Explore Dual Degrees

Submitted by neuglobal on

It is critical to illuminate the pathways from graduate school into careers given the U.S. economy’s growing need for workers with advanced skills and knowledge. Between now and 2020, an estimated 2.6 million new and replacement jobs will require an advanced degree (Commission on Pathways Through Graduate School and Into Careers, Council of Graduate Schools and Educational Testing Service, 2012).

Explore Master's Degrees

Submitted by neuglobal on

By 2022, 18 percent of jobs will require a master’s degree (U.S. Bureau of Labor Statistics). By that year, the master’s will account for nearly a third of all degrees awarded. This growth will come primarily from professional master's programs focused on helping students gain a new job or advance in their position (Georgetown University Center on Education and the Workforce, 2017).

Explore PhDs

Submitted by neuglobal on

Careers for PhD graduates are more abundant than many students and faculty have traditionally imagined. According to survey data from multiple sources, roughly 42 percent of U.S. PhD graduates are employed outside of academic positions (University Research Forum, 2017).

Master of Science in Information Systems — Silicon Valley

Submitted by neuglobal on

Northeastern University's Master of Science in Information Systems closes the gap between business management, software engineering, and information technology. The program is designed to help you improve processes and solve complex challenges related to business and society. You'll graduate ready to go beyond programming as an information technology leader, delivering safe, secure systems that help solve some of society's biggest challenges.

Master of Professional Studies in Analytics — Silicon Valley

Submitted by neuglobal on

Analytics is the integration of the major theories, tools, and approaches to identify and successfully communicate data-driven insights for informed decision making in the digital age. Analysts articulate and effectively defend the significance and implications of the work in data analytics in terms of challenges and trends in a local, national, or global context. They propose an effective path to resolution of an analytical problem that may be complicated by the competitive environment, opposing interests, and divergent or uncertain data and information.