The University of Southern California is the oldest top private research university on the west coast of the United States and a world-renowned institution of higher learning. So what about its data science program? Next follow me to learn more about the USC public **** health data science.
Program Description
Master of Science in Public Health Data Science is a STEM program that combines biostatistics, epidemiology, and computer science. epidemiology and computer science. The Master of Science in Public Health Data Science is a STEM program that combines knowledge from three disciplines, including biostatistics, epidemiology, and computer science. The program prepares students for careers in today's workplace, where there is an urgent need for professionals who can apply data analytics to solve problems in public health and biomedical fields.
Program Objectives
The Master of Science in Public **** Health Data Science is designed to provide students with rigorous training in quantitative methods, including the statistical and computational skills needed to manage, analyze, and learn from health data. Students will learn:
? How to reorganize, crawl, create and manage health-related big data sets
? Aggregate, visualize, and parse data
? Apply statistical methods to draw conclusions from data
? Apply machine learning to reveal features of large, complex health datasets
? The statistical theory behind common data science methods
? Effectively communicating results and findings to a wide audience
? The program is a terminal degree, but can also provide a foundation for students who are interested in pursuing advanced studies in biostatistics, statistics, data science, or computer science for a PhD.
Application Requirements
? Applicants are encouraged to have an undergraduate degree in statistics, mathematics, computers, or another related discipline in a quantitative field. Recommended undergraduate courses include calculus, statistics, and basic computer programming.
Curriculum
Core Subjects (22 credits)
PM512 Principles of Epidemiology 4 credits
PM520L Advanced Statistical Computing 3 credits
PM522b Introduction to Statistics 3 credits
PM566 Introduction to Health Data Science 4 credits
PM591 Oriented. Machine Learning for the Health Sciences 4 credits
PM592 Regression Analysis for Health Data Science 4 credits
Note: PM522a is exempt in this program. However, students who are exempt must have taken the equivalent course during their undergraduate studies.
Computer Science Core Curriculum (4 credits)
CSCI544 Applied Natural Language Processing 4 credits
CSCI561 Foundations of Artificial Intelligence 4 credits
CSCI570 Algorithmic Analysis 4 credits
CSCI585 Database Systems 4 credits
CSCI587 Geospatial Information Management 4 credits
DSCI510 Principles of Data Science Programming 4 credits
DSCI550 Data Science at Scale 4 credits
DSCI551 Fundamentals of Data Management 4 credits
DSCI553 Fundamentals and Applications of Data Mining 4 credits
DSCI554 Information Visualization 4 credits
Electives (at least 3 credits)
May not be selected in duplicate with a computer science course
CSCI544 Applied Natural Language Processing 4 credits
CSCI561 Foundations of Artificial Intelligence 4 credits
CSCI570 Algorithmic Analysis 4 credits
CSCI573 Probabilistic Reasoning 3 credits
CSCI585 Database Systems 4 credits
CSCI587 Geospatial Information Management 4 credits
DSCI510 Principles of Data Science Programming 4 credits
DSCI550 Data Science at Scale 4 credits
DSCI551 Foundations of Data Management 4 credits
DSCI553 Data Mining. Fundamentals and Applications 4 credits
DSCI554 Data Visualization 4 credits
MATH501 Numerical Analysis and Computation 3 credits
PM513 Experimental Design 3 credits
PM534 Statistical Genetics 3 credits
PM538 Introduction to Biomedical Informatics 3 credits
PM542 Social Network Analysis 4 credits
PM552 Statistical Methods in Clinical Trials 3 credits
PM569 Spatial Statistics 3 credits
PM570 Statistical Methods in Human Genetics 4 credits
PM579 Statistical Analysis of High-Dimensional Data 4 credits
PMEP547 Programming Methods for the Empirical Analysis of Health Data 4 credits
Practicum (3 credits)
PM606 Practicum in Health Data Science 3 credits
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Scholarships and Career Services
★ Fellowships for Research in Global Health
The USC Institute on Inequalities in Global Health offers several summer research fellowships for students pursuing global health research locally and abroad.
★ Academic Honors and Research Scholarships
Academic Honors and Research Scholarships support incoming freshmen and continuing students as they compete for awards, research fellowships, and commencement honors.
★ SDSU Public **** Health Career Services
The Office of Public **** Health Career Services supports students and alumni in exploring, discovering, and defining their individual career paths. Our services are structured around a career development framework that guides students in making informed career decisions and optimizing their career opportunities.