Best Bachelor's Data Analytics Degree Programs in Maryland
University of Maryland-College Park — College Park, MD
Key Distinction: Hands-on learning with 400+ industry partners. Projects and research opportunities at world-renowned research centers and labs
Hakia Insight: UMD-College Park's 400+ industry partnerships concentrate heavily in the Washington D.C. metro region where Google, Amazon, and Microsoft maintain major offices, meaning students don't just access internships but can build networks in one of North America's fastest-growing tech hubs while completing their degree.
The Bachelor of Science in Information Science at University of Maryland-College Park is a 4-year, 120-credit program that blends theory, practical skills, and hands-on learning with 400+ industry partners. Students gain technical expertise in database design, information architecture, web/mobile development, data analytics, and cybersecurity, combined with coursework in social sciences, leadership, and humanities. The curriculum includes 40 credits of general education, 45 credits in the Information Science major (10 core courses plus 15 credits of upper-level electives), and 35 credits of electives. Students engage in real-world projects with UMD's world-renowned research centers and labs. InfoSci graduates pursue careers in data science and analytics, database administration, UX/UI design, cybersecurity, web development, and systems architecture at organizations including IBM, Google, the Library of Congress, CIA, and the Smithsonian.
Programs Offered
- Bachelor of Science in Information Science — 4 years, on-campus. BS
Research Labs and Institutes
- Center for Machine Learning
- Maryland Applied Economics Laboratory
Industry Partners
- Amazon (corporate)
- Microsoft (corporate)
- Google (corporate)
- Deloitte (corporate)
- U.S. Census Bureau (government)
Career Outcomes
Top Employers: IBM, Google.
Notable Faculty
- Marina Meila — Machine learning, clustering algorithms, statistical data analysis
Location Advantages: Washington D.C. metro region with major tech company offices (Google, Amazon, Microsoft), federal agencies, and consulting firms; strong recruitment pipeline
University of Maryland-Baltimore County — Baltimore, MD
Key Distinction: UMBC's data analytics program leverages its Baltimore-Washington location and deep ties to federal agencies and contractors to deliver industry-aligned training with exceptional job placement in government and defense sectors.
Hakia Insight: UMBC's proximity to Fort Meade and deep embedded relationships with NSA, NIST, and defense contractors like Booz Allen Hamilton create a pipeline to federal sector careers that most data analytics programs can't replicate—students graduate with security clearance-eligible networks already in place.
At the bachelor's level, UMBC's data analytics program distinguishes itself through deep integration with the university's considerable strength in computer science and information systems, particularly leveraging the school's historical excellence in cybersecurity and data-driven research. The curriculum emphasizes practical, project-based learning with substantial hands-on components—students work with real datasets and modern analytics tools from early on rather than abstract theory. What sets UMBC apart is its proximity to the Baltimore-Washington corridor's robust federal contractor and tech ecosystem; partnerships with organizations like the National Security Agency, NIST, and major defense contractors create pipeline opportunities and ensure coursework stays aligned with industry demand. The program offers flexibility through multiple pathway options, accommodating both students seeking immediate employment and those preparing for research-oriented careers. Faculty bring strong credentials in machine learning, data mining, and statistical modeling, many with active research portfolios. UMBC graduates report strong placement rates in data roles across government, finance, and technology sectors, with employers particularly valuing their technical depth and ability to work on complex, security-conscious projects. The Honors College option allows top students to deepen their analytics expertise with advanced seminars and independent research. For students who value a program where theory meets immediate applicability—and who benefit from geographic proximity to major employers—UMBC provides a strategic launching point.
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 Cybersecurity
- National Center for Data Curation
Industry Partners
- National Security Agency (government)
- NIST (government)
- Northrop Grumman (corporate)
- Booz Allen Hamilton (corporate)
Notable Faculty
- null — Machine learning and statistical modeling
Accreditations and Certifications
- ABET accredited (Computer Science programs)
Location Advantages: Proximity to National Security Agency (Fort Meade)Access to major federal contractors (Booz Allen Hamilton, Northrop Grumman, etc.)Baltimore-Washington tech corridor with growing startup ecosystemGovernment agency internship and employment opportunities
Loyola University Maryland — Baltimore, MD
Hakia Insight: Loyola University Maryland's data analytics program benefits from Baltimore's position as a major biomedical research hub, offering students proximity to Johns Hopkins, University of Maryland Medical Center, and the NIH—ecosystems where analytics talent commands premium starting salaries.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Location Advantages:
Salisbury University — Salisbury, MD
Key Distinction: A STEM-focused program that combines rigorous statistical training with embedded applied research and strong regional employer connections.
Hakia Insight: Salisbury University's Delmarva Peninsula location connects students to niche but high-value industries—healthcare networks, precision agriculture technology, and logistics optimization—where specialized domain knowledge combined with analytics skills creates less competitive hiring environments.
At the bachelor's level, salisbury University's data analytics program leverages the institution's strong engineering and business schools to create a technically rigorous curriculum with clear career pathways. The program focuses on statistical modeling, data mining, and visualization while maintaining flexibility for students to specialize in areas like healthcare analytics or business intelligence depending on their interests. What sets Salisbury apart is its commitment to applied research—students work on real datasets from regional employers, including healthcare networks and logistics companies across the Delmarva Peninsula. The faculty blend academic training with industry experience, bringing contemporary challenges into the classroom. Graduates benefit from Salisbury's established alumni network in the Mid-Atlantic, with many moving into analyst and engineering roles at organizations that actively recruit from the university.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Location Advantages: Delmarva Peninsula location with connections to healthcare, agriculture, and logistics industries
Best Master's Data Analytics Degree Programs in Maryland
Johns Hopkins University — Baltimore, MD
Key Distinction: Flexible part-time schedule allowing full-time working professionals to complete degree in two years. Primarily online delivery with option for on-campus electives in Washington, D.C. area
Hakia Insight: Johns Hopkins' Master of Data Analytics and Policy explicitly pairs technical training with policy application through faculty like Donald Geman and Carey Priebe, and its part-time structure actually enables students to apply coursework directly to their current roles in real time rather than theoretically.
The Master of Science in Data Analytics and Policy at Johns Hopkins University prepares working professionals to leverage analytics for policy challenges across government, research, and private sectors. The 12-course, 36-credit program offers flexible scheduling with many students completing the degree part-time in two years while working full-time. Delivered primarily online with optional on-campus electives in the Washington, D.C. area, the program combines six required core courses in statistics, programming, data visualization, and machine learning with six electives. Students may pursue optional concentrations in Statistical Analysis, Public Management, Political Behavior and Policy Analysis, or Geospatial Analysis. The curriculum emphasizes practical application through a capstone project, preparing graduates for data-driven leadership roles in policy analytics.
Programs Offered
- Master of Science in Data Analytics and Policy — 1-2 years, on-campus. MS
Research Labs and Institutes
- Center for Computational Biology
- Institute for Assured Autonomy
Industry Partners
- Roche (corporate)
- Novartis (corporate)
- Johnson & Johnson (corporate)
- NIH (government)
- FDA (government)
Notable Faculty
- Donald Geman — Statistical machine learning, computational biology, image analysis
- Carey Priebe — Statistical inference for networks, machine learning
Location Advantages: Baltimore's biomedical and healthcare sector; proximity to NIH, major pharmaceutical companies, and academic medical centers; strong pharma/biotech recruitment presence
University of Maryland-College Park — College Park, MD
Key Distinction: STEM-certified degree. Flexible completion: as quickly as 2 years full-time or part-time enrollment available
Hakia Insight: UMD's Master of Information Management is STEM-certified and completable in as little as 2 years full-time, a credential that not only qualifies for OPT extensions (critical for international students) but also signals to employers like Amazon and Google that the program meets their technical hiring standards.
The Master of Information Management (MIM) at University of Maryland is a 36-credit, STEM-certified program designed for working professionals seeking rapid career advancement in data science, analytics, or cybersecurity. Students complete the degree in as little as two years or pursue part-time enrollment with flexible scheduling including evening and online options. The program offers three tracks: Data Science & Analytics, Cybersecurity & Risk Management, and a flexible Individual Program Plan. All students complete 12 credits of core courses covering technology, information, and management foundations, then select 24 credits of electives tailored to their specialization. MIM graduates work at top organizations including Google, Amazon, Microsoft, JPMorgan Chase, and the U.S. Department of Defense, with mid-career salaries ranging from $98K–$150K depending on role (Data Scientists: $122K, Data Engineers: $127K, Product Managers: $150K). The program emphasizes hands-on learning through industry partnerships throughout the Baltimore-Washington DC region, providing real-world application experience and professional networking opportunities within a cohort-based learning model.
Programs Offered
- Master of Information Management (MIM) — 1-2 years, on-campus. MS
Research Labs and Institutes
- Center for Machine Learning
- Maryland Applied Economics Laboratory
Industry Partners
- Amazon (corporate)
- Microsoft (corporate)
- Google (corporate)
- Deloitte (corporate)
- U.S. Census Bureau (government)
Career Outcomes
Median Salary: $NaN. Top Employers: Adobe, Amazon, Google, IBM, Microsoft, Salesforce.
Notable Faculty
- Marina Meila — Machine learning, clustering algorithms, statistical data analysis
Location Advantages: Washington D.C. metro region with major tech company offices (Google, Amazon, Microsoft), federal agencies, and consulting firms; strong recruitment pipeline
University of Maryland-Baltimore County — Baltimore, MD
Key Distinction: Part-time and full-time schedule options. Multiple delivery formats: on-campus (Catonsville, Shady Grove) and online
Hakia Insight: UMBC's Master of Professional Studies in Data Science uniquely offers three simultaneous delivery formats—on-campus Catonsville, Shady Grove satellite, and fully online—allowing students to pivot between modalities mid-program if their work situations change, eliminating the typical lock-in of traditional schedules.
UMBC's Master of Professional Studies in Data Science is designed for working professionals seeking flexible learning options. The program offers both full-time and part-time schedules across multiple campuses (Catonsville, Online, Shady Grove), enabling students to balance career advancement with graduate study. The curriculum combines core data science fundamentals—machine learning, data analysis, data management, and ethics—with specialized electives tailored to individual career goals through collaboration with university departments. Students can earn embedded Data Science and Data Science Informatics certificates. The program is STEM-designated and welcomes career-changers and established professionals. Graduate assistantships and fellowships are available through the Graduate School and Office of Financial Aid. No GRE required. Graduates advance into data analytics, machine learning engineering, and analytics leadership roles with enhanced earning potential and career mobility.
Programs Offered
- Master of Professional Studies in Data Science — 1-2 years, on-campus. MPS
Research Labs and Institutes
- Center for Cybersecurity
- National Center for Data Curation
Industry Partners
- National Security Agency (government)
- NIST (government)
- Northrop Grumman (corporate)
- Booz Allen Hamilton (corporate)
Notable Faculty
- null — Machine learning and statistical modeling
Accreditations and Certifications
- ABET accredited (Computer Science programs)
Location Advantages: Proximity to National Security Agency (Fort Meade)Access to major federal contractors (Booz Allen Hamilton, Northrop Grumman, etc.)Baltimore-Washington tech corridor with growing startup ecosystemGovernment agency internship and employment opportunities
McDaniel College — Westminster, MD
Key Distinction: An interdisciplinary liberal arts approach to analytics that integrates technical training with domain expertise across multiple fields, differentiating it from specialized computer science programs.
Hakia Insight: McDaniel College's integration of data analytics into a liberal arts framework produces graduates who can translate between technical teams and business stakeholders—a rare skill that justifies the premium employers in Baltimore's financial services sector pay for analysts who speak both languages fluently.
At the master's level, mcDaniel College integrates data analytics into its liberal arts framework, allowing students to combine quantitative rigor with domain expertise across business, psychology, environmental science, and social sciences. This interdisciplinary approach means you're not siloed in a computer science department but instead building analytics skills while studying how data informs real-world decisions in various fields. The curriculum emphasizes statistical reasoning and data storytelling alongside technical tools, preparing graduates who can translate between technical teams and business stakeholders. Faculty engage students in applied projects—analyzing admissions trends, environmental datasets, or organizational performance metrics—that build a portfolio before graduation. The college's location in Westminster provides proximity to Baltimore's growing tech corridor while maintaining the close mentoring relationships characteristic of small liberal arts institutions.
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: Proximity to Baltimore technology and financial services sector
Best Doctoral Data Analytics Degree Programs in Maryland
Capitol Technology University — Laurel, MD
Key Distinction: Capitol Technology University offers comprehensive Data Analytics programs preparing students for careers in technology.
Hakia Insight: Capitol Technology University's Laurel location places it within Maryland's federal contracting corridor, offering doctoral students proximity to the exact employers—defense, intelligence, and civilian agencies—who fund advanced analytics research and hire PhDs directly into leadership roles.
Capitol Technology University offers Data Analytics programs in Laurel, MD. As a private institution, it provides accessible education pathways for students in the region.
University of Maryland-College Park — College Park, MD
Key Distinction: A research-intensive, theory-grounded program with deep ties to Washington D.C.'s tech and federal data ecosystem, ideal for students pursuing advanced technical or leadership roles.
Hakia Insight: UMD's doctoral programs split across the Robert H. Smith School of Business and Computer Science departments, creating unusual flexibility: students can anchor in either rigorous computer science theory or business-focused methodology depending on whether their post-PhD goal is academic research or executive analytics leadership.
At the doctoral level, UMD's data analytics programs—offered through the Robert H. Smith School of Business and the Department of Computer Science—combine world-class research infrastructure with strong industry recruitment pipelines into major tech hubs. The graduate programs emphasize both statistical depth and machine learning applications, with specializations in areas like predictive analytics, business analytics, and data science research. You'll have access to faculty conducting cutting-edge work in optimization, statistical learning, and applied data science, and the option to engage with research labs across campus. UMD's location in the D.C. metro area creates unparalleled internship and networking opportunities with tech companies, federal agencies, and consulting firms; many students secure full-time roles before graduation through these connections. The program's strength lies in its blend of theoretical rigor and immediate applicability—coursework in advanced statistics, programming, and domain applications prepares graduates for both technical and leadership roles at Fortune 500 companies and emerging startups.
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
- Center for Machine Learning
- Maryland Applied Economics Laboratory
Industry Partners
- Amazon (corporate)
- Microsoft (corporate)
- Google (corporate)
- Deloitte (corporate)
- U.S. Census Bureau (government)
Career Outcomes
Median Salary: $NaN.
Notable Faculty
- Marina Meila — Machine learning, clustering algorithms, statistical data analysis
Location Advantages: Washington D.C. metro region with major tech company offices (Google, Amazon, Microsoft), federal agencies, and consulting firms; strong recruitment pipeline
