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URMC / Biomedical Data Science / Curriculum

Curriculum

The required courses cover the core aspects of biomedical data science. These courses are problem set and project-based, providing the guided hands-on learning experiences necessary to prepare students for real-world analysis of health-oriented data sets.

Required courses (10 credits)

Required Courses

Course Name

When Offered

Credits

PM401

Quantitative Methods in Public Health Research

Summer, Fall

3

PM403

Research Team Science Seminar

Fall, Spring

1

PM410

Introduction to Data Management and Analysis

Summer, Fall

3

PM485

Introduction to Biomedical Informatics

Fall

3

Electives (select 2 courses; 6-7 credits)

Students are permitted to select any combination of two elective courses from those listed below, but are encouraged to focus on a specific track. Each elective track is designed to add depth in one area of concentration beyond the core coursework. These tracks relate to key elements of the required course sequence.

Computational Track

Elective Courses

Course Name

When Offered

Credits

BST411

Statistical Inference

Fall

4

BST430

Introduction to Statistical Computing

Fall

3

Clinical Research Informatics Track

Elective Courses

Course Name

When Offered

Credits

BST465

Design of Clinical Trials

Spring

4

PM431

Advanced Methods in Health Services Research

Fall

3

Genomics and Bioinformatics Track

Elective Courses

Course Name

When Offered

Credits

IND419

Introduction to Quantitative Biology

Spring

4

GEN508

Genomics and Systems Biology

Fall

3

Public Health Informatics Track (choose two courses)

Required Courses

Course Name

When Offered

Credits

PM421

US Health Care System

Fall

3

PM422

Quality of Care and Risk Adjustment

Spring

3

PM426

Social and Behavioral Medicine

Spring

3

PM484

Medical Decisions and Cost Effectiveness Research

Spring

3

PM486

Medical Ecology

Spring

3