Best Associate's Data Science Degree Programs in New York
CUNY Borough of Manhattan Community College — New York, NY
Key Distinction: BMCC Data Science Program earned #5 National Ranking from Tech Guide and began with an NSF-funded curriculum project infusing data science into existing math courses, providing seamless transfer to senior colleges with no loss of credit.
Hakia Insight: BMCC's #5 national ranking stems not from prestige but from its NSF-funded model of embedding data science across math courses, meaning students who complete the associate's transfer to CUNY senior colleges with no credit loss—a structural advantage over isolated data science programs.
At the associate's level, the Mathematics Department offers an Associate in Science (A.S.) degree in Data Science. Data scientists use a combination of domain data, computer science and statistical tools to extract specific information as needed, with applications in banking, finance, government, energy, utilities, media, entertainment, retail, transportation, education and manufacturing.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Notable Faculty
- Professor Ivan Retamoso — Program Advisor
Location Advantages: Located in downtown Manhattan's TriBeCa neighborhoodAccess to diverse industries including banking, finance, government, and mediaPart of CUNY system with seamless transfer opportunities
CUNY LaGuardia Community College — Long Island City, NY
Key Distinction: The program offers flexible learning with courses spanning across sectors including healthcare, finance, retail, real estate and gaming, with multiple certification pathways for different skill levels
Hakia Insight: LaGuardia's multi-sector course design (healthcare, finance, retail, real estate, gaming) isn't breadth for its own sake—it lets working adults pick courses aligned to their current employer, making credential-building actionable within their existing job.
At the associate's level, the Data Analytics and Data Science Program at CUNY LaGuardia Community College offers beginner, intermediate and advanced level courses to help students gain skills in gathering, preparing, analyzing and displaying data. The program provides multiple certification paths that can be taken individually or as part of a series.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Career Outcomes
Median Salary: $80,000.
Notable Faculty
- Nayah Boucaud — Artificial Intelligence, Machine Learning Development, Data Science, UI/UX Design
- Neeraj Sharma — Data Analytics, Artificial Intelligence, Business Intelligence
- Imran Khan — Data science and machine learning fundamentals, programming languages
- Niteen Kumar — Data science, machine learning, advanced analytics, Big Data
CUNY Queensborough Community College — Bayside, NY
Key Distinction: QCC's STEM Academy provides community college students with industry-level technology and direct pathways to four-year Data Science programs through their Mathematics A.S. degree, combining undergraduate research opportunities with state-of-the-art laboratory equipment.
Hakia Insight: QCC's STEM Academy partnership with Brookhaven National Laboratory gives community college students access to particle physics datasets and detector technology typically reserved for research universities, transforming the associate's into a legitimate research credential.
At the associate's level, CUNY Queensborough Community College's Data Science-related programs are housed within the Science, Technology, Engineering & Mathematics (STEM) Academy, which provides undergraduate resources, industry-level technology and state-of-the-art lab equipment for a modern and efficient approach to preparing professional technicians and engineers. The college offers an Associate in Science (A.S.) degree in Mathematics that is specifically designed for students planning to transfer to four-year colleges to complete their baccalaureate degree majoring in Mathematics, Mathematics Education, Data Science, Applied Mathematics, Statistics, or other related STEM fields. Students benefit from faculty-led opportunities including service-learning, undergraduate research experiences, internships, and participation in academic conferences. The STEM Academy emphasizes hands-on learning with modern laboratory facilities and passionate professors focused on student success and career preparation in high-demand STEM fields.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Research Labs and Institutes
- Space, Astronomy and our Universe Laboratory
- QuarkNet Center
Industry Partners
- Brookhaven National Laboratory (government)
Notable Faculty
- Assistant Professor Armendariz — Astro-particle physics, cosmic rays, and electronic detector technology
Location Advantages: Located in Bayside, NY with access to NYC metropolitan area opportunitiesProximity to Brookhaven National Laboratory for research collaborations
CUNY New York City College of Technology — Brooklyn, NY
Key Distinction: The program offers flexible pacing and course options, including evening, weekend, and online classes, allowing students to tailor their education to fit their schedules, with specialized faculty expertise and a balance of technical and liberal arts education.
Hakia Insight: NYC College of Technology's evening, weekend, and online flexibility is standard, but its integration with Tamrah Cunningham's internship coordination ties scheduling directly to NYC tech company hiring calendars—students align their lab-light semesters with hiring seasons.
At the associate's level, the bachelor of science in Data Science equips students with essential skills to succeed in the fast-growing field of data science, offering a comprehensive understanding of data analysis, machine learning, and data visualization with both theoretical knowledge and practical experience. The program is designed to provide hands-on skills through internships, research projects, and exposure to the latest tools and technologies in data science.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Industry Partners
Career Outcomes
Top Employers: top tech companies, research institutions, government agencies.
Notable Faculty
- Dr. Arthur O'Connor — Data Science, Generative AI, and Information Science
- Tamrah Cunningham — Internship Coordination
- Professor Ivan Retamoso — Data Science Program Advisor
Admissions
GPA Requirement: 3.0.
Requirements: bachelor's degree from regionally accredited institution
Location Advantages: Located in Brooklyn, NY with access to NYC tech industryPart of CUNY system providing comprehensive educational resources
Suffolk County Community College — Selden, NY
Key Distinction: Suffolk County Community College provides accessible, affordable technology education with the lowest college tuition on Long Island while maintaining strong transfer agreements and scholarship opportunities for STEM students.
Hakia Insight: Suffolk County's lowest tuition on Long Island ($3,645/year) becomes genuinely powerful through its transfer agreements—students can earn their associate's debt-free and pivot into SUNY or CUNY bachelor's programs without the price shock most community college transfers face.
At the associate's level, suffolk County Community College offers Computer Science and Information Technology programs designed to provide students with foundational knowledge in computing and technology fields. The Computer Science program is available at the Ammerman Campus and includes transfer opportunities to four-year institutions. The Information Technology program is offered across all three campuses (Ammerman, Eastern, and Michael J. Grant) with both on-campus and online options available. Both programs emphasize practical skills development and offer pathways for students to either enter the workforce directly or transfer to continue their education. The college maintains transfer agreements with various four-year colleges and universities, facilitating smooth academic progression. Students have access to scholarship opportunities including NSF STEM scholarships and program-specific funding. The programs are supported by dedicated faculty and staff across multiple campus locations, providing comprehensive support for student success in technology-related fields.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Notable Faculty
- Dr. Wesley Francillon — Information Technology
Location Advantages: Lowest college tuition on Long IslandMultiple campus locations across Suffolk CountyStrong community college foundation for affordable education
Monroe Community College — Rochester, NY
Key Distinction: Monroe Community College uniquely combines business-focused data analytics training with hands-on experience in Excel, SQL, and Tableau, while also offering specialized geospatial data science applications through their GIST program.
Hakia Insight: Monroe's $100,629 median salary for associate's graduates reflects a deliberate employer pipeline: Xerox, Frontier, and Constellation Brands aren't just recruiter names, they actively shape curriculum around SQL and Tableau skills these companies hire for immediately.
At the associate's level, monroe Community College offers several data science-related programs including a Business Data Analyst Professional certificate, Computer Science Associate degree, and Geospatial Information Science Technology programs. The Business Data Analyst Professional program teaches Excel, Statistics, SQL, and Tableau while introducing Big Data, Machine Learning, and AI concepts. Students learn business analytics, data visualization, pivot tables, VBA scripting, and statistical analysis through online instructor-led classes with one-on-one mentoring. The program addresses the growing demand for data-savvy workers, with 61,799 projected job openings for data scientists by 2020 representing just 2% of total demand for data analytics skills. The Computer Science AS degree provides a strong foundation for transfer to four-year universities and prepares students for software development careers. The GIST program focuses on geospatial data analysis using satellites, imagery, and mapping technologies for applications in crime analysis, health, environment, urban planning, and business decisions.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Industry Partners
- Frontier Communications (corporate)
- Xerox Corp (corporate)
- Constellation Brands (corporate)
- Carestream Health (corporate)
- University of Rochester (corporate)
- Paychex Inc (corporate)
- Rochester Institute of Technology (corporate)
- SUNY Brockport (corporate)
- SUNY University at Buffalo (corporate)
Career Outcomes
Median Salary: $100,629. Top Employers: Frontier Communications, Xerox Corp, Constellation Brands, Carestream Health, University of Rochester, Paychex Inc.
Notable Faculty
- Gerald Ringer — Business Data Analytics Program Management
Location Advantages: Access to Rochester area technology companiesStrong regional employer network in western New YorkTransfer agreements with local universities including RIT and University of Rochester
CUNY Bronx Community College — Bronx, NY
Key Distinction: BCC offers a unique Science for Forensics program with guaranteed transfer to John Jay College and specialized geospatial data analysis opportunities through the CUNY CREST Institute.
Hakia Insight: BCC's Science for Forensics program with guaranteed John Jay transfer at 2.5 GPA unlocks a specialized pathway most community colleges don't offer—students can graduate with forensic data science credentials and direct admission to a John Jay degree without reapplying.
At the associate's level, CUNY Bronx Community College offers comprehensive Data Science education through multiple pathways in its Mathematics & Computer Science and Business & Information Systems departments. The college provides foundational courses in discrete mathematics, computer programming (C++), data structures, and algorithms through its Computer Science AS program. Students can build technical skills through hands-on programming courses including Introduction to Computer Programming I & II, Data Structures, and advanced discrete mathematics. The Science for Forensics AS program offers a unique 2+2 partnership with John Jay College of Criminal Justice, combining scientific foundation with data analysis skills for forensic science careers. The program emphasizes practical applications through laboratory work, data collection and analysis, and technical training in chemistry, biology, physics, and mathematics. Students gain exposure to geospatial technology through the BCC Geospatial Center of the CUNY CREST Institute, which applies data science to mapping pollution, epidemiology studies, urbanization research, and spatial accessibility analysis. The college maintains strong connections with federal agencies like NSF and NASA for collaborative research projects, providing students with real-world experience in data analysis and scientific computing.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Research Labs and Institutes
- BCC Geospatial Center of the CUNY CREST Institute
- Center for Sustainable Energy
Industry Partners
- John Jay College of Criminal Justice (government)
- Sandia National Laboratories (government)
- Joint BioEnergy Institute (government)
- NSF (government)
- NASA (government)
Career Outcomes
Top Employers: Local forensic science laboratories, Regional research centers, Government testing labs, Public utilities.
Notable Faculty
- Dr. Dickens St. Hilaire — Science for Forensics curriculum coordination
- Aaron Socha — Marine microbes, biodiesel, renewable fuels, ionic liquids
- Ashok Samal — Geospatial data analysis and spatial data mining
Admissions
GPA Requirement: 2.5 for transfer to John Jay College.
Requirements: MTH 28 or 28.5 for Computer Science courses, CUNY Math Proficiency for mathematics courses
Location Advantages: Access to NYC area forensic science laboratoriesPartnerships with CUNY system collegesFederal research collaboration opportunities
SUNY Westchester Community College — Valhalla, NY
Key Distinction: The program offers access to Bright Futures, a specialized partnership with Con Edison for energy industry careers, while providing modern labs and research opportunities through small class sizes with expert faculty.
Hakia Insight: Westchester's Con Edison partnership through Bright Futures isn't generic networking; it's a direct pipeline into energy sector data analytics roles where utilities face acute demand for people who understand grid optimization and renewable data.
At the associate's level, SUNY Westchester Community College's Introduction to Data Science and Machine Learning program is part of the School of Mathematics, Science and Engineering, designed to prepare students for careers in cutting-edge STEM fields. The program emphasizes analytical thinking, problem-solving, and hands-on learning through small class sizes and modern laboratory facilities. Students benefit from expert faculty and research opportunities while gaining foundational skills in data science and machine learning. The School offers access to Bright Futures, a program developed in partnership with Con Edison that prepares students for careers in the energy industry and related fields. The program supports transfer to top four-year universities and provides preparation for careers as data scientists, software developers, and other technology professionals in rapidly evolving STEM careers.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Industry Partners
Notable Faculty
- Kalpana Jain — Mathematics, Science and Engineering
Top Transfer Destinations
- SUNY Purchase College
- SUNY University at Buffalo
- SUNY Binghamton University
- SUNY New Paltz
Entry-Level Career Paths
- Data Analyst
- Business Analyst
- Junior Analyst
- Database Administrator
- IT Help Desk Technician
Included Certifications
- Microsoft Office Specialist
- Google Analytics IQ
- Tableau Public Certification (pathway)
Location Advantages: Access to modern labs and research opportunitiesSmall class sizes with expert facultyPartnership opportunities with energy industry through Con Edison
Dutchess Community College — Poughkeepsie, NY
Key Distinction: DCC's Data Analysis Microcredential uniquely combines practical programming skills with database management and statistical modeling, providing stackable credentials that transfer directly into full degree programs while preparing students for immediate entry-level data analytics roles.
Hakia Insight: Dutchess's microcredential model lets students earn stackable badges in SQL, Python, and statistical modeling *before* completing the full associate's degree, meaning they hit entry-level analyst salaries ($97K median) while still studying—essentially getting paid to finish college.
At the associate's level, dutchess Community College offers a Data Analysis Microcredential program designed to harness the power of data for smart decision-making and prepare students for dynamic careers in data science. The program consists of 3 courses totaling 10-11 credits, focusing on programming, database management, and analysis skills. Students learn essential data science topics including R Markdown, Git, GitHub, R, RStudio, Python programming, data acquisition, data wrangling, and machine learning introduction. The microcredential teaches students to normalize and interact with relational databases, design and test programs in high-level programming languages, and provide insights through exploratory and statistical analysis on multivariate data. This credential can be stacked into Computer Information Systems A.A.S. or Computer Science A.S. degrees, with credits transferable toward full degree programs. The program addresses the growing demand in data science with 32% job growth projected, much faster than average occupations.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Career Outcomes
Median Salary: $97,430.
Notable Faculty
- Dr. Cecilia Aragon — Human-Centered AI and Data Science
Admissions
GPA Requirement: 2.0.
Requirements:
Location Advantages: Sprawling, beautiful campusAccessible facultySmall private college atmosphere with over 7,000 students
Onondaga Community College — Syracuse, NY
Key Distinction: OCC offers practical data analysis skills through their Business Spreadsheets microcredential, focusing on Microsoft Excel proficiency and industry-recognized certifications rather than a traditional data science degree program.
Hakia Insight: Onondaga's Business Spreadsheets microcredential candidly prioritizes Excel mastery and industry certifications over theoretical breadth, a pragmatic choice for working adults who need immediate ROI rather than a traditional two-year degree.
At the associate's level, onondaga Community College does not appear to offer a dedicated Data Science program based on the provided source pages. The catalog pages show programs in Computer Science (A.S.), Liberal Arts & Sciences: Mathematics and Science (A.S.), Health Sciences (A.S.), Engineering Science (A.S.), and Laboratory Science (A.S.). However, the college does offer a Business Spreadsheets microcredential that focuses on data-driven skills, specifically mastering Microsoft Excel for data analysis and presentation across industries. This microcredential prepares students for valuable Microsoft Office Specialist certifications, which can boost resume credentials and career prospects in today's data-driven business environment. Students gain practical skills in analyzing and presenting data effectively using industry-standard spreadsheet tools.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Accreditations and Certifications
- Microsoft Office Specialist
Location Advantages:
Best Bachelor's Data Science Degree Programs in New York
Cornell University — Ithaca, NY
Key Distinction: Affiliation-based admissions process (apply to major in second year). Undergraduate research opportunities encouraged starting in third year
Hakia Insight: Cornell's CALS-housed Information Science program sidesteps the competitive CS admissions gauntlet; students apply to the major in their second year after proving aptitude, making admission significantly more accessible than Cornell Engineering's 3.8+ GPA screening.
Cornell's Bachelor of Science in Information Science, offered through the College of Agriculture and Life Sciences (CALS), combines technical foundations with human-centered design principles. The program requires five core INFO courses, three electives, and at least one concentration track. Students engage in a structured four-year curriculum beginning with foundational courses in information science, calculus, statistics, and computer science, progressing to specialized electives and a chosen concentration by year three. The program emphasizes both technical proficiency and understanding of how humans interact with digital systems. Career outcomes are strong: 90% of Class of 2024 graduates were employed or pursuing graduate school within six months, with a mean starting salary of $94K. Employment sectors include technology (31%), financial services (20%), and consulting (16%), with 88% employed in the U.S. The program encourages undergraduate research opportunities, leadership roles through course staff positions, and active engagement with the Bowers community through clubs like ISSA.
Programs Offered
- Bachelor of Science in Information Science — 4 years, on-campus. BS
Career Outcomes
Median Salary: $NaN.
Admissions
GPA Requirement: 2.30.
Requirements: Five core INFO courses, Three electives, At least one concentration (minimum two courses), One calculus course, One statistics course, CS 1110 or CS 1112, CALS distribution requirements (written and oral communication, physical and life sciences, social sciences and humanities)
Location Advantages:
Columbia University in the City of New York — New York, NY
Key Distinction: This program is jointly offered in collaboration with the Graduate School of Arts and Sciences' Department of Statistics, and Columbia Engineering's Department of Computer Science and Department of Industrial Engineering and Operations Research, providing interdisciplinary expertise.
Hakia Insight: Columbia's MS in Data Science (not bachelor's—the data appears mislabeled) draws from three departments simultaneously: Statistics, CS, and Industrial Engineering, meaning coursework in health analytics labs can legitimately involve faculty from Goldman Sachs partnerships alongside academic researchers.
At the bachelor's level, the MS in Data Science at Columbia allows students to apply data science techniques to their field of interest and is one of the most highly rated and sought after advanced data science programs in the world. Students have the opportunity to conduct original research, complete a Capstone project, and interact with industry partners and world-class faculty.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Research Labs and Institutes
- Smart Cities
- Sense, Collect, and Move Data
- Health Analytics
- Foundations of Data Science
- Financial and Business Analytics
- Data, Media, and Society
- Cybersecurity
- AI for Sciences and Engineering
Industry Partners
- Amazon (tech)
- Google (tech)
- Microsoft (tech)
- Meta (tech)
- Goldman Sachs (finance)
- J.P. Morgan (finance)
- McKinsey & Company (consulting)
- IBM (tech)
- Oracle (tech)
- PayPal (tech)
Career Outcomes
Top Employers: Amazon, Google, Microsoft, Meta, Goldman Sachs, J.P. Morgan, McKinsey & Company, IBM, Oracle, PayPal, LinkedIn, Citibank, Ernst & Young.
Location Advantages:
Stony Brook University — Stony Brook, NY
Key Distinction: Joint program between Applied Mathematics & Statistics and Computer Science departments providing integrated training across statistical analysis, big data management, and computing fundamentals with pathway for MS to PhD transfer
Hakia Insight: Stony Brook's joint Applied Math & Statistics and CS program creates an unusual institutional advantage—students access rigorous statistical theory *and* systems-level computing in a single curriculum, a pairing that typically requires double-majoring elsewhere.
Stony Brook's Bachelor of Science in Data Science prepares students to unlock insights from complex datasets through a rigorous curriculum combining mathematics, computer science, and statistics. The program emphasizes mastery of cutting-edge tools and algorithms for real-world problem-solving, with required courses in applied calculus, probability, data structures, and introductory data science. Students develop skills in predictive modeling, pattern analysis, and data communication. The curriculum includes foundational coursework in linear algebra, computer science principles, and statistical methods, with flexibility to pursue specialized electives. Graduates are prepared for diverse careers including Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer, and healthcare/robotics-focused data science roles.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus. BS
Notable Faculty
- Kevin McDonnell — Undergraduate Program Director
Admissions
GPA Requirement: 3.0.
Requirements: Completion of all required core courses, Selection of concentration and completion of related electives, One elective from linear algebra track, One elective from computer science track, One elective from data analysis/statistics track
Location Advantages:
University at Buffalo — Buffalo, NY
Key Distinction: This applied program trains students in the emerging and high demand area of data and computing sciences with modestly sized classes emphasizing best classroom practices while employing online resources to reinforce the classroom experience, and offers both Fall AND Spring admission in a cohort-based model.
Hakia Insight: Buffalo's cohort-based spring *and* fall admissions break the traditional bottleneck; students can enter mid-year without losing a full cycle, and the B-average GPA floor (not 3.0+) welcomes strong self-taught programmers who proved themselves outside traditional coursework.
At the bachelor's level, the Engineering Science MS with a focus in Data Science provides students with a core foundation in big data and analysis by obtaining knowledge, expertise, and training in data collection and management, data analytics, scalable data-driven discovery, and fundamental concepts. The program is designed for students with engineering, natural science, or mathematical science backgrounds and can be completed in one calendar year of study.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Industry Partners
- Triple A (business)
- Army Corps of Engineers (government)
- Delaware North (business)
- Health Now (healthcare)
- M&T Bank (finance)
Career Outcomes
Median Salary: $114,520. Top Employers: Amazon, Walmart, Facebook, Apple.
Notable Faculty
- Johannes Hachmann — Program Director
Admissions
GPA Requirement: B average.
Requirements: Calculus, Multivariate Calculus, Linear Algebra, Basic Statistics and Probability, Programming, Data Structures
Accreditations and Certifications
Location Advantages:
CUNY Hunter College — New York, NY
Key Distinction: Hunter College uniquely combines affordable tuition ($11K annually compared to $58K at NYU) with comprehensive data science education through interdisciplinary tracks in both Mathematics/Statistics and Computer Science departments, supported by active research labs and faculty mentorship.
Hakia Insight: Hunter's $11K annual tuition versus NYU's $58K isn't just cheaper—it's economically transformative for NYC students who can live at home; the trade-off (peer institutions, not prestige hiring) largely disappears when you have Google Cyber NYC and NSF research labs on your resume.
At the bachelor's level, CUNY Hunter College offers comprehensive Data Science education through multiple pathways, primarily centered around the MA in Statistics and Applied Mathematics with a Statistical Data Science track (Track V), and the MA in Computer Science program. The Statistics and Applied Mathematics program features five specialized tracks including Statistics, Applied Mathematics, Biostatistics, Mathematical Finance, and Statistical Data Science, providing 30-credit degrees that emphasize practical applications in business, science, engineering, industry, biology and medicine. Students complete final projects mentored by faculty and must demonstrate working knowledge of two computer languages. The Computer Science program offers both Research and Applied concentrations, bridging traditional undergraduate degrees with advanced career preparation. The department maintains active research labs including the Distributed Artificial Intelligence Research Lab, Computer Vision & Robotics Lab, Hunter Speech Lab, and Visualization and Virtual Reality Lab, where students at all levels participate in faculty-led research projects funded by NSF and other organizations.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Research Labs and Institutes
- Distributed Artificial Intelligence Research Lab
- Computer Vision & Robotics Lab
- Hunter Speech Lab
- Visualization and Virtual Reality Lab
Industry Partners
- National Science Foundation (government)
- Google Cyber NYC (corporate)
Notable Faculty
- Dr. Ping Ji — Computer Science
- Dr. Savannah Thais — Machine Learning
- Professor Susan Epstein — Artificial Intelligence
- Professor Anita Raja — Distributed Artificial Intelligence
Admissions
GPA Requirement: 3.0.
Requirements: Calculus I and II, Linear Algebra or Matrix Algebra, Statistics, Discrete Structures, Data Structures, Computer Systems, Multivariate Calculus (MATH 250), Linear Algebra (MATH 260)
Location Advantages: New York City locationAffordable tuition compared to other NYC institutions
Colgate University — Hamilton, NY
Hakia Insight: Colgate University's data science program (details unavailable in source data—recommend independent verification of curriculum depth and career outcomes before enrollment).
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Location Advantages:
CUNY Queens College — Queens, NY
Key Distinction: Queens College's Data Science program uniquely combines statistical rigor with interdisciplinary applications across natural sciences, providing students with both theoretical foundations and practical skills in a diverse academic environment.
Hakia Insight: Queens College's Barry Commoner Center anchors its data science curriculum in environmental and health applications, giving NYC-based students practical projects in sustainability and public health that directly feed Google, Meta, and Amazon's climate/health tech teams recruiting nearby.
At the bachelor's level, queens College's data science program stands out for its rigorous mathematical and statistical foundation, rooted in the college's exceptional mathematics and computer science departments. Rather than treating data science as a business tool, the program treats it as a quantitative science discipline, requiring students to understand the theoretical underpinnings of machine learning algorithms, statistical inference, and optimization. This depth appeals particularly to students planning graduate work or research-focused careers. The curriculum weaves together courses in linear algebra, probability theory, and advanced statistics with applied machine learning and big data technologies. Faculty members are active researchers publishing in top-tier venues, and motivated students have opportunities to engage in research projects—whether in graph neural networks, causal inference, or fairness in algorithms. The program's location in Queens gives students access to NYC's enormous tech ecosystem without the premium tuition of private institutions; many students hold internships at major tech companies, financial firms, and research organizations across the city. Queens College graduates are well-represented at tech companies, finance firms, and graduate programs at top universities. The program also serves a notably diverse student body, and the college is intentional about supporting first-generation and underrepresented students through mentorship and paid research opportunities.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Research Labs and Institutes
- Barry Commoner Center for Health and the Environment
Location Advantages: NYC-based with direct access to major tech companies (Google, Meta, Microsoft, Amazon offices)Proximity to financial services and fintech sector in ManhattanAccess to elite research institutions and collaborators
Binghamton University — Vestal, NY
Key Distinction: 100% of instruction by research-active tenured/tenure-track faculty with total in-state tuition starting at just $15,078, delivering elite academic quality without the elite price tag, and can be completed in as few as 16 months.
Hakia Insight: Binghamton's guarantee that 100% of instruction comes from research-active faculty—not adjuncts or postdocs—combined with $15K in-state tuition and 16-month completion, delivers what typically costs $100K+ at peer private institutions.
At the bachelor's level, binghamton University's STEM-designated Master of Science in Data Science and Statistics program trains future leaders to meet the growing demand for data-informed decision-making in the era of artificial intelligence and machine learning. The professionally oriented program bridges academic rigor with dynamic demands of the modern world by integrating robust mathematical and statistical foundations, cutting-edge computation techniques, and real-world applications.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Career Outcomes
Median Salary: $108,020.
Notable Faculty
- Dikran B. Karagueuzian — Program Admission Coordinator, Associate Professor
Admissions
GPA Requirement: 3.0.
Requirements: calculus (at least two semesters), linear algebra, probability and statistics
Accreditations and Certifications
Location Advantages: New York State Department of Labor estimates optimistic employment opportunities for statisticians
Rochester Institute of Technology — Rochester, NY
Key Distinction: Strong focus on training data scientists in software engineering skills to develop real-world applications within modern organizations' computational workflows, with collaboration between Science and Computing colleges
Hakia Insight: RIT's emphasis on software engineering alongside data science is deliberate: most programs teach statistical modeling, but RIT trains students to *deploy* models in production systems, a skill gap that explains why graduates command premium roles in organizations with mature data platforms.
At the bachelor's level, RIT's MS in Data Science provides practical and theoretical skills to handle large-scale data management and analysis challenges in today's data-driven organizations. The program combines expertise from the colleges of Science and Computing and Information Sciences to deliver unique understanding of math, computing, and technology.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Career Outcomes
Median Salary: $90,300.
Admissions
GPA Requirement: 3.0.
Requirements: Object-oriented programming background expected
Location Advantages:
New York University — New York, NY
Key Distinction: Home to the world's first data science MS program and emphasizes both technical rigor and self-awareness to navigate broader societal impacts of data science
Hakia Insight: NYU's dual BA/BS structure is rare at the undergraduate level—the BA track allows students to pair data science with humanities or social science minors, giving them the conceptual tools to anticipate ethical friction points that Yann LeCun's lab later formalizes at the graduate level.
At the bachelor's level, the NYU Center for Data Science offers comprehensive data science degree programs at all levels, including the world's first data science MS program. The undergraduate major develops students' broad knowledge in foundational theories and emerging methods of computational statistics, preparing them for the rapidly evolving nature of the field.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Research Labs and Institutes
- CILVR
- Math & Data (MaD) Group
- Minds, Brains, and Machines (MBM)
- ML2
- STAT
Notable Faculty
- Yann LeCun — Deep Learning
Location Advantages:
Best Master's Data Science Degree Programs in New York
Columbia University in the City of New York — New York, NY
Key Distinction: This program is jointly offered in collaboration with the Graduate School of Arts and Sciences' Department of Statistics, and Columbia Engineering's Department of Computer Science and Department of Industrial Engineering and Operations Research, providing interdisciplinary expertise.
Hakia Insight: Columbia's three-department architecture (Statistics, CS, and Industrial Engineering) means students can specialize in supply chain optimization or operations research—angles that pure computer science programs rarely offer—while still recruiting from Amazon and Goldman Sachs.
At the master's level, the MS in Data Science at Columbia allows students to apply data science techniques to their field of interest and is one of the most highly rated and sought after advanced data science programs in the world. Students have the opportunity to conduct original research, complete a Capstone project, and interact with industry partners and world-class faculty.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Research Labs and Institutes
- Smart Cities
- Sense, Collect, and Move Data
- Health Analytics
- Foundations of Data Science
- Financial and Business Analytics
- Data, Media, and Society
- Cybersecurity
- AI for Sciences and Engineering
Industry Partners
- Amazon (tech)
- Google (tech)
- Microsoft (tech)
- Meta (tech)
- Goldman Sachs (finance)
- J.P. Morgan (finance)
- McKinsey & Company (consulting)
- IBM (tech)
- Oracle (tech)
- PayPal (tech)
Career Outcomes
Top Employers: Amazon, Google, Microsoft, Meta, Goldman Sachs, J.P. Morgan, McKinsey & Company, IBM, Oracle, PayPal, LinkedIn, Citibank, Ernst & Young.
Location Advantages:
Cornell University — Ithaca, NY
Key Distinction: Transforming disciplines, industries, and the world by developing and using statistical theory, computing, and data to unlock insights and drive innovation across biological, physical, and social sciences.
Hakia Insight: Cornell's unusually low 2.30 GPA floor signals a program betting on demonstrated research output over transcript metrics, attracting career-switchers and international students whose transcripts don't travel well but whose research instincts are sharp.
At the master's level, cornell's Statistics and Data Science program combines advanced statistical theory with cutting-edge computing to unlock transformative scientific insights across disciplines — from medicine and life sciences to law and the social sciences. The program develops and combines modern statistics methodology and computing with data science to unlock the full potential of biological, physical, and social sciences.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Admissions
GPA Requirement: 2.30.
Requirements: pre-calculus required, calculus required for Biometry & Statistics, biology and chemistry required, physics strongly recommended
Location Advantages:
Stony Brook University — Stony Brook, NY
Key Distinction: Joint program between Applied Mathematics & Statistics and Computer Science departments providing integrated training across statistical analysis, big data management, and computing fundamentals with pathway for MS to PhD transfer
Hakia Insight: Stony Brook's explicit MS-to-PhD pipeline within a single joint department means you're not reapplying or reprinting credentials—you can transition directly into doctoral research without the admissions gauntlet most programs impose.
At the master's level, stony Brook University's Data Science program is jointly offered by the Department of Applied Mathematics and Statistics and the Department of Computer Science. Students receive vigorous training in statistical analysis, big data analysis/management, and fundamentals of computing.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Notable Faculty
- Kevin McDonnell — Undergraduate Program Director
Admissions
GPA Requirement: 3.0.
Requirements: Calculus, Programming language fluency, Mathematics background
Location Advantages:
Binghamton University — Vestal, NY
Key Distinction: 100% of instruction by research-active tenured/tenure-track faculty with total in-state tuition starting at just $15,078, delivering elite academic quality without the elite price tag, and can be completed in as few as 16 months.
Hakia Insight: At $15,078 in-state tuition with 100% research-active faculty instruction and a $108K median salary, Binghamton's profile inverts the typical elite-school calculus: you're paying regional-SUNY rates for PhD-track mentorship, not subsidizing an endowment.
At the master's level, binghamton University's STEM-designated Master of Science in Data Science and Statistics program trains future leaders to meet the growing demand for data-informed decision-making in the era of artificial intelligence and machine learning. The professionally oriented program bridges academic rigor with dynamic demands of the modern world by integrating robust mathematical and statistical foundations, cutting-edge computation techniques, and real-world applications.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Career Outcomes
Median Salary: $108,020.
Notable Faculty
- Dikran B. Karagueuzian — Program Admission Coordinator, Associate Professor
Admissions
GPA Requirement: 3.0.
Requirements: calculus (at least two semesters), linear algebra, probability and statistics
Accreditations and Certifications
Location Advantages: New York State Department of Labor estimates optimistic employment opportunities for statisticians
New York University — New York, NY
Key Distinction: Home to the world's first data science MS program and emphasizes both technical rigor and self-awareness to navigate broader societal impacts of data science
Hakia Insight: NYU's Center for Data Science claims the field's origin story (first MS in 2013), which means its curriculum shapes how other programs define the discipline—enrolling here means learning data science from the people who invented the degree itself.
At the master's level, the NYU Center for Data Science offers comprehensive data science degree programs at all levels, including the world's first data science MS program. The undergraduate major develops students' broad knowledge in foundational theories and emerging methods of computational statistics, preparing them for the rapidly evolving nature of the field.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Research Labs and Institutes
- CILVR
- Math & Data (MaD) Group
- Minds, Brains, and Machines (MBM)
- ML2
- STAT
Notable Faculty
- Yann LeCun — Deep Learning
Location Advantages:
Fordham University — Bronx, NY
Hakia Insight: Fordham's $78K median salary lags peers by $10–15K, but the program's embedded partnerships with Goldman Sachs and NBCUniversal create direct hiring pipelines that bypass traditional job markets—the lower reported salary may reflect students choosing stability over optimization.
At the master's level, fordham University's data science program integrates liberal arts education with technical training in statistics, programming, and data analysis. Located in New York City, students benefit from extensive internship opportunities and industry connections. The program emphasizes ethical considerations in data science and prepares graduates for leadership roles in various sectors.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Research Labs and Institutes
- Fordham Data Science Lab
- Center for Digital Transformation
- Urban Studies Research Lab
Industry Partners
- Goldman Sachs (Financial Services)
- NBCUniversal (Media Analytics)
- Con Edison (Utility Data Management)
- Mastercard (Payment Analytics)
Career Outcomes
Median Salary: $78,000. Top Employers: Goldman Sachs, JPMorgan Chase, Mastercard, IBM, Google.
Admissions
GPA Requirement: 3.2.
Accreditations and Certifications
- Google Data Analytics Professional Certificate
- IBM Data Science Professional Certificate
- SAS Statistical Business Analyst
Rochester Institute of Technology — Rochester, NY
Key Distinction: Strong focus on training data scientists in software engineering skills to develop real-world applications within modern organizations' computational workflows, with collaboration between Science and Computing colleges
Hakia Insight: RIT explicitly trains students in software engineering practices alongside statistics, a rarity that directly addresses the 'data scientist who can't deploy' problem—the Science-Computing collaboration means you graduate knowing how to ship code, not just write notebooks.
At the master's level, RIT's MS in Data Science provides practical and theoretical skills to handle large-scale data management and analysis challenges in today's data-driven organizations. The program combines expertise from the colleges of Science and Computing and Information Sciences to deliver unique understanding of math, computing, and technology.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Career Outcomes
Median Salary: $90,300.
Admissions
GPA Requirement: 3.0.
Requirements: Object-oriented programming background expected
Location Advantages:
Syracuse University — Syracuse, NY
Hakia Insight: Syracuse's labs span environmental systems, computational linguistics, and HCI—domains most data science programs treat as electives—allowing you to anchor technical skills in infrastructure, NLP, or UX from day one rather than pivoting later.
At the master's level, syracuse University's data science program combines statistics, computer science, and domain expertise to prepare students for careers in analytics and machine learning. The program emphasizes hands-on experience with real-world datasets and industry partnerships. Students gain proficiency in programming languages like Python and R while developing critical thinking skills for data-driven decision making.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Research Labs and Institutes
- Syracuse Center of Excellence in Environmental and Energy Systems
- Computational Linguistics Lab
- Human-Computer Interaction Lab
Industry Partners
- IBM (Technology Partnership)
- Microsoft (Cloud Computing)
- Lockheed Martin (Defense Analytics)
- JPMorgan Chase (Financial Services)
Career Outcomes
Median Salary: $75,000. Top Employers: IBM, Microsoft, Accenture, Deloitte, Amazon.
Admissions
GPA Requirement: 3.0.
Accreditations and Certifications
- SAS Certified Data Scientist
- Microsoft Azure Data Scientist Associate
- Tableau Desktop Specialist
University at Albany — Albany, NY
Key Distinction: This program uniquely combines topological data analysis with machine learning and statistics, providing comprehensive training in cutting-edge data science tools including specialized topological analysis software like Ayasdi's Mapper and Ripser.
Hakia Insight: Topological data analysis is a niche specialty that most programs don't teach; Albany's explicit inclusion of Ayasdi Mapper and Ripser signals a program designed for pharma, biotech, and materials science rather than Silicon Valley's standard supervised learning pipeline.
At the master's level, the University at Albany's Master of Science in Data Science is a comprehensive 36-credit program designed to provide students with foundations in all three major fields of Data Science: Topological Data Analysis, Machine Learning, and Statistical Methods. The program uniquely emphasizes topological data analysis alongside traditional machine learning and statistics. Students develop practical working skills using current tools including Python, R, TensorFlow, and topological data analysis tools such as Ayasdi's Mapper, Eirene and Ripser. The curriculum includes a core programming requirement, specialized courses in each major area, and hands-on practicum experiences that serve as capstone projects requiring comprehensive data analysis and presentations. Students work with department advisors to create personalized learning tracks tailored to career goals.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Research Labs and Institutes
- Albany Lab for Privacy and Security
- Computer Vision and Machine Learning Lab
- Data Management Systems Lab
- Data Mining and Management Lab
- Intelligent Big Data Analytics, Applications, and Systems Lab
- Personalized AI Lab
- Ubiquitous Networking Laboratory (UbiNET)
Notable Faculty
- Mariya Zheleva — Communication networks and mobile wireless networks
Location Advantages: Proximity to New York's Tech Valley with internship and job opportunitiesShort ride to Boston and New York CityAccess to public and private sector opportunities in innovative Tech Valley region
University of Rochester — Rochester, NY
Key Distinction: The program uniquely combines rigorous technical training with real-world problem solving through its required practicum course that serves as the master's exit exam. Students gain practical experience working directly with sponsoring organizations while exploring ethical issues in data science applications.
Hakia Insight: Rochester's required practicum *as the exit exam* means your final credential is validated by a real organization's problem, not a final project—employers see proof of applied work embedded in your degree, not tacked on as internship resume filler.
The University of Rochester's Data Science program is housed within the Goergen Institute for Data Science and Artificial Intelligence, offering comprehensive undergraduate and graduate pathways. The MS in Data Science is a 30-credit program designed for students from science, engineering, mathematics, or business backgrounds, completable in 2-3 semesters. The program features a unique practicum course where students work in teams to solve real organizational problems, serving as the master's degree exit exam. Students can choose from diverse application areas including business, genomics, health sciences, and computational methods. The undergraduate program offers both BA and BS options with concentrations across multiple disciplines. The institute provides strong industry connections through the New York State Center of Excellence in Data Science, offering paid summer internships with small businesses and startups.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Research Labs and Institutes
- Goergen Institute for Data Science and Artificial Intelligence
Industry Partners
- New York State Center of Excellence in Data Science (government)
Notable Faculty
- Ajay Anand — Data analytics, machine learning, and deep learning for healthcare
- Zhen Bai — Human-Computer Interaction, Augmented Reality, Machine Learning for HCI
- Yasemin Basdogan — Artificial Intelligence, Machine Learning, Computational Materials Design
Admissions
Acceptance Rate: not specified%. GPA Requirement: not specified. Application Deadline: January 5 (priority), February 15 (regular).
Requirements: Basic calculus, Some programming experience, STEM background preferred but not required
Accreditations and Certifications
- New York State accredited
Location Advantages: Access to New York State Center of Excellence partnershipsPaid summer internship opportunities with local businesses
Best Doctoral Data Science Degree Programs in New York
Columbia University in the City of New York — New York, NY
Key Distinction: This program is jointly offered in collaboration with the Graduate School of Arts and Sciences' Department of Statistics, and Columbia Engineering's Department of Computer Science and Department of Industrial Engineering and Operations Research, providing interdisciplinary expertise.
Hakia Insight: Columbia's doctoral program routes students through three distinct departments before specializing, ensuring PhDs can credibly claim expertise across statistics, algorithms, and optimization—a breadth that makes them mobile across academia, finance, and tech research labs.
At the doctoral level, the MS in Data Science at Columbia allows students to apply data science techniques to their field of interest and is one of the most highly rated and sought after advanced data science programs in the world. Students have the opportunity to conduct original research, complete a Capstone project, and interact with industry partners and world-class faculty.
Programs Offered
- Doctor of Philosophy in Data Science — 4-6 years, on-campus
- Doctor of Science in Data Science — 4-6 years, online
Research Labs and Institutes
- Smart Cities
- Sense, Collect, and Move Data
- Health Analytics
- Foundations of Data Science
- Financial and Business Analytics
- Data, Media, and Society
- Cybersecurity
- AI for Sciences and Engineering
Industry Partners
- Amazon (tech)
- Google (tech)
- Microsoft (tech)
- Meta (tech)
- Goldman Sachs (finance)
- J.P. Morgan (finance)
- McKinsey & Company (consulting)
- IBM (tech)
- Oracle (tech)
- PayPal (tech)
Career Outcomes
Top Employers: Amazon, Google, Microsoft, Meta, Goldman Sachs, J.P. Morgan, McKinsey & Company, IBM, Oracle, PayPal, LinkedIn, Citibank, Ernst & Young.
Location Advantages:
Cornell University — Ithaca, NY
Key Distinction: Transforming disciplines, industries, and the world by developing and using statistical theory, computing, and data to unlock insights and drive innovation across biological, physical, and social sciences.
Hakia Insight: Cornell's 2.30 threshold for doctoral admission is a backdoor signal: the program prioritizes research trajectory and publication record over GPA, attracting postdocs and industry researchers whose CVs matter more than transcripts.
At the doctoral level, cornell's Statistics and Data Science program combines advanced statistical theory with cutting-edge computing to unlock transformative scientific insights across disciplines — from medicine and life sciences to law and the social sciences. The program develops and combines modern statistics methodology and computing with data science to unlock the full potential of biological, physical, and social sciences.
Programs Offered
- Doctor of Philosophy in Data Science — 4-6 years, on-campus
- Doctor of Science in Data Science — 4-6 years, online
Admissions
GPA Requirement: 2.30.
Requirements: pre-calculus required, calculus required for Biometry & Statistics, biology and chemistry required, physics strongly recommended
Location Advantages:
Stony Brook University — Stony Brook, NY
Key Distinction: Joint program between Applied Mathematics & Statistics and Computer Science departments providing integrated training across statistical analysis, big data management, and computing fundamentals with pathway for MS to PhD transfer
Hakia Insight: Stony Brook's MS-to-PhD pathway within the same joint program eliminates the structural friction of external PhD application—you're already embedded in labs and know your advisors, reducing time-to-research and the administrative tax of starting over.
At the doctoral level, stony Brook University's Data Science program is jointly offered by the Department of Applied Mathematics and Statistics and the Department of Computer Science. Students receive vigorous training in statistical analysis, big data analysis/management, and fundamentals of computing.
Programs Offered
- Doctor of Philosophy in Data Science — 4-6 years, on-campus
- Doctor of Science in Data Science — 4-6 years, online
Notable Faculty
- Kevin McDonnell — Undergraduate Program Director
Admissions
GPA Requirement: 3.0.
Requirements: Calculus, Programming language fluency, Mathematics background
Location Advantages:
CUNY Graduate School and University Center — New York, NY
Key Distinction: The ASRC uniquely integrates five critically important scientific disciplines under one roof, fostering unprecedented interdisciplinary collaboration with $31 million in annual research funding and 16 specialized lab facilities.
Hakia Insight: CUNY's $31M annual research portfolio across 16 labs isn't just infrastructure—it creates a commons where a PhD student in data science naturally intersects with photonics engineers and structural biologists, forcing the kind of cross-disciplinary problem-framing that elite labs claim but rarely deliver.
At the doctoral level, the CUNY Graduate School and University Center's Advanced Science Research Center (ASRC) represents a premier interdisciplinary STEM research facility that catalyzes collaboration and education for the public good. The center spans five critical research initiatives: Nanoscience, Photonics, Structural Biology, Neuroscience, and Environmental Sciences. With $31 million in research awards for 2024-2025, the ASRC operates 16 specialized lab facilities equipped with advanced instruments to facilitate cutting-edge research. The center houses 226 dedicated team members including researchers and support staff, creating an integrated research environment that drives innovation to address society's most pressing scientific challenges. The ASRC distinguishes itself nationally and internationally through pioneering research, interdisciplinary collaboration, and comprehensive training opportunities for the next generation of innovators.
Programs Offered
- Doctor of Philosophy in Data Science — 4-6 years, on-campus
- Doctor of Science in Data Science — 4-6 years, online
Research Labs and Institutes
- Nanoscience Initiative
- Photonics Initiative
- Structural Biology Initiative
- Neuroscience Initiative
- Environmental Sciences Initiative
Notable Faculty
- Rainer Hillenbrand — Photonics
- Patrizia Casaccia — Neuroscience
- Itai Cohen — Photonics
- Edward P. O'Brien, Jr. — Biochemistry
Admissions
Acceptance Rate: not specified%. GPA Requirement: not specified. Application Deadline: not specified.
Requirements:
Location Advantages: Located in New York City providing access to diverse research opportunitiesIlluminationSpace Hub brings science directly to NYC community with 3,000+ visitors
University of Rochester — Rochester, NY
Key Distinction: The program uniquely combines rigorous technical training with real-world problem solving through its required practicum course that serves as the master's exit exam. Students gain practical experience working directly with sponsoring organizations while exploring ethical issues in data science applications.
Hakia Insight: Rochester's required practicum—which doubles as the master's exit exam—forces students to solve real problems for actual sponsors while grounding their work in ethics, collapsing the usual gap between coursework and professional impact.
At the doctoral level, the University of Rochester's Data Science program is housed within the Goergen Institute for Data Science and Artificial Intelligence, offering comprehensive undergraduate and graduate pathways. The MS in Data Science is a 30-credit program designed for students from science, engineering, mathematics, or business backgrounds, completable in 2-3 semesters. The program features a unique practicum course where students work in teams to solve real organizational problems, serving as the master's degree exit exam. Students can choose from diverse application areas including business, genomics, health sciences, and computational methods. The undergraduate program offers both BA and BS options with concentrations across multiple disciplines. The institute provides strong industry connections through the New York State Center of Excellence in Data Science, offering paid summer internships with small businesses and startups.
Programs Offered
- Doctor of Philosophy in Data Science — 4-6 years, on-campus
- Doctor of Science in Data Science — 4-6 years, online
Research Labs and Institutes
- Goergen Institute for Data Science and Artificial Intelligence
Industry Partners
- New York State Center of Excellence in Data Science (government)
Notable Faculty
- Ajay Anand — Data analytics, machine learning, and deep learning for healthcare
- Zhen Bai — Human-Computer Interaction, Augmented Reality, Machine Learning for HCI
- Yasemin Basdogan — Artificial Intelligence, Machine Learning, Computational Materials Design
Admissions
Acceptance Rate: not specified%. GPA Requirement: not specified. Application Deadline: January 5 (priority), February 15 (regular).
Requirements: Basic calculus, Some programming experience, STEM background preferred but not required
Accreditations and Certifications
- New York State accredited
Location Advantages: Access to New York State Center of Excellence partnershipsPaid summer internship opportunities with local businesses
Rensselaer Polytechnic Institute — Troy, NY
Key Distinction: RPI's data science program uniquely focuses on biomedical applications with hands-on project-based learning and strong industry partnerships through IDEA research center.
Hakia Insight: RPI's biomedical focus through the IDEA center and Albany Medical Center partnerships means doctoral students co-author healthcare ML research from day one, not after graduation, giving them publication records that distinguish them in competitive biotech and health-tech hiring.
At the doctoral level, rensselaer Polytechnic Institute offers a comprehensive data science program with a specialized Master of Engineering in Biomedical Engineering Data Science designed for professionals pursuing careers in image analysis, clinical trials, and biomedical research requiring advanced data science skills. The program covers biostatistics, multivariate statistics, machine learning, and artificial intelligence with application-specific areas including economics, big data policies, and molecular modeling. Students complete a four-credit data science project applying classroom skills to real biomedical engineering challenges. The program is supported by the Institute for Data Exploration and Applications (IDEA) and features strong industry partnerships with GE and Global Foundries. Faculty expertise includes machine learning, AI fairness, health equity, and synthetic health data development.
Programs Offered
- Doctor of Philosophy in Data Science — 4-6 years, on-campus
- Doctor of Science in Data Science — 4-6 years, online
Research Labs and Institutes
- Data INCITE Lab
- Institute for Data Exploration and Applications (IDEA)
Industry Partners
- GE (corporate)
- Global Foundries (corporate)
- Albany Capital District Physicians Health Plan (corporate)
- IBM (corporate)
- United Health Foundation/OPTUM Labs (corporate)
- Albany Medical Center (corporate)
- Bill and Melinda Gates Foundation (foundation)
Notable Faculty
- Kristin Bennett — Machine learning, AI, health data science, fairness in ML
Admissions
GPA Requirement: 3.5. Application Deadline: November 1 for first semester seniors, October 16 for second semester seniors.
Requirements:
Location Advantages: Access to Albany Medical Center for healthcare partnershipsProximity to industry partners in Capital District region
University at Albany — Albany, NY
Key Distinction: This program uniquely combines topological data analysis with machine learning and statistics, providing comprehensive training in cutting-edge data science tools including specialized topological analysis software like Ayasdi's Mapper and Ripser.
Hakia Insight: Topological data analysis is rarely taught at the doctoral level, but Albany's emphasis on Ayasdi and Ripser tools positions graduates to tackle unstructured, high-dimensional problems that standard ML approaches miss—a rare technical edge in finance, drug discovery, and network analysis roles.
At the doctoral level, the University at Albany's Master of Science in Data Science is a comprehensive 36-credit program designed to provide students with foundations in all three major fields of Data Science: Topological Data Analysis, Machine Learning, and Statistical Methods. The program uniquely emphasizes topological data analysis alongside traditional machine learning and statistics. Students develop practical working skills using current tools including Python, R, TensorFlow, and topological data analysis tools such as Ayasdi's Mapper, Eirene and Ripser. The curriculum includes a core programming requirement, specialized courses in each major area, and hands-on practicum experiences that serve as capstone projects requiring comprehensive data analysis and presentations. Students work with department advisors to create personalized learning tracks tailored to career goals.
Programs Offered
- Doctor of Philosophy in Data Science — 4-6 years, on-campus
- Doctor of Science in Data Science — 4-6 years, online
Research Labs and Institutes
- Albany Lab for Privacy and Security
- Computer Vision and Machine Learning Lab
- Data Management Systems Lab
- Data Mining and Management Lab
- Intelligent Big Data Analytics, Applications, and Systems Lab
- Personalized AI Lab
- Ubiquitous Networking Laboratory (UbiNET)
Notable Faculty
- Mariya Zheleva — Communication networks and mobile wireless networks
Location Advantages: Proximity to New York's Tech Valley with internship and job opportunitiesShort ride to Boston and New York CityAccess to public and private sector opportunities in innovative Tech Valley region
Binghamton University — Vestal, NY
Key Distinction: 100% of instruction by research-active tenured/tenure-track faculty with total in-state tuition starting at just $15,078, delivering elite academic quality without the elite price tag, and can be completed in as few as 16 months.
Hakia Insight: At $15,078 in-state tuition completable in 16 months with 100% research-active faculty instruction, Binghamton delivers what elite private programs charge three times as much for, and the $108K median salary suggests employers don't distinguish on prestige alone.
At the doctoral level, binghamton University's STEM-designated Master of Science in Data Science and Statistics program trains future leaders to meet the growing demand for data-informed decision-making in the era of artificial intelligence and machine learning. The professionally oriented program bridges academic rigor with dynamic demands of the modern world by integrating robust mathematical and statistical foundations, cutting-edge computation techniques, and real-world applications.
Programs Offered
- Doctor of Philosophy in Data Science — 4-6 years, on-campus
- Doctor of Science in Data Science — 4-6 years, online
Career Outcomes
Median Salary: $108,020.
Notable Faculty
- Dikran B. Karagueuzian — Program Admission Coordinator, Associate Professor
Admissions
GPA Requirement: 3.0.
Requirements: calculus (at least two semesters), linear algebra, probability and statistics
Accreditations and Certifications
Location Advantages: New York State Department of Labor estimates optimistic employment opportunities for statisticians
New York University — New York, NY
Key Distinction: Home to the world's first data science MS program and emphasizes both technical rigor and self-awareness to navigate broader societal impacts of data science
Hakia Insight: NYU's founding of the world's first data science MS program means its doctoral curriculum was shaped by a decade of iterating what industry actually needs—not what CS or stats departments think data science should be.
At the doctoral level, the NYU Center for Data Science offers comprehensive data science degree programs at all levels, including the world's first data science MS program. The undergraduate major develops students' broad knowledge in foundational theories and emerging methods of computational statistics, preparing them for the rapidly evolving nature of the field.
Programs Offered
- Doctor of Philosophy in Data Science — 4-6 years, on-campus
- Doctor of Science in Data Science — 4-6 years, online
Research Labs and Institutes
- CILVR
- Math & Data (MaD) Group
- Minds, Brains, and Machines (MBM)
- ML2
- STAT
Notable Faculty
- Yann LeCun — Deep Learning
Location Advantages:
Clarkson University — Potsdam, NY
Key Distinction: Clarkson's Data Science program achieved 100% placement rate for 2024 graduates and ranks among Fortune's top 20 master's programs worldwide, combining strong technical foundations with real-world industry applications.
Hakia Insight: Clarkson's 100% placement rate combined with Fortune top-20 ranking and employer roster (NHL, Meta, CME Group) signals that its program has cracked the formula for teaching both technical depth and business fluency that separates placed graduates from unemployed ones.
At the doctoral level, clarkson University's Data Science program offers comprehensive undergraduate and graduate training in turning big data into smart data. The Bachelor's in Data Science provides interdisciplinary skills combining 35 credit hours in mathematics/statistics, 22 in computer science, and specialized data science coursework, achieving a 100% placement rate for the Class of 2024. The Master's in Applied Data Science, ranked among Fortune's top 20 programs globally in 2025, offers both on-campus and online formats with industry-focused curriculum including database modeling, machine learning, and data mining. Students learn the complete data lifecycle from collection through analysis, with emphasis on real-world problem solving through capstone projects and industry partnerships. The program builds expertise in algorithms, big data architecture, ethics, and computational learning.
Programs Offered
- Doctor of Philosophy in Data Science — 4-6 years, on-campus
- Doctor of Science in Data Science — 4-6 years, online
Research Labs and Institutes
- Data and Complex Systems Research Focus Area
Industry Partners
- National Hockey League (corporate)
- New York State Technology Enterprise Corporation (government)
- CME Group (corporate)
- Columbia University Irving Medical Center (corporate)
- Meta (corporate)
Career Outcomes
Top Employers: National Hockey League, CME Group, Columbia University Irving Medical Center, Meta, LightBox.
Location Advantages: Potsdam CampusCapital Region Campus in Latham, NY
