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Data Science, M.S.

The Data Science, M.S. is designed for students with a computer science or related background interested in pursuing data analytics, machine learning, visualization, and more. You'll learn how to employ data science concepts and methods to solve problems in business and scientific contexts and communicate these solutions effectively. You'll study computing theory, languages, and algorithms, and use mathematical and statistical models to formulate and implement data analyses and learn to apply them ethically.

Our practical curriculum incorporates case studies in advanced topics of computer architecture from classic and modern processors, including large-scale systems. You may also participate in sponsored research projects alongside faculty members from funding sources such as the Department of Defense.

Campus Information

New York

Connect to the energy and opportunities of one of the world’s most exciting and cosmopolitan cities. Our New York City campus places you in the heart of Manhattan—the global capital of culture, finance, media, technology, and almost everything else.

Long Island

Tranquility and natural beauty. Academic and athletic opportunity. New York Tech's Long Island campus (Old Westbury, N.Y.) offers it all on Long Island’s historic North Shore. Named one of the nation’s safest campuses, our Long Island location is about an hour outside of New York City.

Intakes

Application Processing Time in Days: 30

Application Process

Visa Process

30 Days

Minimum English Language Requirements

English Level Description	IELTS (1.0 -9.0)	TOEFL IBT (0-120)	TOEFL CBT (0-300)	PTE (10-90)
Expert	9	120	297-300	86-90
Very Good	8.5	115-119	280-293	83-86
Very Good	8	110-114	270-280	79-83
Good	7.5	102-109	253-267	73-79
Good	7	94-101	240-253	65-73
Competent	6.5	79-93	213-233	58-65
Competent	6	60-78	170-210	50-58
Modest	5.5	46-59	133-210	43-50
Modest	5	35-45	107-133	36-43
Limited	4	32-34	97-103	30-36
Extremely Limited	< 4	< 31	< 93	< 30

Job Opportunity Potential

Applications Architect
Advanced Data Analyst
Business Intelligence Developer
Data Scientist
Data Developer
Data Engineer
Infrastructure Architect
Machine Learning Engineer
Statistician

PSW Opportunity

12 to 36 months( OPT duration depends on the major studied).

Admission Requirement / Eligibility Criteria

Applicants must possess a bachelor's degree from an accredited institution, with a GPA of 2.85 or higher on a 4.0 scale.
- Applicants who do not qualify for full matriculation and have an undergraduate GPA between 2.5 and 2.84, may be conditionally admitted at the discretion of the program director.
As data science is an interdisciplinary field, we welcome applicants from diverse professional backgrounds. However, applicants should have the following prerequisites:
1. One computer programming course
2. One college-level statistics course
3. Basic linear algebra
4. Basic database systems
Students with an insufficient background for direct admission into the Data Science M.S. program may be admitted if they take the required prerequisite course(s), with the approval of the director.
Submit GRE scores:
- Graduates of foreign universities are required to take the GRE and submit their scores.
- U.S. students with a GPA below 2.85 may, at the discretion of the dean, be asked to take the GRE or other diagnostic tests. Admission will be based upon consideration of test results, previous academic performance, and related employment, if applicable.

For More Information Please Contact to Our Counselor.

New York Institute of Technology

Long Island , New York ,United States