QS Rank:

701

New Jersey Institute of Technology

New Jersey
,United States

Program Name
Master of Science in Data Science
Overview

The Master of Science in Data Science at the New Jersey Institute of Technology (NJIT) is designed to equip students with robust analytical skills necessary for the data-driven world. This program provides a comprehensive understanding of key concepts in data science, including data analytics, machine learning, statistical modeling, and business intelligence. Through a carefully crafted curriculum, students will engage in practical applications that enhance their ability to analyze vast amounts of data and derive actionable insights. With an increasing demand for data professionals in various industries, this program positions graduates for success in a highly competitive job market.
At NJIT, the data science curriculum is rich and diverse. Core courses cover essential topics such as data mining, data visualization, predictive analytics, and database systems. Students also have the opportunity to specialize in various subfields through elective courses that delve deeper into areas like artificial intelligence, big data technologies, and business analytics. This multidisciplinary approach ensures that graduates are well-rounded and can tackle complex problems across different sectors, from healthcare to finance and beyond.
The faculty at NJIT is comprised of renowned scholars and industry professionals with extensive experience in data science and related fields. They employ innovative teaching methodologies that combine theoretical knowledge with hands-on training, fostering an interactive learning environment. Faculty members are dedicated to mentoring students, providing guidance on research projects, and facilitating connections with industry leaders. Their expertise not only enhances the learning experience but also inspires students to achieve their academic and professional goals.
Research opportunities at NJIT are abundant, enabling students to engage in cutting-edge projects that contribute to advancements in data science. The university is home to state-of-the-art laboratories equipped with the latest technology, providing students with the resources necessary to conduct meaningful research. Collaboration with faculty on research initiatives allows students to publish their findings in reputable journals and present at conferences, further enhancing their credentials and academic profiles.
In addition to academic excellence, NJIT has established strong industry connections that benefit its students. The program emphasizes practical experience through internships with leading organizations in the tech industry. These internship opportunities not only provide valuable work experience but also facilitate networking, often leading to job placements post-graduation. The university's dedicated career services team is committed to helping students navigate the job market, offering workshops, resume reviews, and interview preparation to ensure they are well-prepared to enter the workforce.
Graduates of the Master of Science in Data Science program enjoy a wide range of career pathways. They are well-prepared for roles such as data scientists, business intelligence analysts, data engineers, and machine learning specialists, among others. The skills acquired during the program open doors to various sectors, including technology, finance, healthcare, and government. Alumni have reported impressive job placement rates, often securing positions with reputable companies shortly after graduation.
Alumni of NJIT's Data Science program have gone on to achieve remarkable success in their careers. For instance, many have secured positions at Fortune 500 companies, while others have pursued entrepreneurial ventures in the tech space. Testimonials from alumni highlight the program's impact on their careers, citing the practical skills acquired and the supportive alumni network as key factors in their professional development.
Unique features of the Master of Science in Data Science program at NJIT set it apart from other institutions. The program’s blend of theoretical knowledge and practical application, coupled with strong ties to industry, creates an enriching educational experience. Additionally, the emphasis on research and innovation encourages students to think critically and creatively, fostering a culture of inquiry and exploration.
To apply for the Master of Science in Data Science program, prospective students should note that a strong academic record is essential. While standardized test scores such as the GRE are not explicitly required, applicants are encouraged to demonstrate their quantitative skills through previous coursework or relevant experience. Additionally, proficiency in English is mandatory, with minimum score requirements for the IELTS (6.5) and TOEFL (79) exams. The application process involves submitting a completed application form, a non-refundable application fee of $75, and relevant transcripts.
Why Study Data Science at New Jersey Institute of Technology?
- Diverse learning environment with a significant international student population, fostering cross-cultural collaboration.
- Access to distinguished faculty who bring real-world experience and are committed to student mentorship.
- Innovative labs and resources that support hands-on learning and research initiatives.
- Robust career services and internship programs that ensure high job placement rates for graduates.
- An emphasis on interdisciplinary learning that prepares students for a variety of roles in the tech industry.

Duration
18 Months
Ranking
#813
US World and News Report
#501
The World University Rankings
#701
QS World University Rankings
Class Profile
Diversity
International:
10%Others:
5%California:
10%Illinois:
5%Pennsylvania:
15%New Jersey:
45%New York:
20%Eligibility Criteria
English Proficiency Tests
IELTS
6.5
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: 75
Application Deadlines
Fees and Funding

Tuition Fees
$35,200 / year
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