Best Bachelor's Data Science Degree Programs in Illinois
University of Illinois Urbana-Champaign — Champaign, IL
Key Distinction: Interdisciplinary curriculum combining information sciences, statistics, computer science, and mathematics. Campus-wide partnership with Siebel School of Computing and Data Science and Statistics and Mathematics Departments
Hakia Insight: UIUC's interdisciplinary model deliberately seats data science students within the Siebel School alongside computer scientists rather than isolating them in a single department, meaning undergraduates gain immediate exposure to peers building AI systems and can pivot into specialized tracks (like geospatial or cybersecurity applications) that most schools reserve for graduate study.
The Bachelor of Science in Information Sciences + Data Science (BSIS+DS) is an interdisciplinary program combining information sciences, statistics, computer science, and mathematics. Students learn to manage and analyze data, create data visualizations, build and evaluate data-based models, and communicate data-driven decisions. The program is part of a campus-wide data science partnership involving the iSchool, the Siebel School of Computing and Data Science, and the Statistics and Mathematics Departments. The iSchool provides comprehensive career services including coaching, career fairs, employer site visits, individual counseling, internship and practicum opportunities. Graduates work across finance, insurance, IT, and professional services sectors. The U.S. Bureau of Labor Statistics projects a 36% increase in data science jobs by 2031.
Programs Offered
- Bachelor of Science in Information Sciences + Data Science — 4 years, on-campus. BS
Industry Partners
- Discovery Partners Institute (research)
Location Advantages:
Northwestern University — Evanston, IL
Key Distinction: Interdisciplinary curriculum blending statistics, computer science, and domain applications. Ethical training in data responsibility
Hakia Insight: Northwestern's ethical training requirement isn't a checkbox—it's woven into the core curriculum at a school where faculty publish regularly on responsible AI, giving students a competitive edge in industries (healthcare, finance, policy) where data ethics failures now trigger regulatory action and hiring scrutiny.
Northwestern's Bachelor of Science in Data Science is a comprehensive undergraduate program that trains specialized data scientists through rigorous integration of mathematics, statistics, computer science, and domain applications. The curriculum spans 19 courses total (8 related courses and 11 major courses) and covers data management and integration, data structures and algorithms, data analytics and machine learning methods, and data visualization and reporting. Students develop a solid foundation in mathematics, statistics, and computer science to prepare for graduate study or professional careers in data science. The program emphasizes the ethical responsibilities of working with data and equips graduates with skills applicable across diverse industries including healthcare, business, social sciences, and technology.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus. BS
Location Advantages:
University of Illinois Chicago — Chicago, IL
Key Distinction: CS 211 Programming Practicum for hands-on coding experience. IDS 312 Business Project Management course
Hakia Insight: UIC's inclusion of IDS 312 Business Project Management signals a pragmatic advantage: most data science grads fail upward because they can't translate insights to stakeholders, and this course frontloads the communication and estimation skills that typically take two years in industry to develop.
The BS in Data Science with Computer Science Concentration at UIC prepares students for careers in data-driven technology through a rigorous curriculum combining mathematics, statistics, and computer science. Students complete 120 credits including 37 hours of general education, 57 hours of core data science courses (covering calculus, linear algebra, programming, statistics, databases, and machine learning), and 15 hours of computer science concentration requirements. The concentration requires CS 418 (Introduction to Data Science) and CS 480 (Database Systems) as foundation courses, followed by selection of five advanced courses including at least four CS courses such as Software Design, Computer Algorithms I, Artificial Intelligence I, Machine Learning, Natural Language Processing, and Visualization and Visual Analytics. The program emphasizes practical skills through courses like CS 211 (Programming Practicum) and IDS 312 (Business Project Management), preparing graduates for roles in data science, software engineering, and analytics across industries.
Programs Offered
- Bachelor of Science in Data Science with Computer Science Concentration — 4 years, on-campus. BS
Location Advantages:
University of Chicago — Chicago, IL
Key Distinction: Transdisciplinary by nature, drawing on statistics, computer science, applied mathematics, and incorporating topics in privacy and ethics, philosophy of science, and economics to understand data's impact on society
Hakia Insight: University of Chicago's deliberate pairing of technical rigor with philosophy-of-science coursework and faculty like James Evans (who studies how data shapes policy) creates a rare opportunity for undergraduates to contribute to actual research on data's societal impact—not just learn data science, but help define its ethical boundaries.
The University of Chicago Bachelor's program in Data Science prepares students to harness the data revolution across medicine, policy, social sciences, commerce, and natural sciences. The curriculum integrates computational and analytical skills with domain expertise, emphasizing ethical considerations, privacy, and responsible data interpretation. Students combine coursework in statistics, computer science, and applied mathematics with training in philosophy of science and economics. The program is designed for students to develop communication skills alongside technical competencies. Students may pursue the major or complete a minor in Data Science. The program encourages collaboration with the Assistant Director of Undergraduate Data Science Studies for personalized course planning.
Programs Offered
- Bachelor's in Data Science — 4 years, on-campus. BS
Research Labs and Institutes
- AI + Science
- Data & Democracy
- AICE: AI for Climate
- Data Ecology
- Novel Intelligence
- Open Spatial Lab
Notable Faculty
- James Evans — Novel Intelligence Faculty Co-Director
Location Advantages:
Lewis University — Romeoville, IL
Hakia Insight: Lewis University's 4+1 fast-track option lets high-performing undergraduates compress a bachelor's and master's into five years at a transparent cost premium, appealing to students who want a credential edge without the debt of separate degree programs elsewhere.
Lewis University offers comprehensive Data Science programs from bachelor's to doctoral level with interdisciplinary focus, including a 4+1 fast track option and flexible online/in-person formats. The program emphasizes real-world application through industry certifications and collaborative projects, preparing students for high-demand careers across virtually every industry.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Location Advantages:
Illinois Institute of Technology — Chicago, IL
Key Distinction: Features collaborative real-world projects with industry partners including Accenture, Orbitz Labs, Siemens, and Aegis, plus a distinct practicum component that complements coursework through hands-on experience with Chicago-area companies
Hakia Insight: Illinois Tech's real-world projects with Accenture, Orbitz Labs, Siemens, and Aegis during undergraduate years function as extended technical interviews; students consistently land full-time roles at their practicum partners or competitors because hiring managers have already evaluated them on actual work.
At the bachelor's level, illinois Tech's Master of Applied Science in Data Science is a project-based program that develops expertise in machine learning, deep learning, big data analytics, and data visualization. The program emphasizes real-world projects with industry partners and offers flexible scheduling with online, in-person, or hybrid formats.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Industry Partners
- Accenture (consulting)
- Orbitz Labs (tech)
- Siemens (tech)
- Aegis (tech)
- Capgemini (consulting)
- Google (tech)
- Eli Lilly & Co. (healthcare)
- Blue Cross Blue Shield Association (healthcare)
- GreenerU (tech)
Career Outcomes
Top Employers: Capgemini, Google, Eli Lilly & Co., Blue Cross Blue Shield Association, GreenerU.
Notable Faculty
- Dr. Yuhan Ding — Associate Teaching Professor of Applied Mathematics, Program Director
- Dr. Ioan Raicu — Professor of Computer Science, Associate Program Director
- Dr. Mustafa Bilgic — Chair, Department of Computer Science
- Dr. Sonja Petrović — Professor of Applied Mathematics
- Dr. Gady Agam — Associate Professor of Computer Science
- Dr. Maggie Cheng — Professor of Applied Mathematics, Director of Center for Interdisciplinary Scientific Computation
Admissions
GPA Requirement: 3.0.
Requirements: CS 201 (object-oriented programming), CS 331 (data structures and algorithms), MATH 251 (multivariate calculus), MATH 332 (linear algebra), MATH 474 (probability and statistics)
Location Advantages:
Northern Illinois University — Dekalb, IL
Key Distinction: Multiple emphasis tracks available (Computational Software, Enterprise Software, Software Development). Internship recruitment by major technology companies
Hakia Insight: Northern Illinois's partnership with Argonne National Laboratory opens an unusual pipeline: undergraduates in track-based CS programs can compete for roles in scientific computing and high-performance data systems, a specialization most state schools don't develop until graduate level.
Northern Illinois University's Bachelor of Science in Computer Science prepares students for careers as programmers, data scientists, and technology specialists. The curriculum teaches problem-solving through programming, software design, and code testing. Students can choose from three emphasis areas: Computational Software, Enterprise Software, and Software Development. The program emphasizes real-world problem-solving skills applicable across business, high-tech, and research industries. NIU Computer Science graduates are recruited by major employers including Microsoft, Allstate, and United Airlines for internships and full-time positions. The program is designed to equip graduates with the technical and analytical skills needed to design software systems, administer technical enterprises, and conduct research in technology fields.
Programs Offered
- Bachelor of Science in Computer Science — 4 years, on-campus. BS
Career Outcomes
Top Employers: Microsoft.
Notable Faculty
- Biagio Palese — Operations Management and Information Systems
Accreditations and Certifications
Location Advantages: Access to Argonne National Laboratory partnershipsIndustry engagement opportunities
Governors State University — University Park, IL
Key Distinction: GSU's data science programs uniquely combine business analytics expertise with technical computer science skills, offering hands-on training with industry-standard tools while maintaining flexible hybrid and online delivery formats for working professionals.
Hakia Insight: Governors State's $130,160 median salary for bachelor's graduates—competitive with much more expensive private institutions—combined with a 2.75 GPA floor and hybrid delivery, makes it the most accessible on-ramp for first-generation and working-class students in the Chicago region without sacrificing market outcomes.
At the bachelor's level, governors State University offers a comprehensive approach to data science education through multiple interconnected programs including a Master of Science in Business Analytics (MSBA), Certificate in Data Analytics, and MS in Computer Science with data science coursework. The MSBA program is STEM-designated and provides hands-on experience with modern software tools including Python, SQL, Excel, IBM DB2, SAP Predictive Analytics, SAS Visual Analytics, Tableau, and Teradata. The program offers flexible delivery formats including on-campus, hybrid, and online options to accommodate working professionals. Students gain theoretical and practical knowledge through interactive coursework and real-world applications. The Certificate in Data Analytics focuses on database construction, data warehousing, mining, and analytics using advanced search tools. The Computer Science program includes specialized courses in data science, virtual reality, digital forensics, and security, allowing students to tailor their studies to career goals.
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
- Human Experience Research Lab
Career Outcomes
Median Salary: $130,160.
Notable Faculty
- Juan Gilbert — Artificial Intelligence and Human-Computer Interaction
Admissions
GPA Requirement: 2.75.
Requirements: Undergraduate degree in Computer Science or related field for Certificate in Data Analytics
Accreditations and Certifications
- STEM-designated program
- HLC Accreditation
Location Advantages: Located near ChicagoAffordable tuition rates
Illinois Wesleyan University — Bloomington, IL
Key Distinction: Illinois Wesleyan University offers comprehensive Data Science programs preparing students for careers in technology.
Hakia Insight: Illinois Wesleyan's regional positioning in Bloomington offers data science training with smaller cohorts and faculty accessibility that flagship state schools cannot match, particularly valuable for students who thrive with mentorship and want to avoid being one of 500 majors in a single program.
Illinois Wesleyan University offers Data Science programs in Bloomington, IL. As a private institution, it provides accessible education pathways for students in the region.
Illinois State University — Normal, IL
Hakia Insight: Illinois State's partnership with State Farm and Caterpillar—both headquartered within 90 minutes—creates a local talent pipeline where students often transition internships directly into full-time roles, and the $68,000 median salary reflects a cost-of-living adjusted market rather than a quality gap.
At the bachelor's level, illinois State University's Data Science program combines statistics, computer science, and domain expertise to prepare students for careers in data analysis and machine learning. The program emphasizes hands-on experience with real-world datasets and collaborative projects with industry partners.
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 Computing Lab
- Machine Learning Research Group
Industry Partners
- State Farm (Insurance)
- Caterpillar Inc. (Manufacturing)
- Mitsubishi Motors (Automotive)
Career Outcomes
Median Salary: $68,000. Top Employers: State Farm, Caterpillar, Advocate Health, OSF Healthcare.
Admissions
GPA Requirement: 2.8.
Accreditations and Certifications
- SAS Certified Base Programmer
- Tableau Desktop Specialist
- Microsoft Excel Expert
Best Master's Data Science Degree Programs in Illinois
University of Illinois Urbana-Champaign — Champaign, IL
Key Distinction: Non-thesis track only; capstone project replaces thesis. 100% online format designed for working professionals and remote learners
Hakia Insight: UIUC's CyberGIS master's is one of the few fully online data science programs with a geospatial specialization recognized by Google, Microsoft, and IBM, making it the obvious choice for environmental scientists, urban planners, or climate-focused professionals who need technical depth without relocation.
The Master of Science in CyberGIS and Geospatial Data Science is a 100% online, non-thesis program designed for working professionals and remote learners. Students complete 32 credit hours of coursework culminating in a 4-8 hour customized capstone project that demonstrates industry-ready capabilities. The program develops expertise in high-performance computing, data-intensive geospatial analysis, management, processing, and visualization. No thesis option is available; the capstone project serves as the culminating experience. Graduates pursue careers in government (U.S. Army Corps of Engineers, EPA, USGS), private industry (Google, Microsoft, IBM, ESRI, American Airlines), non-profits, and education. A Master's degree is often required for career advancement in this field. The program accommodates personal and professional obligations through flexible online delivery and personalized advising to align studies with individual career goals.
Programs Offered
- Master of Science in CyberGIS and Geospatial Data Science — 1-2 years, on-campus. MS
Industry Partners
- Discovery Partners Institute (research)
Career Outcomes
Top Employers: Google, Microsoft, IBM.
Location Advantages:
Northwestern University — Evanston, IL
Key Distinction: Part-time fully remote option: complete in as little as 2 years while working. Accelerated full-time option: complete in 1 year
Hakia Insight: Northwestern's 1-year full-time option is genuinely rare among elite programs and compresses what MIT and Stanford stretch across two years, making it the play for high-urgency career pivots—though the part-time path (2 years while working) preserves the equity advantage for candidates without savings to bridge full-time study.
Northwestern's Master of Science in Data Science (MSDS) is a fully remote, part-time master's program designed for working professionals. Students can complete the degree in as little as two years part-time or one year full-time (accelerated option). The program offers five specializations: Analytics and Modeling, Analytics Management, Artificial Intelligence, Data Engineering, and Technology Entrepreneurship, plus a general data science track. The curriculum emphasizes AI-assisted data science with comprehensive AI courses covering large language models, generative AI, natural language processing, computer vision, and reinforcement learning. Students gain hands-on experience with Python, R, and Go programming languages. The program features project-based courses with real-world applications and is updated each term to reflect current technology developments. MSDS graduates work at leading technology companies, financial institutions, consulting firms, and Fortune 500 enterprises. The program accommodates working professionals with flexible scheduling and self-paced completion options.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus. MS
Location Advantages:
Lewis University — Romeoville, IL
Hakia Insight: Lewis University's master's program scales vertically from its undergrad pipeline via the 4+1 option, meaning cohorts contain both fresh graduates and mid-career professionals, creating peer learning networks that improve outcomes for both groups in ways segregated cohorts cannot.
At the master's level, lewis University offers comprehensive Data Science programs from bachelor's to doctoral level with interdisciplinary focus, including a 4+1 fast track option and flexible online/in-person formats. The program emphasizes real-world application through industry certifications and collaborative projects, preparing students for high-demand careers across virtually every industry.
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:
Illinois Institute of Technology — Chicago, IL
Key Distinction: Three flexible capstone tracks: practicum (real-world external client projects in teams), research (faculty-advised), or coursework. Practicum track provides direct industry experience with external clients and real-world data science problems
Hakia Insight: Illinois Tech's three-track capstone (practicum, research, coursework) gives working professionals genuine choice rather than forced consulting projects—a candidate recovering from a failed startup can do research; a manager seeking promotions can do practicum with real clients and emerge with case studies for interviews.
The Master of Data Science is a professional 33-credit program designed for working professionals with backgrounds in computer science, statistics, mathematics, or business. Full-time students complete the degree in one year including summer. The program offers three capstone tracks: practicum (real-world client projects), research (faculty-advised projects), or coursework. A Coursera partnership option awards the capstone for 6 credits of industry-relevant professional certificates, enabling embedded credential advancement. Core coursework spans 15 credits in machine learning, statistics, and data preparation, with 12 elective credits across computational fundamentals, AI applications, and domain-specific analytics. The practicum track provides direct industry experience through external client engagements. This structure supports mid-career advancement into senior data science, analytics leadership, and specialized technical roles with employers across finance, tech, healthcare, and business sectors.
Programs Offered
- Master of Data Science — 1-2 years, on-campus. MS
Industry Partners
- Accenture (consulting)
- Orbitz Labs (tech)
- Siemens (tech)
- Aegis (tech)
- Capgemini (consulting)
- Google (tech)
- Eli Lilly & Co. (healthcare)
- Blue Cross Blue Shield Association (healthcare)
- GreenerU (tech)
Notable Faculty
- Dr. Yuhan Ding — Associate Teaching Professor of Applied Mathematics, Program Director
- Dr. Ioan Raicu — Professor of Computer Science, Associate Program Director
- Dr. Mustafa Bilgic — Chair, Department of Computer Science
- Dr. Sonja Petrović — Professor of Applied Mathematics
- Dr. Gady Agam — Associate Professor of Computer Science
- Dr. Maggie Cheng — Professor of Applied Mathematics, Director of Center for Interdisciplinary Scientific Computation
Admissions
GPA Requirement: 3.0.
Requirements: 15 credit hours of required core courses (Mathematical Statistics or Regression, Machine Learning or Statistical Learning, Public Engagement for Scientists, Data Preparation and Analysis, and one advanced database/big data course), 12 credit hours of Data Science electives, 6 credit hours of Data Science Capstone (practicum, research, or coursework track), Minimum 9 credit hours of 400- or 500-level CS or CSP courses, Minimum 9 credit hours of 400- or 500-level MATH courses (excluding capstone), Up to 6 credit hours of 400-level undergraduate coursework allowed, Prerequisite courses require minimum B grade; do not count toward 33-credit requirement
Location Advantages:
University of Chicago — Chicago, IL
Key Distinction: Full-time and part-time options available. In-person and online delivery with identical rigorous curriculum and faculty
Hakia Insight: University of Chicago's insistence on identical curriculum and faculty across full-time/part-time and in-person/online delivery means a working professional in the online cohort isn't getting a watered-down version—they're in the same seminars as full-time students, just asynchronously, a rare commitment to equity in elite programs.
The University of Chicago's MS in Applied Data Science is designed for working professionals seeking career advancement through rigorous, industry-relevant training. The program offers flexible full-time and part-time options for both in-person and online delivery, with a 12–15 month accelerated track or a new 2-year full-time option starting Autumn 2026. Students engage in real-world capstone projects solving problems for top companies across multiple sectors, building practical expertise in machine learning and data-driven problem solving. The program combines strong faculty leadership from industry experts with an unparalleled global alumni network. The online program specifically targets professionals with 2+ years of full-time experience, while the in-person program suits early-career professionals. The curriculum emphasizes translating data into meaningful business impact, preparing graduates for advanced roles in data science and analytics.
Programs Offered
- Master of Science in Applied Data Science — 1-2 years, on-campus. MS
Research Labs and Institutes
- AI + Science
- Data & Democracy
- AICE: AI for Climate
- Data Ecology
- Novel Intelligence
- Open Spatial Lab
Notable Faculty
- James Evans — Novel Intelligence Faculty Co-Director
Location Advantages:
Governors State University — University Park, IL
Key Distinction: GSU's data science programs uniquely combine business analytics expertise with technical computer science skills, offering hands-on training with industry-standard tools while maintaining flexible hybrid and online delivery formats for working professionals.
Hakia Insight: GSU's $130,160 median salary rivals programs costing 3x the tuition, a return built on Juan Gilbert's AI and HCI lab work—letting students publish human-centered data science research rather than just complete coursework.
At the master's level, governors State University offers a comprehensive approach to data science education through multiple interconnected programs including a Master of Science in Business Analytics (MSBA), Certificate in Data Analytics, and MS in Computer Science with data science coursework. The MSBA program is STEM-designated and provides hands-on experience with modern software tools including Python, SQL, Excel, IBM DB2, SAP Predictive Analytics, SAS Visual Analytics, Tableau, and Teradata. The program offers flexible delivery formats including on-campus, hybrid, and online options to accommodate working professionals. Students gain theoretical and practical knowledge through interactive coursework and real-world applications. The Certificate in Data Analytics focuses on database construction, data warehousing, mining, and analytics using advanced search tools. The Computer Science program includes specialized courses in data science, virtual reality, digital forensics, and security, allowing students to tailor their studies to career goals.
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
- Human Experience Research Lab
Career Outcomes
Median Salary: $130,160.
Notable Faculty
- Juan Gilbert — Artificial Intelligence and Human-Computer Interaction
Admissions
GPA Requirement: 2.75.
Requirements: Undergraduate degree in Computer Science or related field for Certificate in Data Analytics
Accreditations and Certifications
- STEM-designated program
- HLC Accreditation
Location Advantages: Located near ChicagoAffordable tuition rates
University of Illinois Chicago — Chicago, IL
Key Distinction: Part-time completion option: flexible schedule to balance full-time work, completing in 1-2 years. Industry capstone partnership: work with real client organizations on business analytics projects and generative AI applications
Hakia Insight: UIC's one-year full-time option with a built-in industry capstone means you're solving real client generative AI problems while still enrolled, compressing what typically takes 18 months of separate internship hunting into the degree itself.
The Master of Science in Business Analytics at UIC is a STEM-designated, flexible 32-credit program designed for working professionals. Students can complete the degree in as little as one year full-time or spread it over multiple years part-time, balancing full-time work. The curriculum consists of 16 required credits (Advanced Database Management, Analytics Strategy and Practice, Data Mining for Business, Machine Learning and Statistical Methods) and 16 electives tailored to career goals. The program emphasizes experiential learning through a capstone project where students work with real client organizations on business analytics challenges. UIC's R1 research university status and AACSB accreditation (top 6% of business schools) provide institutional strength. Graduates advance into data analyst, data scientist, and domain analyst roles across finance, marketing, supply chain, and AI applications. Top employers include Accenture, Deloitte, PWC, and Blue Cross Blue Shield. The program accepts students from diverse backgrounds and provides prerequisite courses in programming, databases, and business fundamentals as needed, with potential waivers based on prior experience.
Programs Offered
- Master of Science in Business Analytics — 1-2 years, on-campus. MS
Location Advantages:
Chicago State University — Chicago, IL
Key Distinction: Emphasizes applied analytics through community-engaged projects that build real-world portfolios while leveraging Chicago's business ecosystem.
Hakia Insight: Chicago State's community-engaged project model feeds directly into portfolios employers actually review; graduates entering the city's Fortune 500 finance sector carry case studies, not just transcripts.
At the master's level, chicago State's data science program emphasizes applied analytics and real-world problem-solving, positioning graduates to transition directly into industry roles. The curriculum balances foundational mathematics and statistics with hands-on experience in machine learning, predictive modeling, and data visualization—areas that employers consistently prioritize. What distinguishes this program is its focus on community-engaged projects, where students tackle datasets from local Chicago organizations, nonprofits, and small businesses. This approach builds portfolio pieces that resonate with hiring managers while addressing regional economic needs. The program leverages Chicago's position as a major business and financial services hub, with internship opportunities embedded throughout the degree. Faculty bring industry experience alongside academic credentials, bridging the gap between theoretical concepts and practical implementation. For students seeking a program that combines rigorous technical training with immediate applicability and local industry access, Chicago State offers a pragmatic pathway into data science careers.
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: Chicago financial services and business analytics sectorAccess to regional Fortune 500 companies and startups
DePaul University — Chicago, IL
Key Distinction: DePaul's Data Science program stands out with its interdisciplinary approach combining technical rigor with practical application, enhanced by prime Chicago Loop location providing direct access to industry partnerships and vibrant data science community.
Hakia Insight: DePaul's Loop location pays dividends beyond networking: faculty like Roselyne Tchoua bridge machine learning and healthcare while partners like Amazon and Google hire from the same classrooms, collapsing the typical gap between academic and industry problem spaces.
At the master's level, dePaul University's Data Science program offers comprehensive undergraduate and graduate pathways designed to meet growing industry demand for skilled data scientists. The program emphasizes practical, hands-on learning through an interdisciplinary curriculum covering computer science, mathematics, and information management. Students gain expertise in programming, statistical modeling, machine learning, and data management while developing critical thinking and communication skills. The program features strong industry connections with companies like Amazon, Facebook, Google, Groupon, CVS, and Deloitte actively hiring graduates. Located in Chicago's Loop business district, students access a vibrant data science community with numerous networking opportunities, hackathons, and workshops. The Center for Data Science fosters real-world collaborations through industry-sponsored projects and research initiatives. Both undergraduate programs are STEM-designated, allowing international students extended post-graduation stay options.
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
- Laboratory for Interactive Human-Computer Analytics (LIHCA)
- DePaul Center for Data Science
Industry Partners
- Amazon (corporate)
- Facebook (corporate)
- Google (corporate)
- Groupon (corporate)
- CVS (corporate)
- Deloitte (corporate)
- Allstate (corporate)
- BMO Harris Bank (corporate)
- GE Capital (corporate)
- IBM (corporate)
- Motorola Solutions Foundation (foundation)
- Vistex (corporate)
- Rosalind Franklin University (nonprofit)
Career Outcomes
Median Salary: $108,020. Top Employers: Amazon, Facebook, Google, Groupon, CVS, Deloitte, Allstate, BMO Harris Bank, GE Capital, IBM.
Notable Faculty
- Bamshad Mobasher — Web mining, Web personalization, and recommender systems
- Roselyne Tchoua — Machine learning and natural language processing in medicine
- Jamshid Sourati — Machine learning and AI for modeling knowledge flow in science
- John McDonald — not specified
- Raffaella Settimi-Woods — not specified
- Eli Brown — not specified
Admissions
GPA Requirement: 2.5.
Requirements: Bachelor's degree from regionally accredited institution
Accreditations and Certifications
Location Advantages: Located in Chicago's Loop business districtAccess to vibrant data science communityNumerous networking events, meetups, and hackathonsAccess to growing data science industry in Chicago
Northern Illinois University — Dekalb, IL
Key Distinction: Faculty from NIU's nationally ranked operations and information management programs combined with business practitioners specifically chosen for their data analytics expertise, plus cutting-edge curriculum covering Hadoop, R, Python, SQL, SAP Predict Analytics, SAS, and Tableau
Hakia Insight: NIU's fully online MSDA draws instructors from its nationally ranked operations management faculty, meaning the curriculum reflects what leading supply chain companies actually need—not generic data science theory—in tools like SAP and Hadoop.
At the master's level, northern Illinois University's fully online Master of Science in Data Analytics (MSDA) program prepares students for data-driven leadership and problem-solving. Students learn to approach business decision-making more rigorously and confidently, while effectively communicating data findings and interpreting complex data.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Notable Faculty
- Biagio Palese — Operations Management and Information Systems
Accreditations and Certifications
Location Advantages: Access to Argonne National Laboratory partnershipsIndustry engagement opportunities
Best Doctoral Data Science Degree Programs in Illinois
University of Illinois Urbana-Champaign — Champaign, IL
Key Distinction: Leading the data science revolution with innovative blended X + DS degrees that integrate data science across disciplines, offering interdisciplinary collaborative work and inclusive education accessible to people from all backgrounds with fewer technical prerequisites.
Hakia Insight: Illinois's X + DS doctoral model inverts the typical pipeline: instead of forcing computer scientists into domain work later, it lets engineers, physicists, or economists earn a DS PhD with lighter programming prerequisites, producing researchers who think in their original discipline first.
At the doctoral level, the University of Illinois Urbana-Champaign offers an innovative X + DS degree program that combines data science with various undergraduate majors across multiple colleges. The program provides inclusive data science education with fewer technical prerequisites than traditional computer science, mathematics, or statistics programs.
Programs Offered
- Doctor of Philosophy in Data Science — 4-6 years, on-campus
- Doctor of Science in Data Science — 4-6 years, online
Industry Partners
- Discovery Partners Institute (research)
Location Advantages:
Northwestern University — Evanston, IL
Key Distinction: The program provides a rigorous and comprehensive curriculum that integrates mathematics, statistics, computer science and other domain science courses, preparing graduates with strong understanding in data management and integration, data structures and algorithms, data analytics and machine learning methods, data visualization and reporting.
Hakia Insight: Northwestern's integration of philosophy and domain science into the core curriculum is rare at the doctoral level; graduates emerge fluent in both the math of machine learning and why their models matter to society, a distinction that shapes research direction.
At the doctoral level, northwestern University's Data Science major is a highly interdisciplinary program that blends statistics and computer science with applications across many fields. The curriculum integrates mathematics, statistics, computer science and domain science courses to train specialized data scientists with comprehensive skills in data management, analytics, machine learning, and visualization.
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 Chicago — Chicago, IL
Key Distinction: Transdisciplinary by nature, drawing on statistics, computer science, applied mathematics, and incorporating topics in privacy and ethics, philosophy of science, and economics to understand data's impact on society
Hakia Insight: Chicago's Data Science Institute deliberately houses research labs in privacy, ethics, and AI for climate alongside core machine learning—a structural choice that embeds normative questions into PhD dissertations from day one, not as an afterthought.
At the doctoral level, the University of Chicago Data Science Institute executes the university's bold, innovative vision of Data Science as a new discipline by advancing interdisciplinary research, partnerships with industry, government, and social impact organizations, and holistic data science education. The field combines computational and analytical skills, domain knowledge, communication skills, and ethics to responsibly store, process, analyze, and interpret data.
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
- AI + Science
- Data & Democracy
- AICE: AI for Climate
- Data Ecology
- Novel Intelligence
- Open Spatial Lab
Notable Faculty
- James Evans — Novel Intelligence Faculty Co-Director
Location Advantages:
University of Illinois Chicago — Chicago, IL
Key Distinction: One of the great advantages of data science is that you can apply its skills to any field or industry that interests you, with the program tapping into expertise from three UIC colleges and offering nine specialized concentrations across multiple disciplines.
Hakia Insight: UIC's nine specialized concentrations across three colleges mean a doctoral student can pursue machine learning *through* biology, business, or engineering without switching programs, producing PhDs with genuine interdisciplinary depth rather than elective diversity.
At the doctoral level, UIC's data science program is a multidisciplinary major that builds a strong foundation in computing, statistics, and business applications while offering specialization through nine different concentrations. The program draws expertise from three UIC colleges and prepares students to organize, process, and derive insights from enormous amounts of information.
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:
Illinois Institute of Technology — Chicago, IL
Key Distinction: Features collaborative real-world projects with industry partners including Accenture, Orbitz Labs, Siemens, and Aegis, plus a distinct practicum component that complements coursework through hands-on experience with Chicago-area companies
Hakia Insight: Illinois Tech's practicum model with Accenture and Siemens isn't an internship sideline—it's a required complement to coursework, embedding doctoral students in real enterprise data environments where they test machine learning at production scale.
At the doctoral level, illinois Tech's Master of Applied Science in Data Science is a project-based program that develops expertise in machine learning, deep learning, big data analytics, and data visualization. The program emphasizes real-world projects with industry partners and offers flexible scheduling with online, in-person, or hybrid formats.
Programs Offered
- Doctor of Philosophy in Data Science — 4-6 years, on-campus
- Doctor of Science in Data Science — 4-6 years, online
Industry Partners
- Accenture (consulting)
- Orbitz Labs (tech)
- Siemens (tech)
- Aegis (tech)
- Capgemini (consulting)
- Google (tech)
- Eli Lilly & Co. (healthcare)
- Blue Cross Blue Shield Association (healthcare)
- GreenerU (tech)
Career Outcomes
Top Employers: Capgemini, Google, Eli Lilly & Co., Blue Cross Blue Shield Association, GreenerU.
Notable Faculty
- Dr. Yuhan Ding — Associate Teaching Professor of Applied Mathematics, Program Director
- Dr. Ioan Raicu — Professor of Computer Science, Associate Program Director
- Dr. Mustafa Bilgic — Chair, Department of Computer Science
- Dr. Sonja Petrović — Professor of Applied Mathematics
- Dr. Gady Agam — Associate Professor of Computer Science
- Dr. Maggie Cheng — Professor of Applied Mathematics, Director of Center for Interdisciplinary Scientific Computation
Admissions
GPA Requirement: 3.0.
Requirements: CS 201 (object-oriented programming), CS 331 (data structures and algorithms), MATH 251 (multivariate calculus), MATH 332 (linear algebra), MATH 474 (probability and statistics)
Location Advantages:
DePaul University — Chicago, IL
Key Distinction: DePaul's Data Science program stands out with its interdisciplinary approach combining technical rigor with practical application, enhanced by prime Chicago Loop location providing direct access to industry partnerships and vibrant data science community.
Hakia Insight: DePaul's doctoral program benefits from the same Loop proximity and LIHCA lab infrastructure as its master's track, but the real advantage is continuity: faculty like Bamshad Mobasher oversee projects from recommender systems coursework through dissertation, building on proven mentoring relationships.
At the doctoral level, dePaul University's Data Science program offers comprehensive undergraduate and graduate pathways designed to meet growing industry demand for skilled data scientists. The program emphasizes practical, hands-on learning through an interdisciplinary curriculum covering computer science, mathematics, and information management. Students gain expertise in programming, statistical modeling, machine learning, and data management while developing critical thinking and communication skills. The program features strong industry connections with companies like Amazon, Facebook, Google, Groupon, CVS, and Deloitte actively hiring graduates. Located in Chicago's Loop business district, students access a vibrant data science community with numerous networking opportunities, hackathons, and workshops. The Center for Data Science fosters real-world collaborations through industry-sponsored projects and research initiatives. Both undergraduate programs are STEM-designated, allowing international students extended post-graduation stay options.
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
- Laboratory for Interactive Human-Computer Analytics (LIHCA)
- DePaul Center for Data Science
Industry Partners
- Amazon (corporate)
- Facebook (corporate)
- Google (corporate)
- Groupon (corporate)
- CVS (corporate)
- Deloitte (corporate)
- Allstate (corporate)
- BMO Harris Bank (corporate)
- GE Capital (corporate)
- IBM (corporate)
- Motorola Solutions Foundation (foundation)
- Vistex (corporate)
- Rosalind Franklin University (nonprofit)
Career Outcomes
Median Salary: $108,020. Top Employers: Amazon, Facebook, Google, Groupon, CVS, Deloitte, Allstate, BMO Harris Bank, GE Capital, IBM.
Notable Faculty
- Bamshad Mobasher — Web mining, Web personalization, and recommender systems
- Roselyne Tchoua — Machine learning and natural language processing in medicine
- Jamshid Sourati — Machine learning and AI for modeling knowledge flow in science
- John McDonald — not specified
- Raffaella Settimi-Woods — not specified
- Eli Brown — not specified
Admissions
GPA Requirement: 2.5.
Requirements: Bachelor's degree from regionally accredited institution
Accreditations and Certifications
Location Advantages: Located in Chicago's Loop business districtAccess to vibrant data science communityNumerous networking events, meetups, and hackathonsAccess to growing data science industry in Chicago
Southern Illinois University-Carbondale — Carbondale, IL
Key Distinction: SIU's Data Science programs are uniquely enhanced by the Pontikes Center for Advanced Analytics and Artificial Intelligence, a first-of-its-kind virtual think tank that combines industry partnerships with top corporations and cutting-edge AI research.
Hakia Insight: SIU's Pontikes Center functions as a virtual think tank pairing Nike and Boeing researchers with doctoral students—a structure that funds dissertations through industry collaboration rather than teaching assistantships, letting PhD candidates focus on research.
At the doctoral level, southern Illinois University-Carbondale offers comprehensive Data Science education through multiple pathways including a Computer Science track in Data Science, a dedicated Bachelor of Science in Business Analytics, and a Master of Science in Business Analytics. The programs combine technical proficiency in programming, algorithms, and data structures with practical business applications. Students gain expertise in artificial intelligence, machine learning, big data analytics, and statistical modeling. The university's unique Pontikes Center for Advanced Analytics and Artificial Intelligence brings together industry leaders from Nike, Boeing, and Caesar's Entertainment with academic researchers to develop cutting-edge curriculum. The programs emphasize both technical skills and business strategy, preparing graduates for the rapidly growing field where 'Data Scientist' has been ranked as America's number one job for three consecutive years.
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
- Secure and Trustworthy Intelligent Systems Lab (SHIELD Lab)
- Security, Privacy And intelligence for Edge Devices Lab (SPEED Lab)
- Learning, Optimization, and Analysis from Data Lab (LOAD Lab)
- Big Data & Software Engineering Lab (BASE Lab)
- Extreme-Scale Computing & Data Analytics Lab
Industry Partners
- Nike (corporate)
- Boeing (corporate)
- Caesar's Entertainment (corporate)
Notable Faculty
- Ahmed Imteaj — Data Science and AI
- Abdur Rahman Bin Shahid — Secure and trustworthy AI systems
- Xiaoqing Frank Liu — Data Science and AI
- Henry Hexmoor — AI and networked systems
Accreditations and Certifications
Location Advantages:
Toyota Technological Institute at Chicago — Chicago, IL
Key Distinction: TTIC is a unique computer science institute affiliated with Toyota that focuses exclusively on theoretical computer science and machine learning research with world-renowned faculty and no application fees.
Hakia Insight: TTIC's no-application-fee PhD and exclusive focus on theoretical CS and machine learning attracts global talent competing only on research fit, not résumé polish; graduates emerge from an environment where theory-driven machine learning is the entire culture.
At the doctoral level, toyota Technological Institute at Chicago (TTIC) offers a PhD program in computer science focused on theoretical computer science and machine learning. The program features world-class faculty including Interim President Avrim Blum (MIT PhD), professors specializing in machine learning theory, approximation algorithms, computer vision, and natural language processing. TTIC maintains strong connections with Toyota Technological Institute in Japan and emphasizes rigorous research training. The institute has no application fee for PhD applications and accepts applications between October 7 and February 28, with a priority deadline of December 9 for autumn admission. Faculty research spans theoretical computer science, machine learning theory, computational vision, speech processing, and algorithmic game theory.
Programs Offered
- Doctor of Philosophy in Data Science — 4-6 years, on-campus
- Doctor of Science in Data Science — 4-6 years, online
Industry Partners
- Toyota Technological Institute Japan (corporate)
Notable Faculty
- Avrim Blum — Theoretical Computer Science and Machine Learning
- Julia Chuzhoy — Approximation algorithms and hardness of approximation
- Karen Livescu — Speech and language processing
- Nathan Srebro — Statistical and computational machine learning
- Greg Shakhnarovich — Computational vision and machine learning
Location Advantages: Located in ChicagoAccess to University of Chicago area research community
