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Master of Science in Biostatistics | Data Science in Public Health

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Master of Science in Biostatistics | Data Science in Public Health

The MS Biostatistics program with concentration in Data Science in Public Health prepares students to harness data management, mining and analytics, machine learning, and computational tools to analyze large-scale clinical and health data, identify trends, and create evidence-based solutions for improving population health. The program may be completed full-time (in four semesters) or part-time (completion varies) on-campus.

Program Flyer SOPHAS Express

Taking LOCAL Impact to GLOBAL Change

Those with a strong interest in contributing to public and population health at the level of the community, region, nation or globe as a data science expert Students with a desire for a deep understanding of underlying health issues and the ability to identify the most efficient computing algorithms and best analytical approaches If you have interest in continuing as a doctoral student in Data Science or related fields, this degree is for you.

Students can enhance their skills through graduate certificates in one of the following areas, or create their own plan in consultation with an academic advisor: Health Analytics Population Health Informatics Health Systems Leadership Population Health Applied AI in Population Health Outcomes Implementation Science.

Students learn to apply computational, machine learning and data mining techniques to manage and analyze large, complex and multisectoral health datasets. 
Graduates of the program are employed as health data analysts in federal, state and local health departments, pharmaceutical companies, and nonprofit organizations and hospitals. 

Credit Hours: 36

Core courses - 6 Credit Hours 

  • PUBH 7180 | Foundations of Public Health (0 credit hours) 
  • PUBH 7150 | Introduction to Biostatistics 
  • PUBH 7170 | Principles of Epidemiology 

Concentration courses - 18 Credit Hours 

  • PUBH 7152 | Biostatistical Modelling and Applications 
  • PUBH 7310 | Mixed Model Regression Analysis 
  • PUBH 7311 | Applied Categorical Analysis 
  • PUBH 7410 | Biostatistical Machine Learning in Public Health 
  • COMP 7115 | Database Systems 
  • PUBH 7302 | SAS in Public Health 

Elective courses - 9 Credit Hours 

  • In consultation with faculty and/or academic advisors 

Culminating experience - 3 Credit Hours 

  • PUBH 7996 | Master’s Thesis 

In Numbers

8:1 Student to Advisor
17:1 Student to Instructor
90% Courses taught by faculty
100% Flexible Delivery
8 Centers and labs
36 Credit hours
Word Cloud MS

How to apply

Requirements:

  • Completed SOPHAS application  
  • Undergraduate degree with minimum GPA of 3.0 and have completed Calculus I and Calculus II with a grade of B or higher 
  • Curriculum Vitae/Resume 
  • Statement of Purpose (400-500 words) 
  • Two (2) letters of recommendation 
  • Credentials evaluation for foreign transcripts 
  • Language proficiency test if language of instruction was not English

 

SOPHAS Application

SOPHAS Application Guide

SOPHAS Fees and Fee Waivers

 

Connect with us

 

Meredith Ray, PhD
Associate Professor and Program Coordinator, Biostatistics

 

Briana McNeil, MBA, MEd
Recruitment and Admissions Coordinator

 

Shirl Sharpe, MS
Manager, Academic Services