Spring

In the Master of Science in Complex Network Analysis (Economic and Technological Networks) program, students will build a strong foundation in complex network analysis, supplemented by domain-specific coursework in financial and economic networks. This may include topics ranging from econometrics to deep learning. This broad concentration is designed to give students targeted skill sets that will ultimately lead to real insights in business and finance.

In the Master of Science in Complex Network Analysis (Population Health Dynamics) program, students will build a strong foundation in complex network analysis, supplemented by coursework in biostatistics and epidemiology, including network modeling of infectious diseases and population health informatics. These skills are especially valuable for practitioners in public health agencies or for those modeling emerging epidemics in industry (e.g., insurance companies, and NGOs).

This graduate certificate leverages the real-world relevance of Big Data, source data, machine learning, and predictive analytics, which are dominant aspects of the contemporary workplace landscape.

Learn to design, develop, and maintain artificial intelligence (AI) systems that change the world, from reducing cancer deaths and unregulated pharmaceuticals to expanding job access to rural workers and incorporating indigenous languages into automatic speech recognition.

Gain skills to further your business decision-making by earning your Graduate Certificate in Business Administration on our Silicon Valley campus. 

Northeastern University's Master of Science in Statistics is designed for early career and mid-level professionals in the US and internationally who are seeking to elevate their expertise in the dynamic and growing field of statistics. 

The College of Science's Statistical Theory and Modeling concentration offers comprehensive training in the fundamental principles of machine learning, statistical learning theory, and statistical and probabilistic modeling techniques to analyze and interpret complex data across diverse fields.

Northeastern University's Master of Science in Statistics is designed for early career and mid-level professionals in the U.S. and internationally seeking to elevate their expertise in the dynamic and growing field of statistics.

The College of Science's Statistical Theory and Modeling concentration offers comprehensive training in the fundamental principles of machine learning, statistical learning theory, and statistical and probabilistic modeling techniques to analyze and interpret complex data across diverse fields.

Northeastern University's Master of Science in Statistics is designed for early career and mid-level professionals in the U.S. and internationally seeking to elevate their expertise in the dynamic and growing field of statistics. 

The Khoury College of Computer Sciences' Statistical Machine Learning concentration provides students with practical skills in database management and advanced knowledge in artificial intelligence (AI) and machine learning to analyze complex data and develop predictive models for various applications.

Northeastern University's Master of Science in Statistics is designed for early career and mid-level professionals in the U.S. and internationally seeking to elevate their expertise in the dynamic and growing field of statistics.

The Khoury College of Computer Sciences' Statistical Machine Learning concentration provides students with practical skills in database management and advanced knowledge in artificial intelligence (AI) and machine learning to analyze complex data and develop predictive models for various applications.

Northeastern University's Master of Science in Statistics is designed for early career and mid-level professionals in the US and internationally seeking to elevate their expertise in the dynamic and growing field of statistics. 

Bouvé College of Health Science's Biostatistics concentration equips students with the methodological background, practical experience, and advanced analytical techniques necessary to analyze and interpret data related to pharmaceutical studies, clinical trials, and clinical and public health-related fields.