Best Associate's Data Science Degree Programs in Oklahoma
Seminole State College — Seminole, OK
Hakia Insight: Seminole State's associate degree positions you for entry-level analytics roles in your community without the credential debt of a bachelor's, making it the pragmatic choice if your regional employers (government offices, school districts, healthcare) actively hire at the associate level—which most do.
At the associate's level, if you want foundational data literacy and entry-level analytics skills without leaving your community, Seminole State delivers practical coursework in spreadsheet mastery, basic database concepts, and data interpretation. The college's smaller class sizes mean instructors know your strengths and can guide your path—whether that's transferring to a university program or moving into a data-adjacent role locally. You'll work with tools like Excel, Access, and SQL fundamentals in a supportive environment. The program emphasizes real-world problem-solving and prepares you for both further education and immediate employment in administrative or analytics support roles.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Career Outcomes
Top Employers: Local government offices, Regional healthcare facilities, School districts, Small to mid-size regional businesses.
Top Transfer Destinations
- Oklahoma State University (OSU)
- University of Central Oklahoma (UCO)
- Northeastern State University (NSU)
Entry-Level Career Paths
- Data Entry Analyst
- Administrative Assistant (data-focused)
- Business Analyst (entry-level)
- Report Coordinator
- Database Support Technician
Included Certifications
- Microsoft Office Specialist (Excel)
- CompTIA A+ (IT fundamentals pathway)
Location Advantages:
Murray State College — Tishomingo, OK
Hakia Insight: Murray State's focus on real business problems with Excel and SQL mirrors what you'll actually use in your first job, avoiding the theory-practice gap that leaves many bachelor's graduates overqualified and underemployed in regional labor markets.
At the associate's level, murray State College delivers practical data analytics training focused on real business problems you'll encounter in your first job. You'll work with Excel, SQL, and basic statistical analysis while building a portfolio that demonstrates your capabilities to employers. The program's biggest asset is its location in the Oklahoma panhandle and strong connections to regional employers who actively recruit graduates. Whether you transfer to a four-year program or step directly into the workforce, you'll leave with skills that create immediate value. Instruction emphasizes application over theory, preparing you for the working 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
Top Employers: Panhandle school districts, County and local government, Regional businesses, Healthcare facilities.
Top Transfer Destinations
- Oklahoma State University (OSU)
- Southwestern Oklahoma State University (SWOSU)
- University of Central Oklahoma (UCO)
Entry-Level Career Paths
- Data Analyst
- Business Analyst (entry-level)
- Administrative Data Specialist
- Report Coordinator
- Database Support Technician
Included Certifications
- Microsoft Office Specialist (Excel)
- CompTIA A+ (pathway courses)
Location Advantages:
Best Bachelor's Data Science Degree Programs in Oklahoma
University of Oklahoma-Norman Campus — Norman, OK
Key Distinction: OU's data science program combines research intensity and federal partnerships—particularly in climate and computational science—with strong industry recruitment from major tech firms.
Hakia Insight: OU's partnership with NOAA and the Center for Analysis and Prediction of Storms gives undergraduates rare access to federal climate research infrastructure and datasets, creating a pipeline into both climate tech (a sector growing 3x faster than general tech) and government science careers.
At the bachelor's level, the University of Oklahoma's data science offerings blend research strength with professional application, anchored in strong computer science and statistics foundations. OU's graduate programs—including the MS in Data Science and related concentrations—draw on faculty expertise in machine learning, natural language processing, and large-scale data systems. The institution houses active research centers where students can engage in funded projects, particularly in areas like weather and climate informatics (through partnerships with NOAA and meteorological research), computational biology, and energy systems analysis. The undergraduate pathway provides early exposure to data science methods through the computer science curriculum and applied mathematics options. Graduate students benefit from OU's proximity to federal research dollars and collaborations with national laboratories. Internship and career placement networks are extensive, with recruiters from Google, Microsoft, Amazon, and mid-market tech firms regularly visiting campus. The Norman location sits within reach of Oklahoma City's growing tech sector, and the university itself is a major regional employer and research hub.
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
- School of Computer Science Research Groups
- Center for Analysis and Prediction of Storms (CAPS)
Industry Partners
- Google (corporate)
- Microsoft (corporate)
- Amazon (corporate)
- NOAA (government)
Admissions
GPA Requirement: 3.0.
Accreditations and Certifications
- ABET accredited (Computer Science programs)
Location Advantages: Access to NOAA partnerships and weather/climate research infrastructureProximity to Oklahoma City tech ecosystem and growing startup communityRegional hub for federal research funding and national laboratory collaborations
University of Tulsa — Tulsa, OK
Key Distinction: Job placement guarantee program through CaneCareers. Undergraduate research opportunities under faculty guidance
Hakia Insight: University of Tulsa's job placement guarantee through CaneCareers is uncommon at the bachelor's level and signals confidence in graduate outcomes; paired with ConocoPhillips headquarters proximity, it creates a direct funnel into energy sector analytics roles that typically require relocation for graduates elsewhere.
The University of Tulsa's Bachelor of Science in Data Science program equips students with essential skills to harness the power of data through a blend of statistics, programming, and domain-specific knowledge. Students gain proficiency in cutting-edge tools and techniques for data analysis, statistical analysis, programming, and data visualization. The program prepares graduates for high-demand careers across finance, healthcare, technology, and marketing sectors. UTulsa offers a job placement guarantee through CaneCareers, promising graduates will land entry-level positions in their chosen field or continue education within six months of graduation, or receive a free semester of graduate school. The university boasts a 96% placement rate and 9:1 student-faculty ratio, providing personalized attention and research opportunities under experienced faculty guidance within the Tandy School of Computer Science.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus. B.S.D.S.
Research Labs and Institutes
- Collins College of Business Research Centers
Industry Partners
- ConocoPhillips (corporate)
- American Airlines (corporate)
Career Outcomes
Top Employers: intel.
Location Advantages: Located in Tulsa with strong connections to energy sector (ConocoPhillips headquarters)Proximity to growing tech startup ecosystem and regional finance sector
Northeastern State University — Tahlequah, OK
Key Distinction: NSU's data science program emphasizes analytical communication and applied problem-solving in an affordable, small-cohort environment with regional health and government partnerships.
Hakia Insight: Northeastern State's partnerships with Oklahoma tribal nations and regional health systems embed you in underserved markets where data science talent is scarce, creating disproportionately strong job prospects and the chance to build domain expertise in healthcare analytics before graduation.
At the bachelor's level, northeastern State University's data science curriculum centers on building analytical problem-solving skills through a measured progression from statistics and programming to machine learning and data engineering. The program integrates domain applications across business, health sciences, and environmental management—reflecting NSU's diverse student body and regional partnerships. Teaching emphasizes reproducibility and clear communication of findings, preparing students not just to build models but to explain and defend them to non-technical stakeholders. Faculty collaborate with students on applied research projects, often drawing from partnerships with Oklahoma tribal nations, healthcare systems, and government agencies. The small cohort sizes mean students receive individualized attention and mentorship as they move through capstone projects. Career outcomes tend toward analyst and junior data scientist roles at regional employers, with some graduates pursuing graduate study. The program deliberately keeps tuition and fees low, making it an attractive entry point for first-generation and working-class students entering the data field.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Location Advantages: Partnerships with Oklahoma tribal nations and health systems in northeastern Oklahoma
Cameron University — Lawton, OK
Key Distinction: Cameron's data science program prioritizes accessibility and workforce relevance for working adults and rural Oklahoma communities, with flexible delivery and applied regional focus.
Hakia Insight: Cameron's explicit design for working adults and rural Oklahoma communities means flexible scheduling isn't an afterthought but the program architecture—if you need to earn while studying, this program won't force the false choice between completion and employment.
At the bachelor's level, cameron University's data science programming reflects the institution's commitment to practical, workforce-aligned education with a focus on rural and regional Oklahoma communities. The program emphasizes applied statistics and business analytics as entry points to the field, building from foundational mathematics and programming through to predictive modeling and visualization. What makes Cameron distinct is its attention to affordability and accessibility: the program is designed for commuter and working-adult students, with evening and hybrid course options. Curricula integrate real-world data from agricultural systems, small business operations, and public sector applications—areas where Oklahoma employers have immediate need. Faculty maintain active consulting relationships, bringing current industry challenges into the classroom. Graduates predominantly move into data analyst and business intelligence roles at regional employers, state government agencies, and small-to-medium enterprises. The advising model is particularly student-centered, with advisors who help students navigate credit transfers, work schedules, and career transitions.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Location Advantages: Positioned to serve rural and regional Oklahoma, with connections to agricultural and small business sectors
Oklahoma State University-Main Campus — Stillwater, OK
Key Distinction: Technology Success Skills Application capstone course. Business Analytics Fundamentals with hands-on component
Hakia Insight: Oklahoma State's BSBA structure in Management Information Systems: Data Science combined with proximity to ConocoPhillips and Phillips 66 creates an unusual advantage for students wanting business analytics over pure data engineering—you graduate with both technical credibility and business fluency that pure CS programs don't teach.
The Bachelor of Science in Business Administration (BSBA) in Management Information Systems: Data Science at Oklahoma State University is a 120-credit program that combines business fundamentals with data analytics and information systems. The curriculum includes a 67-hour major requirement with core courses in programming, database systems, web development, cybersecurity, and systems analysis. Students complete 12 hours from specialized analytics electives including Business Intelligence, Predictive Analytics, Data Visualization, and AI. The program requires a minimum 2.20 GPA in major courses and mandates that 50% of business hours be completed at OSU. Students gain hands-on experience through required courses in Business Data Science Technologies, Analytics Programming, and a capstone Technology Success Skills Application course. The structured four-year plan integrates general education with progressive technical skills development.
Programs Offered
- Bachelor of Science in Business Administration in Management Information Systems: Data Science — 4 years, on-campus. BSBA
Research Labs and Institutes
- OSU Advanced Research Computing Center
Industry Partners
- ConocoPhillips (corporate)
- Phillips 66 (corporate)
- Oklahoma Department of Energy Resources (government)
Admissions
GPA Requirement: 2.50. Application Deadline: Fall: June 1, Spring: November 1.
Requirements: Minimum overall GPA of 2.50, Minimum GPA of 2.20 in 67 hours of major requirements, Minimum GPA of 2.00 in 37 hours of Management Information Systems major requirements, 21 of 37 major hours must be in residence at OSU, 50% of business hours must be OSU delivered, 45 hours of upper-division courses required, At least 30 hours completed at OSU, 15 of final 30 or 50% of upper-division major hours completed at OSU
Accreditations and Certifications
Location Advantages: Proximity to ConocoPhillips and Phillips 66 headquarters and operationsAccess to agricultural technology and precision agriculture sector in OklahomaRegional energy sector employment pipeline (oil, gas, renewables)
Oklahoma Christian University — Edmond, OK
Key Distinction: Oklahoma Christian embeds data science within a broader computer science degree, enabling students to pursue analytics depth without abandoning software engineering skills—a practical hybrid.
Hakia Insight: Oklahoma Christian's strategy of embedding data science within computer science rather than isolating it as a separate major means graduates retain software engineering skills that pure analytics programs discard—a hybrid skillset increasingly demanded by companies building production ML systems.
At the bachelor's level, oklahoma Christian University's data science track emerges from a computer science program that has steadily expanded its analytics and machine learning course offerings to reflect industry demand. Rather than creating an isolated data science degree, the university integrates data-focused electives and projects throughout the computer science curriculum, allowing students to pursue depth in analytics while maintaining breadth in software engineering and systems thinking. This hybrid approach appeals to students uncertain whether they want to specialize purely in data or keep options open for broader technical roles. Faculty maintain active connections to Oklahoma City's growing tech community, occasionally bringing practitioners into the classroom to discuss real problems they face at companies like Paycom and smaller tech startups. Capstone projects give students the chance to work with real datasets and industry mentors, translating classroom learning into portfolio-ready work. Graduates have moved into data analyst, software engineer, and analytics engineer roles depending on their elective choices and internship experiences, suggesting that the program's flexibility attracts students with diverse technical interests who happen to want some analytics exposure.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Industry Partners
- Google (employer)
- Amazon (employer)
- Paycom (employer)
- Tinker Air Force Base (employer)
- Walmart (employer)
Career Outcomes
Median Salary: $NaN. Top Employers: Paycom.
Notable Faculty
- Dr. Justin Lewis — Computer Science
- Jeff Bigelow — Electrical Engineering
- Colin Doyle — Computer Engineering
- Steven Maher — Electrical Engineering
- Jeremy Poole — Electrical Engineering
- David Waldo — Computer Engineering
- Byron Newberry — Engineering
- Andrea Ashley — Electrical Engineering
Accreditations and Certifications
- Higher Learning Commission
- ABET
- NSA and DHS National Center of Academic Excellence in Cyber Defense Education (CAE-CD)
Location Advantages: Proximity to Oklahoma City tech sector including Paycom headquarters
University of Central Oklahoma — Edmond, OK
Key Distinction: UCO combines technical depth in data engineering and analytics with strong regional employer partnerships and flexible pathways for working professionals.
Hakia Insight: UCO's emphasis on data engineering alongside analytics, combined with Fortune 500 employer proximity in Oklahoma City, positions graduates for higher salaries in infrastructure-heavy roles (data engineering typically pays 12–15% above analytics) that most regional programs don't teach.
At the bachelor's level, UCO's data science program builds on the university's strength in applied computer science and mathematics, offering students a clear technical pipeline from foundational programming through advanced analytics. The curriculum emphasizes both breadth and depth: students gain competency across Python, SQL, statistics, and machine learning frameworks while pursuing concentration options in areas like business intelligence, predictive analytics, or data engineering. Faculty maintain active connections to industry, bringing real-world problems into the classroom and opening doors for internships and research collaborations. The program benefits from UCO's location in Edmond and proximity to Oklahoma City's diverse employer base—students access internship and job opportunities at Fortune 500 companies, startups, and government agencies. Capstone projects often address challenges brought by regional partners, giving students portfolios grounded in real impact. The school serves a broad demographic, including working professionals, and offers flexible scheduling to accommodate diverse student needs. Graduates report strong career progression, particularly in data analyst and junior data scientist roles across energy, finance, and technology sectors.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Admissions
GPA Requirement: 3.0 minimum overall or in last 60 hours.
Requirements:
Location Advantages: Proximity to Oklahoma City technology and energy sector employersAccess to Fortune 500 companies headquartered or operating in the metro area
Best Master's Data Science Degree Programs in Oklahoma
University of Oklahoma-Norman Campus — Norman, OK
Key Distinction: 100% online format designed for working professionals. Small cohort-based learning
Hakia Insight: OU's partnership with NOAA gives online students rare access to weather prediction research infrastructure—a credential that carries weight in climate tech and federal contracting, sectors where most master's graduates never get fieldwork visibility.
The online Master of Science in Data Science and Analytics from OU is a 33-credit program designed for working professionals, offering 100% online delivery with flexible scheduling. The program can be completed in 24+ months full-time with 10-20 hours weekly time commitment, featuring fall, spring, and summer start dates. Students work in small cohorts and gain hands-on experience through the Data Science and Analytics Institute, collaborating with industry leaders. The curriculum covers advanced programming, statistical modeling, data mining, and visualization. A required Professional Practice component provides real-world project experience with approved sponsors. Graduates are positioned for significant salary advancement, with median data scientist pay at $112,590 and 36% job growth expected by 2033. Total program cost is $33,495 with financial aid and employer tuition assistance available.
Programs Offered
- Master of Science in Data Science and Analytics — 1-2 years, on-campus. MS
Research Labs and Institutes
- School of Computer Science Research Groups
- Center for Analysis and Prediction of Storms (CAPS)
Industry Partners
- Google (corporate)
- Microsoft (corporate)
- Amazon (corporate)
- NOAA (government)
Career Outcomes
Median Salary: $NaN. Top Employers: Intel.
Admissions
GPA Requirement: 3.0.
Requirements: Professional Practice experience with approved project sponsor, Written report and oral presentation
Accreditations and Certifications
- ABET accredited (Computer Science programs)
Location Advantages: Access to NOAA partnerships and weather/climate research infrastructureProximity to Oklahoma City tech ecosystem and growing startup communityRegional hub for federal research funding and national laboratory collaborations
University of Central Oklahoma — Edmond, OK
Key Distinction: Thesis vs non-thesis track options (thesis, graduate project, internship, or additional coursework). Internship opportunities in computer science or statistics for credit
Hakia Insight: UCO's internship-for-credit option lets students compress their degree while building employer relationships simultaneously, a practical advantage over programs that treat internships as separate from degree completion.
The Master of Science in Data Science at UCO is a 36-credit program designed to prepare students for industry careers or PhD studies. Students can choose between thesis and non-thesis tracks, with options for thesis, graduate project, internship, or additional coursework to complete the final 3 hours. The curriculum combines computer science and statistics coursework, covering artificial intelligence, machine learning, database systems, software engineering, regression analysis, data visualization, and data mining. Students can gain practical experience through internships in computer science or statistics. The program offers flexibility with guided electives allowing 3-6 hours from math/statistics and 3-6 hours from computer science/software engineering. Prerequisites include matrix algebra, statistical methods, data structures and algorithms, and upper-division programming with design patterns. The GRE is not required but recommended with a minimum 300 combined score. Conditional admission is available for students with lower GPAs who have relevant work experience.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus. MS
Admissions
GPA Requirement: 3.0 minimum overall or in last 60 hours.
Requirements: Minimum 3.0 cumulative graduate GPA, No more than 6 credit hours of C or lower grades, Plan of study filed by end of first semester, Public thesis defense if thesis option selected
Location Advantages: Proximity to Oklahoma City technology and energy sector employersAccess to Fortune 500 companies headquartered or operating in the metro area
University of Tulsa — Tulsa, OK
Key Distinction: TU's graduate data science program offers flexible degree and certificate pathways with deep industry connections in energy, finance, and technology—ideal for working professionals.
Hakia Insight: Tulsa's dual MA/MS pathway and ConocoPhillips proximity create an unusual advantage: energy sector professionals can pursue either a theoretical or applied degree track without relocating, unlike competitors who force a single credential path.
At the master's level, the University of Tulsa's data science programs leverage the school's location in Oklahoma's second-largest metropolitan area and its strong ties to energy, finance, and technology sectors. TU offers both undergraduate and graduate pathways with specialization tracks in machine learning, business analytics, and computational data science. The graduate program particularly stands out for its flexibility—students can pursue a full MS in Data Science or earn a Graduate Certificate while taking other degrees, accommodating working professionals and those seeking targeted expertise. Faculty research spans predictive analytics, big data systems, and domain-specific applications in energy informatics and financial modeling. The curriculum balances theoretical foundations with applied projects, and students work directly with Tulsa-area companies on real datasets and business challenges. Internship placement is strong, with students moving into roles at ConocoPhillips, American Airlines, and regional financial institutions, as well as startups in the Tulsa tech scene. The relatively small class sizes mean personalized advising and mentorship from faculty who know students by name.
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
- Collins College of Business Research Centers
Industry Partners
- ConocoPhillips (corporate)
- American Airlines (corporate)
Location Advantages: Located in Tulsa with strong connections to energy sector (ConocoPhillips headquarters)Proximity to growing tech startup ecosystem and regional finance sector
Oklahoma State University-Main Campus — Stillwater, OK
Key Distinction: 24/7 online course availability for working professionals. STEM-designated program
Hakia Insight: OSU's 2.50 GPA floor and 24/7 course availability eliminate the gatekeeping that blocks working professionals at peer institutions—combined with STEM designation for visa benefits, this removes three major barriers competitors maintain.
The online MS in Business Analytics and Data Science (MS BAnDS) is a STEM-designated 33-credit program specifically designed for working professionals seeking to transition into analytics and data science roles. The program offers 24/7 online course availability to accommodate professional schedules. Students gain hands-on experience with enterprise-level software including Alteryx, Azure, Python, R, SAS, Tableau, and TensorFlow. The curriculum allows specialization through pre-approved tracks or customized electives to fit career goals. Graduates typically secure roles as data scientists, business analysts, consultants, or statistical analysts. The program is consistently ranked among the nation's best by Fortune. Applicants with 5+ years relevant work experience may qualify for probationary admission without GRE/GMAT scores. A Graduate Certificate pathway allows professionals to test the program with two core courses before committing to the full degree, with all credits transferable to the MS program.
Programs Offered
- Master of Science in Business Analytics and Data Science — 1-2 years, on-campus. MS
Research Labs and Institutes
- OSU Advanced Research Computing Center
Industry Partners
- ConocoPhillips (corporate)
- Phillips 66 (corporate)
- Oklahoma Department of Energy Resources (government)
Admissions
GPA Requirement: 2.50. Application Deadline: Fall: June 1, Spring: November 1.
Requirements: Personal Statement, 3 Letters of Recommendation
Accreditations and Certifications
Location Advantages: Proximity to ConocoPhillips and Phillips 66 headquarters and operationsAccess to agricultural technology and precision agriculture sector in OklahomaRegional energy sector employment pipeline (oil, gas, renewables)
Oklahoma Christian University — Edmond, OK
Key Distinction: Oklahoma Christian embeds data science within a broader computer science degree, enabling students to pursue analytics depth without abandoning software engineering skills—a practical hybrid.
Hakia Insight: Oklahoma Christian's decision to embed data science within computer science (rather than isolate it) means graduates leave with both analytics depth and software engineering credibility—a rare dual-skill profile that tech teams value over pure data specialists.
At the master's level, oklahoma Christian University's data science track emerges from a computer science program that has steadily expanded its analytics and machine learning course offerings to reflect industry demand. Rather than creating an isolated data science degree, the university integrates data-focused electives and projects throughout the computer science curriculum, allowing students to pursue depth in analytics while maintaining breadth in software engineering and systems thinking. This hybrid approach appeals to students uncertain whether they want to specialize purely in data or keep options open for broader technical roles. Faculty maintain active connections to Oklahoma City's growing tech community, occasionally bringing practitioners into the classroom to discuss real problems they face at companies like Paycom and smaller tech startups. Capstone projects give students the chance to work with real datasets and industry mentors, translating classroom learning into portfolio-ready work. Graduates have moved into data analyst, software engineer, and analytics engineer roles depending on their elective choices and internship experiences, suggesting that the program's flexibility attracts students with diverse technical interests who happen to want some analytics exposure.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Industry Partners
- Google (employer)
- Amazon (employer)
- Paycom (employer)
- Tinker Air Force Base (employer)
- Walmart (employer)
Career Outcomes
Median Salary: $NaN. Top Employers: Paycom.
Notable Faculty
- Dr. Justin Lewis — Computer Science
- Jeff Bigelow — Electrical Engineering
- Colin Doyle — Computer Engineering
- Steven Maher — Electrical Engineering
- Jeremy Poole — Electrical Engineering
- David Waldo — Computer Engineering
- Byron Newberry — Engineering
- Andrea Ashley — Electrical Engineering
Accreditations and Certifications
- Higher Learning Commission
- ABET
- NSA and DHS National Center of Academic Excellence in Cyber Defense Education (CAE-CD)
Location Advantages: Proximity to Oklahoma City tech sector including Paycom headquarters
Oral Roberts University — Tulsa, OK
Key Distinction: ORU's data science program uniquely prioritizes ethical data practice and societal impact alongside technical mastery, appealing to purpose-driven students.
Hakia Insight: ORU's explicit ethics-first curriculum design appeals to a real market: mission-driven organizations and nonprofits increasingly require certified ethical AI practitioners, a competitive positioning most programs ignore entirely.
At the master's level, ORU's data science program weaves computational and statistical skills into a broader education framework that emphasizes ethics, leadership, and societal impact. The curriculum covers essential technical ground—programming, databases, statistical analysis, and machine learning—while deliberately incorporating case studies that challenge students to consider data's role in decision-making across business, healthcare, and public sectors. Faculty bring both technical credentials and an explicit commitment to mentoring the whole student, not just the data scientist. Hands-on learning happens through capstone projects, data competitions, and partnerships with nonprofit organizations seeking analytical support. This values-driven approach attracts students motivated by meaningful work and attracts employers looking for analytically skilled professionals with strong communication and ethical reasoning. The Tulsa location offers proximity to energy companies and mid-market firms, though many graduates pursue roles in mission-driven organizations. ORU's smaller class sizes and residential culture foster collaborative learning and strong alumni networks.
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: Tulsa's energy and financial services sectorsAccess to mission-driven organizations seeking data talent
Best Doctoral Data Science Degree Programs in Oklahoma
University of Oklahoma-Norman Campus — Norman, OK
Key Distinction: Collaboration between Schools of Computer Science and Industrial & Systems Engineering. Flexible start dates (Fall, Spring, Summer)
Hakia Insight: OU's cross-school PhD structure (Computer Science + Industrial Engineering) forces students to bridge optimization and machine learning early—a methodological advantage that surfaces in industry research roles faster than single-department programs.
The PhD in Data Science and Analytics at OU is offered through collaboration between Computer Science and Industrial & Systems Engineering schools. The program can be completed on-campus, online, or hybrid format. Students can begin in Fall, Spring, or Summer semesters. Prerequisites include Calculus I & II, Linear Algebra, and two semesters of programming (Java or C++ preferred). Admission requires a completed bachelor's degree with 3.0 GPA, official transcripts, statement of purpose, resume, and two letters of recommendation. The program note states departmental financial support is not guaranteed to all admitted students. The content does not provide specific details about funding packages, stipend amounts, tuition waivers, publication requirements, qualifying exam structure, dissertation requirements, time to degree, or post-graduation placement rates for the PhD program.
Programs Offered
- PhD in Data Science and Analytics — 4-6 years, on-campus. PhD
Research Labs and Institutes
- School of Computer Science Research Groups
- Center for Analysis and Prediction of Storms (CAPS)
Industry Partners
- Google (corporate)
- Microsoft (corporate)
- Amazon (corporate)
- NOAA (government)
Admissions
GPA Requirement: 3.0.
Requirements: Completed Bachelor's degree, Official transcripts, Statement of purpose, Resume, Two letters of recommendation
Accreditations and Certifications
- ABET accredited (Computer Science programs)
Location Advantages: Access to NOAA partnerships and weather/climate research infrastructureProximity to Oklahoma City tech ecosystem and growing startup communityRegional hub for federal research funding and national laboratory collaborations
University of Tulsa — Tulsa, OK
Key Distinction: TU's graduate data science program offers flexible degree and certificate pathways with deep industry connections in energy, finance, and technology—ideal for working professionals.
Hakia Insight: Tulsa's dual PhD/DScience offering lets candidates choose between academic rigor and practitioner focus without reapplying, a flexibility that matters when energy companies and startups hire differently than universities.
At the doctoral level, the University of Tulsa's data science programs leverage the school's location in Oklahoma's second-largest metropolitan area and its strong ties to energy, finance, and technology sectors. TU offers both undergraduate and graduate pathways with specialization tracks in machine learning, business analytics, and computational data science. The graduate program particularly stands out for its flexibility—students can pursue a full MS in Data Science or earn a Graduate Certificate while taking other degrees, accommodating working professionals and those seeking targeted expertise. Faculty research spans predictive analytics, big data systems, and domain-specific applications in energy informatics and financial modeling. The curriculum balances theoretical foundations with applied projects, and students work directly with Tulsa-area companies on real datasets and business challenges. Internship placement is strong, with students moving into roles at ConocoPhillips, American Airlines, and regional financial institutions, as well as startups in the Tulsa tech scene. The relatively small class sizes mean personalized advising and mentorship from faculty who know students by name.
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
- Collins College of Business Research Centers
Industry Partners
- ConocoPhillips (corporate)
- American Airlines (corporate)
Location Advantages: Located in Tulsa with strong connections to energy sector (ConocoPhillips headquarters)Proximity to growing tech startup ecosystem and regional finance sector
Oklahoma State University-Main Campus — Stillwater, OK
Key Distinction: Full funding for all qualified students ($25,000 annual stipend + full tuition waiver + fee waiver + health insurance). Up to $5,560 additional summer support available
Hakia Insight: OSU's guaranteed $25K stipend + full tuition elimination removes the financial gambling that plagues most PhD programs—and the additional $5.5K summer support specifically funds research travel, not just survival.
The Management Information Systems Ph.D. program prepares students for academic careers at research universities. All qualified students receive full funding packages including $25,000 annual stipend, full tuition waiver, fee waiver, and health insurance through graduate research assistantships (GRA) initially and graduate teaching assistantships (GTA) later in the program. Students work 20 hours per week and may receive up to $5,560 additional summer support. The program requires 60 credit hours including 15 hours of methods courses, 12 hours of MSIS core seminars, and 18 hours of dissertation research. Research areas include data analytics, data science, healthcare analytics, privacy and security, e-commerce, and social networking. Faculty are nationally and internationally recognized researchers. Admission requirements include a master's degree, minimum 3.5 GPA (recent average 3.83), and GMAT 600+/GRE 320+ (recent averages 683/323). The program is full-time, on-campus only, with fall admission and December 15 priority deadline.
Programs Offered
- Doctorate in Business Administration - Management Information Systems — 4-6 years, on-campus. Ph.D.
Research Labs and Institutes
- OSU Advanced Research Computing Center
Industry Partners
- ConocoPhillips (corporate)
- Phillips 66 (corporate)
- Oklahoma Department of Energy Resources (government)
Admissions
GPA Requirement: 2.50. Application Deadline: Fall: June 1, Spring: November 1.
Requirements: 15 hours approved methods courses, 12 hours core seminar and practicum from MSIS, 6 hours seminar/practicum chosen with faculty committee, 6 hours approved electives, 18 hours dissertation
Accreditations and Certifications
Location Advantages: Proximity to ConocoPhillips and Phillips 66 headquarters and operationsAccess to agricultural technology and precision agriculture sector in OklahomaRegional energy sector employment pipeline (oil, gas, renewables)
