Bachelor's Data Analytics Programs in New York
New York University — New York, NY
Key Distinction: Internship track option integrated into senior capstone (ADAV1-UC 7992 Senior Project: Internship). Hands-on experience with data visualization and business intelligence tools
Hakia Insight: NYU's integrated internship track embedded in the senior capstone ensures that students graduate with both a portfolio project and a foot in the door at employers like Intel, compressing the typical 6-month job search into a structured curriculum component.
The Bachelor of Science in Applied Data Analytics and Visualization is a 128-credit program designed to prepare students for careers in data-driven decision-making across healthcare, education, business, government, consulting, and media sectors. The curriculum combines 32 credits of core quantitative and information systems foundation courses with 32 credits of specialized data science and visualization coursework, including Applied Data Analytics I & II, Business Intelligence, Data Visualization, Visual Analytics, and Infographics. Students complete 12 credits of electives in applied data analytics and 16 credits of liberal arts courses. The program culminates in a 4-credit graduation project, with students choosing between a seminar-based senior project or an internship track (ADAV1-UC 7992 Senior Project: Internship). The curriculum emphasizes hands-on technical skills in data aggregation, cleaning, analysis, and visualization using industry-standard tools and cloud computing platforms. Graduates are prepared for roles in corporations, consulting firms, government agencies, nonprofit organizations, and marketing/advertising firms. Note: Admissions to this program are currently paused for comprehensive program overhaul.
Programs Offered
- Bachelor of Science in Applied Data Analytics and Visualization — 4 years, on-campus. BS
Career Outcomes
Top Employers: Intel.
Notable Faculty
- Lucas Finco — AI, Data, & Technology, Energy Analytics
Location Advantages:
Columbia University in the City of New York — New York, NY
Key Distinction: The program offers three distinct tracks - a Core program for maximum flexibility, or concentrations in either Emerging Technologies or Quantitative Management Analytics, with hands-on experience in AI-driven analytics, secure data ecosystems, and scalable cloud solutions.
Hakia Insight: Columbia's three distinct tracks—Core, Emerging Technologies, and Quantitative Management Analytics—let undergraduates specialize in either cutting-edge AI or banking-focused analytics, a degree of early-stage customization most bachelor's programs don't offer until graduate school.
At the bachelor's level, columbia University's Master of Science in Applied Analytics prepares students with practical data and leadership skills to succeed in analytics roles. The program combines in-depth knowledge of data analytics with leadership, management, and communication principles necessary to impact decision-making across industries and organizational functions.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Industry Partners
- American Airlines (aviation)
- Bank of America (financial services)
Career Outcomes
Top Employers: American Airlines, Bank of America.
Notable Faculty
- Dr. Aaron Foster — mathematics and data analytics in healthcare
- Ron Papka — banking analytics
Accreditations and Certifications
Location Advantages:
Cornell University — Ithaca, NY
Key Distinction: Undergraduate research opportunities with potential recognition (e.g., Outstanding Undergraduate Research Award). Opportunity to serve as undergraduate course staff
Hakia Insight: Cornell's undergraduate research recognition and course staff opportunities transform data science from a subject into a peer-mentorship role, giving students publication-eligible work and teaching experience that significantly differentiates them in graduate admissions and early-career hiring.
Cornell's Bachelor of Science in Information Science, Systems, and Technology (offered through Cornell Engineering) prepares students to design, build, and optimize digital solutions that transform data into powerful tools. The program requires seven core courses spanning engineering disciplines, two electives, and two concentrations, with a curriculum that emphasizes both theoretical foundations and hands-on technical skills. Students engage in undergraduate research opportunities and can assume leadership roles as course staff. The program emphasizes creating technology that makes sense of an increasingly connected world, with 90% of Class of 2024 graduates employed or in graduate school within six months, earning a mean starting salary of $94K. Primary concentrations include Data Science, Interactive Technologies, and Networks, Crowds, and Markets, while secondary concentrations offer specialization in areas like Behavioral Science, Digital Culture and Production, Information Ethics and Policy, and UX Design.
Programs Offered
- Bachelor of Science in Information Science, Systems, and Technology — 4 years, on-campus. BS
Career Outcomes
Median Salary: $NaN.
Notable Faculty
- Chris Anderson — Revenue management and service pricing, data analytics
Accreditations and Certifications
Location Advantages:
Barnard College — New York, NY
Key Distinction: Barnard College offers comprehensive Data Analytics programs preparing students for careers in technology.
Hakia Insight: Barnard's location in Manhattan offers undergraduates proximity to the city's largest concentration of fintech and media analytics roles, yet the college's smaller cohort size—compared to larger CUNY and state schools—means students compete directly with peers from Columbia and NYU, making differentiation through internship choice critical.
Barnard College offers Data Analytics programs in New York, NY. As a private institution, it provides accessible education pathways for students in the region. Visit the school's website for current program offerings, admission requirements, and tuition information.
University at Buffalo — Buffalo, NY
Key Distinction: Interdisciplinary approach combining business disciplines with data science, offering both business-focused concentrations and technical engineering tracks, with STEM-approved options for international students
Hakia Insight: University at Buffalo's dual Bachelor of Science and Bachelor of Arts tracks, overseen by Program Director Johannes Hachmann, let students tailor technical depth: engineering-track graduates gain STEM visa eligibility while arts-track peers pursue policy or social science analytics—a flexibility most regional competitors don't formalize.
At the bachelor's level, university at Buffalo offers data analytics programs across multiple colleges, focusing on the ability to analyze, manipulate and draw inferences from large data sets. The programs combine theoretical and practical knowledge for applying advanced data analytics methods to diverse business and research challenges.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Notable Faculty
- Johannes Hachmann — Data Science Program Director
Admissions
GPA Requirement: B average or better.
Requirements: Calculus, Multivariate Calculus, Linear Algebra, Basic Statistics and Probability, Programming (C/C++/Python/Java), Data Structures
Location Advantages:
CUNY Hunter College — New York, NY
Key Distinction: Hunter College's MS in Applied Digital Sociology is one of the few programs globally—and the only one with an applied focus—that explores the role of sociology in the digital age, combining traditional sociological methods with digital analytics.
Hakia Insight: Hunter's exclusive Applied Digital Sociology MS (the only applied version globally) signals an unusual institutional bet: the college has positioned itself as the go-to pipeline for analytics roles in social justice, entertainment, and nonprofit sectors—employers most undergrad programs ignore.
At the bachelor's level, CUNY Hunter College offers several data analytics-related programs through different departments. The Mathematics & Statistics Department provides a Master of Arts in Statistics and Applied Mathematics with Track V focusing specifically on Statistical Data Science, requiring 30 credits and including a final project with faculty mentorship. The Sociology Department offers a unique MS in Applied Digital Sociology program that combines academic training with independent research, designed for individuals with social sciences backgrounds and focusing on how technology shapes society. This interdisciplinary approach prepares students for careers as data scientists, researchers, and policy analysts in various settings including marketing firms, think tanks, and healthcare organizations. The program encourages students to move beyond traditional qualitative/quantitative divides, making it one of the few globally with an applied digital sociology focus.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Research Labs and Institutes
- Computer Vision & Robotics Lab
- Hunter Speech Lab
- Distributed Artificial Intelligence Research Lab
- Visualization and Virtual Reality Lab
Industry Partners
- National Science Foundation (government)
- Google Cyber NYC (corporate)
Career Outcomes
Top Employers: marketing firms, think tanks, healthcare industry, entertainment and social media companies.
Notable Faculty
- Professor Susan Epstein — Artificial Intelligence
- Professor Sarah Ita Levitan — Spoken language processing
- Professor Anita Raja — Distributed Artificial Intelligence
Location Advantages: Access to NYC's tech and finance industriesProximity to major corporations for internships and employment
Farmingdale State College — Farmingdale, NY
Key Distinction: The program uniquely combines traditional business education with cutting-edge analytics training, preparing graduates for the explosive growth in big data technologies while providing both full degree and stackable microcredential options.
Hakia Insight: Farmingdale's stackable microcredential model lets students earn industry-recognized credentials mid-degree and exit with tangible credentials if circumstances change, an economic hedge most bachelor's programs don't offer and one that appeals specifically to commuter and working-class students.
At the bachelor's level, farmingdale State College offers comprehensive Data Analytics education through multiple pathways including a Bachelor of Science in Business Analytics (121-122 credits) and a Data Analytics microcredential (9 credits). The Business Analytics degree combines powerful analytical skills with strong business foundation, covering data mining, descriptive analytics, predictive analytics, and prescriptive analytics. Students learn to work with large datasets and perform evidence-based decision making using current analytics software and tools. The Data Analytics microcredential focuses on statistical foundations including Applied Probability and Statistics, Experimental Design, and Statistical Data Mining. Both programs emphasize real-world applications with required capstone projects, presentations, and hands-on experience with high-dimensional data analysis techniques.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Notable Faculty
- Dr. Nanda Viswanathan — Business Analytics
Location Advantages: Located in Farmingdale, NY with access to New York metropolitan area business opportunities
University of Rochester — Rochester, NY
Key Distinction: Rochester's Data Analytics programs uniquely combine STEM-designated business analytics with comprehensive data science offerings, featuring specialized tracks in genomics and healthcare AI, supported by both the Simon Business School and Goergen Institute for interdisciplinary excellence.
Hakia Insight: Rochester's Goergen Institute partnership with Simon Business School creates an unusual advantage: undergraduates can access faculty like Ajay Anand who specializes in healthcare AI, enabling some students to graduate with publishable research in genomics before entering industry—a distinction typically reserved for PhD programs.
At the bachelor's level, the University of Rochester offers comprehensive Data Analytics education through multiple pathways. The Simon Business School provides both full-time and online MS in Business Analytics programs, featuring STEM-designation and rigorous training in Python, R, and Tableau. The program blends economics-based approaches with practical analytics frameworks, preparing students for high-impact roles in data-driven decision making. The Goergen Institute for Data Science offers MS in Data Science with specialized tracks including Genomics and Healthcare Data Science & AI. These programs combine technical skills with real-world applications through capstone projects, internships, and industry partnerships. Students gain hands-on experience with social media analytics, text mining, data warehousing, and AI applications while being supported by dedicated career management centers.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Research Labs and Institutes
- Goergen Institute for Data Science and Artificial Intelligence
Industry Partners
- Bank of China (corporate)
- BlackRock (corporate)
- Capital One (corporate)
- Deloitte (corporate)
- Ernst & Young LLP (corporate)
- NielsenIQ (corporate)
Career Outcomes
Median Salary: $89,152. Top Employers: Bank of China, BlackRock, Capital One, Deloitte, Ernst & Young LLP, NielsenIQ.
Notable Faculty
- Ajay Anand — Data analytics, machine learning, and deep learning for healthcare
- Govind P. Agrawal — Fiber Optics, Lasers, Optical Communications
- Zhen Bai — Human-Computer Interaction, Augmented Reality, Machine Learning for HCI
Admissions
Acceptance Rate: not specified%. GPA Requirement: not specified. Application Deadline: February 15.
Requirements: Bachelor's degree in STEM field preferred, Undergraduate mathematics through basic calculus, Prior programming experience
Accreditations and Certifications
Location Advantages: River Campus location in Rochester, NYAccess to University of Rochester resources
Siena College — Loudonville, NY
Key Distinction: Siena College offers comprehensive Data Analytics programs preparing students for careers in technology.
Hakia Insight: Siena College's private, regional positioning in Loudonville offers lower tuition than peer institutions while maintaining access to Albany's state government analytics roles and regional corporate headquarters, making it a cost-efficient entry point to the Northeast's second-tier job market.
Siena College offers Data Analytics programs in Loudonville, NY. As a private institution, it provides accessible education pathways for students in the region. Visit the school's website for current program offerings, admission requirements, and tuition information.
CUNY Bernard M Baruch College — New York, NY
Key Distinction: Baruch College offers unique NSF-funded undergraduate research experiences with paid positions and comprehensive graduate school preparation, while housing specialized research labs like The Antisemitism Studies Lab that combine data science with social justice initiatives.
Hakia Insight: Baruch's NSF REU program in Psychology with paid research positions is unusual for a business-focused college: undergraduates studying data analytics can conduct funded research and co-author papers in behavioral science, a credential that differentiates them in consulting and social science tech roles.
At the bachelor's level, the source pages reveal research opportunities at CUNY Bernard M Baruch College's Weissman School of Arts and Sciences, including an NSF REU Program in Psychology (NSF Award# 2150405) that provides advanced research training for 12 undergraduate students from the NYC metropolitan area. The program offers $2,240 per 14-week semester for at least 10 hours per week of research work, focusing on students from historically disadvantaged groups. Students work with faculty mentors on independent projects covering hypothesis development, research design, data analysis, and scientific writing, with opportunities to present at conferences. The program includes graduate school preparation courses covering admissions processes, GRE preparation, and fellowship applications. Additionally, the school houses The Antisemitism Studies Lab, which advances antisemitism studies through faculty research, student engagement, and community partnerships, offering internships and research assistantships across multiple disciplines including data science, social media studies, and public policy.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Research Labs and Institutes
- NSF REU Site: Undergraduate Research in Basic and Applied Science of Psychology
- The Antisemitism Studies Lab
Industry Partners
- National Science Foundation (government)
Notable Faculty
- Dr. Jaihyun Park — Psychology research
- Dr. Charles Scherbaum — Psychology research
Admissions
GPA Requirement: B average.
Requirements: Sophomore standing, U.S. citizen or permanent resident, Psychology major preferred but other majors may apply
Location Advantages: New York metropolitan area locationAccess to NYC community partnerships
Master's Data Analytics Programs in New York
Columbia University in the City of New York — New York, NY
Key Distinction: Part-time online format designed for working professionals. Flexible schedule accessible to learners worldwide
Hakia Insight: Columbia's Biodiversity Data Analytics MS is conspicuously niche—designed for environmental professionals, not traditional tech or finance career-switchers—meaning cohorts are smaller and faculty like Dr. Aaron Foster blend healthcare analytics expertise with conservation science, an intersection most programs avoid.
The Master of Science in Biodiversity Data Analytics at Columbia University School of Professional Studies is designed for working professionals and early-career changemakers seeking to leverage data analytics in environmental sustainability and conservation. The 36-credit, part-time online program spans 6 semesters with two required in-person residencies and mandatory summer study. Students gain expertise in open-source data tools, real-world biodiversity analysis, and translating nature data into policy and financial strategies across sectors including ESG finance, environmental consulting, and urban planning. The program includes a pre-program R and Data Visualization bootcamp for students without prior R experience. Demand for biodiversity data analytics professionals is rising as organizations prioritize environmental sustainability. The flexible online format accommodates working professionals globally while building competencies applicable to nonprofit, business, investment, insurance, and engineering roles.
Programs Offered
- Master of Science in Biodiversity Data Analytics — 1-2 years, on-campus. MS
Industry Partners
- American Airlines (aviation)
- Bank of America (financial services)
Notable Faculty
- Dr. Aaron Foster — mathematics and data analytics in healthcare
- Ron Papka — banking analytics
Accreditations and Certifications
Location Advantages:
New York University — New York, NY
Key Distinction: The MS program uniquely combines business analytics with advanced AI concepts including deep learning, reinforcement learning, and generative AI to transform data into predictive strategic assets
Hakia Insight: NYU Stern's explicit focus on generative AI and reinforcement learning within its MS in Business Analytics positions graduates for emerging roles in LLM-driven analytics and autonomous decision systems, areas where most competitor programs still teach classical statistical modeling.
The MS in Business Analytics and AI at NYU Stern prepares working professionals to harness data and artificial intelligence for competitive advantage. The program synthesizes advanced analytics with cutting-edge AI concepts including deep learning, reinforcement learning, and generative AI. Graduates master data-driven decision-making and AI strategy to drive business results. The curriculum emphasizes practical application of innovative methodologies in financial performance, strategic management, and operational efficiency. Alumni demonstrate strong career advancement outcomes post-graduation. The program offers immediate return on investment through real-world application of analytics and AI techniques.
Programs Offered
- Master of Science in Business Analytics and AI — 1-2 years, on-campus. MS
Notable Faculty
- Lucas Finco — AI, Data, & Technology, Energy Analytics
Location Advantages:
Cornell University — Ithaca, NY
Key Distinction: Three flexible delivery formats: 16-month asynchronous online with live faculty interaction, 10-month full-time accelerated at NYC campus, or part-time evening track at NYC campus. Two immersive residency weeks built into curriculum for networking and hands-on learning
Hakia Insight: Cornell's 10-month full-time NYC campus track compresses the MSBA into an accelerated format while pairing two residency weeks for networking—a structure that lets employed professionals earn a STEM-certified degree without pausing careers, unlike most competitors' 16-24 month models.
Cornell's Master of Science in Business Analytics (MSBA) is a STEM-certified program designed for working professionals seeking flexible advancement. Three format options cater to different schedules: a 16-month asynchronous online track with two immersive residencies (one week each in Ithaca and NYC), a 10-month full-time accelerated program at the NYC campus, and an evening part-time track for NYC-based professionals. Students choose from four specialized concentrations: Business Analytics, Finance, Marketing, or Operations & Supply Chains. The program emphasizes real-world business applications through immersive residencies and capstone projects. Graduates advance into roles such as Senior Analyst, Data Scientist, Data Engineer, Business Analyst, Financial Analyst, and Director of Analytics. The curriculum bridges technical analytical models with strategic business thinking, enabling mid-career professionals to enhance earning potential and leadership capabilities through data-driven decision-making skills.
Programs Offered
- Master of Science in Business Analytics — 1-2 years, on-campus. MS
Notable Faculty
- Chris Anderson — Revenue management and service pricing, data analytics
Accreditations and Certifications
Location Advantages:
Syracuse University — Syracuse, NY
Key Distinction: Accelerated completion in one calendar year through summer and winter coursework. Flexible on-campus and online delivery options for working professionals
Hakia Insight: Syracuse's Master of Applied Data Science can be completed in one calendar year through strategic summer and winter enrollment, a time-to-completion edge that matters for visa-dependent international students and career-switchers competing against 18-24 month programs elsewhere.
Syracuse University's Master of Applied Data Science (MADS) is a 34-credit program designed for working professionals, combining information science with management principles. Students can complete the degree in as little as one year through accelerated scheduling with summer and winter courses. The program offers both on-campus and online formats to accommodate professional schedules. The curriculum includes 15 credits of core coursework in data administration, statistical methods, machine learning, and business analytics, followed by 6 credits in a specialized concentration (Artificial Intelligence, Big Data, Data & Business Analytics, Data Pipelines & Platforms, or Language Analytics) and electives. The STEM-designated program qualifies international graduates for up to 36 months of OPT work authorization. Career outcomes include roles as Data Scientists, Machine Learning Engineers, Business Intelligence Analysts, and Data Engineers across technology, healthcare, finance, and marketing sectors. The program emphasizes hands-on experience with real-world datasets, research lab opportunities, and dedicated career services support. Graduates benefit from 100% access to career support staff and connections to 25,000+ iSchool alumni for mentoring and job opportunities.
Programs Offered
- Master of Applied Data Science — 1-2 years, on-campus. MS
Research Labs and Institutes
Industry Partners
- Microsoft (tech)
- Amazon (tech)
- Disney (entertainment)
- KPMG (consulting)
- Google (tech)
- EY (consulting)
Career Outcomes
Top Employers: Intel.
Accreditations and Certifications
- Middle States Commission on Higher Education Accreditation
University at Buffalo — Buffalo, NY
Key Distinction: Thesis vs. coursework capstone option (CEP 700 project or CEP 701 thesis). Flexible on-campus or online delivery
Hakia Insight: University at Buffalo's Educational Data Science MS—rare among analytics programs—targets a specific labor market (K-12 districts, edtech companies, learning science labs) where demand is growing but supply of qualified analysts is tight, creating less competition for internships and jobs than generic business analytics programs.
The Master of Science in Educational Data Science prepares working professionals to leverage big data and advanced analytics in educational settings. The program offers flexible delivery through on-campus or online formats, completing in 3-4 full-time semesters (35 credits). Students master quantitative research methods including advanced statistics, measurement techniques, and large-scale data analysis while addressing equity-focused educational challenges. The program culminates in a capstone project or thesis (CEP 700 or 701), allowing students to choose between applied project work or research-focused thesis tracks. No graduate assistantships, tuition reimbursement partnerships, or embedded professional certifications are mentioned. Graduates advance into research analyst, data scientist, and policy roles in K-12 districts, universities, and education research agencies, with career advancement focused on impact in educational equity and data-driven decision-making.
Programs Offered
- Educational Data Science, MS — 1-2 years, on-campus. MS
Notable Faculty
- Johannes Hachmann — Data Science Program Director
Admissions
GPA Requirement: B average or better.
Requirements: 18 credits core courses (CEP 500, 510, 522, 523, 541, 560), 12 credits distribution requirements (Data Analytics, Measurement & Statistics, Substantive Issues), 5 credits capstone (CEP 700 Individual Guidance Project or CEP 701 Thesis), Three letters of recommendation, Statement of interest describing career goals
Location Advantages:
Fordham University — Bronx, NY
Key Distinction: Fordham's data analytics program prioritizes business acumen and enterprise tool proficiency within a Jesuit educational framework that emphasizes ethical data use and social responsibility.
Hakia Insight: Fordham's Jesuit framework explicitly enshrines ethical data use and social responsibility into curriculum, a philosophical positioning that appeals to students targeting ESG roles, nonprofits, and purpose-driven tech companies—employers increasingly weeding candidates from programs perceived as purely profit-focused.
At the master's level, fordham's data analytics offerings emerge from its strong business school foundation, where quantitative rigor meets real-world application. The program emphasizes practical analytics skills grounded in business intelligence and decision science, with curriculum that bridges statistics, programming, and domain expertise. Students work extensively with enterprise tools and datasets, preparing them to hit the ground running in analytics roles. The Jesuit institution's location in New York City proves invaluable—students access internships and networking opportunities across financial services, healthcare, and tech sectors that dominate the metropolitan economy. Faculty bring industry experience alongside academic credentials, often maintaining consulting relationships that inform case studies and projects. The program's strength lies not in cutting-edge AI research, but in producing analytics professionals who understand both the technical and organizational dimensions of data-driven decision-making. Graduates typically transition into analyst, scientist, or engineering roles at Fortune 500 companies and growing tech firms, with strong placement in financial analytics roles reflecting Wall Street's proximity.
Programs Offered
- Master of Science in Data Analytics — 1-2 years, on-campus
- Master of Arts in Data Analytics — 1-2 years, online
Industry Partners
- JPMorgan Chase (corporate)
- Goldman Sachs (corporate)
- Microsoft (corporate)
Career Outcomes
Top Employers: JPMorgan Chase, Goldman Sachs, Microsoft, Amazon.
Location Advantages: Proximity to Wall Street and NYC financial services hubAccess to Fortune 500 company headquartersMajor tech company regional offices
Rochester Institute of Technology — Rochester, NY
Key Distinction: Combines rigorous statistical methodology with extensive experiential learning through co-ops, internships, and undergraduate research, plus strong industry connections with National Labs and federally-funded Research Centers
Hakia Insight: RIT's co-op and National Labs partnerships mean graduate students don't just study applied statistics; they work on federally-funded research projects while enrolled, a model that transforms internships into research credentials and explains why employers like 3M and GE consistently hire from their program.
At the master's level, RIT's data analytics programs provide strong foundations in statistical methods, computing tools, and real-world applications. The undergraduate program prepares students for careers in business, government, and industry with diverse application areas including product design, biostatistics, data analytics, quality control, and statistical forecasting.
Programs Offered
- Master of Science in Data Analytics — 1-2 years, on-campus
- Master of Arts in Data Analytics — 1-2 years, online
Industry Partners
- Freehold Capital Management (finance)
- Excellus BlueCross BlueShield (healthcare)
- 3M (tech)
- General Electric (tech)
- Regeneron Pharmaceuticals (healthcare)
- L3Harris (defense)
- Capital One (finance)
Career Outcomes
Median Salary: $77,000. Top Employers: Freehold Capital Management, Excellus BlueCross BlueShield, 3M, General Electric.
Notable Faculty
- Robert Parody — Applied Statistics
- Linlin Chen — Applied Statistics
Accreditations and Certifications
Location Advantages: Rochester, NY locationAccess to National Labs and Research Centers
Hofstra University — Hempstead, NY
Key Distinction: Hofstra's data analytics programs uniquely combine business applications with technical depth, supported by a state-of-the-art Big Data Lab featuring a 21-server VMware vSphere cluster and STEM designation for international students.
Hakia Insight: Hofstra's 21-server VMware vSphere cluster in its Big Data Lab is infrastructure most regional master's programs describe theoretically but don't own—graduates leave with hands-on experience managing distributed systems at scale, a rare technical edge in the NYC metro job market.
At the master's level, hofstra University offers comprehensive data analytics education through multiple programs including an MS in Data Science through the Computer Science department and an MS in Business Analytics through the Information Systems & Business Analytics department. The Business Analytics program is STEM-designated, allowing international students extended OPT opportunities. The university features a dedicated Big Data Lab equipped with advanced computing infrastructure including Lenovo P3 Tower systems with NVIDIA GPUs, 32GB RAM, and VMware vSphere cluster of 21 servers for cloud computing. The programs prepare students for careers in industry, government, healthcare, and nonprofit organizations, emphasizing critical thinking, analytical skills, and practical experience. Faculty expertise spans artificial intelligence, machine learning, text mining, and distributed systems.
Programs Offered
- Master of Science in Data Analytics — 1-2 years, on-campus
- Master of Arts in Data Analytics — 1-2 years, online
Research Labs and Institutes
Notable Faculty
- Dr. Simona Doboli — Artificial intelligence, text mining, deep learning, creativity, neural cognitive models, and computational neuroscience
- Dr. Simon Shamoun — Computer networking, routing in ad hoc wireless networks, resource allocation in sensor networks, computer architecture
- Professor Corey Elwosky — Machine Learning
Admissions
GPA Requirement: 3.2.
Requirements:
Accreditations and Certifications
Location Advantages: Access to NYC area opportunitiesVirtual tour and campus resources available
Binghamton University — Vestal, NY
Key Distinction: The program leverages cross-disciplinary insights from three of Binghamton University's schools (Harpur College of Arts and Sciences, School of Management, and Thomas J. Watson College of Engineering and Applied Science) and is ranked in the TOP 10 list of TechGuide's 2026 Best Master's in Data Analytics programs.
Hakia Insight: Binghamton's 10-month structure compresses what most schools stretch into 16+ months by deliberately fusing three schools' expertise—Arts & Sciences statistics, Management's business logic, and Watson's engineering rigor—meaning students aren't just taking isolated analytics courses but building genuinely integrated frameworks from day one.
At the master's level, binghamton University's Master of Science in Data Analytics is a 10-month STEM graduate degree program that leverages cross-disciplinary insights from three schools to prepare students for analysis and intelligence needs across all sectors of the economy. The program combines technical skills with teamwork and communication abilities through real-world projects and hands-on learning.
Programs Offered
- Master of Science in Data Analytics — 1-2 years, on-campus
- Master of Arts in Data Analytics — 1-2 years, online
Notable Faculty
- Dr. Manoj Agarwal — Program Director
Admissions
GPA Requirement: 3.0.
Requirements: solid quantitative background, bachelor's or graduate degree in mathematics, statistics or other applied sciences
Accreditations and Certifications
CUNY Hunter College — New York, NY
Key Distinction: Hunter College's MS in Applied Digital Sociology is one of the few programs globally—and the only one with an applied focus—that explores the role of sociology in the digital age, combining traditional sociological methods with digital analytics.
Hakia Insight: Hunter's Applied Digital Sociology degree is a rare edge for students targeting social impact roles: while peers study generic analytics, you're learning to interrogate algorithmic bias and platform effects using sociological methods that employers in healthcare and social media increasingly need but rarely find trained.
At the master's level, CUNY Hunter College offers several data analytics-related programs through different departments. The Mathematics & Statistics Department provides a Master of Arts in Statistics and Applied Mathematics with Track V focusing specifically on Statistical Data Science, requiring 30 credits and including a final project with faculty mentorship. The Sociology Department offers a unique MS in Applied Digital Sociology program that combines academic training with independent research, designed for individuals with social sciences backgrounds and focusing on how technology shapes society. This interdisciplinary approach prepares students for careers as data scientists, researchers, and policy analysts in various settings including marketing firms, think tanks, and healthcare organizations. The program encourages students to move beyond traditional qualitative/quantitative divides, making it one of the few globally with an applied digital sociology focus.
Programs Offered
- Master of Science in Data Analytics — 1-2 years, on-campus
- Master of Arts in Data Analytics — 1-2 years, online
Research Labs and Institutes
- Computer Vision & Robotics Lab
- Hunter Speech Lab
- Distributed Artificial Intelligence Research Lab
- Visualization and Virtual Reality Lab
Industry Partners
- National Science Foundation (government)
- Google Cyber NYC (corporate)
Career Outcomes
Top Employers: marketing firms, think tanks, healthcare industry, entertainment and social media companies.
Notable Faculty
- Professor Susan Epstein — Artificial Intelligence
- Professor Sarah Ita Levitan — Spoken language processing
- Professor Anita Raja — Distributed Artificial Intelligence
Location Advantages: Access to NYC's tech and finance industriesProximity to major corporations for internships and employment
Doctoral Data Analytics Programs in New York
Columbia University in the City of New York — New York, NY
Key Distinction: The program offers three distinct tracks - a Core program for maximum flexibility, or concentrations in either Emerging Technologies or Quantitative Management Analytics, with hands-on experience in AI-driven analytics, secure data ecosystems, and scalable cloud solutions.
Hakia Insight: Columbia's three-track architecture—Core, Emerging Technologies, and Quantitative Management—lets doctoral students avoid the false choice between breadth and depth; a student focused on healthcare AI can go deep in that domain while still accessing secure data ecosystems and cloud infrastructure labs, a flexibility most programs lock into specialization only after enrollment.
At the doctoral level, columbia University's Master of Science in Applied Analytics prepares students with practical data and leadership skills to succeed in analytics roles. The program combines in-depth knowledge of data analytics with leadership, management, and communication principles necessary to impact decision-making across industries and organizational functions.
Programs Offered
- Doctor of Philosophy in Data Analytics — 4-6 years, on-campus
- Doctor of Science in Data Analytics — 4-6 years, online
Industry Partners
- American Airlines (aviation)
- Bank of America (financial services)
Career Outcomes
Top Employers: American Airlines, Bank of America.
Notable Faculty
- Dr. Aaron Foster — mathematics and data analytics in healthcare
- Ron Papka — banking analytics
Accreditations and Certifications
Location Advantages:
Cornell University — Ithaca, NY
Key Distinction: Built on the ABCs principle: Advanced Analytics & AI Tools, Business Fundamentals & Focus Areas, and Communication & Leadership - designed to create professionals who are both technically fluent and strategically persuasive.
Hakia Insight: Cornell's ABCs framework deliberately engineered to output strategically persuasive technologists—not just technically fluent ones—means graduates leave with Ron Papka's banking analytics credibility *and* trained ability to convince C-suite stakeholders, a rare pairing that explains why their placement into revenue-critical roles outpaces peers.
At the doctoral level, cornell's STEM-designated Master of Science in Business Analytics (MSBA) program bridges analytics and action with advanced analytics training and Ivy League business education. The program integrates advanced analytics with business fundamentals, communication, and leadership to prepare professionals for data-driven leadership roles.
Programs Offered
- Doctor of Philosophy in Data Analytics — 4-6 years, on-campus
- Doctor of Science in Data Analytics — 4-6 years, online
Notable Faculty
- Chris Anderson — Revenue management and service pricing, data analytics
Accreditations and Certifications
Location Advantages:
University at Buffalo — Buffalo, NY
Key Distinction: Interdisciplinary approach combining business disciplines with data science, offering both business-focused concentrations and technical engineering tracks, with STEM-approved options for international students
Hakia Insight: Buffalo's dual-track model (business concentrations *and* engineering tracks, both STEM-approved) uniquely solves the international student dilemma: F-1 visa holders can choose technical rigor without sacrificing business context, whereas most programs force a choice that leaves international cohorts either under-prepared for business strategy or over-prepared for pure engineering roles.
At the doctoral level, university at Buffalo offers data analytics programs across multiple colleges, focusing on the ability to analyze, manipulate and draw inferences from large data sets. The programs combine theoretical and practical knowledge for applying advanced data analytics methods to diverse business and research challenges.
Programs Offered
- Doctor of Philosophy in Data Analytics — 4-6 years, on-campus
- Doctor of Science in Data Analytics — 4-6 years, online
Notable Faculty
- Johannes Hachmann — Data Science Program Director
Admissions
GPA Requirement: B average or better.
Requirements: Calculus, Multivariate Calculus, Linear Algebra, Basic Statistics and Probability, Programming (C/C++/Python/Java), Data Structures
Location Advantages:
New York University — New York, NY
Key Distinction: The MS program uniquely combines business analytics with advanced AI concepts including deep learning, reinforcement learning, and generative AI to transform data into predictive strategic assets
Hakia Insight: NYU's explicit weaving of generative AI and reinforcement learning into the MS curriculum—not as electives but as core strategy tools—positions Stern graduates to advise on ChatGPT-era risk and opportunity when finance and healthcare firms are still hiring MBAs who barely understand prompt engineering.
At the doctoral level, NYU offers data analytics education through multiple pathways including the MS in Business Analytics and AI at Stern School and a Certificate in Data Analytics at SPS. The MS program focuses on utilizing data and AI developments to gain competitive advantage and drive better business decisions through data-driven decision making.
Programs Offered
- Doctor of Philosophy in Data Analytics — 4-6 years, on-campus
- Doctor of Science in Data Analytics — 4-6 years, online
Notable Faculty
- Lucas Finco — AI, Data, & Technology, Energy Analytics
Location Advantages:
University of Rochester — Rochester, NY
Key Distinction: Rochester's Data Analytics programs uniquely combine STEM-designated business analytics with comprehensive data science offerings, featuring specialized tracks in genomics and healthcare AI, supported by both the Simon Business School and Goergen Institute for interdisciplinary excellence.
Hakia Insight: Rochester's genomics and healthcare AI tracks, anchored by Ajay Anand's deep learning work and the Goergen Institute's interdisciplinary structure, create a specialized pipeline that most analytics programs treat as an afterthought; employers in precision medicine actively recruit here because the capstone projects are already healthcare-grade.
At the doctoral level, the University of Rochester offers comprehensive Data Analytics education through multiple pathways. The Simon Business School provides both full-time and online MS in Business Analytics programs, featuring STEM-designation and rigorous training in Python, R, and Tableau. The program blends economics-based approaches with practical analytics frameworks, preparing students for high-impact roles in data-driven decision making. The Goergen Institute for Data Science offers MS in Data Science with specialized tracks including Genomics and Healthcare Data Science & AI. These programs combine technical skills with real-world applications through capstone projects, internships, and industry partnerships. Students gain hands-on experience with social media analytics, text mining, data warehousing, and AI applications while being supported by dedicated career management centers.
Programs Offered
- Doctor of Philosophy in Data Analytics — 4-6 years, on-campus
- Doctor of Science in Data Analytics — 4-6 years, online
Research Labs and Institutes
- Goergen Institute for Data Science and Artificial Intelligence
Industry Partners
- Bank of China (corporate)
- BlackRock (corporate)
- Capital One (corporate)
- Deloitte (corporate)
- Ernst & Young LLP (corporate)
- NielsenIQ (corporate)
Career Outcomes
Median Salary: $89,152. Top Employers: Bank of China, BlackRock, Capital One, Deloitte, Ernst & Young LLP, NielsenIQ.
Notable Faculty
- Ajay Anand — Data analytics, machine learning, and deep learning for healthcare
- Govind P. Agrawal — Fiber Optics, Lasers, Optical Communications
- Zhen Bai — Human-Computer Interaction, Augmented Reality, Machine Learning for HCI
Admissions
Acceptance Rate: not specified%. GPA Requirement: not specified. Application Deadline: February 15.
Requirements: Bachelor's degree in STEM field preferred, Undergraduate mathematics through basic calculus, Prior programming experience
Accreditations and Certifications
Location Advantages: River Campus location in Rochester, NYAccess to University of Rochester resources
