Lindsey Wilson University MS in Applied Machine Learning and Artificial Intelligence

Lindsey Wilson University offers a Master of Science in Applied Machine Learning and Artificial Intelligence built around practical AI development. The 33-credit program covers Python, data analytics, machine learning operations, natural language processing, deep learning, generative AI, responsible AI, and human-computer interaction. Students may follow a fully online path or a hybrid path with limited in-person residency coursework.

Quick Facts

SchoolLindsey Wilson University
LocationColumbia, Kentucky
DegreeMS in Applied Machine Learning and Artificial Intelligence
Credits33 credits
FormatOnline or Hybrid
Course Length7 weeks
Program Length4 accelerated or 6 standard terms
TuitionAbout $15,015 before fees
Minimum GPA2.5

Curriculum

The MSMA curriculum includes 30 credits of required core courses and a three-credit format-specific requirement. Every course carries three credits except the one-credit Career Development course used in the hybrid sequence. Hybrid students remain enrolled in Career Development long enough to earn at least three credits.

  • MSMA 5003: Foundations of Python and Machine Learning
  • MSMA 5013: Responsible AI: Ethics and Governance
  • MSMA 5023: Programming and Algorithmic Thinking for Applied AI
  • MSMA 5033: Human-Computer Interaction
  • MSMA 5043: Applied Data Analytics and Pattern Discovery
  • MSMA 6013: Machine Learning Applications and Operations
  • MSMA 6023: Natural Language Processing
  • MSMA 6033: Deep Learning and Neural Networks
  • MSMA 6043: Advanced Generative AI
  • MSMA 6903: Machine Learning Applied Project

Online students complete MSMA 6093: Advanced Topics in Machine Learning and AI as their final three-credit requirement. The university’s course descriptions show a clear applied emphasis. Students use Python tools such as NumPy, pandas, Matplotlib, and scikit-learn while studying model training, predictive modeling, clustering, anomaly detection, governance, and explainable AI.

Credits and Program Length

The degree requires 33 credits. Lindsey Wilson uses accelerated seven-week courses and publishes both standard and accelerated course sequences. The standard online plan runs across six terms, while the accelerated online plan runs across four terms. The university does not state a fixed completion time in months, so students should confirm current start dates and calendar spacing with an academic adviser.

The standard plan usually places two courses in each term, with the final Advanced Topics course taken in the sixth term. The accelerated plan increases the course load during the middle terms and finishes with Advanced Topics in the fourth term.

Tuition and Cost

Lindsey Wilson lists 2026-27 MSMA tuition at $455 per credit. At 33 credits, estimated base tuition is $15,015. This calculation excludes the $35 application fee, $250 enrollment deposit, $90 graduation fee, books, and other possible charges.

Hybrid students should also note the university’s listed $500 residency make-up fee. That charge appears to apply when a required residency must be replaced, so it is not included in the base tuition estimate.

Admissions

Applicants must submit the online graduate application and a $35 nonrefundable application fee. Lindsey Wilson requires an accredited bachelor’s degree with at least a 2.5 GPA, or an eligible completed graduate degree. The university notes that students without undergraduate coursework in technology and management may want to complete preparatory coursework before enrolling.

International applicants have additional transcript, English proficiency, financial documentation, and immigration requirements. Prospective students should use the official program requirements to confirm the current document list.

Machine Learning and AI Focus

This program has a strong and direct machine learning focus. Machine learning is part of the introductory course and continues through production operations, NLP, neural networks, generative AI, and the final applied project. The curriculum also gives responsible AI and human-centered design required status rather than treating them as optional topics.

The program appears most applied in its orientation. It emphasizes implementation, model workflows, organizational use, and governance more than mathematical theory or academic research. Students who want a research-heavy degree with a thesis should compare it with computer science or data science programs that publish faculty research tracks.

Online and Hybrid Formats

The online option is fully online. The hybrid option combines online work with courses that meet face-to-face for one weekend per term. The hybrid sequence replaces the online Advanced Topics course with ongoing Career Development enrollment and residency participation.

Students should confirm which location hosts the weekend meetings before applying. Lindsey Wilson’s main campus is in Columbia, Kentucky, but the published sequence does not identify a residency site on the course delivery page.

Capstone

All students complete MSMA 6903: Machine Learning Applied Project. The capstone asks students to combine theory and applied skills in a real-world AI development project. The program does not list a thesis option.

Who Is This Program Best For?

Lindsey Wilson is a strong fit for working professionals who want a focused AI degree with short courses and a choice between online and limited-residency study. The curriculum also suits career changers who need Python and foundational machine learning before moving into NLP, deep learning, generative AI, and MLOps.

Applicants who already have a strong computer science background may find the early Python and algorithm courses introductory. Those students should compare the course descriptions with their prior work and ask whether transfer credit or course substitutions are available.

Bottom Line

Lindsey Wilson’s MS in Applied Machine Learning and Artificial Intelligence is a clear fit for this directory. It offers unusually direct coverage of modern AI topics, a practical capstone, two delivery choices, and a relatively low estimated base tuition of $15,015. Its main tradeoff is that the program is new and applied, so students seeking a thesis, advanced mathematical depth, or a long research record may prefer a more traditional computer science program.