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Master of Science in Machine Learning

Estados Unidos

¿Qué aprenderé?

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

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

The machine learning master’s program establishes the theoretical and practical foundations necessary to be at the forefront of progress in the next technological revolution. Advancements made in machine learning and related disciplines will soon touch every piece of technology, making an advanced degree an essential asset for a successful career.

The rapidly expanding field of machine learning has a multitude of applications in diverse areas such as intelligent systems, computer vision, speech recognition, natural language processing, robotics, finance, information retrieval, bioinformatics, healthcare, and weather prediction.

Our unique master’s program develops a thorough understanding of deep learning theory and familiarizes students with the most important machine learning paradigms. This allows them to apply or develop the appropriate methods in real-world applications, whether pursuing a career in industry, academia, or research.

The Stevens Advantage

The Stevens campus is located in the heart of the New York City metropolitan area where over 7,500 tech companies are engaged in creating the future. Industry leaders like Google, Facebook, Amazon, Microsoft and Bloomberg, along with a vibrant startup scene are hiring tens of thousands of tech-professionals. Stevens’ location and long history of career placement success in the tech industry provides you with networking opportunities you won’t find anywhere else in the U.S.

Career Opportunities

  • Research Scientist
  • Machine Learning Engineer
  • Data Scientist
  • Business Intelligence Developer
  • Data Engineer
  • R&D Engineer.

¿En cuál departamento estoy?

Charles V. Schaefer Jr. School of Engineering and Science

Opciones de estudio

a tiempo completo (30 horas de crédito)

Costos de estudio
US$40.940,00 por año
Fecha de inicio

Esperado Septiembre 2023

Lugar

Charles V. Schaefer Jr. School of Engineering and Science

Edwin A. Stevens Hall (EAS),

24 5th Street,

HOBOKEN,

New Jersey,

7030, United States

En línea/Distancia (30 horas de crédito)

Costos de estudio
US$40.940,00 por año
Fecha de inicio

Esperado Septiembre 2023

Requerimiento de entrada

Para estudiantes de Estados Unidos

Applicants have a bachelor's degree from an accredited college or university.

Para estudiantes internacionales

Students must have a bachelor’s degree, with a minimum GPA of 3.0, from an accredited institution.

English language proficiency students must score at least 74 on TOEFL iBT, 550 on TOEFL PBT, 6 on IELTS.

Full time Application Deadline: 15th April for Fall; 1st November for Spring. Online Application Deadlines: Fall: August 15; Spring: January 15.

Puede haber diferentes requisitos de IELTS en función del curso elegido.

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