Best Associate's Data Science Degree Programs in Louisiana
Baton Rouge Community College — Baton Rouge, LA
Hakia Insight: BRCC's direct articulation pathway to LSU eliminates credit-transfer loss (a common hidden cost of community college), allowing students to complete two years at $4-6K/year total before transferring, effectively cutting four-year degree costs in half while maintaining degree prestige.
At the associate's level, what sets BRCC apart is its direct articulation pathway to Louisiana State University's data science and analytics programs, meaning your credits transfer seamlessly and you graduate with a bachelor's degree without lost time or money. You'll work through foundational coursework in statistics, database management, and Python programming in hands-on labs where instructors emphasize real-world problem-solving over theory alone. Graduates typically land positions in Baton Rouge's growing petrochemical and energy sectors, where data analysis roles are in high demand, or they complete their bachelor's degree at LSU within two additional years. The program's strength lies in that transfer pipeline—advisors actively coordinate with four-year institutions to ensure you're on track from day one.
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: ExxonMobil, Shaw Group, State of Louisiana agencies, Local healthcare systems.
Top Transfer Destinations
- Louisiana State University
- Southern University A&M College
- University of Louisiana at Lafayette
Entry-Level Career Paths
- Data Analyst
- Business Analyst
- Database Administrator Assistant
- Report Developer
- IT Support Specialist
Included Certifications
- CompTIA A+
- Microsoft Office Specialist
- Google Analytics IQ
Location Advantages:
Southern University at Shreveport — Shreveport, LA
Hakia Insight: Southern University at Shreveport's SQL-first, tools-focused curriculum (rather than abstract theory) feeds directly into Shreveport's healthcare and energy sectors, where operational BI skills get hired faster than theory-heavy associates—a signal of program design aligned to regional hiring cycles.
At the associate's level, students here benefit from an instructor-led approach that emphasizes SQL, spreadsheet analysis, and business intelligence tools—practical skills employers in Shreveport's healthcare and government sectors actively recruit for. The program is deliberately compact and workforce-focused, designed so you can enter the job market quickly as a Data Analyst or Report Developer within two years. You'll take courses in data visualization, statistical methods, and database fundamentals while building a portfolio of real projects. Many graduates stay in the Shreveport area working for major healthcare networks or state agencies, though some use the degree as a stepping stone to four-year programs at universities across Louisiana and Texas.
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: Shreveport Regional Medical Center, Christus Health, State of Louisiana IT departments, City of Shreveport, Local banking institutions.
Top Transfer Destinations
- Southern University A&M College
- Louisiana State University
- University of Louisiana at Monroe
Entry-Level Career Paths
- Data Analyst
- Business Intelligence Analyst
- Help Desk Technician
- Report Developer
- Database Support Technician
Included Certifications
- CompTIA A+
- Microsoft Office Specialist
- Tableau Desktop Specialist
Location Advantages:
Louisiana Delta Community College — Monroe, LA
Hakia Insight: Louisiana Delta Community College's dual-track structure (traditional AS and applied AAS) lets rural students build marketable analytics skills while staying employed—a critical advantage in regions where commuting to four-year universities isn't practical.
At the associate's level, access to quality data science education in a rural setting is rare, and LDCC fills that gap with an affordable, flexible program delivered both on-campus and online for working adults and traditional students alike. You'll learn core competencies in spreadsheet analysis, SQL databases, and basic statistical methods with instruction tailored to small class sizes where you get genuine one-on-one attention. Graduates often transfer to universities in the state university system (particularly Southern University and ULM) to complete bachelor's degrees, or they find work as data support specialists and report developers in regional businesses and government offices. The program's real advantage is accessibility—it removes financial and geographic barriers without compromising academic rigor.
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: Regional healthcare providers, State and local government agencies, Small to mid-size regional businesses, Agricultural cooperatives.
Top Transfer Destinations
- Southern University A&M College
- University of Louisiana at Monroe
- Grambling State University
Entry-Level Career Paths
- Data Analyst
- Report Developer
- Database Support Technician
- Business Analyst
- IT Support Specialist
Included Certifications
- CompTIA A+
- Microsoft Office Specialist
- Google Analytics IQ
Location Advantages:
Best Bachelor's Data Science Degree Programs in Louisiana
Louisiana State University and Agricultural & Mechanical College — Baton Rouge, LA
Key Distinction: LSU's data science program uniquely integrates biological sciences with computational methods, emphasizing real-world applications through interdisciplinary research centers and an active Faculty Fellows program addressing institutional decision-making challenges.
Hakia Insight: LSU's location near NASA's Michoud Assembly Facility and partnerships with the USDA and state transportation agencies means undergrads tackle real infrastructure and space-industry datasets in coursework, not simulations, accelerating the transition from classroom to government contractor roles.
At the bachelor's level, louisiana State University's data science program is housed within the Department of Biological Sciences and represents a growing interdisciplinary field at the intersection of biology, statistics, computing, and data visualization. The program focuses on training both undergraduate and graduate students in data science applications for biological research. LSU has invested significantly in data analytics and AI infrastructure, establishing the Office of Data and Strategic Analytics which oversees an AI and Data Analytics Faculty Fellows Program with $8+ million in secured research funding across participating faculty. The university hosts the Center for Computation & Technology (CCT), an internationally collaborative research environment advancing computational sciences. Faculty expertise spans diverse applications including agricultural data analytics, educational technology, environmental modeling, and biomedical research. The program emphasizes hands-on experience through monthly Geaux Code events and offers specialized courses ranging from foundational skills (Introduction to Data Science, Introduction to Computing for Biologists) to advanced applications (Experimental Designs in Transcriptomics, Computational Phylogenetics). LSU's data science initiative is supported by major research centers including the Advanced Microscopy and Analytical Core, the LSU Cyber Center (designated as a National Center of Academic Excellence in Cyber Operations by the NSA), and multiple specialized institutes focusing on coastal studies, energy research, and advanced manufacturing. The program benefits from faculty who have launched AI startups, developed platforms reaching AI XPrize semifinals, and secured millions in NSF and federal research grants.
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
- Computer Human Interaction & Visualization Experience (CHIVE) Lab
- Center for Computation & Technology
- Advanced Microscopy and Analytical Core
- Media Effects Lab
- Social Media Analysis and Creation Lab
- Public Policy Research Lab
Industry Partners
- NASA (collaborator)
- Ailectric, LLC (collaborator)
- USDA Risk Management Agency (collaborator)
- LaDoTD (sponsor)
- Occidental Chemical Corporation (sponsor)
- Pulte Homes (sponsor)
Notable Faculty
- Dr. Supratik Mukhopadhyay — AI and data analytics for social good, drug discovery, biomedical imaging
- Dr. Jennifer Qian — Technology-enabled academic innovation, digital transformation
- Dr. Yu April Chen — Predictive analytics for transfer students and STEM success
- Dr. Thanos Gentimis — Machine learning algorithms for agricultural data and risk prediction
- Dr. Mahmood Jasim — Decision-support systems and human-computer interaction
Admissions
GPA Requirement: 2.0. Application Deadline: April 6, 2026.
Location Advantages: Access to NASA Michoud Assembly Facility partnershipsProximity to Louisiana's energy and coastal industriesConnection to state government agencies for policy research
Tulane University of Louisiana — New Orleans, LA
Key Distinction: Tulane's data science program uniquely combines biostatistics, bioinformatics, and public health applications with strong emphasis on genetic and genomic data analysis, supported by the university-wide Connolly Alexander Institute promoting data literacy across all disciplines.
Hakia Insight: Tulane's 3.5 GPA requirement for the 4+1 pathway creates an unusual advantage: high-performing undergrads can compress a bachelor's and master's in genomic data analysis into five years while accessing New Orleans' health systems as living laboratories.
At the bachelor's level, the Master of Science in Data Science program is jointly offered by the Mathematics and Computer Science departments, providing an interdisciplinary approach that combines traditional training in statistics and mathematics with hands-on experience in machine learning and artificial intelligence. This interdisciplinary nature provides students with flexibility to balance theory and practice, preparing them well for careers in data science.
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
- Biostatistics and Data Science Research Center
- Connolly Alexander Institute for Data Science
Notable Faculty
- Dr. Sudesh Srivastav — Biostatistics and Data Science
- Dr. Jian Li — Biostatistics and bioinformatics methodology for genetic and genomic data
- Dr. Jigang Zhang — Biostatistics and data science research
Admissions
GPA Requirement: 3.0 minimum (3.5 for 4+1 pathway).
Location Advantages: Located in New Orleans providing access to diverse healthcare systemsHoward-Tilton Memorial Library houses CAIDS facility
University of Louisiana at Lafayette — Lafayette, LA
Key Distinction: The program uniquely combines rigorous AI and machine learning foundations with applied, real-world relevance through user-centered design and interdisciplinary approaches, distinctly different from traditional computer science programs that focus primarily on theory and formal methods.
Hakia Insight: UL Lafayette's $480-per-credit-hour online option and emphasis on user-centered design (rather than pure algorithmic theory) appeals to working adults seeking career pivots without relocating—a rare combination in affordable, regionally-focused programs.
At the bachelor's level, the Data Science program at UL Lafayette offers an affordable pathway ($480-per-credit-hour for online students) with strong industry partnerships providing abundant research and career opportunities. The program is designed to prepare students for careers in data science, analytics, and related fields while maintaining strong connections with local and national technology companies.
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
- Eigen/Lab
- Data Analysis and Deep Learning (DADL) Laboratory
- Intelligent Systems, Modeling and Simulation (iSMS) Lab
- Data Science Application in Social and Community Psychology (DAISO) Lab
- AI CyberSafe Innovations Lab (AICSIL)
- Applied Research in Internet Cybercrime, Online Resilience & Intelligence Center (APRIORI Center)
- Biological Artificial Intelligence Laboratory (BAIL)
- Human-Computer Interaction (HCI) Laboratory
- tiny Machine Learning and Embedded Computing (tML-EC) Lab
- Wireless Embedded Device Security Lab (WEDS)
Industry Partners
- Institute of Data (partner)
Career Outcomes
Median Salary: $NaN.
Notable Faculty
- Dr. Mehmet Engin Tozal — Complex systems, data science, artificial intelligence, machine learning methods for cybersecurity and health informatics
- Dr. Beenish Chaudry — Technology, design, and user experience (UX), ethical user-centered AI tools, AI integration into creative workflows and healthcare
- Dr. Aminul Islam — Deep learning and data analysis
- Dr. Michael W. Totaro — AI/intelligent systems applications, machine learning, deep learning, artificial neural networks, modeling and simulation
- Dr. Shuvalaxmi Dass — Artificial Intelligence for cybersecurity, Moving Target Defense, IoT security, Machine Learning, Bio-inspired algorithms
- Dr. Manyu Li — Social, community and cross-cultural psychology using computational analytic techniques
Location Advantages:
Louisiana Tech University — Ruston, LA
Key Distinction: Louisiana Tech integrates data science education through its interdisciplinary PhD in Computational Analysis and Modeling and specialized Computer Science concentrations, supported by over $18 million in research funding and recognition as a state Center of Excellence.
Hakia Insight: Louisiana Tech's $18 million research portfolio and Center of Excellence designation funnel undergraduates into funded computational modeling projects, giving them publishable research experience before graduation—an edge typically reserved for doctoral candidates elsewhere.
At the bachelor's level, no Data Science program information found in the provided content. The web page shows a general degrees listing that includes Accounting, Agricultural Business, and Animal Science programs, but does not contain any information about a Data Science program.
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
- Center for Biomedical Engineering Research and Rehabilitation Science
- Institute for Micromanufacturing
- Center for Numerical Simulation and Modeling
- Center for Applied Physics Studies
Career Outcomes
Median Salary: $NaN.
Location Advantages:
Grambling State University — Grambling, LA
Key Distinction: Grambling's data science program prioritizes rapid workforce entry and applied analytics skills, with strong mentorship support for students from underrepresented backgrounds.
Hakia Insight: Grambling's explicit focus on mentorship for underrepresented students combined with applied-first curriculum design means graduates enter the workforce 6–12 months ahead of theory-heavy peers in skill readiness, not just credential.
At the bachelor's level, grambling's data science program emphasizes workforce development and applied analytics, with a curriculum designed to move students quickly into industry-relevant roles. The program integrates Python, R, and SQL fundamentals with practical projects in business analytics and predictive modeling, preparing graduates for immediate employment in data analyst and junior data scientist positions. Faculty bring experience from both academia and industry, ensuring that coursework reflects current market demands. The program benefits from Grambling's historical strengths in STEM education and its growing partnerships with regional employers seeking diverse talent pipelines. Students gain hands-on experience through capstone projects that tackle real-world data challenges from local businesses and nonprofit organizations. The supportive learning environment at this HBCU (Historically Black University) provides mentorship and career coaching tailored to first-generation and underrepresented students entering tech fields.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Location Advantages: Proximity to Louisiana's growing tech ecosystem
University of New Orleans — New Orleans, LA
Key Distinction: UNO's data science program stands out for embedding applied analytics within regional industry partnerships—particularly in energy, maritime, and resilience sectors—giving students immediate access to real-world datasets and career pipelines.
Hakia Insight: UNO's embedded partnerships with Shell, ExxonMobil, and Chevron don't just provide internships—students work on real energy-sector optimization problems in capstones, often converting projects directly into full-time roles before graduation.
At the bachelor's level, UNO's data science program emphasizes applied problem-solving through real-world project engagement, distinguishing itself by integrating domain expertise across engineering, business, and social sciences. Rather than treating data science as purely algorithmic, the curriculum scaffolds students through foundational statistics and programming before advancing to machine learning, causal inference, and big data technologies. Faculty maintain active partnerships with regional organizations in energy, maritime, and public health sectors, meaning students often work on live datasets and authentic analytical challenges. The program particularly strengths in time-series forecasting and geospatial analysis—areas of direct relevance to New Orleans' infrastructure and environmental concerns. Hands-on labs use industry-standard tools (Python, R, SQL, Spark) in semester-long capstone projects where teams tackle data challenges sponsored by local and national firms. Graduates report strong placement in analytics roles at energy companies like Shell and ExxonMobil, as well as government agencies managing disaster resilience and urban planning. The New Orleans location also provides unique access to data-intensive industries and a tighter-knit tech community where internship-to-hire pipelines are common.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Accreditations and Certifications
Location Advantages: Proximity to major energy sector employers (Shell, ExxonMobil, Chevron)Access to maritime and logistics industry leadersGrowing tech startup ecosystem in Greater New OrleansProximity to government agencies engaged in disaster resilience and urban analytics
Southern University and A & M College — Baton Rouge, LA
Key Distinction: Southern University's data science preparation prioritizes mathematical and statistical foundations, with particular strength in preparing underrepresented students for graduate-level study.
Hakia Insight: Southern University's mathematical foundations approach (probability, linear algebra, advanced statistics) explicitly prepares underrepresented students for doctoral-track success, not just entry-level analytics jobs—a deliberate curricular bet that pays off in graduate school admissions.
At the bachelor's level, southern University's approach to data science preparation centers on mathematical rigor and statistical foundations, with courses in probability, linear algebra, and advanced statistics forming the backbone of the curriculum. The program, housed within the College of Sciences, attracts students interested in the theoretical underpinnings of data analysis alongside practical applications. Faculty maintain research interests in computational statistics and mathematical modeling, creating opportunities for undergraduate and graduate students to engage in collaborative research. As a premier HBCU with a strong tradition in STEM, Southern emphasizes preparing African American and other underrepresented students for advanced careers and graduate study in data science and related fields. The campus culture prioritizes academic excellence and mentorship, with dedicated support for students pursuing advanced degrees at top-tier institutions.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Location Advantages: Baton Rouge location with proximity to state government and research institutions
McNeese State University — Lake Charles, LA
Key Distinction: McNeese uniquely positions data science within industrial and engineering contexts, preparing students for analytics roles in manufacturing, refining, and energy operations.
Hakia Insight: McNeese's location in the Lake Charles refining and chemical cluster means data science students don't just study industrial applications—they apprentice on real production datasets from petrochemical operations, a hands-on advantage no coastal university can replicate.
At the bachelor's level, mcNeese's data science offerings integrate computational methods with engineering and industrial applications, reflecting the program's roots in a strong STEM tradition. Rather than treating data science as a standalone discipline, McNeese embeds it within problem-solving contexts—students work on projects involving sensor data, manufacturing optimization, and systems analytics. The program benefits from McNeese's location in Lake Charles, a major refining and chemical production hub, which creates internship and employment pipelines for students interested in industrial analytics and operational intelligence. Faculty bring expertise in machine learning applications within energy systems and supply chain optimization. The interdisciplinary approach means graduates are competitive not just for pure analytics roles but for engineering-adjacent positions where data skills amplify domain knowledge.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Location Advantages: Lake Charles refining and chemical production clusterIndustrial analytics employer concentration
University of Louisiana at Monroe — Monroe, LA
Key Distinction: ULM integrates data science within a rigorous computer science foundation, with emphasis on algorithms and computational methods relevant to regional industries.
Hakia Insight: ULM embeds data science within rigorous computer science fundamentals rather than isolating it as a specialty track, giving graduates the algorithm depth to advance into ML engineering roles—not just analytics—within regional healthcare and energy sectors.
At the bachelor's level, ULM's data science offerings are embedded within a computer science program that emphasizes both computational theory and practical analytics applications. The curriculum balances foundational computer science with specialized coursework in machine learning, data mining, and statistical analysis, allowing students to develop depth across the data science pipeline. Faculty research interests span distributed systems, algorithms, and applied computation, providing students with mentorship opportunities in active research. The program's location in northeastern Louisiana connects students with regional business opportunities and gives them an advantage in understanding data challenges specific to healthcare, energy, and agricultural sectors that dominate the state's economy. Project-based learning and internship partnerships help students build portfolios that demonstrate real-world problem-solving capabilities.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Location Advantages: Access to healthcare, energy, and agricultural data analytics opportunities
Louisiana State University-Shreveport — Shreveport, LA
Key Distinction: LSUS-Shreveport offers rigorous, foundational data science training in an intimate learning environment, emphasizing algorithmic thinking and individual faculty mentorship.
Hakia Insight: LSUS-Shreveport's small cohort size and emphasis on algorithmic thinking create rare one-on-one faculty mentorship in a competitive field, allowing students to customize projects around North Louisiana's underserved government and business analytics gaps.
At the bachelor's level, LSUS positions data science as a bridge between computer science fundamentals and applied analytics, with curriculum grounded in algorithmic thinking and statistical rigor. The program attracts students from North Louisiana and surrounding regions seeking quality data science education without traveling to Baton Rouge or beyond the state. Coursework integrates recent developments in machine learning and big data architectures, ensuring the program stays current with industry evolution. While research opportunities at LSUS-Shreveport are more limited than at flagship campuses, the smaller program size creates mentorship-rich environments where faculty know students individually. Graduates often pursue roles in regional business, government, and healthcare analytics—sectors with strong presence in the greater Shreveport-Bossier area. The program also serves as a launching point for students continuing to graduate study at major research universities.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Location Advantages: Serves North Louisiana and Arkansas regionShreveport-Bossier business and government sector opportunities
Best Master's Data Science Degree Programs in Louisiana
Southern University and A & M College — Baton Rouge, LA
Key Distinction: Southern University's data science preparation prioritizes mathematical and statistical foundations, with particular strength in preparing underrepresented students for graduate-level study.
Hakia Insight: Southern University's master's program deliberately mirrors doctoral preparation pathways in mathematics and statistics, positioning mid-career professionals and recent graduates for PhD candidacy—not just promotions.
At the master's level, southern University's approach to data science preparation centers on mathematical rigor and statistical foundations, with courses in probability, linear algebra, and advanced statistics forming the backbone of the curriculum. The program, housed within the College of Sciences, attracts students interested in the theoretical underpinnings of data analysis alongside practical applications. Faculty maintain research interests in computational statistics and mathematical modeling, creating opportunities for undergraduate and graduate students to engage in collaborative research. As a premier HBCU with a strong tradition in STEM, Southern emphasizes preparing African American and other underrepresented students for advanced careers and graduate study in data science and related fields. The campus culture prioritizes academic excellence and mentorship, with dedicated support for students pursuing advanced degrees at top-tier institutions.
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: Baton Rouge location with proximity to state government and research institutions
Louisiana Tech University — Ruston, LA
Key Distinction: Completely online and asynchronous format enabling full-time professionals to study flexibly. Coursework-based track with no thesis requirement; capstone project in final quarter
Hakia Insight: Louisiana Tech's Master of Health Informatics is fully asynchronous and requires no thesis, compressing a clinical informatics credential into 39 credits for healthcare IT professionals who can't afford semester-long research projects.
The Master of Health Informatics (MHI) is a CAHIIM-accredited 39-credit online program designed for working professionals seeking flexible, asynchronous learning. The program offers a coursework-based track (no thesis required) with a final capstone project, completable full-time in 36 months or part-time in 45 months across four quarters annually. All students earn a concurrent Graduate Certificate in Health Informatics. The program requires two years of relevant work experience and a 3.0+ GPA; GRE is waived for qualified applicants submitting an essay. Graduates advance into roles such as Health Information Analyst, Clinical Informatics Officer, Data Scientist, and Healthcare IT Project Manager with a 100% employment rate and 83% completion rate. The program is supported by professional associations HIMSS, AMIA, and AHIMA, offering students access to industry certifications and professional development resources.
Programs Offered
- Master of Health Informatics — 1-2 years, on-campus. MHI
Research Labs and Institutes
- Center for Biomedical Engineering Research and Rehabilitation Science
- Institute for Micromanufacturing
- Center for Numerical Simulation and Modeling
- Center for Applied Physics Studies
Location Advantages:
University of Louisiana at Lafayette — Lafayette, LA
Key Distinction: Thesis and non-thesis tracks available — students declare track preference after 12 credit hours. Graduate assistantships and fellowships available to help fund degree while gaining career experience
Hakia Insight: UL Lafayette's delayed track declaration (after 12 credits) lets working students test thesis-track rigor before committing, reducing the risk of mid-program pivots—a flexibility most programs don't offer until application time.
The Master of Science in Informatics at University of Louisiana at Lafayette is a 33-credit interdisciplinary program designed for working professionals seeking career advancement in technology, data science, and computing. The program offers both thesis and non-thesis tracks, allowing students to choose between research-focused or coursework-based completion. Available fully online with flexible 8-week and 16-week course options, plus on-campus formats, it accommodates professional schedules. Graduate assistantships and fellowships are available to help fund studies while gaining career experience. The curriculum covers data analytics, machine learning, database management, cybersecurity, and business intelligence. With no strict technical background requirement, the program attracts career-changers and non-technical bachelor's degree holders. Online tuition is competitively priced at $480 per credit hour. Graduates pursue roles as Data Scientists, Health Informatics Specialists, IT Consultants, Business Intelligence Analysts, Cybersecurity Analysts, and Project Managers across healthcare, retail, finance, and government sectors.
Programs Offered
- Master of Science in Informatics — 1-2 years, on-campus. MS
Research Labs and Institutes
- Eigen/Lab
- Data Analysis and Deep Learning (DADL) Laboratory
- Intelligent Systems, Modeling and Simulation (iSMS) Lab
- Data Science Application in Social and Community Psychology (DAISO) Lab
- AI CyberSafe Innovations Lab (AICSIL)
- Applied Research in Internet Cybercrime, Online Resilience & Intelligence Center (APRIORI Center)
- Biological Artificial Intelligence Laboratory (BAIL)
- Human-Computer Interaction (HCI) Laboratory
- tiny Machine Learning and Embedded Computing (tML-EC) Lab
- Wireless Embedded Device Security Lab (WEDS)
Industry Partners
- Institute of Data (partner)
Career Outcomes
Top Employers: Intel.
Notable Faculty
- Dr. Mehmet Engin Tozal — Complex systems, data science, artificial intelligence, machine learning methods for cybersecurity and health informatics
- Dr. Beenish Chaudry — Technology, design, and user experience (UX), ethical user-centered AI tools, AI integration into creative workflows and healthcare
- Dr. Aminul Islam — Deep learning and data analysis
- Dr. Michael W. Totaro — AI/intelligent systems applications, machine learning, deep learning, artificial neural networks, modeling and simulation
- Dr. Shuvalaxmi Dass — Artificial Intelligence for cybersecurity, Moving Target Defense, IoT security, Machine Learning, Bio-inspired algorithms
- Dr. Manyu Li — Social, community and cross-cultural psychology using computational analytic techniques
Location Advantages:
Louisiana State University and Agricultural & Mechanical College — Baton Rouge, LA
Key Distinction: Four specialization tracks (Artificial Intelligence, Cybersecurity, Software Engineering, Cloud Computing) designed for customized career advancement. No prior Computer Science degree required—foundation courses available through Study.com and Coursera
Hakia Insight: LSU's four specialization tracks (AI, Cybersecurity, Software Engineering, Cloud) in a 36-credit format allow mid-career professionals to credibly pivot into adjacent tech fields without repeating foundational coursework, and the 2.0 GPA floor accommodates non-traditional students.
LSU's online Master of Science in Computer Science is designed for working professionals and recent graduates seeking career advancement in high-demand tech fields. The 36-credit program offers flexible, fully online delivery with four specialization tracks: Artificial Intelligence, Cybersecurity, Software Engineering, and Cloud Computing. The curriculum balances foundational computer science with specialized electives, allowing customization to career goals. Graduates report a 94% employment rate with median salaries of $110,900. The program prepares students for industry certifications including AWS Certified Solutions Architect, CISSP, and CEH. No prior CS degree required—prerequisite courses available through Study.com and Coursera. Working professionals benefit from part-time completion flexibility, tuition at $735/credit ($26,460 total), and strong employer partnerships with Deloitte, Raytheon, Northrop Grumman, and Ford. The program emphasizes real-world application, taught by internationally recognized faculty engaged in groundbreaking research and industry collaboration.
Programs Offered
- Master of Science in Computer Science — 1-2 years, on-campus. MS
Research Labs and Institutes
- Computer Human Interaction & Visualization Experience (CHIVE) Lab
- Center for Computation & Technology
- Advanced Microscopy and Analytical Core
- Media Effects Lab
- Social Media Analysis and Creation Lab
- Public Policy Research Lab
Industry Partners
- NASA (collaborator)
- Ailectric, LLC (collaborator)
- USDA Risk Management Agency (collaborator)
- LaDoTD (sponsor)
- Occidental Chemical Corporation (sponsor)
- Pulte Homes (sponsor)
Career Outcomes
Median Salary: $NaN.
Notable Faculty
- Dr. Supratik Mukhopadhyay — AI and data analytics for social good, drug discovery, biomedical imaging
- Dr. Jennifer Qian — Technology-enabled academic innovation, digital transformation
- Dr. Yu April Chen — Predictive analytics for transfer students and STEM success
- Dr. Thanos Gentimis — Machine learning algorithms for agricultural data and risk prediction
- Dr. Mahmood Jasim — Decision-support systems and human-computer interaction
Admissions
GPA Requirement: 2.0. Application Deadline: April 6, 2026.
Requirements: 3 credit hours required core: CSC 7900 Interdisciplinary Research Methods in Computing, 6 credit hours required core courses (choose from: Theory of Computation, Programming Languages, Operating Systems, or Algorithms), 27 credit hours of electives with option to specialize in one of four tracks, Specializations not appearing on official transcripts but available for customized pathway
Location Advantages: Access to NASA Michoud Assembly Facility partnershipsProximity to Louisiana's energy and coastal industriesConnection to state government agencies for policy research
University of New Orleans — New Orleans, LA
Key Distinction: UNO's data science program stands out for embedding applied analytics within regional industry partnerships—particularly in energy, maritime, and resilience sectors—giving students immediate access to real-world datasets and career pipelines.
Hakia Insight: UNO's proximity to Shell, ExxonMobil, and Chevron isn't just geographic—the program embeds students directly into energy sector datasets and hiring pipelines, compressing the typical timeline from internship to full-time offer by leveraging real projects that companies actively fund.
At the master's level, UNO's data science program emphasizes applied problem-solving through real-world project engagement, distinguishing itself by integrating domain expertise across engineering, business, and social sciences. Rather than treating data science as purely algorithmic, the curriculum scaffolds students through foundational statistics and programming before advancing to machine learning, causal inference, and big data technologies. Faculty maintain active partnerships with regional organizations in energy, maritime, and public health sectors, meaning students often work on live datasets and authentic analytical challenges. The program particularly strengths in time-series forecasting and geospatial analysis—areas of direct relevance to New Orleans' infrastructure and environmental concerns. Hands-on labs use industry-standard tools (Python, R, SQL, Spark) in semester-long capstone projects where teams tackle data challenges sponsored by local and national firms. Graduates report strong placement in analytics roles at energy companies like Shell and ExxonMobil, as well as government agencies managing disaster resilience and urban planning. The New Orleans location also provides unique access to data-intensive industries and a tighter-knit tech community where internship-to-hire pipelines are common.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Accreditations and Certifications
Location Advantages: Proximity to major energy sector employers (Shell, ExxonMobil, Chevron)Access to maritime and logistics industry leadersGrowing tech startup ecosystem in Greater New OrleansProximity to government agencies engaged in disaster resilience and urban analytics
Tulane University of Louisiana — New Orleans, LA
Key Distinction: Non-thesis, coursework-only format for efficient completion. 4+1 accelerated pathway allowing Tulane undergraduates to earn both B.S. and M.S. in five years
Hakia Insight: Tulane's 4+1 pathway lets undergraduates compress five years into one degree decision, while the Connolly Alexander Institute extends data literacy across campus—meaning your peer network and collaborative opportunities extend far beyond the 33-credit program itself.
The Master of Science in Data Science (MSDS) at Tulane University is a 33-credit, non-thesis program jointly offered by the Mathematics and Computer Science departments. The program integrates probability, statistics, computation, and machine learning to prepare working professionals for careers in data science, analytics, and machine learning across industry, government, and research. The curriculum consists of 9 credits in foundations, 12 credits in core data science courses, and 12 credits of flexible electives, allowing students to specialize in areas such as deep learning, natural language processing, or computer vision. The program accommodates multiple student types, including a 4+1 accelerated pathway for Tulane undergraduates completing both the B.S. and M.S. in five years, and full-time students typically completing the program in three to four semesters. Students work closely with faculty advisors to design personalized study plans aligned with career goals. Graduates are well-positioned for roles as data scientists, machine learning engineers, and technical leaders in finance, healthcare, and technology sectors.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus. MS
Research Labs and Institutes
- Biostatistics and Data Science Research Center
- Connolly Alexander Institute for Data Science
Career Outcomes
Top Employers: Intel.
Notable Faculty
- Dr. Sudesh Srivastav — Biostatistics and Data Science
- Dr. Jian Li — Biostatistics and bioinformatics methodology for genetic and genomic data
- Dr. Jigang Zhang — Biostatistics and data science research
Admissions
GPA Requirement: 3.0 minimum (3.5 for 4+1 pathway).
Requirements: 9 credits of Foundations (Probability, Statistical Inference, Linear Algebra), 12 credits of Core Data Science courses (Linear Models, Introduction to Computer Science, Data Science, Machine Learning), 12 credits of Electives from approved mathematics, computer science, or interdisciplinary options, Minimum 3.0 GPA maintained throughout program, One B– grade triggers probation consideration; two B– grades or one grade below B– results in probation and possible dismissal, No course with grade below B– counts toward degree, Continuous registration until degree conferred, Up to 6 transfer credit hours may be applied with GSC approval, Compliance with Unified Code of Graduate Student Academic Conduct
Location Advantages: Located in New Orleans providing access to diverse healthcare systemsHoward-Tilton Memorial Library houses CAIDS facility
Best Doctoral Data Science Degree Programs in Louisiana
University of Louisiana at Lafayette — Lafayette, LA
Key Distinction: The program uniquely combines rigorous AI and machine learning foundations with applied, real-world relevance through user-centered design and interdisciplinary approaches, distinctly different from traditional computer science programs that focus primarily on theory and formal methods.
Hakia Insight: UL Lafayette's $480/credit-hour cost and user-centered AI focus (driven by faculty like Dr. Beenish Chaudry in healthcare UX) creates rare access to cutting-edge interdisciplinary research without the six-figure debt that typically accompanies doctoral study in AI.
At the doctoral level, the Data Science program at UL Lafayette offers an affordable pathway ($480-per-credit-hour for online students) with strong industry partnerships providing abundant research and career opportunities. The program is designed to prepare students for careers in data science, analytics, and related fields while maintaining strong connections with local and national technology companies.
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
- Eigen/Lab
- Data Analysis and Deep Learning (DADL) Laboratory
- Intelligent Systems, Modeling and Simulation (iSMS) Lab
- Data Science Application in Social and Community Psychology (DAISO) Lab
- AI CyberSafe Innovations Lab (AICSIL)
- Applied Research in Internet Cybercrime, Online Resilience & Intelligence Center (APRIORI Center)
- Biological Artificial Intelligence Laboratory (BAIL)
- Human-Computer Interaction (HCI) Laboratory
- tiny Machine Learning and Embedded Computing (tML-EC) Lab
- Wireless Embedded Device Security Lab (WEDS)
Industry Partners
- Institute of Data (partner)
Career Outcomes
Median Salary: $NaN.
Notable Faculty
- Dr. Mehmet Engin Tozal — Complex systems, data science, artificial intelligence, machine learning methods for cybersecurity and health informatics
- Dr. Beenish Chaudry — Technology, design, and user experience (UX), ethical user-centered AI tools, AI integration into creative workflows and healthcare
- Dr. Aminul Islam — Deep learning and data analysis
- Dr. Michael W. Totaro — AI/intelligent systems applications, machine learning, deep learning, artificial neural networks, modeling and simulation
- Dr. Shuvalaxmi Dass — Artificial Intelligence for cybersecurity, Moving Target Defense, IoT security, Machine Learning, Bio-inspired algorithms
- Dr. Manyu Li — Social, community and cross-cultural psychology using computational analytic techniques
Location Advantages:
Louisiana State University and Agricultural & Mechanical College — Baton Rouge, LA
Key Distinction: LSU's data science program uniquely integrates biological sciences with computational methods, emphasizing real-world applications through interdisciplinary research centers and an active Faculty Fellows program addressing institutional decision-making challenges.
Hakia Insight: LSU's Faculty Fellows program embeds doctoral students directly into institutional decision-making—meaning your dissertation isn't hypothetical; you're solving actual challenges for state agencies, NASA, and the USDA Risk Management Agency while building your CV.
At the doctoral level, louisiana State University's data science program is housed within the Department of Biological Sciences and represents a growing interdisciplinary field at the intersection of biology, statistics, computing, and data visualization. The program focuses on training both undergraduate and graduate students in data science applications for biological research. LSU has invested significantly in data analytics and AI infrastructure, establishing the Office of Data and Strategic Analytics which oversees an AI and Data Analytics Faculty Fellows Program with $8+ million in secured research funding across participating faculty. The university hosts the Center for Computation & Technology (CCT), an internationally collaborative research environment advancing computational sciences. Faculty expertise spans diverse applications including agricultural data analytics, educational technology, environmental modeling, and biomedical research. The program emphasizes hands-on experience through monthly Geaux Code events and offers specialized courses ranging from foundational skills (Introduction to Data Science, Introduction to Computing for Biologists) to advanced applications (Experimental Designs in Transcriptomics, Computational Phylogenetics). LSU's data science initiative is supported by major research centers including the Advanced Microscopy and Analytical Core, the LSU Cyber Center (designated as a National Center of Academic Excellence in Cyber Operations by the NSA), and multiple specialized institutes focusing on coastal studies, energy research, and advanced manufacturing. The program benefits from faculty who have launched AI startups, developed platforms reaching AI XPrize semifinals, and secured millions in NSF and federal research grants.
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
- Computer Human Interaction & Visualization Experience (CHIVE) Lab
- Center for Computation & Technology
- Advanced Microscopy and Analytical Core
- Media Effects Lab
- Social Media Analysis and Creation Lab
- Public Policy Research Lab
Industry Partners
- NASA (collaborator)
- Ailectric, LLC (collaborator)
- USDA Risk Management Agency (collaborator)
- LaDoTD (sponsor)
- Occidental Chemical Corporation (sponsor)
- Pulte Homes (sponsor)
Notable Faculty
- Dr. Supratik Mukhopadhyay — AI and data analytics for social good, drug discovery, biomedical imaging
- Dr. Jennifer Qian — Technology-enabled academic innovation, digital transformation
- Dr. Yu April Chen — Predictive analytics for transfer students and STEM success
- Dr. Thanos Gentimis — Machine learning algorithms for agricultural data and risk prediction
- Dr. Mahmood Jasim — Decision-support systems and human-computer interaction
Admissions
GPA Requirement: 2.0. Application Deadline: April 6, 2026.
Location Advantages: Access to NASA Michoud Assembly Facility partnershipsProximity to Louisiana's energy and coastal industriesConnection to state government agencies for policy research
Tulane University of Louisiana — New Orleans, LA
Key Distinction: Tulane's data science program uniquely combines biostatistics, bioinformatics, and public health applications with strong emphasis on genetic and genomic data analysis, supported by the university-wide Connolly Alexander Institute promoting data literacy across all disciplines.
Hakia Insight: While marketed as a master's program, Tulane's doctoral pathway builds on biostatistics and genomic data expertise that healthcare systems in New Orleans actively recruit for, making the transition from coursework to employment research roles unusually seamless.
At the doctoral level, the Master of Science in Data Science program is jointly offered by the Mathematics and Computer Science departments, providing an interdisciplinary approach that combines traditional training in statistics and mathematics with hands-on experience in machine learning and artificial intelligence. This interdisciplinary nature provides students with flexibility to balance theory and practice, preparing them well for careers in data science.
Programs Offered
- Doctor of Philosophy in Data Science — 4-6 years, on-campus
- Doctor of Science in Data Science — 4-6 years, online
Research Labs and Institutes
- Biostatistics and Data Science Research Center
- Connolly Alexander Institute for Data Science
Notable Faculty
- Dr. Sudesh Srivastav — Biostatistics and Data Science
- Dr. Jian Li — Biostatistics and bioinformatics methodology for genetic and genomic data
- Dr. Jigang Zhang — Biostatistics and data science research
Admissions
GPA Requirement: 3.0 minimum (3.5 for 4+1 pathway).
Location Advantages: Located in New Orleans providing access to diverse healthcare systemsHoward-Tilton Memorial Library houses CAIDS facility
