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MS in Epidemiology and Biostatistics

Degree Requirements

Investigator TrackStatistical Analyst Track

 

MS in Epidemiology and Biostatistics Curriculum

Students must complete all core courses plus 7 other courses, for a minimum of 14 approved Graduate School courses, plus the Field and Culminating Experiences.

Core courses (and credits) are

  • Introduction to Biostatistics (1)
  • Introduction to Epidemiology (1)

Investigator Track

Schedule with a summer (July 1) start:

Quarter 1 (July)

Classes

Lab (hrs/week)

Epidemiology 1

Yes (1.5 hr)

Biostatistics 1

Yes (1.5 hr)

Statistical programming

Public health ethics

Quarter 2 (Sep)

Epidemiology 2

Yes (1.5 hr)

Biostatistics 2

Yes (1.5 hr)

Statistical inference*/Elective

Elective

Quarter 3 (Jan)

Epidemiology 3

Yes (1.5 hr)

Biostatistics 3

Yes (1.5 hr)

Statistical Writing*/ Grant Writing or Scientific Writing

Elective

Quarter 4 (Mar)

Statistical consulting*/ Thesis project

Clinical Trials

Practical issues in population studies

Elective

*Required for investigator track students

Electives:  Survey Development, Cardiovascular Disease Epidemiology, Cancer epidemiology, Molecular Epidemiology, Behavioral Medicine, Health Policy and Management, Decision Analysis

MS in Epidemiology and Biostatistics Curriculum

Statistical Analyst Track

Proposed 1-Year Curriculum for MSEB, Statistical Analyst Track


Quarter 1 (July)

Classes

Lab (hrs/week)

Epidemiology 1

Yes (1.5 hr)

Biostatistics 1

Yes (1.5 hr)

Statistical programming

Public health ethics

Quarter 2 (Sept)

Epidemiology 2

Yes (1.5 hr)

Biostatistics 2

Yes (1.5 hr)

Statistical inference

Elective

Quarter 3 (Jan)

Epidemiology 3

Yes (1.5 hr)

Biostatistics 3

Yes (1.5 hr)

Elective

Elective

Quarter 4 (Mar)

Statistical consulting

Practical issues in population studies

Elective

Elective

Notes on Course Content

Quarter 1:

                Biostatistics 1 – probability / basic statistical methods

                Statistical Programming – SAS / R

Quarter 2:

                Biostatistics 2 – linear regression / categorical data analysis

Quarter 3:

                Biostatistics 3 – survival analysis / generalized linear models (?)

Quarter 4:

                Statistical consulting – in addition to the consulting experience, will require students to write a statistical methods section and prepare tables for publication in a medical journal; ideally, these would be ongoing projects with faculty either in the BCC or in the RHLCCC Biostatistics Core Practical issues in population studies – among other topics, will address issues pertaining to database design and management

Electives:  Survey Development, Cardiovascular Disease Epidemiology, Cancer epidemiology, Molecular Epidemiology, Behavioral Medicine, Health Policy and Management, Decision Analysis