Science and Mathematics

The Master of Science in Information Systems–Bridge program is designed to prepare those with non-STEM or nontechnical bachelor’s degrees, or those who want to strengthen their technical backgrounds, to enter the information systems field. Integrating business management, software engineering, and information technology, the program prepares you to design innovative software solutions that fit the complexities of the business world while solving the humanistic needs of the people who use them.

The Master of Science in Information Systems–Bridge program is designed to prepare those with non-STEM or nontechnical bachelor’s degrees or those who want to strengthen their technical backgrounds, to enter the information systems field. Integrating business management, software engineering, and information technology, the program prepares students to design innovative software solutions that fit the complexities of the business world while solving the humanistic needs of the people who use them.

The MS in Biotechnology program was created to respond to regional and national needs for a stronger scientific workforce by preparing our students with the biotechnology expertise and professional skills they need to be immediately productive in industrial, governmental, and clinical settings.

In the Master of Science in Complex Network Analysis (Complex Social Systems) program, students will build a strong foundation in complex network analysis, supplemented by coursework in urban data analytics, digital trace data analysis, collective and cooperative behavior, or computational statistics. These skills offer students a competitive advantage in the ever-evolving landscape of social data in today's tech and scientific industries.

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).

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.