Master of Science in Data Science - Health Analytics

The Health Analytics specialization is designed to provide data professionals with practical learning experience through application of statistical methods to help solve real-world health and life science analytics problems. Instruction and coursework will explore healthcare information management systems, epidemiology, health management, clinical research, clinical trials, and health-outcomes research.

To address the spectrum of issues in data science and analytics, National University designed an industry-current curriculum that includes core courses in statistical topics as well as four specializations for advanced applications of data science and analytics in unique fields: Artificial Intelligence and Optimization, Business Science and Analytics, Database Science and Analytics, and Health Science and Analytics.

NU's Master of Science in Data Science focuses on how to develop, implement, and maintain the hardware and software tools needed to make efficient and effective use of big data, including databases, data marts, data warehouses, machine learning, analytic programming, and artificial intelligence.

The National Science Foundation (NSF) has awarded a 20 million grant to a partnership of prestigious universities led by University of California, San Diego, and including National University, Yale University, the Massachusetts Institute of Technology, the University of Pennsylvania, and the University of Texas at Austin. Working together, the universities will form The Institute for Learning-enabled Optimization at Scale (TILOS).

Official college/university diploma(s)/proof of graduation (and certified English translations, if applicable)
For graduate students a four-year bachelor's degree or equivalent with a minimum GPA of 2.5, or completion of National University's Foreign Credential Bridge program, plus proof of English proficiency. TOEFL 79 iBT, IELTS 6.0 (no band lower than 5) TOEFL Paper-based Test 550