
New York Institute of Technology, Manhattan

New York
,United States

Program Name
Master of Science in Data Science
Overview

The Master of Science in Data Science program at the New York Institute of Technology, Manhattan is a premier graduate program designed to equip students with the essential skills and knowledge needed to excel in the rapidly evolving field of data science. With a duration of 24 months, this comprehensive program delves deeply into both Data Science and Business Intelligence, ensuring that graduates are not only adept at data analysis but also skilled in utilizing that data for strategic decision-making within organizations. The curriculum is meticulously designed to cover a wide spectrum of topics, including statistical modeling, machine learning, data mining, and data visualization, thereby providing a robust foundation for future data professionals.
At the heart of the program is an interactive and hands-on curriculum that emphasizes practical experience alongside theoretical knowledge. Students will engage in a diverse array of courses, such as Data Mining and Machine Learning, Big Data Analytics, and Data Visualization Techniques. Each course is tailored to provide real-world experience through case studies, collaborative projects, and cutting-edge technologies. Furthermore, students will have access to advanced tools and software commonly used in the industry, which enhances their learning experience and prepares them for immediate employment upon graduation.
The teaching faculty at NYIT are distinguished professionals and scholars in the field of data science, bringing a wealth of expertise and experience to the classroom. They employ innovative teaching methodologies that foster an engaging and dynamic learning environment. Faculty members are not only committed to imparting knowledge but also actively engage with students through mentorship and research collaboration. This unique approach ensures that students receive personalized attention, enabling them to thrive academically and professionally.
Another crucial aspect of the Master of Science in Data Science program is the wealth of research opportunities available to students. The College of Engineering and Computing Sciences at NYIT is equipped with state-of-the-art research facilities and labs, encouraging students to participate in groundbreaking projects that can contribute to advancements in the field. Students can collaborate with faculty on various research initiatives, which can lead to publications and presentations at prestigious conferences, further enhancing their academic credentials.
Moreover, the program offers invaluable industry connections and internship possibilities that are vital for professional development. NYIT has established partnerships with a range of organizations and companies in the New York metropolitan area, which provide students with access to internships and job placements. These hands-on experiences not only bolster students' resumes but also allow them to build a professional network that can be instrumental in securing employment after graduation. The program’s strong emphasis on real-world applications ensures that students graduate with the skills and experience necessary to meet the demands of today’s data-driven job market.
Graduates of the Master of Science in Data Science program typically find themselves in high demand across various sectors, including technology, finance, healthcare, and consulting. They are well-prepared for positions as Data Analysts, Data Scientists, Business Intelligence Analysts, and Machine Learning Engineers. The program aims to bridge the gap between academic learning and practical application, facilitating a seamless transition into the workforce. Alumni of the program have reported successful job placements with leading companies, further attesting to the program’s effectiveness in fostering career growth.
Success stories from alumni highlight the transformative impact of the program on their careers. Many graduates have gone on to work for Fortune 500 companies, startups, and research institutions, contributing to innovative projects and initiatives. Testimonials from former students emphasize the supportive community and the exceptional quality of education they received, which played a crucial role in their professional development. The program not only equips students with technical skills but also instills a strong foundation in critical thinking and problem-solving—essential qualities for any data professional.
In addition to the robust curriculum and career support, the Master of Science in Data Science program at NYIT is distinguished by its commitment to creating a diverse and inclusive learning environment. With a notable international student population, the program fosters cross-cultural collaboration and the sharing of diverse perspectives, enriching the overall educational experience.
Why Study Data Science at New York Institute of Technology, Manhattan?
- A well-rounded curriculum that includes advanced courses in statistical modeling, machine learning, and data mining.
- Access to state-of-the-art research facilities and labs that facilitate hands-on learning.
- Experienced faculty who are leaders in their fields, providing mentorship and research opportunities.
- Strong industry connections that offer students valuable internship and job placement opportunities.
- A supportive and diverse community that enriches the learning experience and fosters collaboration.
- High graduate employment rate, with alumni successfully securing roles in esteemed organizations globally.
- An emphasis on practical applications of data science knowledge to solve real-world problems.
For those considering this program, it is important to be aware of the requirements and prerequisites. Applicants are encouraged to have a background in mathematics, statistics, or computer science. Standardized test scores may vary, so prospective students should check the specific requirements for their application. Proficiency in English is necessary, with minimum scores required for IELTS, PTE, or TOEFL tests. The application process also includes an application fee and submission of relevant documentation.
Overall, the Master of Science in Data Science from the New York Institute of Technology, Manhattan provides a rich and comprehensive education designed to foster future leaders in the field of data science. With a focus on practical training, research opportunities, and strong industry connections, this program is an excellent choice for aspiring data professionals looking to make a significant impact in the world of data.

Duration
24 Months
Class Profile
Diversity
California:
20%Texas:
15%Florida:
10%Others:
20%Illinois:
5%New York:
30%Eligibility Criteria
English Proficiency Tests
IELTS
6
PTE
53
TOEFL
79
Application Requirements
Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

Application Fee: 50
Application Deadlines
Fees and Funding

Tuition Fees
$23,100 / year
FAQs
Applicants are encouraged to have a background in mathematics, statistics, or computer science. Additionally, proficiency in English is necessary, with minimum scores required for standardized tests such as IELTS, PTE, or TOEFL. The application process includes an application fee and submission of relevant documentation. It is advisable for prospective students to check the specific requirements for their application as standardized test scores may vary.
The Master of Science in Data Science program is designed to be completed in 24 months. The curriculum is comprehensive and covers a wide range of topics including statistical modeling, machine learning, data mining, and data visualization. Students will engage in diverse courses that emphasize both theoretical and practical knowledge, ensuring a well-rounded education.
The program employs innovative teaching methodologies that foster an engaging and dynamic learning environment. Faculty members are distinguished professionals who not only impart knowledge but also actively engage with students through mentorship and research collaboration. This approach ensures personalized attention for students, enabling them to thrive both academically and professionally.
The program provides a wealth of research opportunities through the College of Engineering and Computing Sciences, which is equipped with state-of-the-art research facilities and labs. Students are encouraged to participate in groundbreaking projects that may lead to publications and presentations at prestigious conferences, enhancing their academic credentials.
The program emphasizes industry connections and offers numerous internship opportunities through established partnerships with a range of organizations in the New York metropolitan area. These hands-on experiences are crucial for professional development, allowing students to bolster their resumes and build a professional network that is instrumental in securing employment after graduation.
Graduates of the Master of Science in Data Science program find themselves in high demand across various sectors, including technology, finance, healthcare, and consulting. They are well-prepared for positions such as Data Analysts, Data Scientists, Business Intelligence Analysts, and Machine Learning Engineers. Alumni have successfully secured roles in esteemed organizations, indicating the program’s effectiveness in fostering career growth.
- A well-rounded curriculum that includes advanced courses in statistical modeling, machine learning, and data mining.
- Access to state-of-the-art research facilities that facilitate hands-on learning.
- Experienced faculty who are leaders in their fields, providing mentorship and research opportunities.
- Strong industry connections that offer valuable internship and job placement opportunities.
- A supportive and diverse community that enriches the learning experience.
- A high graduate employment rate, with alumni securing roles in esteemed organizations globally.
- An emphasis on practical applications of data science to solve real-world problems.
The NYIT Master of Science in Data Science program is distinguished by its commitment to creating a diverse and inclusive learning environment, with a notable international student population that fosters cross-cultural collaboration. Additionally, the program offers a strong emphasis on real-world applications through collaborative projects and case studies, ensuring that students are well-prepared for the demands of today’s data-driven job market.
Alumni of the program often share their success stories, highlighting the transformative impact of the program on their careers. They contribute to building a supportive community where current students can benefit from networking opportunities and mentorship. Testimonials from former students emphasize the exceptional quality of education received, which plays a crucial role in the professional development of graduates.
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