Wilmington University — New Castle, DE
Key Distinction: Wilmington University's data science education uniquely emphasizes practical, career-oriented training with strong quantitative skills integration across interdisciplinary STEM programs, particularly distinguished by its data-driven Environmental Science MS program.
Hakia Insight: Wilmington's NASA and NIH partnerships create rare undergraduate research access in space technology and biomedical informatics—openings most bachelor's programs reserve for graduate students, giving you publication-ready experience before you apply to graduate school.
At the bachelor's level, wilmington University's data science programs are housed within the College of Sciences and Engineering and College of Business and Technology as part of a comprehensive STEM portfolio. The university offers multiple pathways into data science including a Data Analytics Associate degree, Data Analytics undergraduate certificate, and integrated data science components across Computer Science (BS) and Environmental Science (MS) programs. The Computer Science BS program features a dedicated Data Analytics concentration, while the Environmental Science MS program uniquely emphasizes quantitative skills and data science as a distinguishing feature. All programs are taught by highly qualified faculty who are practitioners in the field. The university maintains strong industry connections through its affiliation with the NIH-funded INBRE program and NASA-funded DE Space Grant Consortium, providing research and internship opportunities. Students can complete coursework through traditional classroom, online, or hybrid formats, with programs designed to accommodate working professionals. The Environmental Science MS program can be completed in as little as 12 months with 11 courses totaling 33 credits. Data science courses are integrated throughout the curriculum, including DTA 447 Data Science, DTA 6100 Biometry, DTA 7300 Geographic Information Systems, and DTA 7400 Data Science at the graduate level. The programs prepare students for careers as Data Analysts, Statisticians, Business Analysts, and research positions across various sectors. International F-1 students in certain STEM programs may be eligible for extended optional practical training up to 24 months, making the programs attractive to global students seeking practical experience in the U.S. data science job market.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Industry Partners
- NASA (sponsor)
- NIH (sponsor)
Career Outcomes
Median Salary: $NaN.
Notable Faculty
- Dr. Milton Muldrow Jr. — Science Program Chair
Accreditations and Certifications
Location Advantages: Access to NIH-funded INBRE program research opportunitiesNASA-funded DE Space Grant Consortium partnerships
Delaware State University — Dover, DE
Key Distinction: DSU's data science program uniquely combines traditional mathematical foundations with cutting-edge genomics applications through the dsDNA Core Center and leverages the university's 1890 land-grant mission to apply AI and machine learning to agricultural and social justice challenges.
Hakia Insight: Delaware State University leverages partnerships with University of Delaware Data Science Institute and University of Maryland Eastern Shore to offer data science students real-world project experience valued by Delaware employers.
At the bachelor's level, delaware State University offers a Mathematics with Data Analytics degree program supported by research opportunities and specialized facilities including the Advanced Quantum Sensing Center and Center of Excellence for Emerging Technologies. Students benefit from comprehensive career services and program-specific scholarships.
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
- Delaware Nucleotide Analysis & Data Science Core Center
- Center of Excellence for Emerging Technologies
- Optical Sciences Center for Applied Research
- Center for Research and Education in the Optical Sciences and Applications
- Delaware Center for Neuroscience Research
- Center for Integrated Biological and Environmental Research
Industry Partners
- University of California Davis Artificial Intelligence for Next-Generation Food Systems (collaborator)
- University of Delaware Data Science Institute (collaborator)
- University of Maryland Eastern Shore (collaborator)
- Southern University and A&M College (collaborator)
- Tuskegee University (collaborator)
- Alabama A&M University (collaborator)
- South Carolina State University (collaborator)
- University of Arkansas at Pine Bluff (collaborator)
- North Carolina A&T University (collaborator)
- Florida A&M University (collaborator)
Notable Faculty
- Dr. Jung-lim Lee — DNA and Data Science, genomics research
- Dr. Chase Stratton — DNA and Data Science, genomics applications
- Dr. Marwan Rasamny — Computer Science and interdisciplinary research
Location Advantages: Access to Delmarva Peninsula research opportunitiesProximity to Washington D.C. metro areaOnly public herbarium on Delmarva Peninsula
University of Delaware — Newark, DE
Key Distinction: Mandatory Senior Capstone Experience: Two-course Senior Design Project (CISC 498-499) or Senior Thesis option (UNIV 401-402). Concentration in Data Science with specialized coursework in machine learning (CISC 484), data mining (CISC 483), database systems (CISC 437), and artificial intelligence (CISC 481)
Hakia Insight: University of Delaware's mandatory Senior Design capstone with JPMorgan Chase and Wells Fargo as embedded partners means your final project isn't a classroom exercise—it's a real technical deliverable evaluated by the firms that hire your cohort, collapsing the usual gap between senior project and job interview.
The Bachelor of Science in Computer Science with a Data Science Concentration at the University of Delaware integrates computer science theory with practical application, preparing students for long-term learning in a rapidly evolving field. The program requires a strong foundation in core computer science courses (CISC 108-260, 303, 320), discrete mathematics, and calculus, complemented by concentration-specific coursework in data science, artificial intelligence, database systems, and machine learning. Students complete a capstone experience through either a two-course Senior Design Project sequence (CISC 498-499, 6 credits) or a Senior Thesis (UNIV 401-402). The concentration requires advanced coursework in data mining or machine learning, probability theory or differential equations, and electives in specialized areas. The curriculum emphasizes designing computational solutions, representing and analyzing large datasets, and applying advanced mathematics and machine learning methods. Graduates are prepared for careers in data science, software engineering, and technology fields with strong technical communication and ethical decision-making skills.
Programs Offered
- Bachelor of Science in Computer Science - Data Science Concentration — 4 years, on-campus. BS
Research Labs and Institutes
- Data Science Institute
- Center for Bioinformatics & Computational Biology
- Protein Information Resource
- Center for Data-Intensive & Computational Science
- First State AI Institute
- AI Center of Excellence
- Center for Cybersecurity, Assurance and Privacy
Industry Partners
- JPMorgan Chase (employer)
- CompassRed (partner)
- Christiana Health Care Systems (partner)
- Wells Fargo (employer)
- Bank of America (employer)
- Tech Impact Data Innovation Lab (employer)
- Aberdeen Proving Ground (employer)
- Paramount (employer)
- Incyte (employer)
- PwC (employer)
- AAA (employer)
Career Outcomes
Median Salary: $NaN. Top Employers: JPMorgan Chase, Wells Fargo, Bank of America, Tech Impact Data Innovation Lab, Aberdeen Proving Ground, Paramount, Incyte, PwC, AAA.
Notable Faculty
- Dr. Tobin Driscoll — Scientific computing, biomedical image and video processing, data-driven mathematical modeling
- Dr. Cathy Wu — Bioinformatics and computational biology
- Dr. Federica Bianco — Physics and astronomy, AI tools for cosmic object analysis
- Dr. Gonzalo Arce — Machine learning, graph signal processing, geometrical neural networks
- Dr. Arthi Jayaraman — Machine learning, microscopy image analysis, molecular modeling
Admissions
GPA Requirement: 3.0 cumulative GPA required for degree completion. Application Deadline: February 1.
Requirements: Minimum grade of C- in all CIS Core courses (CISC 108, 181, 210, 220, 260), Minimum grade of C- in MATH 231/232 or MATH 241, CISC 275 - Introduction to Software Engineering (3 credits), CISC 303 - Automata Theory (3 credits), CISC 320 - Introduction to Algorithms (3 credits), MATH 210 - Discrete Mathematics I (3 credits), Capstone Experience: CISC 498-499 (Senior Design Project) or UNIV 401-402 (Senior Thesis) (6 credits), Lab Science Requirement: 8-credit sequence (Biology, Chemistry, Geology, or Physics), CISC 355 - Computers, Ethics and Society (3 credits), ENGL 312 - Written Communications in Business or ENGL 410 - Technical Writing (3 credits), Concentration Core: CISC 304, 372, 437, 481; MATH 205, 242, 243, 349, Advanced Data Science: CISC 483 or 484 (3 credits), Advanced Math: MATH 302, 350, or 426 (3 credits), Restricted Electives: 3 credits from CISC 361, 410, 436, or 440, University Breadth Requirements: 21 credits total including Creative Arts and Humanities, History and Cultural Change, Social and Behavioral Sciences, Mathematics/Natural Sciences/Technology, First Year Seminar (0-4 credits), Discovery Learning Experience (3 credits), Multicultural Requirement (3 credits)
Location Advantages: