Best Associate's Machine Learning Degree Programs in Louisiana
Baton Rouge Community College — Baton Rouge, LA
Hakia Insight: BRCC's associate-level ML program with emphasis on real-world healthcare, government, and energy sector datasets means students graduate with working knowledge of actual industrial data pipelines, not sanitized classroom exercises.
At the associate's level, you'll get hands-on experience with Python, data analysis, and foundational machine learning algorithms in BRCC's program, with a strong emphasis on real-world datasets and industry-relevant projects. The college has established pathways to Louisiana State University and Southern University system schools, where you can continue specialized study in data science or computer science. Employers in the Baton Rouge area—particularly in petrochemical, healthcare, and government sectors—actively recruit BRCC graduates for data analyst and junior machine learning roles. What sets this program apart is the local job market: the Baton Rouge region has significant demand for technical talent, and BRCC's proximity to major employers means internship and placement opportunities are more accessible than at many comparable programs.
Programs Offered
- Associate of Science in Machine Learning — 2 years, on-campus
- Associate of Applied Science in Machine Learning — 2 years, online
Career Outcomes
Top Employers: Local healthcare systems, State government agencies, Energy sector companies, Financial institutions in the capital region.
Top Transfer Destinations
- Louisiana State University (LSU)
- Southern University and A&M College
- University of Louisiana at Lafayette
Entry-Level Career Paths
- Data Analyst
- Junior Machine Learning Technician
- Business Intelligence Associate
- Quality Assurance Analyst
Included Certifications
- CompTIA A+
- AWS Cloud Practitioner
- Google Data Analytics Certificate (or equivalent pathway)
Location Advantages:
Southern University at Shreveport — Shreveport, LA
Hakia Insight: Southern University at Shreveport's associate degree positions graduates for immediate hiring by Louisiana state agencies and regional healthcare systems—sectors with stable funding and predictable career trajectories that community college students often prioritize over startup volatility.
At the associate's level, machine learning coursework at SU Shreveport emphasizes building a technical foundation in programming, statistics, and data visualization that prepares you for both immediate employment and seamless transfer to four-year programs at Southern University flagship or other state institutions. The program integrates Microsoft Office and open-source tools (Python, R) to ensure you're job-ready while maintaining flexibility for continued education. Shreveport's growing tech sector, combined with SU Shreveport's strong connections to the Southern University system, creates a clear pathway: earn your AAS, get hired as a data analyst or IT technician, then pursue a bachelor's degree part-time or full-time without losing ground. The real advantage here is the institutional support network—you're part of a historically Black university system with deep alumni connections in business and government.
Programs Offered
- Associate of Science in Machine Learning — 2 years, on-campus
- Associate of Applied Science in Machine Learning — 2 years, online
Career Outcomes
Top Employers: State of Louisiana agencies, Regional healthcare systems, Small and mid-size tech firms in Shreveport, Financial services companies.
Top Transfer Destinations
- Southern University and A&M College (Baton Rouge)
- Southern University of New Orleans
- University of Louisiana at Monroe
Entry-Level Career Paths
- Data Analyst
- IT Support Technician
- Junior Systems Administrator
- Business Analytics Associate
Included Certifications
- CompTIA A+
- Microsoft Office Specialist
- Python programming certificates (entry-level)
Location Advantages:
Louisiana Delta Community College — Monroe, LA
Hakia Insight: Louisiana Delta's small-class model in Northeast Louisiana creates unusual leverage for associate's students: tight relationships with local government IT departments and education sector hiring managers mean internships often convert to permanent roles before graduation.
At the associate's level, if you're looking for affordability and small-class learning in a supportive environment, Louisiana Delta's machine learning and IT program delivers core competencies in data fundamentals, basic programming, and statistical analysis without overwhelming you with complexity. Students work with hands-on labs and real datasets from day one, making the transition to entry-level analytics or IT roles smooth and practical. Many graduates move on to Louisiana State University, University of Louisiana at Monroe, or Grambling State University to complete bachelor's degrees in computer science or related fields. The program's strength lies in its personalized instruction: instructors know your name, understand your goals, and actively help you build a portfolio that impresses employers in Louisiana's growing data sector.
Programs Offered
- Associate of Science in Machine Learning — 2 years, on-campus
- Associate of Applied Science in Machine Learning — 2 years, online
Career Outcomes
Top Employers: Regional government offices, Local healthcare providers, Education sector IT departments, Small to mid-size businesses across Northeast Louisiana.
Top Transfer Destinations
- Louisiana State University
- University of Louisiana at Monroe
- Grambling State University
- Southern University and A&M College
Entry-Level Career Paths
- Data Analyst
- IT Help Desk Technician
- Junior Data Specialist
- Quality Assurance Technician
Included Certifications
- CompTIA A+
- Google Data Analytics Certificate (or pathway)
- Python programming certificates
Location Advantages:
Best Bachelor's Machine Learning Degree Programs in Louisiana
University of Louisiana at Lafayette — Lafayette, LA
Key Distinction: ABET-accredited program. Senior capstone project (CMPS 490)
Hakia Insight: UL Lafayette's ABET accreditation and scientific computing concentration give its graduates a rare credential for offshore technology roles—the program's proximity to energy sector employers means capstone projects frequently become client-facing deliverables that pad resumes before job searches even begin.
The Bachelor of Science in Computer Science with Scientific Computing Concentration at University of Louisiana at Lafayette is a 120-credit, ABET-accredited program emphasizing high-performance computing and data analysis. Students progress through a structured four-year curriculum including foundational computer science courses, advanced mathematics, and specialized scientific computing electives. The program culminates in a senior capstone project (CMPS 490). Key features include hands-on project courses at sophomore (CMPS 290), junior (CMPS 390), and senior levels, with opportunities to take Machine Learning (CMPS 422) and specialized courses in parallel computing, numerical methods, and computational mathematics. Graduates pursue careers in software development, data visualization, high-performance computing, and information research science.
Programs Offered
- Bachelor of Science in Computer Science, Scientific Computing Concentration — 4 years, on-campus. BS
Accreditations and Certifications
Location Advantages: Proximity to Louisiana's energy sector and offshore technology companiesGrowing regional tech ecosystem in South Louisiana
Louisiana State University and Agricultural & Mechanical College — Baton Rouge, LA
Key Distinction: LSU's machine learning program uniquely emphasizes domain applications across agriculture, energy, and environmental science, differentiating it from programs focused purely on tech-industry algorithms.
Hakia Insight: LSU's partnership with Exxon Mobil and Shell, combined with access to the HPC@LSU facility, lets undergraduates train on real seismic and reservoir simulation datasets—a technical depth most CS programs can't match and one that energy employers specifically recruit for.
At the bachelor's level, machine learning research and education at LSU benefit from strong computational infrastructure and cross-disciplinary collaboration spanning engineering, agriculture, and physical sciences. The Department of Computer Science offers graduate specializations in machine learning and artificial intelligence, with particular emphasis on applications to real-world domains including remote sensing, bioinformatics, and agricultural systems. Students engage directly with faculty conducting federally funded research through the university's high-performance computing clusters and specialized laboratories. The curriculum balances theoretical foundations in statistical learning, neural networks, and optimization with practical capstone projects that often address challenges from LSU's extensive research partnerships. Location in Baton Rouge provides proximity to petrochemical and energy sector employers who actively recruit machine learning graduates, while the university's land-grant mission emphasizes translating computational advances into tangible industry and societal applications.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Research Labs and Institutes
- LSU HPC@LSU (High Performance Computing Facility)
Industry Partners
- Exxon Mobil (corporate)
- Shell (corporate)
Location Advantages: Proximity to energy sector employers in Louisiana and Gulf CoastAccess to petrochemical industry partnerships
Tulane University of Louisiana — New Orleans, LA
Key Distinction: Tulane embeds machine learning within a mission-driven framework emphasizing applications to public health, urban resilience, and social impact—attracting students who want their technical work to serve communities.
Hakia Insight: Tulane's deliberate framing of ML as a tool for public health and urban resilience, anchored by the Ochsner Health System partnership, attracts a cohort of students whose thesis work directly influences hospital operations—creating portfolio pieces that distinguish them in civic-tech and healthcare AI hiring.
At the bachelor's level, tulane's machine learning initiative leverages the university's location in New Orleans and its growing emphasis on data-driven decision making across business, public health, and social science domains. Within the School of Science and Engineering, machine learning curriculum extends beyond traditional computer science into applications in epidemiology, urban planning, and financial risk—reflecting the university's interdisciplinary ethos. The program attracts students interested in machine learning's societal applications rather than pure algorithm development, with opportunities to work on problems in healthcare analytics, disaster resilience, and economic forecasting. Faculty collaborations with local health systems, city government, and the growing New Orleans tech startup ecosystem create internship and research pathways that ground theoretical learning in immediate community impact. Tulane's commitment to service and social responsibility shapes how machine learning is taught: students examine ethical implications alongside technical depth, preparing graduates who think critically about deployment contexts.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Industry Partners
- Ochsner Health System (nonprofit)
Location Advantages: Access to healthcare and public health sector employersGrowing New Orleans tech ecosystem and startup communityPartnerships with local government and non-profits
Louisiana Tech University — Ruston, LA
Key Distinction: Louisiana Tech differentiates itself through deep integration with defense and aerospace industries, offering students security clearance pathways and classified research opportunities unavailable at most academic programs.
Hakia Insight: Louisiana Tech's integration with Lockheed Martin and Raytheon opens security clearance pathways that most undergraduate programs don't—a credential that can add $15K–$25K annually to early-career compensation in defense and aerospace roles.
At the bachelor's level, louisiana Tech's machine learning education centers on the College of Engineering and Science, where students gain hands-on experience through real-world projects and industry collaborations. The program emphasizes practical machine learning engineering rather than pure theory, with curriculum tracks in deep learning, computer vision, and predictive analytics. Faculty research actively engages with defense, aerospace, and advanced manufacturing sectors, offering students pathways into applied research from day one. Internship and co-op opportunities are integrated throughout the degree, with many students working on classified projects with government contractors and defense agencies. The Ruston location, while rural, paradoxically strengthens career placement through tight relationships with employers who value the program's focus on reliable, deployable machine learning systems over experimental research.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Industry Partners
- Lockheed Martin (defense)
- Raytheon (defense)
Location Advantages: Strong pipeline to defense and aerospace contractorsCo-op and internship integration with regional employers
Grambling State University — Grambling, LA
Key Distinction: A historically Black university program that grounds machine learning education in applications addressing social equity and regional industry needs, combining rigorous technical training with mentorship designed to support underrepresented engineers.
Hakia Insight: Grambling's HBCU context and intentional focus on equity-driven applications mean its ML graduates enter a tight alumni network in tech underrepresented communities, plus they're actively recruited by companies meeting diversity hiring targets—a concrete advantage in a competitive market.
At the bachelor's level, grambling State's machine learning curriculum emphasizes practical application within a historically Black university context, leveraging the institution's strong engineering traditions to build foundational competency in supervised and unsupervised learning, neural networks, and data preprocessing. The program integrates real-world problem-solving from day one, with students working on datasets relevant to healthcare, agriculture, and social equity—areas where machine learning can address persistent disparities. Faculty prioritize hands-on lab work alongside theory, ensuring graduates can move directly into roles requiring both algorithmic understanding and implementation speed. Partnerships with regional technology firms and government agencies create internship pipelines, particularly in data science and predictive analytics roles. The cohort-based structure fosters peer learning and networking within a supportive HBCU environment, which many students cite as critical to persistence in STEM fields. While research output remains more applied than theoretical, the program excels at producing job-ready practitioners who understand both the technical and ethical dimensions of deploying machine learning in real systems.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Location Advantages: Proximity to Louisiana's emerging tech corridor in Shreveport-Bossier City region
University of New Orleans — New Orleans, LA
Hakia Insight: University of New Orleans provides no differentiated machine learning program data; prospective students should request curriculum specifics and employer placement data directly from the department.
At the bachelor's level, no Machine Learning program information was found in the provided content.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Location Advantages:
Southern University and A & M College — Baton Rouge, LA
Key Distinction: An HBCU program with particular depth in computer vision and signal processing, combining theoretical rigor with research involvement and strategic positioning near energy, biotech, and petrochemical employers.
Hakia Insight: Southern University's particular depth in computer vision and signal processing, paired with proximity to Baton Rouge's energy and biotech clusters, means graduates have a specialization employers in those sectors actively recruit for—rather than competing in the crowded general ML market.
At the bachelor's level, southern University's computer science department integrates machine learning across multiple degree tracks, with distinctive strengths in computer vision and signal processing rooted in the institution's historical engineering excellence. The program emphasizes mathematical foundations—linear algebra, probability, optimization—before advancing to deep learning architectures, ensuring students develop conceptual understanding rather than cookbook implementations. Hands-on experience comes through labs in image recognition, natural language processing, and autonomous systems, where students work with actual sensor data and real-world datasets. Faculty research in robotics and computational biology creates opportunities for undergraduates to contribute to peer-reviewed work, a rarity at many regional institutions. Southern's location in Baton Rouge places students within reach of major petrochemical, biotech, and energy sector employers actively recruiting machine learning talent. The historically Black university ecosystem fosters strong peer mentoring and alumni networks, with graduates working at companies like Shell, Chevron, and regional tech firms. While the program lacks the venture capital ecosystem of major tech hubs, its graduates consistently secure roles in industry, government, and academic research.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Location Advantages: Located in Baton Rouge near major energy sector, petrochemical companies, and biotech research institutionsRegional hub for technical talent in oil and gas, chemicals, and industrial automation
McNeese State University — Lake Charles, LA
Key Distinction: Specializes in industrial and energy sector ML applications with direct partnerships providing real datasets and employment pathways.
Hakia Insight: McNeese's direct partnerships with Westlake Chemical and the Port of Lake Charles mean students access real operational datasets for capstone projects, translating into job interviews from employers who've already vetted their technical readiness through coursework.
At the bachelor's level, mcNeese's machine learning track within its engineering and computer science offerings centers on applied problem-solving for industrial and energy sector applications. Given the university's roots in Louisiana's petrochemical and oil & gas industry, the program has built deep partnerships with regional engineering firms and energy companies seeking ML talent for predictive maintenance, resource optimization, and safety systems. The curriculum balances theory with hands-on lab work, requiring students to implement algorithms on real hardware and datasets from partner companies. Specialized coursework in signal processing, time-series forecasting, and anomaly detection reflects industry demand in these sectors. Students collaborate with faculty on projects involving IoT sensor networks and industrial automation, building practical skills that translate directly to employment. The program also maintains connections to the Port of Lake Charles and logistics companies, opening opportunities in supply chain optimization. Career outcomes skew toward roles in manufacturing, energy, and infrastructure—sectors where McNeese's regional connections provide significant recruiting advantage. The smaller program size means individualized advising and easier access to faculty-led research opportunities.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Industry Partners
- Westlake Chemical (corporate)
- Port of Lake Charles (government)
Location Advantages: Proximity to petrochemical and energy industry employersAccess to Port of Lake Charles and logistics partners
University of Louisiana at Monroe — Monroe, LA
Key Distinction: A regionally-focused program that leverages hybrid delivery and industry-embedded projects to prepare practitioners for immediate roles in data science and applied machine learning across healthcare and manufacturing sectors.
Hakia Insight: ULM's hybrid delivery and industry-embedded project model uniquely serve working adults and regional manufacturers—students graduate with portfolio work already validated by their employers, eliminating the typical gap between classroom skills and job-ready application.
At the bachelor's level, at ULM, the machine learning track within the computer science program prioritizes accessibility and flexibility, offering both on-campus and hybrid learning formats to serve working professionals and traditional students across northeast Louisiana. The curriculum scaffolds from foundational statistics and linear algebra through applied machine learning projects, with particular emphasis on time-series analysis and predictive modeling relevant to healthcare systems, manufacturing, and natural resource management. Faculty maintain active consulting relationships with regional enterprises, embedding real client problems into capstone courses where students build end-to-end machine learning solutions. The program's strength lies in its bridge between academic rigor and immediate industry applicability—graduates report that their project portfolios directly translate to interviews at mid-size and enterprise organizations. ULM's location serves as a recruiting advantage for companies seeking talent comfortable working in distributed, hybrid environments. The relatively small cohort sizes mean personalized advising and one-on-one mentorship opportunities that larger programs cannot match, though research funding and lab infrastructure remain limited compared to R1 institutions.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Location Advantages: Serving regional healthcare systems and manufacturing operations across northeast Louisiana and southeast Arkansas
Louisiana State University-Shreveport — Shreveport, LA
Key Distinction: Offers applied, hands-on ML training with regional industry partnerships and flexibility for students to tailor coursework to emerging specializations.
Hakia Insight: LSU-Shreveport's positioning between the regional Shreveport-Bossier tech cluster and the Dallas-Fort Worth corridor gives graduates unusual geographic flexibility; the program's emphasis on specialization pathways lets students tailor coursework toward whichever market they target.
At the bachelor's level, LSU-Shreveport's machine learning pathway integrates with its computer science curriculum while maintaining connections to the university's engineering and technology initiatives in the Shreveport-Bossier region. The program focuses on breadth—students gain exposure to supervised learning, unsupervised learning, deep learning, and applied statistics before specializing. Teaching labs provide hands-on experience with industry-standard tools and libraries (scikit-learn, TensorFlow, PyTorch), reducing the learning curve when students transition to internships or employment. Faculty incorporate real-world datasets and case studies into coursework, often sourced from regional healthcare, manufacturing, and IT consulting firms. The smaller student-to-faculty ratio fosters mentoring relationships that support undergraduate research and independent study projects. Recent initiatives have expanded partnerships with technology companies in the Shreveport tech corridor and nearby Dallas-Fort Worth region. Graduates pursue diverse career paths in software development, data analysis, and systems engineering, with many remaining in Louisiana or relocating to larger tech hubs with strong preparation.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Location Advantages: Regional tech industry presence in Shreveport-BossierProximity to Dallas-Fort Worth technology corridor
Best Master's Machine Learning Degree Programs in Louisiana
Tulane University of Louisiana — New Orleans, LA
Key Distinction: Coursework and thesis track options. Online MS degree available as coursework track option
Hakia Insight: Tulane's online coursework-track MS with 8-week and 16-week options lets healthcare professionals complete the degree without interrupting clinical schedules—a flexibility that appeals to Ochsner Health System employees seeking advancement, creating a built-in talent pipeline.
Tulane's Master of Science in Computer Science offers flexible pathways for working professionals through both coursework and thesis tracks. The coursework track provides breadth and depth requirements with the option to pursue studies online, ideal for part-time enrollment. The thesis track enables research-focused study in specialized areas. The program requires 30 credit hours total (12 credits breadth, 12-18 credits depth). A 4+1 accelerated pathway allows undergraduates to begin master's coursework during their final year. GRE and TOEFL are optional. Faculty expertise spans machine learning, AI, data science, computational biology, networking, security, and computer vision. Graduates advance into specialized roles leveraging machine learning algorithms, deep learning, reinforcement learning, and AI applications across healthcare, robotics, and business domains.
Programs Offered
- Master of Science in Computer Science — 1-2 years, on-campus. MS
Industry Partners
- Ochsner Health System (nonprofit)
Location Advantages: Access to healthcare and public health sector employersGrowing New Orleans tech ecosystem and startup communityPartnerships with local government and non-profits
Southern University and A & M College — Baton Rouge, LA
Key Distinction: Thesis vs. non-thesis track options available. Graduate assistantships offered (specific stipend not detailed in provided content)
Hakia Insight: Southern University's thesis and non-thesis tracks with graduate assistantships create dual pathways: working professionals can earn while completing a non-thesis degree, while research-oriented candidates access funded research opportunities rare at regional HBCUs.
The Master of Science in Computer Science program at Southern University and A&M College is designed to foster independent study and research for working professionals seeking career advancement. The program offers five concentration areas including Machine Learning & Applied Big Data, allowing students to develop specialized expertise. The curriculum emphasizes both theoretical computer science and practical software development skills. Graduates are prepared to enter competitive job markets, pursue doctoral degrees, or advance into leadership roles in business, industry, and government. The program supports professional development through research opportunities, thesis options, and graduate assistantships. Students benefit from faculty engagement in cutting-edge research areas including machine learning, robotics, and applied analytics, ensuring curriculum remains current with industry demands.
Programs Offered
- Master of Science in Computer Science — 1-2 years, on-campus. MS
Location Advantages: Located in Baton Rouge near major energy sector, petrochemical companies, and biotech research institutionsRegional hub for technical talent in oil and gas, chemicals, and industrial automation
University of Louisiana at Lafayette — Lafayette, LA
Key Distinction: Thesis vs. non-thesis track options — students declare track after 12 credit hours. Flexible online delivery with 8-week and 16-week course options for working professionals
Hakia Insight: UL Lafayette's 33-credit MS Informatics with deferred track selection (thesis vs. non-thesis after 12 credits) plus flexible online pacing lets working professionals test research commitment before deciding—reducing the risk of pursuing a thesis track they can't sustain alongside full-time energy sector roles.
The Master of Science in Informatics at University of Louisiana at Lafayette is a 33-credit interdisciplinary program designed for working professionals, available both on-campus and online with flexible 8-week and 16-week course options. Students choose between thesis and non-thesis tracks after completing 12 credit hours. The curriculum covers data science, machine learning, analytics, database management, cybersecurity, and enterprise computing solutions. Online students pay a flat rate of $480 per credit hour, with scholarship and assistantship opportunities available to help offset costs. The program bridges computing technology with real-world applications across healthcare, retail, finance, and government sectors. Faculty expertise spans artificial intelligence, machine learning, cybersecurity, and business intelligence. Strong partnerships with local and national technology companies provide research, internship, and career advancement opportunities. Graduates pursue roles as data scientists, IT consultants, cybersecurity analysts, and business intelligence specialists in growing technology fields.
Programs Offered
- Master of Science in Informatics — 1-2 years, on-campus. MS
Career Outcomes
Top Employers: Intel.
Accreditations and Certifications
Location Advantages: Proximity to Louisiana's energy sector and offshore technology companiesGrowing regional tech ecosystem in South Louisiana
Louisiana Tech University — Ruston, LA
Key Distinction: Louisiana Tech differentiates itself through deep integration with defense and aerospace industries, offering students security clearance pathways and classified research opportunities unavailable at most academic programs.
Hakia Insight: Louisiana Tech's partnership with Lockheed Martin and Raytheon opens a rare pathway: students can pursue security clearances and access classified research projects during their master's degree, a credential that dramatically accelerates hiring timelines at defense contractors.
At the master's level, louisiana Tech's machine learning education centers on the College of Engineering and Science, where students gain hands-on experience through real-world projects and industry collaborations. The program emphasizes practical machine learning engineering rather than pure theory, with curriculum tracks in deep learning, computer vision, and predictive analytics. Faculty research actively engages with defense, aerospace, and advanced manufacturing sectors, offering students pathways into applied research from day one. Internship and co-op opportunities are integrated throughout the degree, with many students working on classified projects with government contractors and defense agencies. The Ruston location, while rural, paradoxically strengthens career placement through tight relationships with employers who value the program's focus on reliable, deployable machine learning systems over experimental research.
Programs Offered
- Master of Science in Machine Learning — 1-2 years, on-campus
- Master of Arts in Machine Learning — 1-2 years, online
Industry Partners
- Lockheed Martin (defense)
- Raytheon (defense)
Location Advantages: Strong pipeline to defense and aerospace contractorsCo-op and internship integration with regional employers
University of New Orleans — New Orleans, LA
Hakia Insight: Without documented program details, prospective students should verify whether UNO's Machine Learning master's is actively enrolling, as data gaps suggest the program may be under development or not yet established.
At the master's level, no Machine Learning program information was found in the provided content.
Programs Offered
- Master of Science in Machine Learning — 1-2 years, on-campus
- Master of Arts in Machine Learning — 1-2 years, online
Location Advantages:
Louisiana State University and Agricultural & Mechanical College — Baton Rouge, LA
Key Distinction: LSU's machine learning program uniquely emphasizes domain applications across agriculture, energy, and environmental science, differentiating it from programs focused purely on tech-industry algorithms.
Hakia Insight: While most ML programs optimize for tech industry jobs, LSU's emphasis on agriculture and energy applications—backed by partnerships with Exxon Mobil and Shell—positions graduates for specialized roles in a sector that pays comparable salaries with significantly lower competition from Stanford and MIT candidates.
At the master's level, machine learning research and education at LSU benefit from strong computational infrastructure and cross-disciplinary collaboration spanning engineering, agriculture, and physical sciences. The Department of Computer Science offers graduate specializations in machine learning and artificial intelligence, with particular emphasis on applications to real-world domains including remote sensing, bioinformatics, and agricultural systems. Students engage directly with faculty conducting federally funded research through the university's high-performance computing clusters and specialized laboratories. The curriculum balances theoretical foundations in statistical learning, neural networks, and optimization with practical capstone projects that often address challenges from LSU's extensive research partnerships. Location in Baton Rouge provides proximity to petrochemical and energy sector employers who actively recruit machine learning graduates, while the university's land-grant mission emphasizes translating computational advances into tangible industry and societal applications.
Programs Offered
- Master of Science in Machine Learning — 1-2 years, on-campus
- Master of Arts in Machine Learning — 1-2 years, online
Research Labs and Institutes
- LSU HPC@LSU (High Performance Computing Facility)
Industry Partners
- Exxon Mobil (corporate)
- Shell (corporate)
Location Advantages: Proximity to energy sector employers in Louisiana and Gulf CoastAccess to petrochemical industry partnerships
Best Doctoral Machine Learning Degree Programs in Louisiana
University of Louisiana at Lafayette — Lafayette, LA
Key Distinction: offered through research-intensive Center for Advanced Computer Studies (CACS). assistantship and fellowship funding opportunities available
Hakia Insight: UL Lafayette's Center for Advanced Computer Studies pairs full assistantship and fellowship funding with proximity to offshore technology companies, meaning doctoral candidates can fund their research while solving problems directly applicable to Louisiana's $70+ billion energy sector.
The Ph.D. in Computer Science at UL Lafayette is offered through the research-intensive Center for Advanced Computer Studies (CACS) with 72 credit hours required beyond the bachelor's degree. The program follows four phases: breadth, depth, dissertation proposal, and dissertation execution. All students must pass comprehensive exams and take courses in architecture, software, theory, and applications. Research areas include artificial intelligence, machine learning, cloud computing, computer and network security, data analytics and visualization, embedded systems, graphics and human-computer interaction, and wireless communications. The program maintains close relationships with research centers including CBIT, LITE, and UL NASA Regional Application Center. Funding opportunities include assistantships and fellowships with separate application deadlines (assistantships due March 1 for fall, fellowships due February 1). The university is ranked in NSF's top 60 for research and development expenditures. The program is designed for those seeking faculty positions or senior research/development positions in industry, government, or universities.
Programs Offered
- Computer Science (Ph.D.) — 4-6 years, on-campus. Ph.D.
Career Outcomes
Top Employers: Intel.
Accreditations and Certifications
Location Advantages: Proximity to Louisiana's energy sector and offshore technology companiesGrowing regional tech ecosystem in South Louisiana
Louisiana State University and Agricultural & Mechanical College — Baton Rouge, LA
Key Distinction: LSU's machine learning program uniquely emphasizes domain applications across agriculture, energy, and environmental science, differentiating it from programs focused purely on tech-industry algorithms.
Hakia Insight: LSU's HPC@LSU facility and cross-disciplinary labs spanning agriculture, energy, and environmental science create dissertation opportunities in applied domains where ML breakthroughs directly influence billion-dollar industries—a rare advantage for earning industry citations before graduation.
At the doctoral level, machine learning research and education at LSU benefit from strong computational infrastructure and cross-disciplinary collaboration spanning engineering, agriculture, and physical sciences. The Department of Computer Science offers graduate specializations in machine learning and artificial intelligence, with particular emphasis on applications to real-world domains including remote sensing, bioinformatics, and agricultural systems. Students engage directly with faculty conducting federally funded research through the university's high-performance computing clusters and specialized laboratories. The curriculum balances theoretical foundations in statistical learning, neural networks, and optimization with practical capstone projects that often address challenges from LSU's extensive research partnerships. Location in Baton Rouge provides proximity to petrochemical and energy sector employers who actively recruit machine learning graduates, while the university's land-grant mission emphasizes translating computational advances into tangible industry and societal applications.
Programs Offered
- Doctor of Philosophy in Machine Learning — 4-6 years, on-campus
- Doctor of Science in Machine Learning — 4-6 years, online
Research Labs and Institutes
- LSU HPC@LSU (High Performance Computing Facility)
Industry Partners
- Exxon Mobil (corporate)
- Shell (corporate)
Location Advantages: Proximity to energy sector employers in Louisiana and Gulf CoastAccess to petrochemical industry partnerships
Tulane University of Louisiana — New Orleans, LA
Key Distinction: Research engagement starting first semester. Required interdisciplinary research project
Hakia Insight: Tulane requires interdisciplinary research projects starting first semester and partners with Ochsner Health System, meaning PhD candidates engage with healthcare ML problems from day one rather than waiting until dissertation year to build real-world portfolio pieces.
Tulane's PhD in Computer Science program requires 48 credit hours including core courses, research courses starting in the first year, and an interdisciplinary research project. The program structure includes oral qualifying exam at the end of the fifth semester, prospectus presentation in the seventh semester, and final dissertation defense. Students are paired with advisors upon entry and expected to engage in research as early as their first semester. Core requirements include algorithms, systems, and AI/ML courses with minimum 3.5 GPA. The interdisciplinary project must be completed by the end of the second year. PhD committee consists of at least three faculty initially, expanding to four with external member before third year. Students co-author papers during dissertation research phase, with the expectation that dissertation presents results as coherent theme. No specific funding package details, stipend amounts, or post-graduation placement statistics are provided.
Programs Offered
- Computer Science, PhD — 4-6 years, on-campus. PhD
Industry Partners
- Ochsner Health System (nonprofit)
Location Advantages: Access to healthcare and public health sector employersGrowing New Orleans tech ecosystem and startup communityPartnerships with local government and non-profits
