University of Southern California

Overview

The MSc in Biomedical Data Analytics at the University of Southern California equips students with the necessary skills to harness data science methodologies in addressing challenges within the biomedical and healthcare sectors. This program emphasizes the integration of analytics, statistics, and biomedical systems through a comprehensive and research-informed curriculum.

What you'll study

Programme Structure: The course typically spans 12 months, combining core and elective modules to provide a robust educational experience.

Core Curriculum (20 units): You will engage in essential courses designed to establish a solid grounding in biomedical signals, analytics, and statistical techniques. The core courses include:

• Physiological Control Systems
• Signal and Systems Analysis
• Physiological Signals and Data Analytics
• Data Analytics in Biomedical Engineering
• Medical Diagnostics, Therapeutics and Informatics Applications
• Statistical Methods in Biomedical Engineering
• Advanced Topics in Biomedical Systems
• Advanced Studies of the Nervous System

Electives/Approved Coursework (8 units): Students can select from a list of approved electives or discuss options with academic advisors to tailor their studies to specific interests, such as biomedical engineering analytics or health informatics.

Capstone/Thesis: Students may be required to complete a capstone project or thesis, subject to confirmation with the program office, as requirements can vary based on cohort and academic policy.

Entry requirements

Applicants should possess an academic degree equivalent to a U.S. bachelor's degree, as determined by the USC Office of Graduate & International Admission. It is advisable to check the current admissions policy for specific requirements, including any potential GRE/GMAT prerequisites.

Career prospects

Graduates of the MSc in Biomedical Data Analytics are well-prepared to enter a rapidly evolving field with numerous career opportunities. They can pursue roles in healthcare organizations, research institutions, and technology companies, focusing on data analysis, health informatics, and related areas. The program's emphasis on practical skills and real-world applications positions graduates for success in various sectors within the biomedical field.