 or (b) all of SPPH 400, SPPH 502 or (c) all of SPPH 567, SPPH 502.

Term Offered and Syllabus
Term 2: Traditional (Section 002 – Master’s students)
Syllabus

Term 2: Traditional (Section 007 – PhD students)
Syllabus to be supplied

Term 2: Distributed Learning (Section DL2)
Syllabus

SPPH 503 – Epidemiological Methods II

Critical thinking in epidemiology; principles and methods of study design; context for epidemiological investigations of human health.

Prerequisite
Either (a) all of HCEP 400, HCEP 502 or (b) all of SPPH 400, SPPH 502 or (c) all of SPPH 567, SPPH 502.

Term Offered and Syllabus
Term 2: Traditional
Syllabus

Term 1: Distributed Learning
Syllabus

SPPH 506 – Quantitative Methods

Major quantitative research designs, measurement reliability and validity, common data sources used, internal and external validity, research proposals, and peer review.
Credit will be granted for only one of SPPH 506 or SPPH 548.

Term Offered and Syllabus
Term 2: Traditional
Syllabus

SPPH 519 – Qualitative Methods in Health Research Design

Purposes, context, procedures, and relationships within qualitative health research and methodologies.

Term Offered and Syllabus
Term 2: Traditional
Syllabus

Term 2: Distributed Learning
No syllabus available