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Top Part time Master's Degrees in the Hoboken - USA 2019/2020

A Masters degree gives you the opportunity to either further your understanding of a particular question or take off in a completely different way using skills you have gained from your previous undergraduate degree.

A Master is a graduate-level academic program that takes about two years beyond a bachelor’s degree to receive. Master’s are offered in many different specialties, and depending on the school, they may also be offered online or in person. Earning a Master may lead to increased job opportunities for graduates.

 

 

Education in the United States is mainly provided by the public sector, with control and funding coming from three levels: state, local, and federal, in that order. The common requirements to study at a higher education level in United States will include your admissions essay (also known as the statement of purpose or personal statement), transcript of records, recommendation/reference letters, language tests

Part time Master in the Hoboken in the USA

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Master in Mechanical Engineering

Stevens Institute of Technology - Graduate Studies
Campus Full time Part time 2 years Request Info USA Hoboken + 1 more

The mechanical engineering master’s program at Stevens gives you an edge in an increasingly competitive profession where mastery of research, design, production and testing skills is just as important as the next big idea.

Master in Machine Learning

Stevens Institute of Technology - Graduate Studies
Campus Online Full time Part time 2 years Request Info USA Hoboken + 2 more

Get on the fast track to making an impact in one of today’s fastest-growing fields with a master’s degree in machine learning.

Master in Electrical & Computer Engineering

Stevens Institute of Technology - Graduate Studies
Campus Online Full time Part time 2 years Request Info USA Hoboken + 2 more

Become a sought-after expert with cutting-edge knowledge and strong professional connections.

Master in Data Science

Stevens Institute of Technology - Graduate Studies
Campus Full time Part time 2 years Request Info USA Hoboken + 1 more

Learn the theoretical knowledge and practical skills necessary to analyze big data for functional application in business and technology.

Master in Cybersecurity

Stevens Institute of Technology - Graduate Studies
Campus Full time Part time 2 years Request Info USA Hoboken + 1 more

Gain an in-demand degree in a rapidly growing field. The cybersecurity master’s program at Stevens is designed specifically to train students for careers protecting our complex information infrastructures in government and industry.

Master in Construction Engineering and Management

Stevens Institute of Technology - Graduate Studies
Campus Online Full time Part time 2 years Request Info USA Hoboken + 2 more

Gain powerful skills in both construction engineering and business management and prepare to lead mega-projects around the world.

Master in Applied Artificial Intelligence

Stevens Institute of Technology - Graduate Studies
Campus Online Full time Part time 2 years Request Info USA Hoboken + 2 more

Stevens is traversing new frontiers in artificial intelligence by offering one of the first graduate programs in the country to explore AI applications for engineering.

Master of Engineering in Systems Engineering

Stevens Institute of Technology - Graduate Studies
Campus Online Full time Part time 2 years Request Info USA Hoboken + 2 more

Capable systems leaders, with the technical knowledge to design cutting edge systems and the skills to operate, and maintain them in an increasingly complex, globally interconnected business and policy environment, are in demand in the 21st century.

Master in Business Intelligence & Analytics

Stevens Institute of Technology - Graduate Studies
Campus Online Full time Part time 2 years Request Info USA Hoboken + 2 more

Few managers combine business acumen with the technical expertise to guide their organization into a digital era, where the value is created through artificial intelligence, deep learning, and predictive analytics.