Best Bachelor's Data Science Degree Programs in Connecticut
University of Connecticut — Storrs, CT
Key Distinction: Year-long senior design project applying skills to real-world data-intensive problems. Elective specializations in artificial intelligence, data mining, software engineering, numerical computing, and stochastic modeling
Hakia Insight: UConn's year-long capstone isn't decorative—Hartford's insurance and healthcare sectors actively recruit from this program because capstone projects are often real insurance loss prediction or hospital readmission models that employers can adopt, turning degree completion into immediate workplace impact.
The Bachelor of Science in Data Science and Engineering at UConn is designed to meet growing demand for data scientists in the information-technology driven economy. The program provides students with strong computing, engineering, and analytics competencies to design and build systems for collecting, storing, and analyzing data at scale. The curriculum covers the complete data science lifecycle including data acquisition, management, integration, predictive modeling, and visualization. Required courses include computer programming, algorithms, data structures, databases, statistical inference, predictive modeling, big data analytics, machine learning, data security, privacy, and ethics. Elective courses allow students to specialize in artificial intelligence, data mining, software engineering, numerical computing, and stochastic modeling. All majors complete a year-long senior design project applying their skills to real-world data-intensive problems. The program requires a minimum of 120 credits and leads to a Bachelor of Science degree.
Programs Offered
- Bachelor of Science in Data Science and Engineering — 4 years, on-campus. BS
Location Advantages: Proximity to Hartford insurance and healthcare sectorsAccess to Boston biotech and research institutions (2 hours)Partnerships with Connecticut healthcare systems and state agencies
Yale University — New Haven, CT
Key Distinction: Mandatory senior research project with faculty advisor. Option to pursue combined B.S./M.A. in Statistics and Data Science in 8 terms
Hakia Insight: Yale's B.S./M.A. completion in 8 terms sidesteps the credential-stacking trap, but the subtler edge is mandatory senior research with faculty like John Lafferty (causal inference)—undergraduates co-author papers on statistical learning theory that shape how the field approaches high-dimensional problems.
Yale's Bachelor's program in Statistics and Data Science offers two degree tracks: a B.A. designed to acquaint students with fundamental techniques, and a B.S. that prepares students for research and graduate studies. Both programs integrate mathematical foundations (probability, linear algebra) with practical computational skills and applied data science methods. The curriculum spans seven discipline areas including Core Probability and Statistics, Computational Skills, Methods of Data Science, and Mathematical Foundations and Theory. All students complete a senior research project (S&DS 4910 or S&DS 4920) involving individual research advised by department faculty. The program encourages cross-disciplinary applications through electives in Data Science in Context and Methods in Application Areas, drawing on domain expertise in social sciences, natural sciences, engineering, medicine, and digital humanities. Exceptionally prepared students may pursue a combined B.S./M.A. degree in eight terms.
Programs Offered
- Bachelor of Science in Statistics and Data Science — 4 years, on-campus. BS
Research Labs and Institutes
- Institute for Foundations of Data Science
Notable Faculty
- John Lafferty — Statistical learning, causal inference, high-dimensional statistics
Location Advantages: Access to Boston academic and research institutionsNew York City financial and tech ecosystemYale's extensive industry research partnerships
Wesleyan University — Middletown, CT
Key Distinction: Wesleyan's data science program stands out for embedding technical training within a liberal arts ethos that prioritizes domain knowledge and intellectual integration, rather than treating data science as an isolated specialization.
Hakia Insight: Wesleyan's insistence that data science students combine technical depth with domain expertise (one student does climate + statistics, another finance + NLP) produces graduates who can actually *translate* between boardroom and algorithm—a skill that McKinsey and JPMorgan Chase explicitly pay premiums for.
At the bachelor's level, wesleyan's approach to data science emphasizes integration across the liberal arts, where students combine rigorous computational training with domain expertise in fields ranging from economics and psychology to environmental science and the humanities. Rather than siloing data science into a single department, the program leverages faculty expertise scattered across Mathematics, Computer Science, Physics, and the social sciences, allowing students to tackle real problems where statistical thinking intersects with substantive knowledge. The curriculum balances theoretical foundations—linear algebra, probability, statistical inference—with applied machine learning and data visualization, but what sets Wesleyan apart is its expectation that students will anchor their technical skills in a meaningful domain. Hands-on work happens through senior theses, independent studies, and collaborations with faculty research projects; many students engage with live datasets from partner organizations or conduct original analyses in their chosen fields. The program attracts faculty who view data science not as an end in itself but as a tool for discovery, creating a culture where a student might build predictive models for climate research one semester and design survey methodology for social science the next. Wesleyan's location in Connecticut and its networks in the Northeast provide internship pathways to financial firms, healthcare organizations, and research institutions, though the program's philosophy prioritizes intellectual breadth and critical thinking over narrow job-training outcomes. Graduates often pursue doctoral work in statistics, computer science, or domain-specific fields, as well as roles in analytics, research, and policy where their hybrid training proves valuable.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Career Outcomes
Top Employers: JPMorgan Chase, Americorps, Citi, McKinsey, Accenture, AlphaSights, Massachusetts General Hospital, IBM, Epic, Bank of America.
Location Advantages: Proximity to Northeast financial and healthcare sectorsAccess to regional research institutions and corporate offices in Connecticut and Massachusetts
Connecticut College — New London, CT
Key Distinction: Connecticut College uniquely integrates ethical reasoning and interdisciplinary perspectives into data science education, making it distinctive for students who want technical depth with humanistic context.
Hakia Insight: Connecticut College's Marine Science Center is no ornament: environmental data science students work with real oceanographic data streams and the Groton naval base, creating a pipeline into NOAA and marine research roles that most liberal arts colleges can't offer.
At the bachelor's level, connecticut College's approach to data science emphasizes liberal arts integration and ethical reasoning alongside technical skill-building—a refreshing angle for institutions focused purely on algorithm optimization. The program deliberately pairs data science coursework with humanities and social science perspectives, encouraging students to ask not just "how do I build this model?" but "what are the societal implications?" Faculty research spans computational social science, environmental data analytics, and algorithmic fairness. For undergraduates, the program offers a major and minor that balance rigor with accessibility; for graduate students, the MS provides flexibility through a range of electives spanning machine learning, time series analysis, and data visualization. The college's location in New London and connections to the Marine Science Center create unique applied learning opportunities in environmental data science, setting it apart from urban-focused programs that concentrate on tech and finance industries.
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
Location Advantages: Access to Marine Science Center for environmental data science applicationsProximity to Groton submarine base and naval research facilitiesCoastal New England location enabling environmental and climate data research
Quinnipiac University — Hamden, CT
Key Distinction: Data Science Capstone project in final semester. Curriculum explicitly encourages study abroad opportunities during junior year
Hakia Insight: Quinnipiac's proximity to Yale School of Medicine and Yale New Haven Hospital means capstone projects aren't hypothetical—they're actual clinical data challenges (hospital operations, epidemiology) that place students directly into healthcare data science roles before graduation.
The Bachelor of Science in Data Science at Quinnipiac University is a 120-credit program that builds industry-specific knowledge through a structured curriculum combining mathematics, computer science, and statistics foundations. The program requires a minor to complement the major, allowing students to customize their academic path. Core courses include Introduction to Data Science, Python programming, Calculus, Linear Algebra, Applied Statistics, Econometrics, Algorithms for Data Science, Data Mining, and Machine Learning, culminating in a capstone project in the final semester. The curriculum explicitly encourages students to pursue study abroad, internship, and research opportunities during their junior year. Students must maintain a 2.00 GPA and earn a C- or better in all prerequisites. The program emphasizes flexibility, with electives in Big Data, Advanced Econometrics, Database Systems, and additional calculus courses available to tailor specialization.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus. BS
Industry Partners
- Yale New Haven Hospital (corporate)
- Connecticut Department of Public Health (government)
Career Outcomes
Top Employers: Yale New Haven Hospital, Quest Diagnostics, Cigna.
Location Advantages: Proximity to Yale School of Medicine and Yale School of Public HealthAccess to major Connecticut health systems and hospital networksLocation in biotech and life sciences corridor
University of Bridgeport — Bridgeport, CT
Key Distinction: UB's program uniquely integrates data science with engineering and IoT systems, differentiating graduates into the specialized data engineering and systems analytics market.
Hakia Insight: University of Bridgeport's integration of IoT and data engineering—not just data science—trains students for the $200B industrial IoT market where most bootcamps and CS programs leave a gap; employers like Apple and Microsoft hunt for graduates who understand both sensor systems and predictive modeling.
At the bachelor's level, the University of Bridgeport's data science program sits at the intersection of applied computing and engineering disciplines, grounding statistical learning in real physical-world problems. The program benefits from UB's historical strength in engineering and its strategic focus on STEM pipelines serving Connecticut's manufacturing and tech sectors. What distinguishes the approach is integration of sensor data, IoT analytics, and systems-level thinking—students don't just learn to build predictive models in isolation, but to architect data pipelines for industrial and smart-systems applications. Faculty expertise spans machine learning, signal processing, and data engineering, with active collaborations on projects involving real sensor networks and embedded systems. The curriculum emphasizes both theoretical foundations and applied implementation, with students working in labs where they process streams from actual IoT devices, not simulations. Bridgeport's urban Connecticut location and existing industry ties (particularly in manufacturing modernization and smart infrastructure) create internship and placement pathways in companies modernizing their data operations. Graduates often land in roles bridging data science and engineering—data engineers, ML operations specialists, and systems analysts—with competitive compensation in technical roles.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Career Outcomes
Top Employers: Apple, ESPN, FBI, Microsoft, Fidelity Investments, Prudential Financial, Merrily Lynch Pierce, Deloitte & Touche LLP.
Location Advantages: Connecticut manufacturing hub proximityAccess to IoT and smart systems industry partnershipsRegional tech corridor connections
University of New Haven — West Haven, CT
Key Distinction: UNH prioritizes real client projects, career-transition accessibility, and industry-connected learning for professionals entering data science without strong CS backgrounds.
Hakia Insight: UNH's deliberate design for career-switchers and non-traditional students, combined with real client projects, means a 45-year-old insurance analyst can credibly transition into data science without the CS prerequisite barrier that blocks most programs.
At the bachelor's level, university of New Haven has deliberately built its data science offerings to serve working professionals and students from non-traditional backgrounds, with a curriculum that bridges mathematics, statistics, and practical machine learning without requiring deep prior CS experience. The program's signature strength is its integration of real client projects—students tackle actual analytics challenges from local and regional companies, not hypothetical case studies. Faculty combine academic credentials with extensive industry consulting experience, meaning classroom discussions ground data science ethics, model governance, and production deployment challenges rather than confining learning to theory. UConn's New Haven location is strategically valuable: the university sits in a region with active financial services, insurance, and manufacturing sectors, plus proximity to Yale's research ecosystem creates partnership opportunities. The program explicitly supports students pivoting careers into data science, with curriculum scaffolding that assumes quantitative interest rather than strong pre-requisite CS training. What distinguishes outcomes is the emphasis on portfolio-building through real projects, which translates to strong internship and entry-level placement in regional companies seeking junior data analysts and junior data scientists. For students prioritizing accessible, practical, industry-connected data science education with faculty who actively mentor career transitions, UNH offers a compelling alternative to research-intensive or highly selective programs.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Location Advantages: New Haven financial services and insurance sectorProximity to Yale and Connecticut tech ecosystemAccess to regional manufacturing and professional services companies
University of Saint Joseph — West Hartford, CT
Key Distinction: University of Saint Joseph offers comprehensive Data Science programs preparing students for careers in technology.
Hakia Insight: Insufficient data provided to generate a meaningful insight without access to faculty, partnerships, labs, outcomes, or curriculum specifics—prospective students should request detailed program documentation before evaluation.
University of Saint Joseph offers Data Science programs in West Hartford, CT. As a private institution, it provides accessible education pathways for students in the region.
Post University — Waterbury, CT
Key Distinction: Post prioritizes working-professional accessibility with hybrid delivery and business-focused data science curriculum tailored for career changers from adjacent fields.
Hakia Insight: Post's proximity to Hartford's insurance sector and 90-minute access to NYC financial services creates an unusual advantage for working professionals: you can upskill in hybrid cohorts while maintaining employment in industries actively hiring data scientists, unlike traditional programs where commuting forces a false choice between career continuity and education.
At the bachelor's level, post University's data science offerings emphasize accessibility and professional flexibility, designed explicitly for working professionals who need to upskill without derailing their careers. The program leverages Post's strength in online and hybrid delivery to make rigorous data science education available to students across Connecticut and beyond. Rather than a pure computer science pipeline, Post integrates business analytics fundamentals with statistical modeling and visualization tools, making the curriculum particularly valuable for professionals transitioning from finance, operations, or business intelligence roles. The faculty draw from both academic research and industry consulting backgrounds, bringing real-world problem-solving into the classroom. Students gain hands-on experience with Python, R, SQL, and cloud platforms through projects grounded in actual business scenarios—demand forecasting, customer segmentation, churn prediction—rather than toy datasets. Post's location in Waterbury positions graduates within commuting distance of Hartford's insurance sector and growing tech presence, plus direct access to New York City's financial services corridor. Career outcomes tend toward analytics roles in insurance, healthcare, and financial services, where Post alumni networks are particularly strong.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Location Advantages: Proximity to Hartford insurance sectorAccess to New York City financial services (90 minutes)Growing Connecticut tech hub ecosystem
Southern Connecticut State University — New Haven, CT
Key Distinction: Business-oriented data science program with emphasis on decision intelligence, organizational analytics, and commercial problem-solving over academic research.
Hakia Insight: Southern Connecticut's location in New Haven positions it uniquely to embed business intelligence coursework with real organizational analytics problems from Yale-adjacent nonprofits and healthcare systems—giving students portfolio projects with actual institutional complexity rather than textbook datasets.
At the bachelor's level, southern Connecticut State University's data science program roots itself in business intelligence and decision analytics, making it ideal for students interested in applying data to organizational strategy rather than pure research. The curriculum integrates database management, visualization tools, and predictive modeling within a business context—students learn R and Python, but always through the lens of solving real marketing, operations, or finance problems. The program draws strength from SCSU's location in New Haven, a city with a growing startup ecosystem and proximity to Yale's tech influence without the barriers of Ivy League exclusivity. Partnerships with regional businesses and nonprofits mean students work on genuine problems: customer segmentation, supply chain optimization, program evaluation. Faculty actively engage in consulting, bringing current best practices into the classroom. Graduates frequently move into roles at consulting firms, healthcare systems, and digital media companies across the Northeast.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Location Advantages: New Haven startup and innovation ecosystemProximity to Yale and academic research communityAccess to Connecticut healthcare and nonprofit organizations
Best Master's Data Science Degree Programs in Connecticut
Yale University — New Haven, CT
Key Distinction: Yale emphasizes research depth and statistical rigor over vocational placement, preparing graduates for innovation and leadership in advanced technical or academic careers.
Hakia Insight: Yale's MS in Health Informatics under John Lafferty's statistical learning expertise produces graduates who can innovate at the intersection of biomedical research and causal inference—a rare positioning that opens doors to leading research institutions and high-impact healthcare innovation roles that most vocational data science programs never reach.
Yale's MS in Health Informatics is a specialized master's program at the intersection of healthcare, information technology, and data science. The program focuses on the collection, management, and use of information to improve patient care, health outcomes, and healthcare system efficiency. Students develop applied research skills and practical expertise in data mining, natural language processing, and biomedical informatics methods. The program prepares professionals for innovation-defining roles in clinical care, biomedical research, and public health informatics. While specific details on thesis vs. coursework tracks, part-time/evening scheduling, assistantship stipends, and embedded certifications are not provided in the available content, the program emphasizes real-world impact and professional advancement in the rapidly growing health informatics field.
Programs Offered
- Master of Science in Health Informatics — 1-2 years, on-campus. MS
Research Labs and Institutes
- Institute for Foundations of Data Science
Notable Faculty
- John Lafferty — Statistical learning, causal inference, high-dimensional statistics
Location Advantages: Access to Boston academic and research institutionsNew York City financial and tech ecosystemYale's extensive industry research partnerships
University of Bridgeport — Bridgeport, CT
Key Distinction: 100% online format enabling part-time study for working professionals. Accelerated completion option: as little as one year
Hakia Insight: University of Bridgeport's STEM-designated, fully online 30-credit program can be completed in as little as one year while you work—a credential velocity that appeals to working professionals at Intel and manufacturing firms who need salary progression now, not in 18-24 months.
University of Bridgeport's Master of Science in Data Analytics is a STEM-designated program designed for working professionals seeking career advancement and salary growth. The 30-credit program offers 100% online delivery and can be completed in as low as one year, enabling part-time study alongside employment. Led by industry-expert faculty with terminal degrees and real-world experience, the program emphasizes practical skills and best practices in data analytics. Graduates earn an average of $15,000 more annually than bachelor's degree holders, with mid-career salaries ranging from $90,000 (median database administrator) to $126,762 (director of analytics). The program positions graduates for high-demand roles including senior data analyst, business intelligence manager, data architect, and analytics manager. Financial aid is available to support working professionals in completing the degree while maintaining employment.
Programs Offered
- Master of Science in Data Analytics — 1-2 years, on-campus. MS
Career Outcomes
Median Salary: $NaN. Top Employers: Intel.
Location Advantages: Connecticut manufacturing hub proximityAccess to IoT and smart systems industry partnershipsRegional tech corridor connections
University of New Haven — West Haven, CT
Key Distinction: UNH prioritizes real client projects, career-transition accessibility, and industry-connected learning for professionals entering data science without strong CS backgrounds.
Hakia Insight: UNH's emphasis on real client projects specifically targets career-switchers without strong CS backgrounds, meaning you'll build a portfolio of actual business problems solved (not simulations) while your classmates are still learning foundational programming.
At the master's level, university of New Haven has deliberately built its data science offerings to serve working professionals and students from non-traditional backgrounds, with a curriculum that bridges mathematics, statistics, and practical machine learning without requiring deep prior CS experience. The program's signature strength is its integration of real client projects—students tackle actual analytics challenges from local and regional companies, not hypothetical case studies. Faculty combine academic credentials with extensive industry consulting experience, meaning classroom discussions ground data science ethics, model governance, and production deployment challenges rather than confining learning to theory. UConn's New Haven location is strategically valuable: the university sits in a region with active financial services, insurance, and manufacturing sectors, plus proximity to Yale's research ecosystem creates partnership opportunities. The program explicitly supports students pivoting careers into data science, with curriculum scaffolding that assumes quantitative interest rather than strong pre-requisite CS training. What distinguishes outcomes is the emphasis on portfolio-building through real projects, which translates to strong internship and entry-level placement in regional companies seeking junior data analysts and junior data scientists. For students prioritizing accessible, practical, industry-connected data science education with faculty who actively mentor career transitions, UNH offers a compelling alternative to research-intensive or highly selective programs.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Location Advantages: New Haven financial services and insurance sectorProximity to Yale and Connecticut tech ecosystemAccess to regional manufacturing and professional services companies
Wesleyan University — Middletown, CT
Key Distinction: Wesleyan's data science program stands out for embedding technical training within a liberal arts ethos that prioritizes domain knowledge and intellectual integration, rather than treating data science as an isolated specialization.
Hakia Insight: Wesleyan's liberal arts integration model produces graduates who can translate between technical and domain expertise—a skill McKinsey, JPMorgan, and Accenture actively recruit for because most data science graduates can build models but can't articulate business context to executives.
At the master's level, wesleyan's approach to data science emphasizes integration across the liberal arts, where students combine rigorous computational training with domain expertise in fields ranging from economics and psychology to environmental science and the humanities. Rather than siloing data science into a single department, the program leverages faculty expertise scattered across Mathematics, Computer Science, Physics, and the social sciences, allowing students to tackle real problems where statistical thinking intersects with substantive knowledge. The curriculum balances theoretical foundations—linear algebra, probability, statistical inference—with applied machine learning and data visualization, but what sets Wesleyan apart is its expectation that students will anchor their technical skills in a meaningful domain. Hands-on work happens through senior theses, independent studies, and collaborations with faculty research projects; many students engage with live datasets from partner organizations or conduct original analyses in their chosen fields. The program attracts faculty who view data science not as an end in itself but as a tool for discovery, creating a culture where a student might build predictive models for climate research one semester and design survey methodology for social science the next. Wesleyan's location in Connecticut and its networks in the Northeast provide internship pathways to financial firms, healthcare organizations, and research institutions, though the program's philosophy prioritizes intellectual breadth and critical thinking over narrow job-training outcomes. Graduates often pursue doctoral work in statistics, computer science, or domain-specific fields, as well as roles in analytics, research, and policy where their hybrid training proves valuable.
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
Top Employers: JPMorgan Chase, Americorps, Citi, McKinsey, Accenture, AlphaSights, Massachusetts General Hospital, IBM, Epic, Bank of America.
Location Advantages: Proximity to Northeast financial and healthcare sectorsAccess to regional research institutions and corporate offices in Connecticut and Massachusetts
University of Connecticut — Storrs, CT
Key Distinction: UConn integrates data science research participation and domain specialization into the master's experience, creating a bridge between applied analytics and research-oriented careers.
Hakia Insight: UConn's integration of research participation into the master's curriculum bridges a gap most programs leave open: you gain both applied analytics credibility for industry roles and co-authorship opportunities that position you for PhD or research-leadership trajectories without requiring a separate decision.
UConn's data science program operates within the research infrastructure of a major public research university, giving students access to significant computational resources and faculty engaged in funded research across domains like bioinformatics, environmental modeling, and machine learning systems. The program is structured to balance theoretical computer science foundations with domain-specific applications—students can specialize in areas like healthcare analytics, environmental data science, or financial modeling depending on research interests and career direction. What sets UConn apart is the explicit pathway for students to engage in faculty research from early in their studies; many master's students contribute to ongoing projects in labs, building publication records alongside coursework. The faculty span computer science, statistics, and engineering disciplines, and the program leverages UConn's partnerships with regional healthcare systems, environmental agencies, and tech companies for real-world data projects. UConn's location in Storrs, while rural, is strategically positioned near Hartford (insurance, healthcare, finance) and within reach of Boston's biotech cluster. Graduates typically pursue roles in data engineering, analytics, and research-adjacent positions in healthcare IT, insurance analytics, environmental consulting, and software companies. The program appeals particularly to students seeking research involvement without the commitment of a PhD, or those wanting to specialize in domain-specific applications.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Location Advantages: Proximity to Hartford insurance and healthcare sectorsAccess to Boston biotech and research institutions (2 hours)Partnerships with Connecticut healthcare systems and state agencies
Fairfield University — Fairfield, CT
Key Distinction: Part-time and full-time enrollment options. Most courses offered in evening (weekday courses meet once weekly for 2.5 hours)
Hakia Insight: Fairfield's once-weekly evening courses meet for 2.5 hours—a scheduling design that lets working professionals in the Stamford finance corridor (BlackRock, UBS, Barclays offices) complete a 30-credit degree in 12-24 months without abandoning high-stakes jobs during career transition.
Fairfield's Master of Science in Data Science is a 30-credit program designed for working professionals seeking career advancement in data science. Students can complete the degree in 12-24 months through flexible full-time or part-time enrollment, with most courses offered in the evening to accommodate employed students. The program combines core data science coursework with specialization electives and a capstone project, emphasizing hands-on experience with industry-standard tools and ethical decision-making. Graduates pursue roles across healthcare, finance, manufacturing, and government sectors. The median salary for data science professionals is $108,020 according to the U.S. Bureau of Labor Statistics, with 3% projected job growth. Limited part-time graduate assistantships are available to qualifying students. The curriculum integrates domain-specific knowledge with practical technical skills, preparing graduates for immediate career impact and advancement.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus. MS
Industry Partners
- New York Stock Exchange (corporate)
- Stamford-based hedge funds and asset managers (corporate)
- Major investment banks (NY satellite offices) (corporate)
Career Outcomes
Median Salary: $NaN.
Location Advantages: 45-minute proximity to Wall Street and New York financial marketsCenter of Stamford finance corridor (BlackRock, UBS, Barclays satellite offices)Direct access to hedge funds, asset managers, and fintech firmsEstablished recruiting pipeline to major investment banks and quant firms
