Spring

The MS in Quantitative Finance/MBA dual degree program will blend financial theory and quantitative analytical skills with business savvy to create a well-rounded professional ready to lead with impact.

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.

The Master of Science in Semiconductor Engineering is an interdisciplinary, cutting-edge program offered by Northeastern University’s College of Engineering, D’Amore-McKim School of Business, and the Institute for NanoSystems Innovation. The program prepares students with the interdisciplinary knowledge and experimental tools to meet the rapidly evolving needs of semiconductor companies and an in-demand industry seeking to fill their talent gap.

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).

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.