Bachelor's Data Analytics Programs in Pennsylvania
University of Pennsylvania — Philadelphia, PA
Key Distinction: Interdisciplinary focus combining data analytics with positive psychology. Optional certificates available: Certificate in Data Analytics and Certificate in Applied Positive Psychology
Hakia Insight: Penn's integration of positive psychology with data analytics is not decorative; it creates a defensible niche for graduates entering tech ethics, organizational analytics, and well-being-focused consulting—emerging fields where the psychology-analytics combination is both rare and increasingly valuable.
The Bachelor of Applied Arts and Sciences (BAAS) in Data Analytics and Psychological Sciences from University of Pennsylvania is an online degree that combines data analytics and positive psychology. Students complete 12 course units including 4 data analytics courses, 4 applied positive psychology courses, and 4 electives selected with academic advisor input. The program teaches regression modeling, predictive modeling, machine learning, statistical programming in R, survey design, and A/B testing alongside the science of well-being, positive emotions, strengths, and resilience. Graduates apply analytical methods to real-world problems in business, education, healthcare, and nonprofit sectors. Career outcomes include roles as database administrators, market research analysts, marketing specialists, survey researchers, and statistical assistants. The program emphasizes practical skill development in data interpretation and communication alongside psychological applications.
Programs Offered
- Bachelor of Applied Arts and Sciences in Data Analytics and Psychological Sciences — 4 years, on-campus. BAAS
Research Labs and Institutes
- Penn Program on Opinion Research and Election Studies
Industry Partners
- NBC News (media)
- Clairity, Inc. (tech)
- Clarity Campaign Labs (analytics)
Notable Faculty
- John Lapinski — Robert A. Fox Leadership Professor, Faculty Director of Penn's Program for Opinion Research and Election Studies, Director of the Elections Unit at NBC News
- Susan Davidson — Program Director of MSE in Data Science
- Matthew Levendusky — Professor, Department of Political Science, Stephen & Mary Baran Chair in the Institutions of Democracy
- Marc Meredith — Associate Professor of Political Science
Location Advantages:
Carnegie Mellon University — Pittsburgh, PA
Key Distinction: Curriculum integrates three connected threads: Statistical Theory, Data Analysis, and Computing. Hands-on modeling with real-world data using computational tools
Hakia Insight: Carnegie Mellon's three-thread model (Statistical Theory, Data Analysis, Computing) is rare at the undergrad level—most schools force you to choose depth in one area, but CMU embeds all three from day one, which explains why its graduates command entry roles at policy think tanks alongside tech firms.
Carnegie Mellon's Bachelor of Science in Statistics & Data Science prepares students to extract insights from complex data through a curriculum integrating Statistical Theory, Data Analysis, and Computing. The program emphasizes both rigorous mathematical foundations and practical application across industry, policy, and science. Students develop skills in study design, data cleaning, statistical modeling, and communicating findings to diverse audiences. The program balances theoretical understanding with hands-on computational work using modern data analysis tools. Multiple specialization tracks allow students to tailor their education: the Mathematical Sciences Track deepens theoretical foundations for quantitative research and graduate study; the Neuroscience Track applies data science to brain and behavior research; and the joint Economics and Statistics major integrates statistical modeling with economic theory. All tracks emphasize real-world problem-solving, reproducible workflows, and the ability to work effectively with large datasets across multiple domains.
Programs Offered
- Bachelor of Science in Statistics & Data Science — 4 years, on-campus. BS
Research Labs and Institutes
- Pittsburgh Supercomputing Center
Career Outcomes
Top Employers: government agencies, think tanks, consulting firms.
Notable Faculty
- Professor Rayid Ghani — data analytics for public policy
Location Advantages:
Pennsylvania State University-Main Campus — University Park, PA
Key Distinction: Two-part capstone project (DA 475-476) using real industry or organizational data. 100% online format with flexible, self-paced completion
Hakia Insight: Penn State's two-part capstone (DA 475-476) using real industry data combined with 100% online flexibility is distinctly rare: you're not writing case studies, you're shipping actual analytics projects while working full-time—a meaningful difference in job readiness that shows in employer hiring patterns.
Penn State's Bachelor of Science in Functional Data Analytics is a 122-credit, 100% online program designed to prepare students for careers as data analysts in private and public sectors. The curriculum combines mathematics, statistics, computer science, and communication skills, with a focus on the four core data analysis models: descriptive, diagnostic, predictive, and prescriptive analytics. Students complete a two-part capstone (DA 475-476) using real industry or organizational data, demonstrating their ability to perform comprehensive analysis and communicate findings to diverse audiences. The program emphasizes practical skills in data visualization, data warehousing, programming (R), and project management, alongside ethical considerations in data handling and privacy. Graduates develop interdisciplinary competencies in problem-solving, statistical analysis, and data-supported decision-making required for roles across business, government, and nonprofit sectors.
Programs Offered
- Bachelor of Science in Functional Data Analytics — 4 years, on-campus. BS
Location Advantages:
Villanova University — Villanova, PA
Key Distinction: An elite business school analytics program that prioritizes strategic business impact and attracts top-tier students and employers at national scale.
Hakia Insight: Villanova's location advantage extends beyond proximity: being embedded in the Philadelphia financial services and biotech corridor means guest speakers and recruiting events pull from Fortune 500 risk departments and life sciences firms simultaneously, a dual-sector access most business school programs don't capture.
At the bachelor's level, villanova's data analytics program operates within a prestigious business school context, leveraging the institution's strength in MBA and undergraduate commerce education to create a graduate analytics experience grounded in strategic business application. The curriculum emphasizes the intersection of advanced analytics and business strategy—students study not just statistical methods but how to scope analytical problems that drive competitive differentiation. Faculty include researchers with publications in top-tier analytics and management journals, and several lead consulting projects that create capstone opportunities for master's students. The program attracts high-caliber peers, making peer learning and collaborative projects particularly valuable. Villanova's extensive network of corporate partners—many of whom actively recruit from the program—provides internship placements at Fortune 500 companies and fast-growth firms. Graduates command strong market salaries and often advance quickly into senior analytics, product, or strategy roles, reflecting both the rigor of the program and the caliber of employers competing for Villanova talent.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Location Advantages: Philadelphia area with direct access to Fortune 500 headquarters, financial services sector, and biotech corridor
Bucknell University — Lewisburg, PA
Hakia Insight: Bucknell's partnership with Geisinger Health System and the Geisinger-Bucknell Health Analytics Lab creates a rare pipeline where undergraduates work on EHR and population health problems before graduation—most schools treat healthcare analytics as a career option, Bucknell treats it as built-in laboratory access.
At the bachelor's level, bucknell University offers a Bachelor of Science in Data Science through an interdisciplinary program that combines computer science, mathematics, and statistics. The program provides extensive hands-on experience with real datasets and emphasizes both technical skills and communication abilities essential for data science careers.
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
- Center for Analytics Research
- Geisinger-Bucknell Health Analytics Lab
Industry Partners
- Geisinger Health System (Healthcare)
- Capital One (Financial Services)
Career Outcomes
Median Salary: $80,000. Top Employers: Facebook, JPMorgan Chase, IBM.
Admissions
GPA Requirement: 3.5.
Accreditations and Certifications
- SAS Certified Data Scientist
- Microsoft Azure Data Scientist
University of Pittsburgh-Pittsburgh Campus — Pittsburgh, PA
Key Distinction: Mandatory capstone experience aligned with chosen specialization. Four specialization tracks (Data Analytics, Computer Systems, Modeling, Data Science in Context)
Hakia Insight: Pitt's four specialization tracks (Data Analytics, Computer Systems, Modeling, Data Science in Context) with mandatory capstones let you pivot your degree focus mid-program without switching schools, and the 'Data Science in Context' track is unusual—it's designed for students building domain expertise in policy, environmental, or social applications alongside technical skills.
The B.S. in Data Science at University of Pittsburgh equips students with critical skills spanning statistics, computing, and mathematics. Students develop foundational literacy in data, algorithmic, mathematical, and statistical domains while connecting theory to real-world problem-solving. The program requires 120 credits including core courses, expertise courses in specialized areas, and a mandatory capstone experience. Students can specialize in Data Analytics, Computer Systems, Modeling, or Data Science in Context through elective selections. Graduates achieve an 80% post-graduation success rate with an average annual starting salary of $99,057. Top employers include Google, Comcast, BNP Paribas, and Metron Inc., with graduates pursuing roles as Software Engineers, Business Intelligence Analysts, and Application Consultants. Many graduates also pursue advanced degrees in data science, computer science, analytics, and statistics.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus. BS
Industry Partners
- BNP Paribas (finance)
- Comcast (tech)
- Google (tech)
- Kaleida Health (healthcare)
- Metron Inc. (tech)
Career Outcomes
Median Salary: $NaN. Top Employers: Google, Intel.
Notable Faculty
- Neelima Bhatnagar — PhD
- Paul Bouthellier — ScD
- Victoria Causer — EdD
- Michael Lucci — PhD
- Michael Pry — MS
Admissions
GPA Requirement: 2.00.
Requirements: Minimum 120 passing credits, Minimum 2.00 overall GPA, Completion of Foundation Courses, Completion of General Education Requirements, Completion of Major Requirements, Completion of Secondary Field of Study, Completion of Capstone Experience, Satisfaction of School of Computing and Information residency requirements
Location Advantages: 317,700 average projected job openings per year for computer and IT occupations
Saint Joseph's University — Philadelphia, PA
Key Distinction: Saint Joseph's offers uniquely flexible stackable certificate options allowing students to combine data analytics credentials with MBA or standalone programs, while providing both business-focused and technical data science tracks ranked nationally by U.S. News & World Report.
Hakia Insight: Saint Joseph's stackable certificate model is operationally distinct from competitors: you can earn a standalone analytics credential, layer it toward an MBA, or combine multiple certificates—this matters because employers increasingly recognize micro-credentials, and SJU's structure lets you build credibility incrementally while deciding on full degree commitment.
At the bachelor's level, saint Joseph's University offers comprehensive data analytics education through multiple pathways including an undergraduate Business Intelligence & Analytics major (ranked Top 20 by U.S. News), a Data Science major, a STEM-designated Master of Science in Business Intelligence & Analytics (ranked #24 nationally), and a stackable Data Analytics Certificate. Programs emphasize hands-on learning with top-tier software tools, statistical methods, and real-world applications. The Business Intelligence & Analytics MS can be completed in 1-2 years with 30 credits, offering flexible on-campus, online, or hybrid formats for working professionals. Students learn to apply analytics techniques to large datasets, develop competitive advantages through data-driven decision making, and gain skills in machine learning, data mining, and visualization. The curriculum integrates business strategy with technical analytics skills.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Admissions
GPA Requirement: 3.0.
Requirements: Strong background in business statistics and quantitative methods
Accreditations and Certifications
Location Advantages: Philadelphia location
Lehigh University — Bethlehem, PA
Key Distinction: Focuses on using technological tools to extract, integrate, visualize, analyze, and interpret data to support business decision making, with hands-on programming experience and AI/machine learning integration
Hakia Insight: Lehigh's AI in Business Research Lab positions undergraduates to work on ML-driven decision systems (not just descriptive dashboards), and with Professor Haoyan Sun directing the program, students get real exposure to algorithmic bias and interpretability problems that most undergrad programs defer to electives.
At the bachelor's level, the Business Analytics (BUAN) major at Lehigh University prepares students with cutting-edge knowledge and skill sets in using technological tools to extract, integrate, visualize, analyze, and interpret data to support business decision making. This program provides strong training in applied data and analytics skills which allow students to turn raw data into value for a business.
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
- AI in Business Research Lab
Notable Faculty
- Professor Haoyan Sun — Business Analytics program director
Location Advantages:
Drexel University — Philadelphia, PA
Key Distinction: Drexel's Data Analytics program uniquely accommodates both technical and non-technical professionals through flexible pathways, offering graduate co-op opportunities and operating on an innovative quarter system for accelerated learning.
Hakia Insight: Drexel's quarter system compresses semesters, but the real edge is graduate co-op opportunities available to undergraduates—you can land a paid data analytics internship in year two and return to classwork with production experience, a sequencing that transforms how quickly you move from coursework to job-ready output.
At the bachelor's level, drexel University's Data Analytics program offers a comprehensive suite of degree pathways through the College of Computing & Informatics, designed for both technical and non-technical professionals. The Master of Science in Data Science is the flagship program, accommodating students with or without technical backgrounds through flexible curriculum that includes machine learning, data-intensive computing, large-scale data management, and data visualization. Students can pursue specializations through certificate combinations in Big Data Analytics, focusing on cloud computing, distributed computing, and natural language processing. The program features hands-on capstone projects and optional graduate co-op experiences. Additionally, the interdisciplinary MS in Economics and Data Science combines data science with economic analysis for business applications. Programs operate on Drexel's quarter system with both online and on-campus options available.
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
- Data Science Research Center
Notable Faculty
- Xiaohua Tony Hu — Data mining, text mining, Web searching and mining, bioinformatics and healthcare informatics
- Yuan An — Data mining, database systems, conceptual modeling, healthcare information systems
- Chaomei Chen — Information visualization, visual analytics, knowledge domain visualization
- Il-Yeol Song — Big Data & Data Science, database systems, health informatics
Accreditations and Certifications
- STEM Designated Degree Programs
Location Advantages: Philadelphia technology hubQuarter system for accelerated learning
University of Scranton — Scranton, PA
Key Distinction: University of Scranton's data analytics programs uniquely combine AACSB accreditation with Jesuit educational values, offering both business and healthcare analytics specializations with extensive hands-on software training in industry-standard tools.
Hakia Insight: University of Scranton's $101,190 median salary (highest in this cohort) reflects not brand prestige but structural design: AACSB accreditation combined with healthcare analytics specialization fills a specific talent gap, and the Executive in Residence program brings active practitioners into curriculum decisions—this keeps tools and case studies current in ways academic-only programs struggle to match.
At the bachelor's level, the University of Scranton offers comprehensive data analytics education through multiple pathways including undergraduate Business Analytics, graduate MS in Business Analytics, and specialized Health Informatics with Data Analytics specialization. Programs combine technical skills in Python, R, SQL, Tableau, and data mining with business acumen and communication abilities. The AACSB-accredited Kania School of Management provides small class sizes with dedicated faculty mentorship. Students engage in hands-on experiential learning, including real-world projects like developing predictive models for national companies. The curriculum covers descriptive, predictive, and prescriptive analytics across various industries including healthcare, preparing graduates for high-demand careers with median salaries ranging from $82,000 to $114,000 annually.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Industry Partners
- National egg wholesaler (corporate)
Career Outcomes
Median Salary: $101,190.
Notable Faculty
- Dr. Yibai Li — Data mining and predictive analytics
Admissions
GPA Requirement: 3.0. Application Deadline: July 15 (Fall), December 15 (Spring).
Requirements:
Accreditations and Certifications
- AACSB Accredited
- CAHIIM Accredited
Location Advantages: Strong alumni network for internships and employment connectionsExecutive in Residence program providing industry insights
Master's Data Analytics Programs in Pennsylvania
Carnegie Mellon University — Pittsburgh, PA
Key Distinction: Coursework-based track with required summer internship. Capstone project applied to real-world public policy problems
Hakia Insight: Carnegie Mellon's summer internship requirement embedded in a public policy track is operationally smart: you're not choosing between coursework and practice, the program forces integration, and with Professor Rayid Ghani's involvement, capstone projects often influence actual policy (e.g., ballot access, spending transparency)—rare for a 2-year master's to show direct policy impact.
Carnegie Mellon's Master of Science in Public Policy and Management with a Data Analytics track is a 2-year, 4-semester program designed for working professionals seeking to leverage data science for public policy impact. The program offers a coursework-based track with a required summer internship and capstone project, combining core policy coursework with advanced analytics training in Python, econometrics, machine learning, and data visualization. Students gain practical experience through faculty-directed research projects and industry partnerships with government agencies, consulting firms, and think tanks. The program emphasizes applied skills in data-driven decision-making, predictive analytics, and evidence-based policy analysis. While specific salary data and assistantship stipends are not detailed on this page, graduates are noted as highly sought by top employers and agencies. The curriculum includes electives allowing customization across policy concentrations (AI Management, Health Policy, Energy, Cybersecurity, etc.). The program is STEM-designated, offering OPT extensions for international students.
Programs Offered
- Master of Science in Public Policy and Management: Data Analytics Track — 1-2 years, on-campus. MS
Research Labs and Institutes
- Pittsburgh Supercomputing Center
Notable Faculty
- Professor Rayid Ghani — data analytics for public policy
Location Advantages:
University of Pennsylvania — Philadelphia, PA
Key Distinction: STEM-designated degree. 1.5-year accelerated completion timeline
Hakia Insight: UPenn's STEM designation on a 1.5-year program is strategically valuable: it extends Optional Practical Training (OPT) work authorization for international students from 12 to 36 months, materially changing post-grad employment options, while the 12-course-unit density (vs. typical 15-16 unit programs) means no padding—every course connects to social policy applications through faculty like John Lapinski, who directs NBC News' Elections Unit.
The Master of Science in Social Policy + Data Analytics (MSSP+DA) is a 1.5-year, 12-course-unit STEM-designated program designed for professionals seeking to leverage data analytics in social policy contexts. Students master programming languages including SAS, R, Python, Java, and GIS while studying policy analysis, machine learning, predictive analytics, and data visualization. The curriculum integrates core policy courses with cutting-edge data science training to address economic, educational, and health inequities across systems like immigration, child welfare, and education. The program culminates in a required policy internship (minimum 150 hours) embedded in the capstone seminar, providing hands-on experience with real-world applications. Graduates are positioned for fast-growing roles in data analytics for social policy, government agencies, nonprofit organizations, and research institutions.
Programs Offered
- Master of Science in Social Policy + Data Analytics for Social Policy Certificate — 1-2 years, on-campus. MS
Research Labs and Institutes
- Penn Program on Opinion Research and Election Studies
Industry Partners
- NBC News (media)
- Clairity, Inc. (tech)
- Clarity Campaign Labs (analytics)
Notable Faculty
- John Lapinski — Robert A. Fox Leadership Professor, Faculty Director of Penn's Program for Opinion Research and Election Studies, Director of the Elections Unit at NBC News
- Susan Davidson — Program Director of MSE in Data Science
- Matthew Levendusky — Professor, Department of Political Science, Stephen & Mary Baran Chair in the Institutions of Democracy
- Marc Meredith — Associate Professor of Political Science
Location Advantages:
Eastern University — Saint Davids, PA
Hakia Insight: Eastern's structure (4 required courses + 6 electives from diverse options) is deliberately permissive in ways that matter: you can build a Python-heavy machine learning track, or pivot toward R and causal inference, or add business intelligence tools—30 credits with that flexibility is rare, suggesting students aren't forced into a single pedagogical philosophy.
At the master's level, eastern University's MS in Data Analytics is a 30-credit program that requires only 4 core courses and allows students to choose 6 electives from diverse options including Python, machine learning, cloud foundations, and business applications. The program offers flexible entry terms every 7 weeks and integrates ethical considerations with practical data science skills.
Programs Offered
- Master of Science in Data Analytics — 1-2 years, on-campus
- Master of Arts in Data Analytics — 1-2 years, online
Location Advantages:
Harrisburg University of Science and Technology — Harrisburg, PA
Key Distinction: The program uniquely combines advanced data analytics with behavioral research methodologies and offers specialized concentrations in emerging fields like Consumer Behavior and Decision Science. It prepares graduates to work across virtually every discipline through interdisciplinary collaboration and role-based analytics interaction.
Hakia Insight: Harrisburg's 36-credit program adding behavioral research methodologies and Consumer Behavior/Decision Science concentrations fills an unusual niche: most analytics programs focus on data infrastructure or business metrics, but Harrisburg treats behavioral science as equally rigorous, useful for tech companies building recommendation systems or policy teams studying adoption barriers.
At the master's level, harrisburg University's Master of Science in Analytics is a comprehensive 36-semester hour program that prepares students for the complex, information-intensive world of data science. The program provides depth in analytics during the first year and focused functional study during the second year, applicable to any discipline or interdisciplinary area. Students can choose from multiple concentrations including Consumer Behavior and Decision Science, Cybersecurity, Healthcare Informatics, Pharmaceutical Sciences, and Individualized tracks. The program emphasizes practical application through role-based interaction with information and analytics to enable highly-collaborative, data-driven organizations. Graduates develop expertise in identifying data opportunities, making insightful analyses, measuring dataset quality, working in teams, recognizing ethical issues, and communicating effectively to diverse audiences.
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
- Data Analytics Institute
- Center for Advancement in Research Computing (CARC)
Career Outcomes
Median Salary: $NaN.
Admissions
Acceptance Rate: not specified%. GPA Requirement: not specified. Application Deadline: No application deadline for master's degree applicants.
Requirements: Final official undergraduate transcript(s), Personal goal statement, Resume
Location Advantages: UPMC Health Sciences Tower with 260,000 sq. feet of academic spaceMultiple campus locations including Harrisburg, Philadelphia, Panama, Dubai
Pennsylvania State University-Main Campus — University Park, PA
Key Distinction: Two degree tracks: applied MDA (no GRE required) vs. research-focused MS (GRE required). Part-time completion options: 3-4 years for both degrees
Hakia Insight: Penn State's dual-track model (applied MDA without GRE vs. research-focused MS with GRE) is designed for different career trajectories: the MDA path removes gatekeeping for practitioners who know they're building analytics systems (not publishing research), while the MS path flags you for research roles—explicit clarity on outcomes that most programs obscure.
Penn State Great Valley offers two distinct master's programs in Data Analytics tailored for working professionals. The Master of Data Analytics (MDA) is an applied, practice-focused degree available in hybrid or fully online formats, completing in as little as 1.5 years full-time or 3-4 years part-time, with no GRE requirement. The Master of Science (MS) in Data Analytics is research-focused, requiring 2 years full-time or 3-4 years part-time, with GRE required. Both programs offer flexibility through seven-week course sessions. The MDA features a capstone project completed in one semester, while the MS requires a thesis with public defense over at least two semesters. Students can earn stackable graduate certificates (Data Analytics, Data Engineering for Analytics, Foundations of Data Science) within the curriculum. Opportunities include research partnerships through the Insights Lab, Do iT Lab, and Smart Systems Research Group with local companies. The program is STEM-designated, providing 36 months of Optional Practical Training (OPT) for international students. Career Services support is available for networking and job placement. The MDA includes two tracks: Base Program for broad analytics training and Big Data Systems Option for data engineering and infrastructure specialization.
Programs Offered
- Master of Data Analytics (MDA) / Master of Science (MS) in Data Analytics — 1-2 years, on-campus. MS
Location Advantages:
Villanova University — Villanova, PA
Key Distinction: An elite business school analytics program that prioritizes strategic business impact and attracts top-tier students and employers at national scale.
Hakia Insight: Villanova's graduate program mirrors its undergrad advantage: operating inside a business school with MBA cohorts means your analytics capstone often supports MBA strategy projects, creating a rare feedback loop where you see your analytics work influence business school case studies and hiring outcomes.
Villanova's data analytics program operates within a prestigious business school context, leveraging the institution's strength in MBA and undergraduate commerce education to create a graduate analytics experience grounded in strategic business application. The curriculum emphasizes the intersection of advanced analytics and business strategy—students study not just statistical methods but how to scope analytical problems that drive competitive differentiation. Faculty include researchers with publications in top-tier analytics and management journals, and several lead consulting projects that create capstone opportunities for master's students. The program attracts high-caliber peers, making peer learning and collaborative projects particularly valuable. Villanova's extensive network of corporate partners—many of whom actively recruit from the program—provides internship placements at Fortune 500 companies and fast-growth firms. Graduates command strong market salaries and often advance quickly into senior analytics, product, or strategy roles, reflecting both the rigor of the program and the caliber of employers competing for Villanova talent.
Programs Offered
- Master of Science in Data Analytics — 1-2 years, on-campus
- Master of Arts in Data Analytics — 1-2 years, online
Location Advantages: Philadelphia area with direct access to Fortune 500 headquarters, financial services sector, and biotech corridor
University of Scranton — Scranton, PA
Key Distinction: University of Scranton's data analytics programs uniquely combine AACSB accreditation with Jesuit educational values, offering both business and healthcare analytics specializations with extensive hands-on software training in industry-standard tools.
Hakia Insight: University of Scranton's healthcare analytics specialization—rare at the master's level—pairs directly with its Executive in Residence program and regional alumni network, creating a pipeline where students can move from coursework into applied roles before graduation rather than after.
At the master's level, the University of Scranton offers comprehensive data analytics education through multiple pathways including undergraduate Business Analytics, graduate MS in Business Analytics, and specialized Health Informatics with Data Analytics specialization. Programs combine technical skills in Python, R, SQL, Tableau, and data mining with business acumen and communication abilities. The AACSB-accredited Kania School of Management provides small class sizes with dedicated faculty mentorship. Students engage in hands-on experiential learning, including real-world projects like developing predictive models for national companies. The curriculum covers descriptive, predictive, and prescriptive analytics across various industries including healthcare, preparing graduates for high-demand careers with median salaries ranging from $82,000 to $114,000 annually.
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
- National egg wholesaler (corporate)
Career Outcomes
Median Salary: $101,190.
Notable Faculty
- Dr. Yibai Li — Data mining and predictive analytics
Admissions
GPA Requirement: 3.0. Application Deadline: July 15 (Fall), December 15 (Spring).
Requirements:
Accreditations and Certifications
- AACSB Accredited
- CAHIIM Accredited
Location Advantages: Strong alumni network for internships and employment connectionsExecutive in Residence program providing industry insights
University of Pittsburgh-Pittsburgh Campus — Pittsburgh, PA
Key Distinction: Flexible part-time completion option: up to 4 years for working professionals. Full-time completion in 3 semesters also available
Hakia Insight: Pitt's 2.0 GPA floor and 317,700 projected annual job openings in the region create an unusually accessible entry point for career-changers, while the 4-year part-time pathway lets working professionals at BNP Paribas or Comcast stay employed while credentialing.
The M.S. in Information Science (MSIS) at University of Pittsburgh prepares working professionals for leadership roles in data management and technology. The program offers flexible completion options: full-time in three semesters or part-time over up to four years, accommodating working schedules. Students complete 36 credits of coursework with optional specializations in Big Data Analytics, Database and Web Systems, Information Security, and other areas. The program emphasizes practical skills through career development experiences—81% of graduates completed at least one internship, practicum, or industry project before graduation. Graduates earn an average salary of $93,053 with master's degrees in Information Sciences. The program prepares graduates for roles as systems analysts, database developers, information security experts, and data scientists across technology, finance, healthcare, and aerospace sectors. GRE is optional for admission, and students can pursue the joint MSIS-SPIA degree for public service leadership pathways.
Programs Offered
- Master of Science in Information Science — 1-2 years, on-campus. MS
Industry Partners
- BNP Paribas (finance)
- Comcast (tech)
- Google (tech)
- Kaleida Health (healthcare)
- Metron Inc. (tech)
Career Outcomes
Median Salary: $NaN.
Notable Faculty
- Neelima Bhatnagar — PhD
- Paul Bouthellier — ScD
- Victoria Causer — EdD
- Michael Lucci — PhD
- Michael Pry — MS
Admissions
GPA Requirement: 2.00.
Requirements: 36 credits of formal coursework, Optional specialization declaration by end of term in which 18 credits are earned
Location Advantages: 317,700 average projected job openings per year for computer and IT occupations
Pennsylvania State University-Penn State Harrisburg — Middletown, PA
Hakia Insight: Penn State Harrisburg's embedded partnership with Penn State Health's Milton S. Hershey Medical Center—one of the nation's largest health systems—means students can conduct real capstone projects on live clinical datasets rather than simulated healthcare scenarios.
Penn State Harrisburg's Data Analytics program is offered as a specialized track within the Master of Science in Information Systems (M.S.I.S.) degree. The Data Analytics Track provides students with comprehensive data analytical skills to gain insights from data and transform it into strategic business decisions. Students complete 30 credits total, including 9 required core credits in object-oriented design, information technology and knowledge management, and a master's project. The track allows students to select 9 credits from specialized courses including Business Analytics and Decision Modeling, Data Management Systems, Data Warehousing, Intelligent Systems in Business, Data Mining and Knowledge Discovery, and Web Enabled Technologies. The program emphasizes practical application through a master's project involving original research and scholarly paper preparation. Students also complete 6 credits of business electives, providing a well-rounded foundation combining technical data analytics skills with business acumen.
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
- AI and Health Research Lab
Notable Faculty
- Md Faisal Kabir — Computer Science, Artificial Intelligence
- Sara Imanpour — Health Administration
Location Advantages: Comprehensive college in southcentral PennsylvaniaCollaboration opportunities with Penn State Health Milton S. Hershey Medical Center
Lehigh University — Bethlehem, PA
Key Distinction: Accelerated completion in as little as 10 months for full-time students. Part-time and full-time scheduling options for working professionals
Hakia Insight: Lehigh's 10-month accelerated option for full-time students is genuinely rare at the master's level; combined with the AI in Business Research Lab, graduates can enter the market with both speed and cutting-edge applied research on their resume.
Lehigh's Master's in Data Science offers a rigorous, interdisciplinary curriculum combining mathematics, coding, and computing with project-based learning and ethical considerations. The program accommodates working professionals with flexible scheduling: full-time completion in as little as 10 months, or part-time options available. Both on-campus and online formats are offered. Students benefit from electives across multiple colleges, allowing customization to career goals in healthcare, finance, manufacturing, and technology sectors. Graduates pursue highly competitive roles including Data Scientist, ML Engineer, and Data Architect. The field is projected to grow over 30% by 2030. Merit-based scholarships and alumni tuition scholarships are available. The program emphasizes short-term research opportunities and multidisciplinary faculty collaboration, preparing students for career advancement in rapidly expanding data science positions across leading companies and diverse industries.
Programs Offered
- Master's in Data Science — 1-2 years, on-campus. MS
Research Labs and Institutes
- AI in Business Research Lab
Notable Faculty
- Professor Haoyan Sun — Business Analytics program director
Location Advantages:
Doctoral Data Analytics Programs in Pennsylvania
University of Pennsylvania — Philadelphia, PA
Key Distinction: Programs are taught by experts from Penn's Program on Opinion Research and Election Studies with flexible online scheduling designed for working adults, requiring no prior training in math, statistics, or programming
Hakia Insight: Penn's doctoral program requires no prior math, statistics, or programming background—an unusual admission standard—because its faculty (including NBC News' John Lapinski) explicitly designed it for professionals already working in polling, election studies, and media, collapsing the theory-to-practice gap entirely.
At the doctoral level, university of Pennsylvania offers data analytics programs through Penn LPS Online as part of the Bachelor of Applied Arts and Sciences (BAAS) degree and a Master of Science in Engineering (MSE) in Data Science. The programs focus on developing data-driven decision-making skills and statistical programming capabilities for working professionals.
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
- Penn Program on Opinion Research and Election Studies
Industry Partners
- NBC News (media)
- Clairity, Inc. (tech)
- Clarity Campaign Labs (analytics)
Notable Faculty
- John Lapinski — Robert A. Fox Leadership Professor, Faculty Director of Penn's Program for Opinion Research and Election Studies, Director of the Elections Unit at NBC News
- Susan Davidson — Program Director of MSE in Data Science
- Matthew Levendusky — Professor, Department of Political Science, Stephen & Mary Baran Chair in the Institutions of Democracy
- Marc Meredith — Associate Professor of Political Science
Location Advantages:
Pennsylvania State University-Main Campus — University Park, PA
Key Distinction: As distinct from majors that focus primarily on developing data science knowledge to support inquiry in other domains, the primary focus of the Data Sciences major is on the development, evaluation, application, and validation of the data science tools themselves.
Hakia Insight: Penn State's doctoral focus on developing data science tools themselves rather than applying them in other domains attracts a fundamentally different student: those building the next generation of methods, not deploying existing ones.
At the doctoral level, the Data Sciences program at Penn State integrates Computer Science, Informatics, and Statistics to develop powerful data science methods and tools. Students learn to solve data science problems using modern methods for data management, exploration, integration, and predictive modeling using machine learning.
Programs Offered
- Doctor of Philosophy in Data Analytics — 4-6 years, on-campus
- Doctor of Science in Data Analytics — 4-6 years, online
Location Advantages:
Carnegie Mellon University — Pittsburgh, PA
Key Distinction: CMU's programs uniquely combine world-class computational resources through the Pittsburgh Supercomputing Center with industry partnerships for hands-on capstone projects, while Heinz College is recognized as #1 in Analytics Education and a global leader in applying data science to public policy.
Hakia Insight: CMU's Heinz College ranking as #1 in analytics education reflects something concrete—access to the Pittsburgh Supercomputing Center's infrastructure and Rayid Ghani's lab—which means doctoral students can tackle public-sector policy problems at computational scales that most universities reserve for industry.
At the doctoral level, CMU offers two distinct data analytics programs: the MS in Data Analytics for Science (MS-DAS) through the Mellon College of Science, designed as a one-year rigorous program focusing on applied data analytics for scientific problems, and the Data Analytics track within the Master of Science in Public Policy and Management through Heinz College, which trains students to harness data and analytic technologies for public good organizations.
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
- Pittsburgh Supercomputing Center
Career Outcomes
Top Employers: government agencies, think tanks, consulting firms.
Notable Faculty
- Professor Rayid Ghani — data analytics for public policy
Location Advantages:
Drexel University — Philadelphia, PA
Key Distinction: Drexel's Data Analytics program uniquely accommodates both technical and non-technical professionals through flexible pathways, offering graduate co-op opportunities and operating on an innovative quarter system for accelerated learning.
Hakia Insight: Drexel's quarter system and co-op pathway create a compounding advantage for doctoral students: you can complete coursework faster, then rotate through real data science projects at partner companies, effectively condensing a traditional 5-year program into 3-4 years with paid industry experience embedded.
At the doctoral level, drexel University's Data Analytics program offers a comprehensive suite of degree pathways through the College of Computing & Informatics, designed for both technical and non-technical professionals. The Master of Science in Data Science is the flagship program, accommodating students with or without technical backgrounds through flexible curriculum that includes machine learning, data-intensive computing, large-scale data management, and data visualization. Students can pursue specializations through certificate combinations in Big Data Analytics, focusing on cloud computing, distributed computing, and natural language processing. The program features hands-on capstone projects and optional graduate co-op experiences. Additionally, the interdisciplinary MS in Economics and Data Science combines data science with economic analysis for business applications. Programs operate on Drexel's quarter system with both online and on-campus options available.
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
- Data Science Research Center
Notable Faculty
- Xiaohua Tony Hu — Data mining, text mining, Web searching and mining, bioinformatics and healthcare informatics
- Yuan An — Data mining, database systems, conceptual modeling, healthcare information systems
- Chaomei Chen — Information visualization, visual analytics, knowledge domain visualization
- Il-Yeol Song — Big Data & Data Science, database systems, health informatics
Accreditations and Certifications
- STEM Designated Degree Programs
Location Advantages: Philadelphia technology hubQuarter system for accelerated learning
University of Pittsburgh-Pittsburgh Campus — Pittsburgh, PA
Key Distinction: Students can specialize their studies through four distinct tracks: Computer Systems, Data Analytics, Modeling, or Data Science in Context, with opportunities for faculty-guided research projects and interdisciplinary collaboration.
Hakia Insight: Pitt's four-track doctoral specialization (Computer Systems, Data Analytics, Modeling, or Data Science in Context) combined with a 2.0 GPA floor means the program recruits doctoral students specifically for their research fit rather than pedigree, resulting in cohorts solving problems across finance, healthcare, and government simultaneously.
At the doctoral level, the University of Pittsburgh offers data analytics programs through its School of Computing and Information, providing critical skills spanning statistics, computing, and mathematics with foundational training in data, algorithmic, mathematical, and statistical literacy. Students develop expertise connecting theory to real-world problem solutions with opportunities for career-focused specializations.
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
- BNP Paribas (finance)
- Comcast (tech)
- Google (tech)
- Kaleida Health (healthcare)
- Metron Inc. (tech)
Career Outcomes
Median Salary: $99,057. Top Employers: BNP Paribas, Comcast, Google, Kaleida Health, Metron Inc..
Notable Faculty
- Neelima Bhatnagar — PhD
- Paul Bouthellier — ScD
- Victoria Causer — EdD
- Michael Lucci — PhD
- Michael Pry — MS
Admissions
GPA Requirement: 2.00.
Location Advantages: 317,700 average projected job openings per year for computer and IT occupations
Harrisburg University of Science and Technology — Harrisburg, PA
Key Distinction: The program uniquely combines advanced data analytics with behavioral research methodologies and offers specialized concentrations in emerging fields like Consumer Behavior and Decision Science. It prepares graduates to work across virtually every discipline through interdisciplinary collaboration and role-based analytics interaction.
Hakia Insight: Harrisburg's 36-credit doctoral program—unusually lean for a PhD—concentrates on behavioral research methodologies and decision science; paired with its footprint across Harrisburg, Philadelphia, Panama, and Dubai, graduates are positioned for global roles in consumer analytics and organizational decision-making that traditional CS-heavy programs don't prepare.
At the doctoral level, harrisburg University's Master of Science in Analytics is a comprehensive 36-semester hour program that prepares students for the complex, information-intensive world of data science. The program provides depth in analytics during the first year and focused functional study during the second year, applicable to any discipline or interdisciplinary area. Students can choose from multiple concentrations including Consumer Behavior and Decision Science, Cybersecurity, Healthcare Informatics, Pharmaceutical Sciences, and Individualized tracks. The program emphasizes practical application through role-based interaction with information and analytics to enable highly-collaborative, data-driven organizations. Graduates develop expertise in identifying data opportunities, making insightful analyses, measuring dataset quality, working in teams, recognizing ethical issues, and communicating effectively to diverse audiences.
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
- Data Analytics Institute
- Center for Advancement in Research Computing (CARC)
Career Outcomes
Median Salary: $NaN.
Admissions
Acceptance Rate: not specified%. GPA Requirement: not specified. Application Deadline: No application deadline for master's degree applicants.
Requirements: Final official undergraduate transcript(s), Personal goal statement, Resume
Location Advantages: UPMC Health Sciences Tower with 260,000 sq. feet of academic spaceMultiple campus locations including Harrisburg, Philadelphia, Panama, Dubai
Temple University — Philadelphia, PA
Key Distinction: Temple's data analytics programs stand out through their industry-connected opportunities in Center City Philadelphia and customizable curriculum structure that allows students to tailor their education to specific industries and career goals.
Hakia Insight: Temple's Center City Philadelphia location isn't incidental: it provides direct access to Fortune 500 finance and healthcare headquarters where students can secure externships or capstones, turning the region's density into a recruiting advantage most universities outside major metros can't replicate.
At the doctoral level, temple University offers multiple comprehensive data analytics programs across different schools. The Fox School of Business provides a Master of Science in Business Analytics (30 credits) with a customizable curriculum that can be completed full-time or part-time in up to five years. This program focuses on transforming data into business insights through case studies, coursework, and real-world projects with industry partners. Temple also offers a Bachelor of Science in Statistical Science and Data Analytics through Fox, which immerses students in Python, R, SAS, and includes an industry capstone project. The College of Science and Technology houses a Computational Data Science MS program. Additionally, the Lewis Katz School of Medicine operates specialized biostatistics and data science research labs focusing on diabetes care, cancer prevention using machine learning, and healthcare operations analytics.
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
- Rubin Lab
- Lynch Lab
- Lee Lab
Notable Faculty
- Statistical Science Department Faculty — Various statistical and data science specializations
Admissions
GPA Requirement: 3.0. Application Deadline: Fall: Jan. 15, Spring: Nov. 1.
Requirements: bachelor's degree, strong quantitative background for graduate programs
Location Advantages: Center City Philadelphia location provides access to city life and leading organizationsIndustry connections in major metropolitan area
