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MS in Machine learning in USA

A Master of Science, M.Sc., or MS is a postgraduate degree offered by most universities worldwide. MS, as a graduate degree, provides knowledge and training in specific areas of science, technology, mathematics, behavioural sciences, medicine, nursing, social work, and a wide variety of related multidisciplinary subject areas. Students can pursue M.S. programmes in biology, chemistry, physics, environmental science, data science, computer science, cybersecurity, and other fields. Some MS programmes include a master's thesis component and a capstone project in applied research. M.S. programmes can include either classroom instruction, laboratory research, or a combination of both. Depending on the discipline and structure of the programme, these programmes typically take one to two years of full-time enrollment. A scientific thesis is usually required to earn an M.Sc. degree, but this depends on the type of study programme. The primary admissions requirement for M.S. programmes is a bachelor's degree from an accredited college or university. Individual programmes may have additional admissions criteria, such as a minimum cumulative GPA, standardised test scores (typically the GRE or GMAT), or prerequisites for specific undergraduate courses. An MS degree provides industry knowledge through internships, advanced projects, and a strong emphasis on developing professional skills. It assists you in bridging the gap between your academic and professional lives. Want to study MS in the best colleges abroad? Here is the list of top universities to pursue an MS in Machine Learning in the USA?

USA

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Machine Learning

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Postgraduate

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Drexel University, Philadelphia, USA

MS in Machine Learning Engineering

Duration

18 Months

Overall Fees

Varies

Eligiblity

IELTS: 6.5, TOEFL: 90

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