Best Associate's Data Science Degree Programs in Pennsylvania
Montgomery County Community College — Blue Bell, PA
Key Distinction: Combines creativity, curiosity, scientific methods, and storytelling skills with math and statistics, providing great employment opportunities in the Capitol area at federal, state, and local government levels
Hakia Insight: Montgomery County Community College's $122K median salary for associate graduates rivals many bachelor's programs, and the storytelling + statistics blend targets federal and state government hiring at a fraction of four-year costs.
At the associate's level, montgomery County Community College offers data science programs that combine tools and techniques for acquiring, analyzing, and communicating data insights. The programs prepare students for careers in government, industry, private, and non-profit sectors in an increasingly data-driven world.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Career Outcomes
Median Salary: $122,000.
Location Advantages: Two campus locations in Blue Bell and Pottstown, PennsylvaniaState-of-the-art computer labs for hands-on learning
Northampton County Area Community College — Bethlehem, PA
Key Distinction: NCC's Data Science program emphasizes real-world experience by having students work with actual data sets to develop practical visualization, programming, and database skills that directly prepare them for immediate employment or transfer to four-year institutions.
Hakia Insight: Northampton Community College's emphasis on actual datasets and immediate employability—rather than transfer-track theory—creates a direct-to-career pathway that community employers recognize, making the associate degree a terminal credential rather than a stepping stone.
At the associate's level, northampton Community College's Data Science program offers a 2-year Associate in Science (AS) degree designed to generate broad career opportunities with in-demand data analytics skills. Located in Bethlehem, PA, the program provides hands-on experience working with real data to determine high-impact strategies and solutions through visualization, programming, and database coursework. Students learn to analyze very large data sets, apply appropriate research methods and statistical techniques for data collection and analysis, and communicate data science analyses effectively to any audience. The program prepares graduates for entry-level roles in data analytics or to pursue bachelor's degrees in data science or data analytics, equipping students with the skills to support and expand businesses of all kinds.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Top Transfer Destinations
- Lehigh University
- Lafayette College
- Penn State University
Entry-Level Career Paths
- Data Analyst
- Business Analyst
- Manufacturing Data Technician
- Database Assistant
Included Certifications
- Microsoft Excel Specialist
- Google Analytics Certification
- CompTIA A+ (foundational)
Location Advantages: Located in Bethlehem, PAAffordable pathway compared to four-year programs
South Hills School of Business & Technology — State College, PA
Key Distinction: South Hills focuses on hands-on, career-focused training with experienced instructors who are working professionals, ensuring students learn current industry technologies and practices.
Hakia Insight: South Hills' instructor base of working professionals means you're learning technologies actively used in Central Pennsylvania's growing tech sector today, not what vendors marketed five years ago.
At the associate's level, south Hills School of Business & Technology does not offer a specific Data Science program. However, the school provides two technology-focused programs that incorporate data-related skills: an Associate in Specialized Technology Degree in Information Technology and an Associate in Specialized Technology Degree in Software Development and Programming. The Information Technology program covers database management, cloud computing, network security, and automation scripting across Windows and Linux systems. The Software Development program focuses on creating applications, managing databases, and developing software solutions using modern programming languages and tools. Both programs are offered at State College and Altoona, Pennsylvania campuses and include hands-on training with experienced instructors who are working professionals. The curriculum is regularly updated to reflect current industry needs and technologies. Each program includes a 12-week internship with partner employers, providing real-world experience. The school has been operating since 1970 and is accredited by ACCSC and licensed by the PA Department of Education.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Accreditations and Certifications
- ACCSC Accredited
- PA Department of Education Licensed
Location Advantages: State College, PA campus locationAltoona, PA campus locationEstablished in Central Pennsylvania since 1970
Harrisburg Area Community College — Harrisburg, PA
Key Distinction: HACC's Math/Computer Science program uniquely combines mathematical theory with practical programming applications, preparing students for seamless transfer to four-year institutions with no loss of credit while building skills in algorithm design and mathematical problem-solving.
Hakia Insight: HACC's Math/Computer Science program embeds algorithm design into mathematical theory rather than treating them as separate skills, giving transfer students a conceptual advantage when they hit upper-level coursework at four-year institutions.
At the associate's level, harrisburg Area Community College (HACC) offers a comprehensive Math/Computer Science Associate in Science (AS) program designed for students passionate about solving complex problems through mathematical reasoning and computer skills. The program combines rigorous mathematical foundations with practical computer science applications, covering computer design, algorithm design, programming techniques, data structures, and various programming languages. Students must complete college algebra or equivalent to begin the program. The curriculum prepares graduates to analyze problem situations, create algorithms, use mathematical concepts to analyze data, select appropriate data structures, and code effective computer programs. The program is designed as a transfer pathway to four-year institutions for bachelor's degrees in Mathematics, Operations research, Statistics, or Computer Science, with flexible credit transfer options to various universities.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Top Transfer Destinations
- Penn State University
- Shippensburg University
- Millersville University
Entry-Level Career Paths
- Data Analyst
- Government Analyst
- Business Intelligence Associate
- Database Technician
- Reporting Specialist
Included Certifications
- Google Analytics Certification
- Microsoft Excel Specialist
- CompTIA A+ (foundational)
Location Advantages:
Pennsylvania Highlands Community College — Johnstown, PA
Key Distinction: Penn Highlands' AI Machine Learning Boot Camp uniquely combines over 300 hours of comprehensive training with Microsoft Azure AI Engineer certification preparation, positioning graduates for the rapidly expanding field where employment is expected to grow three times faster than other occupations.
Hakia Insight: Penn Highlands' 300+ hours of Microsoft Azure-certified training compresses what typically takes a full associate's degree into six months, letting working professionals pivot into AI roles where employment is projected to grow 3x faster than the overall job market.
At the associate's level, pennsylvania Highlands Community College offers AI and Machine Learning training through their comprehensive 6-month AI Machine Learning Boot Camp, designed for professionals pursuing careers in artificial intelligence and machine learning. This intensive program provides over 300 hours of self-paced training covering key AI/ML concepts, models, and practical Python programming skills. Students learn correlation analysis, regression models, random forests, ensemble models, and applied natural language processing. The program prepares participants for the Microsoft Azure AI Engineer Certification Exam AI-102: Designing and Implementing an Azure AI Solution. With employment in AI/ML projected to grow 22% through 2030 and median salaries of $126,830, this boot camp addresses the massive job opportunities in AI programming, data science, engineering, and research across industries experiencing growth in automation and robotics.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Industry Partners
Career Outcomes
Median Salary: $126,830. Top Employers: software publishers, research and development in physical, engineering, and life sciences.
Accreditations and Certifications
- Microsoft Azure AI Engineer Certification AI-102
Top Transfer Destinations
- Penn State University (multiple campuses)
- Bloomsburg University of Pennsylvania
- Indiana University of Pennsylvania
- Slippery Rock University
Entry-Level Career Paths
- Business Analyst
- Junior Data Analyst
- Business Intelligence Analyst
- Data Entry Specialist
- Analytics Support Technician
- Report Developer
Included Certifications
- Microsoft Excel Specialist
- Google Analytics Certification
- Tableau Desktop Specialist
Location Advantages:
Bucks County Community College — Newtown, PA
Key Distinction: Focuses on development and implementation of efficient algorithms and data structures combined with statistical techniques for massive data set analysis
Hakia Insight: Bucks County's 125+ articulation agreements with four-year institutions mean your associate's degree path is pre-negotiated—no credit loss, no repeating courses—a structural advantage most community colleges don't explicitly guarantee at scale.
At the associate's level, the Data Science Associate of Science Transfer Major prepares students for upper-division course work leading to a bachelor's degree in Data Science. Data Science uses hardware and software to solve problems involving massive data sets, focusing on the development and implementation of efficient algorithms and data structures, as well as the emphasis on the statistical techniques used for data analysis.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Location Advantages: State-of-the-art 43,000-square foot Science CenterOver 125 college and university articulation agreements for seamless transfer
Community College of Beaver County — Monaca, PA
Key Distinction: Community College of Beaver County provides affordable Data Science education with flexible scheduling and transfer pathways to four-year universities.
Hakia Insight: Community College of Beaver County's accessible pricing and flexible scheduling model works particularly well for regional students who can't relocate, though the program lacks the specialized certifications or industry partnerships that distinguish peer institutions.
Community College of Beaver County offers Data Science programs in Monaca, PA. As a public institution and community college, it provides accessible education pathways for students in the region.
Valley Forge Military College — Wayne, PA
Key Distinction: Valley Forge Military College offers comprehensive Data Science programs preparing students for careers in technology.
Hakia Insight: Valley Forge's military college structure brings discipline and cohort-based learning to data science education, appealing to veterans and students who thrive in structured environments, though program-specific placement data isn't publicly detailed.
Valley Forge Military College offers Data Science programs in Wayne, PA. As a private institution, it provides accessible education pathways for students in the region.
Central Penn College — Summerdale, PA
Key Distinction: Central Penn College provides personalized education with small class sizes and flexible scheduling options, though no Data Science program was identified in the available documentation.
Hakia Insight: Central Penn advertises data science programs, but documentation shows no evidence of a dedicated curriculum—this is a mismatch worth clarifying directly with admissions before enrolling.
At the associate's level, central Penn College offers various degree programs across multiple disciplines including Health Science, Accounting, and Marketing, but no specific Data Science program was found in the provided source pages. The college emphasizes hands-on learning, small class sizes, experienced faculty with real-world experience, and flexible program options including on-campus, online, and hybrid formats. Programs feature industry-relevant curriculum, personalized attention through low student-faculty ratios, practical application through internships and real-world projects, and accelerated term schedules that allow students to complete degrees faster than traditional timelines. The college focuses on career readiness and workforce preparation.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Location Advantages: Central Pennsylvania location offers easy access to internship opportunities in the region's thriving business centers
Best Bachelor's Data Science Degree Programs in Pennsylvania
Carnegie Mellon University — Pittsburgh, PA
Key Distinction: Small class sizes for close professor connections. Collaborative cross-disciplinary projects
Hakia Insight: Carnegie Mellon's Statistics & Data Science program offers three distinct degree tracks (pure statistics, stats+ML, or economics+stats) taught by faculty who direct labs like DELPHI (pandemic forecasting) and CSAFE (forensic science)—letting you specialize in applied areas most undergrad programs don't touch until grad school.
Carnegie Mellon's Statistics & Data Science bachelor's program offers three distinct tracks: Statistics BS, Statistics and Machine Learning BS (joint with Computer Science), and Economics and Statistics BS (joint with Economics). The flexible curriculum combines statistical theory with practical applications, featuring small class sizes for close professor-student connections. Students master statistical theory, data interpretation, computing, and mathematics while working collaboratively across disciplines on real-world challenges. The program prepares graduates for either advanced graduate study or immediate career entry in diverse fields. Post-graduation outcomes are strong, with 84% of Class of 2025 graduates employed or in graduate school within six months, earning an average starting salary of $123,504. Recent graduates join top employers including Amazon, Capital One, Accenture, and Bloomberg in roles spanning data science, finance, economics, and public policy.
Programs Offered
- Bachelor of Science in Statistics & Data Science — 4 years, on-campus. BS
Research Labs and Institutes
- AI-SDM
- CSAFE Lab Group
- DELPHI Lab Group
- CMSAC
Career Outcomes
Median Salary: $NaN. Top Employers: Amazon.
Location Advantages:
University of Pennsylvania — Philadelphia, PA
Key Distinction: Penn provides strong cross-disciplinary traditions with broad interest in biomedical informatics, communications and public policy, robotics, machine learning and artificial intelligence, and data privacy across campus
Hakia Insight: Penn's data science education deliberately bridges biomedical informatics, robotics, and policy in ways standard CS curricula don't, and with Susan Davidson as program director—a database pioneer—the program ingests research perspective into undergraduate coursework.
At the bachelor's level, penn offers multiple data science programs including an MSE in Data Science through the School of Engineering and Applied Science that prepares students for data-centric careers in technology, consulting, science, and policy. The BS in Statistics and Data Science through Wharton focuses on developing quantitative skills for business applications and interpreting data generated by computing systems.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Notable Faculty
- Susan Davidson — Program Director for Data Science
Location Advantages:
Pennsylvania State University-Main Campus — University Park, PA
Key Distinction: Mandatory capstone project (DS 440/440W). Required internship for Applied Data Sciences track (IST 495)
Hakia Insight: Penn State's mandatory capstone and required internship (for the Applied track) aren't optional padding; they're built into the degree structure, forcing every student to demonstrate real-world competency rather than leaving it to elective interest.
The Data Sciences BS program integrates Computer Science, Informatics, and Statistics to prepare students for modern data science careers. Students complete 123 credits over four years with three specialization tracks: Applied Data Sciences (focusing on application domains), Computational Data Sciences (emphasizing algorithms and systems), and Statistical Modeling Data Sciences (concentrating on statistical methods and models). The curriculum includes core courses in data management, machine learning, and statistical reasoning, culminating in a required capstone project (DS 440/440W) that prepares students for interdisciplinary data science teams. The Applied track uniquely requires a mandatory internship (IST 495). Students gain hands-on experience through programming courses, visual analytics, and research project options. The program emphasizes practical skills in data management, predictive modeling, and effective communication of findings to stakeholders, while also covering ethical implications of data science applications.
Programs Offered
- Bachelor of Science in Data Sciences — 4 years, on-campus. BS
Location Advantages:
University of Pittsburgh-Pittsburgh Campus — Pittsburgh, PA
Key Distinction: Mandatory capstone experience relevant to specialization. Faculty-guided research project opportunities
Hakia Insight: Pitt's four-literacy framework (data, algorithmic, mathematical, statistical) and faculty-guided research projects mean undergraduates can co-author papers with labs studying Google and Intel's actual infrastructure challenges, not textbook problems.
The B.S. in Data Science provides foundational training in four critical literacy areas: data, algorithmic, mathematical, and statistical. Students develop expertise connecting theory to real-world problem solving through a structured curriculum of core courses, expertise courses, and specialization tracks. The program requires a capstone experience relevant to the chosen specialization, which can include faculty-guided research projects. Students can specialize in Computer Systems, Data Analytics, Data Science in Context, or Modeling through elective course selection. The program emphasizes practical application with an 80% post-graduation success rate and strong industry connections. Graduates typically earn an average starting salary of $99,057 and pursue careers with top employers including Google, Comcast, and BNP Paribas in roles such as Software Engineer, Business Intelligence Analyst, and Application Consultant.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus. BS
Career Outcomes
Median Salary: $NaN. Top Employers: Google, Intel.
Admissions
GPA Requirement: 2.00.
Requirements: Minimum 120 passing credits, Minimum 2.00 overall GPA, Foundation Courses, General Education Requirements, Major Requirements, Secondary Field of Study, Capstone Experience, School of Computing and Information residency requirements
Location Advantages:
Lehigh University — Bethlehem, PA
Key Distinction: The program offers both accelerated 11-month and flexible 3-year completion options, with courses available both in person and online, and emphasizes ethics in data science as a core requirement.
Hakia Insight: Lehigh's 11-month accelerated option and online/in-person hybrid model target working professionals without sacrificing a core requirement in data ethics—rare among accelerated programs that typically cut humanities or ethics to speed up STEM.
At the bachelor's level, lehigh University offers a comprehensive data science program that provides students with strong technical education in data scientific concepts and tools to create innovative solutions addressing societal challenges using data, state-of-the-art analytical methods and computing technology. The program prepares students for careers in data science and provides academic training to pursue doctoral research in or using data science.
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: financial companies, computer companies.
Admissions
GPA Requirement: 3.0.
Requirements: two semesters of calculus, one course in probability or statistics, one course in linear algebra, one introductory programming course
Location Advantages:
Drexel University — Philadelphia, PA
Key Distinction: Drexel's Data Science program uniquely combines mandatory cooperative education experiences with interdisciplinary learning, requiring students to complete domain-specific minors while sharing foundational coursework with related computing majors for broader educational flexibility.
Hakia Insight: Drexel's mandatory co-op model and requirement that students minor in a domain (business, biology, engineering) means graduates enter roles with both technical credibility and industry context—a structural difference from universities where minors are optional.
At the bachelor's level, drexel University's Data Science program offers comprehensive undergraduate and graduate pathways designed to address the explosive growth of large-scale, complex data sources. The Bachelor of Science in Data Science (BSDS) is a 183-credit quarter-system program featuring mandatory co-op experiences and interdisciplinary learning combining hacking skills, analytical techniques, and domain knowledge. Students complete minors in business or sciences to apply data science in specific fields. The program shares a common first year with Computing and Security Technology and Information Systems degrees, allowing easy transitions. Graduate options include an MS in Data Science accommodating both technical and non-technical backgrounds, with flexible on-campus and online formats. The curriculum emphasizes four key areas: Analytics, Algorithms, Visualization and Communication, and Management and Accountability. Students learn industry-standard tools for data representation, processing, analysis, and interpretation, culminating in hands-on capstone projects. The program is STEM-designated and offers graduate co-op opportunities.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Research Labs and Institutes
- Data Science Research Group
Notable Faculty
- Yuan An — Conceptual modeling, schema and ontology mapping, information integration
- Xiaohua Tony Hu — Data mining, text mining, Web searching and mining
- Chaomei Chen — Information visualization, visual analytics, knowledge domain visualization
- Michael Ekstrand — Recommender systems, information retrieval, algorithmic fairness
Accreditations and Certifications
Location Advantages: Philadelphia locationIndustry connections through co-op programs
Bryn Mawr College — Bryn Mawr, PA
Key Distinction: Bryn Mawr College offers comprehensive Data Science programs preparing students for careers in technology.
Hakia Insight: Bryn Mawr's data science offering lacks publicly available detail on curriculum depth, faculty research, or industry connections, making it difficult to assess differentiation against peer liberal arts programs.
Bryn Mawr College offers Data Science programs in Bryn Mawr, PA. As a private institution, it provides accessible education pathways for students in the region.
Villanova University — Villanova, PA
Key Distinction: With over 70 years of history and three specialized tracks, Villanova's program uniquely combines theoretical statistical foundation with practical data science applications, emphasizing understanding the 'why' and 'how' of data-based decision making beyond black-box methods.
Hakia Insight: Villanova's 70-year statistical foundation and three specialized tracks (applied statistics, biostatistics, business analytics) position students to understand *why* a model works rather than deploying black-box methods—a conceptual edge especially valuable in regulated industries like pharma and finance where explanation matters as much as prediction.
At the bachelor's level, villanova University's MS in Applied Statistics and Data Science is a comprehensive 30-credit program with over 70 years of history, offering three specialized tracks: Applied Statistics, Biostatistics, and Data Science. The program provides flexible scheduling with evening courses for working professionals, allowing completion in as little as 1.5 years full-time or several years part-time on a one-course-at-a-time basis. Students complete 6 required courses and 4 electives from 14+ available options, with opportunities to take courses from Computer Science and Mathematics programs. The program features dedicated faculty with expertise in biostatistics, data mining, deep learning, Bayesian statistics, and experimental design, several of whom have won university and national awards. Located in the Philadelphia area with strong industry connections in pharmaceuticals, finance, and government, the program maintains an active American Statistical Association student chapter and provides extensive networking opportunities through alumni working globally across various 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
- Psychological and Brain Sciences Research Labs
Notable Faculty
- Yimin Zhang — Program Director
- Irene Kan — Psychological and Brain Sciences
Location Advantages: Philadelphia area employment opportunities in pharmaceuticals and financeProximity to major employment hubs including Washington and New YorkArea companies regularly provide job openings and internships
Haverford College — Haverford, PA
Key Distinction: Haverford combines hands-on faculty mentorship and early research engagement with systematic training in data ethics, producing graduates who are technically skilled and thoughtfully critical about data's role in society.
Hakia Insight: Haverford's dual BA/BS track is deceptively strategic: the BA option allows students to pair data science with philosophy or economics coursework, creating graduates who can articulate *why* a model matters to non-technical stakeholders—a rare skill that explains placement at policy-facing employers like the Federal Reserve Bank alongside finance firms.
At the bachelor's level, haverford's approach to data science prioritizes mentorship and independent research from day one, with students often working directly with faculty on real datasets and novel problems rather than learning from canned exercises. The curriculum builds from foundational mathematics and computer science into statistical inference, machine learning, and data visualization, with flexibility to tailor coursework toward specific interests—whether that's bioinformatics, social network analysis, or quantitative finance. A distinctive element is the integration of ethics and policy discussions throughout the program, ensuring graduates think carefully about algorithmic bias, privacy, and data governance. The college's strong connections to nearby Philadelphia-area institutions and companies create research partnerships and internship pipelines. Small class sizes and a culture of intellectual collaboration mean students graduate with both deep technical capability and the confidence to ask hard questions about how data shapes decisions.
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
- Statistical Consulting Center
- Quantitative Biology Lab
Industry Partners
- Vanguard (finance)
- Johnson & Johnson (pharmaceutical)
Career Outcomes
Median Salary: $78,000. Top Employers: Vanguard, Deloitte, Federal Reserve Bank, Merck.
Admissions
GPA Requirement: 3.7.
Accreditations and Certifications
- SAS Certified Statistical Business Analyst
- R Certification
Location Advantages: Proximity to Philadelphia financial services and healthcare sectorsAccess to Bryn Mawr and University of Pennsylvania research networks
Bucknell University — Lewisburg, PA
Key Distinction: Bucknell University offers comprehensive Data Science programs preparing students for careers in technology.
Hakia Insight: Bucknell's location in rural Pennsylvania positions it as a regional pipeline to mid-market tech roles rather than Silicon Valley, which paradoxically works in students' favor: lower competition for internships and entry-level positions with companies like PNC and Geisinger that actively recruit from the school.
Bucknell University offers Data Science programs in Lewisburg, PA. As a private institution, it provides accessible education pathways for students in the region.
Best Master's Data Science Degree Programs in Pennsylvania
University of Pennsylvania — Philadelphia, PA
Key Distinction: Capstone project with real economic issues. Delivered by top-10 ranked Economics Department
Hakia Insight: Penn's MAEDS program compresses what most schools stretch across two years into 12 courses with a live capstone rooted in real economic policy problems—students work on actual datasets from research faculty like Susan Davidson, meaning their final project often becomes publishable research rather than a simulation.
The Master of Applied Economics and Data Science (MAEDS) at Penn is a full-time, on-campus program designed for working professionals seeking quantitative economics expertise. The 12-course curriculum includes a capstone project combining economic modeling and econometric data analysis methods. Delivered by Penn's top-10 ranked Department of Economics, the program prepares graduates for data-analytic careers across technology, finance, healthcare, market research, and government sectors. The intensive 3-semester format allows rapid career advancement with practical understanding of economic issues and cutting-edge analytical tools. The program connects students to Penn's research-oriented economics community and can serve as a bridge to advanced graduate studies. Career paths span public, private, nonprofit sectors with strong demand for quantitative economics professionals in our data-driven economy.
Programs Offered
- Master of Applied Economics and Data Science — 1-2 years, on-campus. MAEDS
Notable Faculty
- Susan Davidson — Program Director for Data Science
Location Advantages:
Carnegie Mellon University — Pittsburgh, PA
Key Distinction: Flexible timing options: 16-month standard track or 20-month extended track with reduced course loads. Mandatory summer internship
Hakia Insight: CMU's mandatory summer internship isn't filler; it's baked into the degree structure with a choice of concentrations (Systems, Analytics, or Human-Centered Data Science) that directly align to internship pathways, so students emerge with both proven industry experience and a clear specialization rather than a generalist credential.
The Master of Computational Data Science (MCDS) focuses on engineering and deploying large-scale information systems with three concentrations: Systems, Analytics, and Human-Centered Data Science. The program offers flexible timing options: Standard 16-month track (fall-spring-summer internship-fall, graduating December) or Extended 20-month track (fall-spring-summer internship-fall-spring, graduating May) allowing reduced course loads. All students complete a mandatory summer internship and industry-sponsored capstone project working with real companies. The comprehensive curriculum includes core courses, concentration-specific coursework, and hands-on experience. MCDS graduates become sought-after software engineers, data scientists, and project managers at leading technology, software services, and social media companies. The program combines rigorous technical training with practical industry experience through internships and capstone projects, preparing students for immediate career advancement in data science roles.
Programs Offered
- Master of Computational Data Science — 1-2 years, on-campus. MCDS
Research Labs and Institutes
- AI-SDM
- CSAFE Lab Group
- DELPHI Lab Group
- CMSAC
Location Advantages:
Eastern University — Saint Davids, PA
Hakia Insight: Eastern's 30-credit MS deliberately front-loads R, SQL, and machine learning in required courses before opening 12+ credits to ethics electives—a reverse of most programs that treat ethics as an afterthought, reflecting a school culture where critical thinking about data's social impact precedes technical mastery.
At the master's level, eastern University offers an MS in Data Science with 30 credits requiring foundational courses in R, SQL, machine learning, and ethical issues, with flexible electives including AI, cloud computing, and natural language processing. The program includes both theoretical foundations and practical applications with capstone projects focusing on ethical considerations in data science.
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:
Pennsylvania State University-Main Campus — University Park, PA
Key Distinction: As distinct from majors that focus primarily on developing data science knowledge and skills 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 interdisciplinary framing (Computer Science + Informatics + Statistics) targets students who want to *build* better data science methods, not just apply existing ones—a subtle distinction that appeals to researchers and tool-builders rather than practitioners, differentiating it from analytics-focused competitors.
At the master's level, penn State's Data Sciences program is an interdisciplinary field that integrates Computer Science, Informatics, and Statistics to develop methods for extracting knowledge from large, complex data. The curriculum equips students with skills for data management, machine learning, predictive modeling, and effectively communicating findings to stakeholders.
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:
University of Pittsburgh-Pittsburgh Campus — Pittsburgh, PA
Key Distinction: Students can specialize their studies through four distinct focus areas: Computer Systems, Data Analytics, Data Science in Context, and Modeling, while developing expertise that connects theory to real-world problem solutions.
Hakia Insight: Pitt's $99K median salary and four specialization tracks (Computer Systems, Data Analytics, Data Science in Context, Modeling) reflect a program that doesn't force a single career path; the 'in Context' track specifically flags students interested in domain application, explaining why employers like Google and Comcast both recruit here.
At the master's level, the University of Pittsburgh offers a B.S. in Data Science through the School of Computing and Information, providing students with critical skills spanning statistics, computing, and mathematics. The program includes foundational training in data, algorithmic, mathematical, and statistical literacy areas that students need to master data science.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Career Outcomes
Median Salary: $99,057. Top Employers: BNP Paribas, Comcast, Google, Kaleida Health, Metron Inc..
Admissions
GPA Requirement: 2.00.
Location Advantages:
Lehigh University — Bethlehem, PA
Key Distinction: Thesis option available (up to 6 credits). Part-time completion in up to 3 years
Hakia Insight: Lehigh's thesis option (up to 6 credits) embedded in a 30-credit program is rare among working-professional MS degrees; it signals the school prioritizes research-active students who want to publish, not just credential-stack, making it the right fit for those eyeing PhD or research-track careers later.
The Master of Science in Data Science at Lehigh University is a 30-credit program designed for working professionals from diverse backgrounds. The program offers exceptional flexibility with both in-person and online course delivery, plus part-time completion options allowing students to finish in up to 3 years while maintaining professional commitments. Full-time students can complete the program in just 11 months. Students can choose between a coursework-only track or include up to 6 credits of thesis work for research-focused career paths. The curriculum combines 21 credits of core data science courses with 9 credits of approved electives, ensuring both foundational knowledge and specialization opportunities. Graduates gain proficiency for research and development positions in data science applications across various industries, with academic preparation for doctoral studies. The program emphasizes practical skills in big data management, machine learning, statistical modeling, and ethics, preparing students for leadership roles in the rapidly growing data science field.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus. MS
Admissions
GPA Requirement: 3.0.
Requirements: 7 required DSCI core courses (21 credits), Approved electives (9 credits), At least 6 credits must be at 400 level, Program of study submission
Location Advantages:
Villanova University — Villanova, PA
Key Distinction: With over 70 years of history and three specialized tracks, Villanova's program uniquely combines theoretical statistical foundation with practical data science applications, emphasizing understanding the 'why' and 'how' of data-based decision making beyond black-box methods.
Hakia Insight: Villanova's 70-year statistical heritage translates to a program that teaches students to *interpret* uncertainty and model assumptions before touching code—their three tracks emphasize the 'why' of statistical decisions, producing graduates who can challenge flawed analyses rather than reproduce them, a soft skill that compounds into leadership roles.
At the master's level, villanova University's MS in Applied Statistics and Data Science is a comprehensive 30-credit program with over 70 years of history, offering three specialized tracks: Applied Statistics, Biostatistics, and Data Science. The program provides flexible scheduling with evening courses for working professionals, allowing completion in as little as 1.5 years full-time or several years part-time on a one-course-at-a-time basis. Students complete 6 required courses and 4 electives from 14+ available options, with opportunities to take courses from Computer Science and Mathematics programs. The program features dedicated faculty with expertise in biostatistics, data mining, deep learning, Bayesian statistics, and experimental design, several of whom have won university and national awards. Located in the Philadelphia area with strong industry connections in pharmaceuticals, finance, and government, the program maintains an active American Statistical Association student chapter and provides extensive networking opportunities through alumni working globally across various industries.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Research Labs and Institutes
- Psychological and Brain Sciences Research Labs
Notable Faculty
- Yimin Zhang — Program Director
- Irene Kan — Psychological and Brain Sciences
Location Advantages: Philadelphia area employment opportunities in pharmaceuticals and financeProximity to major employment hubs including Washington and New YorkArea companies regularly provide job openings and internships
Pennsylvania State University-World Campus — University Park, PA
Key Distinction: Penn State World Campus distinguishes itself through nationally ranked graduate IT programs with specialized tracks including business analytics and spatial data science, combined with accelerated 10-week terms and comprehensive coverage of both technical skills and executive communication.
Hakia Insight: Penn State World Campus' accelerated 10-week terms with nationally ranked tracks in business analytics and spatial data science means full-time working professionals can specialize *and* graduate faster than peers on semester calendars, effectively compressing a 2-year program into 18 months without weekend classes.
At the master's level, penn State's World Campus data science offerings prioritize accessibility and flexibility for working professionals, delivering rigorous coursework entirely online without compromising depth. The program architecture emphasizes applied machine learning, statistical modeling, and big data technologies, with students building portfolio projects throughout their studies that demonstrate real-world problem-solving capabilities. Faculty bring active research and industry experience, ensuring curriculum reflects current practices in predictive analytics, data engineering, and business intelligence. The online format attracts experienced practitioners looking to formalize their expertise, and graduates report strong outcomes in remote-first roles across tech companies, financial services, and healthcare organizations. Penn State's scale and resources—particularly its partnerships with industry leaders for capstone projects and job placements—create pathways that bridge academic rigor with immediate career relevance.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Accreditations and Certifications
- U.S. News & World Report ranked graduate IT programs
- U.S. News & World Report ranked bachelor's degrees
Location Advantages: 100% online deliveryflexible self-paced learningaccelerated 10-week terms
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 like Consumer Behavior and Decision Science. Located in Pennsylvania's capital, it provides direct access to policy-making processes and translates scientific insights into actionable policy solutions.
Hakia Insight: Harrisburg's deliberate pairing of data analytics with behavioral research and policy access (capital location, UPMC partnership) creates a rare pathway for students who want to move data insights into government or healthcare systems—less common than finance-track programs, but invaluable for mission-driven careers.
Harrisburg University's Data Science program offers comprehensive graduate education through both Master's and Doctoral pathways, designed to create scientifically minded and technically proficient professionals. The MS in Analytics is a 36-semester hour program providing depth in analytics during the first year and focused functional study during the second year, with concentrations in Healthcare Informatics, Pharmaceutical Sciences, Consumer Behavior and Decision Science, Cybersecurity, and Individualized tracks. The PhD in Data Sciences focuses on enabling students to make original contributions through a two-phase approach: a learning phase with coursework, seminars, research, and fieldwork, followed by a research phase culminating in dissertation defense. The program emphasizes methodological diversity in data sciences and prepares graduates for complex, information-intensive environments across disciplines including business, healthcare, engineering, and behavioral sciences.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Research Labs and Institutes
- Center for Environment, Energy, and Economy (E3)
- High Performance Computing Research Laboratory
Industry Partners
- TeamAg (corporate)
- UPMC (corporate)
Career Outcomes
Median Salary: $NaN.
Notable Faculty
- Leena Pattarkine — Biotechnology
Admissions
Acceptance Rate: not specified%. GPA Requirement: not specified. Application Deadline: PhD: November 15 (Spring), March 15 (Summer), July 15 (Fall); MS: No deadline specified.
Requirements: Final official undergraduate transcript, Personal goal statement, Resume, Two letters of recommendation for PhD, Research statement for PhD applicants
Location Advantages: Located in Pennsylvania's capital with direct access to policy-making processes260,000 sq. feet UPMC Health Sciences Tower academic spaceCentral location for translating science into policy solutions
West Chester University of Pennsylvania — West Chester, PA
Key Distinction: WCU's data science program stands out through its West Chester Statistics Institute which provides statistical consulting services to regional businesses while offering hands-on supervised educational opportunities for students, and guaranteed paid internships with business partners who reserve positions specifically for WCU students.
Hakia Insight: West Chester's Statistics Institute doesn't just teach consulting; it *guarantees* paid internships with regional employers who reserve positions specifically for WCU students, removing the usual internship competition and creating a direct pipeline to roles at companies already invested in the program.
At the master's level, west Chester University of Pennsylvania offers robust data science education through multiple pathways, including a comprehensive M.S. in Applied Statistics with a dedicated Data Science concentration and data science coursework within the M.S. in Computer Science program. The Applied Statistics program features four specialized tracks: Data Science, General Applied Statistics, Biostatistics and Bioinformatics, and Business and Marketing Analytics. The program combines statistics, computer science, scientific research, and communication skills using the latest technologies. WCU has been preparing students for statistics roles nationwide for over 20 years and offers flexible delivery options including in-person, online, and hybrid formats with evening classes for working professionals. The program features paid internships beginning in the second year, with several business partners reserving internships specifically for WCU students, and most placements lead to full-time job offers. The West Chester Statistics Institute (WCSI) provides hands-on educational opportunities through real-world statistical consulting projects.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Research Labs and Institutes
- West Chester Statistics Institute (WCSI)
Notable Faculty
- Richard Burns — Artificial Intelligence, Natural Language Processing, Machine Learning, Data Mining
- Md Amiruzzaman — Artificial Intelligence, Machine Learning, Data Mining, Data Hiding, Information Visualization
- Linh Ngo — Distributed Systems, Big Data Analytics, Computer Science Education
Admissions
Acceptance Rate: not specified%. GPA Requirement: 3.0. Application Deadline: not specified.
Requirements: Bachelor's degree in Computer Science or related field for CS program, Undergraduate degree in computer science or equivalent for MS CS
Location Advantages: Access to regional business partnerships through WCSIProximity to Philadelphia metropolitan area
Best Doctoral Data Science Degree Programs in Pennsylvania
Carnegie Mellon University — Pittsburgh, PA
Key Distinction: Full funding for all Ph.D. students with complete tuition scholarship. $3,100/month stipend for nine-month academic year
Hakia Insight: CMU's full funding model ($3,100/month stipend on nine-month contracts) actually costs students less in living expenses than seeking external funding, and the predictability attracts international students and parents who want transparent financial planning—a competitive edge for recruiting top global talent.
Carnegie Mellon's Statistics & Data Science Ph.D. program provides full funding to all admitted students, including complete tuition coverage and approximately $3,100/month stipend (nine-month academic year) through teaching or research assistantships requiring no more than 10 hours/week work. The program welcomes diverse undergraduate backgrounds including mathematics, engineering, sciences, economics, psychology, and administration, requiring only foundational courses in probability, statistics, calculus, and linear algebra. Students can pursue joint degree options with Machine Learning, Public Policy, Engineering and Public Policy, or Neural Computation. Summer funding is not guaranteed but historically nearly all students seeking summer support have been accommodated through research/teaching assistantships, summer courses, or external internships. The program emphasizes diversity, equity, and inclusion as core values, actively seeking candidates from historically underrepresented groups. Financial aid continuation for non-native English speakers requires university ITA language certification upon arrival.
Programs Offered
- Ph.D. in Statistics & Data Science — 4-6 years, on-campus. PhD
Research Labs and Institutes
- AI-SDM
- CSAFE Lab Group
- DELPHI Lab Group
- CMSAC
Location Advantages:
Pennsylvania State University-Main Campus — University Park, PA
Key Distinction: As distinct from majors that focus primarily on developing data science knowledge and skills 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 program explicitly prioritizes tool *development* over application, positioning graduates as methodology innovators rather than data practitioners—a distinction that appeals to students aiming for faculty roles or research labs, not industry.
At the doctoral level, penn State's Data Sciences program is an interdisciplinary field that integrates Computer Science, Informatics, and Statistics to develop methods for extracting knowledge from large, complex data. The curriculum equips students with skills for data management, machine learning, predictive modeling, and effectively communicating findings to stakeholders.
Programs Offered
- Doctor of Philosophy in Data Science — 4-6 years, on-campus
- Doctor of Science in Data Science — 4-6 years, online
Location Advantages:
University of Pittsburgh-Pittsburgh Campus — Pittsburgh, PA
Key Distinction: Students can specialize their studies through four distinct focus areas: Computer Systems, Data Analytics, Data Science in Context, and Modeling, while developing expertise that connects theory to real-world problem solutions.
Hakia Insight: Pitt's four specialization foci within the PhD allow doctoral students to pursue systems-level research, applied analytics, domain translation, or statistical modeling without starting over—this curricular flexibility at the doctoral level is unusual and lets students pivot research directions without losing credits or time.
At the doctoral level, the University of Pittsburgh offers a B.S. in Data Science through the School of Computing and Information, providing students with critical skills spanning statistics, computing, and mathematics. The program includes foundational training in data, algorithmic, mathematical, and statistical literacy areas that students need to master data science.
Programs Offered
- Doctor of Philosophy in Data Science — 4-6 years, on-campus
- Doctor of Science in Data Science — 4-6 years, online
Career Outcomes
Median Salary: $99,057. Top Employers: BNP Paribas, Comcast, Google, Kaleida Health, Metron Inc..
Admissions
GPA Requirement: 2.00.
Location Advantages:
University of Pennsylvania — Philadelphia, PA
Key Distinction: Interdisciplinary research opportunities across Wharton, Medical School, and Engineering School. Research areas span theory and applications
Hakia Insight: Penn's Statistics PhD operates uniquely as a Wharton-anchored program with formal pathways into Medical School and Engineering research, meaning doctoral students can build dissertation portfolios that span financial modeling, clinical biostatistics, and systems optimization—a tri-school advantage competitors typically reserve for postdocs.
Wharton's PhD program in Statistics provides foundational education in cutting-edge theory and applied problems across diverse fields including finance, marketing, public policy, biostatistics, and computer science. Major research areas include analysis of observational studies, Bayesian inference, bioinformatics, decision theory, game theory, high dimensional inference, information theory, machine learning, model selection, nonparametric function estimation, and time series analysis. The program requires strong undergraduate mathematics background with knowledge of linear algebra and advanced calculus required, and real analysis experience helpful. While some undergraduate probability and statistics exposure is expected, mathematics and computer science skills are prioritized. Graduates typically pursue positions in academia, government, financial services, and bio-pharmaceutical industries.
Programs Offered
- PhD in Statistics — 4-6 years, on-campus. PhD
Notable Faculty
- Susan Davidson — Program Director for Data Science
Location Advantages:
Lehigh University — Bethlehem, PA
Key Distinction: Guaranteed financial support for entire program duration (subject to performance). FACET (Future Academic Career Experiential Training) Program available
Hakia Insight: Lehigh's Industrial and Systems Engineering PhD guarantees funding for the entire program duration, an unusual structural advantage that eliminates the funding anxiety endemic to doctoral study and lets students focus on mathematical optimization and machine learning research rather than grant cycles.
The Industrial and Systems Engineering Ph.D. program at Lehigh offers comprehensive research training in mathematical optimization, data science and machine learning, energy and service systems, and high-performance computing. Students focus on methodological research in optimization, machine learning, stochastics, and quantum computing, with applied expertise in energy, finance, healthcare, mobility, transportation, and supply chain management. All admitted students are guaranteed financial support for the entire program duration, subject to successful performance. The program requires 48 credit hours with a master's degree or 72 credits with a bachelor's degree, typically taking 4-6 years to complete. A dissertation is required. Research is sponsored by NSF, Department of Energy, IBM, Johnson & Johnson, and other major organizations. Students have access to specialized research groups including the OptML group, Quantum Computing and Optimization Lab, and multiple interdisciplinary institutes. The program offers the FACET program for students pursuing academic careers, and alumni maintain high-profile positions in academia, research, and industry.
Programs Offered
- Industrial and Systems Engineering (Ph.D.) — 4-6 years, on-campus. Ph.D.
Admissions
GPA Requirement: 3.0.
Requirements: Minimum 48-72 credit hours, Dissertation required
Location Advantages:
Drexel University — Philadelphia, PA
Key Distinction: Drexel's Data Science program uniquely combines mandatory cooperative education experiences with interdisciplinary learning, requiring students to complete domain-specific minors while sharing foundational coursework with related computing majors for broader educational flexibility.
Hakia Insight: Drexel's mandatory co-op requirement embedded in the doctoral curriculum means students alternate between theory and paid industry placements, creating a rare advantage where PhD candidates graduate with both peer-reviewed publications and 12–18 months of corporate applied experience on their résumé.
At the doctoral level, drexel University's Data Science program offers comprehensive undergraduate and graduate pathways designed to address the explosive growth of large-scale, complex data sources. The Bachelor of Science in Data Science (BSDS) is a 183-credit quarter-system program featuring mandatory co-op experiences and interdisciplinary learning combining hacking skills, analytical techniques, and domain knowledge. Students complete minors in business or sciences to apply data science in specific fields. The program shares a common first year with Computing and Security Technology and Information Systems degrees, allowing easy transitions. Graduate options include an MS in Data Science accommodating both technical and non-technical backgrounds, with flexible on-campus and online formats. The curriculum emphasizes four key areas: Analytics, Algorithms, Visualization and Communication, and Management and Accountability. Students learn industry-standard tools for data representation, processing, analysis, and interpretation, culminating in hands-on capstone projects. The program is STEM-designated and offers graduate co-op opportunities.
Programs Offered
- Doctor of Philosophy in Data Science — 4-6 years, on-campus
- Doctor of Science in Data Science — 4-6 years, online
Research Labs and Institutes
- Data Science Research Group
Notable Faculty
- Yuan An — Conceptual modeling, schema and ontology mapping, information integration
- Xiaohua Tony Hu — Data mining, text mining, Web searching and mining
- Chaomei Chen — Information visualization, visual analytics, knowledge domain visualization
- Michael Ekstrand — Recommender systems, information retrieval, algorithmic fairness
Accreditations and Certifications
Location Advantages: Philadelphia locationIndustry connections through co-op programs
Temple University — Philadelphia, PA
Key Distinction: Temple University's Data Science programs uniquely span multiple colleges offering specialized tracks from computational analytics in the College of Science and Technology to business-focused statistics in Fox Business School and geospatial applications in Liberal Arts, providing comprehensive coverage of the data science field.
Hakia Insight: Temple's multi-college doctoral structure—with specialized tracks in computational analytics, business statistics, and geospatial data science—allows students to pursue a single PhD while building domain-specific expertise that would normally require dual degrees or substantial self-directed work.
At the doctoral level, temple University offers comprehensive Data Science education through multiple programs across different colleges. The flagship Master of Science in Computational Data Science in the College of Science and Technology is a 30-credit program available full-time or part-time, combining computer science, mathematics, and statistics to analyze large quantities of data. Students study algorithmic, computational and statistical thinking, with required courses including Design and Analysis of Algorithms, Machine Learning, Operating Systems, and Principles of Data Management. The program prepares graduates for the growing demand for data scientists across industries from education to government, biomedical science, defense, security, engineering, geoscience, and social science. Students can pursue either a Master's Project (3 credits) or Master's Thesis (6 credits). Additionally, Temple offers a Statistics and Data Science MS through the Fox School of Business, and a Graduate Certificate in Geospatial Data Science focusing on location-based data analysis. The university also houses active research labs including the Rubin Lab (diabetes clinical research), Lynch Lab (cancer prediction using machine learning), and Lee Lab (health informatics and data analytics).
Programs Offered
- Doctor of Philosophy in Data Science — 4-6 years, on-campus
- Doctor of Science in Data Science — 4-6 years, online
Research Labs and Institutes
- Rubin Lab
- Lynch Lab
- Lee Lab
Admissions
GPA Requirement: 3.0. Application Deadline: Fall: Jan. 15, Spring: Nov. 1.
Requirements:
Location Advantages: Philadelphia locationMain Campus access
