QS Rank:
416
Stony Brook University
New York
,United States
Program Rank
58
Program Name
Ms in Data Science
Deadline
May 01st, 2025
Overview
The MS in Data Science program at Stony Brook University is designed to equip students with critical skills and knowledge necessary to thrive in today’s data-driven landscape. The program encompasses a comprehensive curriculum of 36 credits, divided into 12 courses, which includes 10 core courses and 2 electives. Students delve into a wide array of subjects, including probability, statistical learning, and data management, which are essential for understanding and applying data science methodologies effectively. This rigorous academic framework prepares students to analyze, interpret, and leverage data across various industries, making them invaluable assets in the workforce.
The core courses are strategically selected to provide a solid foundation in both theoretical concepts and practical applications. Among these, students will study courses such as AMS 507 Probability, AMS 572 Data Analysis, and CSE 581, Computer Science Fundamentals: Theory. These courses are complemented by hands-on projects and collaborative assignments that encourage students to apply their learning in real-world scenarios. By mastering these essential subjects, students will gain the ability to handle complex datasets and derive actionable insights that inform business and research decisions.
In addition to the core curriculum, the program features elective options that allow students to tailor their education according to their career aspirations. Whether interested in advanced statistical methods or emerging technologies in data science, students can choose from a range of letter-graded courses offered by the Department of Computer Science and the Department of Applied Mathematics and Statistics. Furthermore, the program includes a capstone experience, where students can opt for an internship in data science or undertake a master’s thesis, providing them with practical experience under the mentorship of faculty. This experiential learning component is crucial for bridging the gap between theoretical knowledge and practical application.
The teaching methodology at Stony Brook University emphasizes interactive learning and critical thinking. Faculty members are not only academically accomplished but also bring a wealth of real-world experience to the classroom. Many instructors are actively engaged in cutting-edge research, fostering an environment where students are exposed to the latest developments in the field. This close-knit interaction between students and faculty opens up numerous opportunities for mentorship and collaboration on research projects, further enhancing the academic experience. Students are encouraged to explore their interests through participation in faculty-led research, enabling them to contribute to innovative findings and advancements in data science.
Stony Brook University also prides itself on its extensive industry connections. The program maintains partnerships with numerous organizations, facilitating internships and job placements for students. With an impressive job placement rate of 91% and a graduation rate of 76%, graduates can confidently step into roles such as Data Scientist, Business Analyst, or Software Architect in various industries. The program’s curriculum is designed not only to impart knowledge but also to ensure that students are career-ready upon graduation, equipped with both the technical skills and professional competencies necessary for success in the workforce.
Unique features of the MS in Data Science program include access to state-of-the-art resources and facilities, as well as a diverse student body that fosters a collaborative learning environment. With an international diversity rate of 19.6%, students will have the opportunity to engage with peers from various cultural and academic backgrounds, enhancing their learning experience. Moreover, the university's location in New York provides access to a vibrant tech ecosystem, allowing students to engage with industry leaders and participate in networking events that can lead to valuable career opportunities.
**Why Study MS in Data Science at Stony Brook University**
- Comprehensive curriculum featuring 36 credits with a blend of core and elective courses.
- Experienced faculty with strong academic and industry backgrounds.
- Robust career support with a high job placement rate of 91%.
- Opportunities for internships and research collaborations with faculty.
- Access to cutting-edge resources and facilities to enhance learning and innovation.
- Diverse student population fostering a rich learning environment.
- Strategic location in New York, connecting students with a vibrant tech community.
The admission process is structured to ensure that candidates meet specific criteria, which includes submitting academic transcripts, letters of recommendation, TOEFL or IELTS scores for non-native English speakers, and a personal statement. The application fee is set at $100. Prospective students should be prepared to present a well-rounded application that demonstrates their qualifications and passion for data science.
In summary, Stony Brook University's MS in Data Science program offers a well-rounded, rigorous education that equips students with the knowledge and skills necessary for a successful career in this rapidly evolving field. With a blend of theoretical learning, practical experience, and access to industry connections, graduates emerge well-prepared to meet the demands of the job market and excel in their chosen career paths.
Total Tuition Fees
$36,720
Duration
18 Months
Median Salary
$70,686
Ranking
#77
US World and News Report
#416
QS World University Rankings
Intake
Spring ( Apr - June )
Intake
Fall ( Sept - Nov )
Class Profile
Class Size
29
Average Age
2
Average Work Experience
2 Years
Diversity
California:
20%Florida:
5%New York:
40%Texas:
10%Illinois:
3%Others:
22%Career Outcomes
Median Earnings After Graduation
$70,686 / year
Graduation Rate
76%
Job Placement
91%
Prospective Job Roles
Statistician
Marketing manager
Research Scientist
Software Architect
Data Scientist
Business Analyst
Project Manager
Big Data Engineer
Financial Manager
Big Data Specialist
Data analyst
Top recruiters
Eligibility Criteria
English Proficiency Tests
TOEFL
80
IELTS
7
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: 100
Transcript
TOEFL
IELTS
Academic LOR
Academic LOR
Professional LOR
WES/ECE evaluation
Resume
Personal Statement
Application Deadlines
| Standard Deadline | |
|---|---|
| Fall | May 1, 2025 |
Fees and Funding
Tuition Fees
$36,720 / year
Overall Cost
$99,720 / year
Average Total Aid Awarded
$13,430 / year
Funding Options
Department Funding
External Sources - Scholarships
Scholarships
MS students are not typically considered for financial support or tuition waiver at the time of admission. However, in a small number of cases qualified MS students are able to receive partial support via departmental or campus opportunities.
Send graduate admissions related questions to: [email protected].
FAQs
Applicants must upload a clear and legible scan of all undergraduate and graduate (if applicable) transcripts, as well as degree evaluations or translations for international credentials (if applicable, see rules below), into their online application prior to the application deadline. Applications without transcript scans will not be reviewed by the admissions committee. Unofficial domestic transcripts and unofficial international transcripts, evaluations, and translation copies are acceptable for an admission decision to be made. For applicants with international credentials, in some instances where the coursework, degree equivalency, GPA, and/or institution cannot be verified, a course-by-course evaluation from one of Stony Brook University's approved NACES members listed below, may be required. World Education Services (WES) International Education Evaluations, Inc. (IEE) Education Credential Evaluators (ICE) If a degree is not transcribed in English, then applicants with international credentials must submit an official English translation (from any of the above approved NACES members) of all coursework showing a complete course-by-course record, GPA, degree, and institution, in addition to the original documents. However, if admitted, the applicant must submit final official undergraduate and graduate (if applicable) transcripts/evaluations/translations from their college/university or evaluation/translation agency to Stony Brook University. Applicants with domestic credentials must submit an official transcript to Stony Brook University from each undergraduate and graduate college or university attended, regardless of whether a degree was conferred. Official Final Transcripts and Other Materials should be sent to: Stony Brook University Office of Graduate and Health Sciences Admissions Health Sciences Tower, Level 2 – Rm. 271 11794-8276
A transcript is official when it is issued by the appropriate academic administrative officer at the school you attended, along with an official seal/stamp and an official signature on the document(s). Transcripts must be submitted to the program you are applying in a sealed envelope, stamped across the seal by the appropriate academic officer. Applicants must submit official transcripts of all work beyond secondary school, but only upon request from the department. Please request one official transcript from each institution you have attended. Photocopied documents or documents sealed by a non-academic representative are NOT official and will not be accepted. Transcripts not written in English must be accompanied by an official WES translation. Final transcripts state that a degree has been conferred and provide the date of conferral. A provisional certificate, therefore, is not final but temporary. Students who apply with a current in-progress transcript and are accepted to the program will be required to send an official final transcript (and evidence of degree award) for enrollment to continue at Stony Brook University.
No. Financial documents are not needed during the admissions process. If you are admitted to the program, you will receive specific instructions from the Visa and Immigration Service department via e-mail regarding the online Form I-20 process.
Applications submitted in the application system prior to midnight of the application deadline will receive full consideration for admission. International MS and PhD applications submitted to the application system after the posted deadline may be considered, but this is completely at the discretion of the admission committee. The response time for late applications may be delayed and late applications may not receive full consideration, especially for financial support. Domestic applications submitted in the application system after the posted deadline will be accepted but ARE NOT guaranteed to be reviewed.
We do not offer conditional admission to fulfill English proficiency requirements. English proficiency requirements must be met in order to be considered for admission.
The graduate school requires a minimum of 3.0 GPA for admission to any graduate program. However, note that the GPAs of typical admits are significantly higher. Students with exceptionally strong research or work experience but a GPA that is marginally below 3.0 may, in a few cases, be considered for provisional admission.
Students should report their GPA or aggregate percentage (international students) according to the standard scale used by their universities. Do not attempt to convert to the 4.0 GPA scale. In the application, report the aggregate score/GPA achieved during the full course of your studies.
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