What you need to know about the
MSMA program
The Master of Science in Applied Machine Learning and Artificial Intelligence (MSMA) at Lindsey Wilson University prepares students to become innovators, problem-solvers, and ethical leaders in one of today’s fastest-growing fields.

This program is designed for professionals who want to move beyond data analysis into intelligent systems development, combining advanced machine learning, deep learning, and AI-driven decision-making with real-world applications. Students gain hands-on experience building, deploying, and evaluating AI solutions across industries.

The MSMA emphasizes:
  • Applied, project-based learning
  • Scalable and production-ready AI systems
  • Ethical, responsible, and human-centered AI design
  • Integration of AI into business and organizational strategy
The program is application-based and focused on real-world skill development, and builds practical expertise aligned with industry needs.

Job Outlook

Artificial intelligence and machine learning are reshaping every sector of the economy, from healthcare and finance to logistics, cybersecurity, and education.

According to the U.S. Bureau of Labor Statistics, careers related to data science and AI are projected to grow significantly faster than average, with strong demand for professionals who can design intelligent systems and interpret complex data.

Graduates of the MSMLAI program are prepared for roles such as:
  • Machine Learning Engineer
  • AI Engineer
  • Data Scientist
  • AI Product Manager
  • Business Intelligence Analyst
  • AI Solutions Architect
With organizations increasingly relying on automation, predictive analytics, and generative AI, professionals with applied AI expertise are in high demand and command competitive salaries.

What Might I Do with a Degree in Applied Machine Learning and AI?

An MSMA degree opens doors to both technical and strategic roles. Graduates are equipped not only to build models, but also to translate AI into meaningful organizational impact.

You might:
  • Develop and deploy machine learning models for real-world applications
  • Design AI-driven decision systems for business strategy
  • Lead AI initiatives within organizations
  • Evaluate ethical implications and risks of AI systems
  • Communicate technical insights to non-technical stakeholders
Whether working in startups, Fortune 500 companies, healthcare systems, or government agencies, MSMA graduates play a key role in shaping the future of intelligent technologies.

What Does it Mean to Study Applied Machine Learning and AI?

Studying applied machine learning and AI means more than learning algorithms. It means learning how to solve real problems using intelligent systems.

In this program, students:
  • Build advanced models, including deep learning and generative AI
  • Work with real-world datasets and unstructured data
  • Explore natural language processing, computer vision, and predictive analytics
  • Learn to deploy AI solutions in scalable environments
  • Examine ethical, legal, and societal implications of AI
The focus is on application, integration, and impact, ensuring graduates can move from theory to practice with confidence.

Why Choose the MSMA at Lindsey Wilson University?

  • Application-Based Curriculum: Emphasis on hands-on projects and real-world problem solving
  • Flexible Delivery: Online or hybrid formats designed for working professionals (consistent with existing graduate delivery models )
  • Career-Focused Outcomes: Skills aligned with high-growth AI and machine learning careers
  • Ethical AI Emphasis: Strong foundation in responsible and trustworthy AI
  • Capstone Experience: Demonstrate mastery through a comprehensive applied project

The Bottom Line

Artificial intelligence skills are no longer optional.

The MS in Applied Machine Learning and AI prepares you to:
  • Lead in a data-driven world
  • Build intelligent, scalable solutions
  • Navigate the ethical and strategic complexities of AI
Or put more simply: you won’t just use AI, you’ll help shape it’s impact.