Artificial Intelligence (AI)

Tiffin University’s Master of Science in Artificial Intelligence is designed to prepare students for the evolving demands of the AI-driven world. The program offers a rigorous academic experience grounded in practical application, with coursework in machine learning, deep learning, big data analytics and intelligent systems design. 

Students develop a solid foundation in the theoretical principles of AI, while gaining hands-on experience using industry-standard platforms and tools. Whether they are pursuing careers in industry, research or advanced academic study, graduates are equipped with the skills and knowledge to lead innovation in diverse fields such as healthcare, finance, cybersecurity and manufacturing.

The program’s structure supports those entering or advancing in the AI field, with opportunities for specialization and research throughout the coursework.

Tiffin University’s MS in Artificial Intelligence is a career-focused, application-driven program designed to prepare students to lead AI innovation in a wide range of industries. Students work with faculty who bring both academic excellence and real-world experience in fields such as AI model development, big data analytics and cloud-based computing.

Students gain practical experience through the TU AI and Robotics Lab, where high-performance computing systems and advanced tools like TensorFlow, PyTorch, Hadoop and Spark simulate real-world environments. Coursework emphasizes hands-on training, from designing scalable machine learning models to processing large-scale datasets and developing ethically sound AI solutions.

Through this program, students gain the ability to:

• Translate classroom knowledge into industry applications through capstone projects and lab-based experience
• Build and deploy AI models to solve real-world problems
• Analyze and interpret complex datasets using advanced AI techniques
• Leverage big data tools and platforms like Hadoop, Spark and cloud-based AI services
• Apply ethical frameworks to ensure responsible AI development

Format

Online – Offered in two terms per semester starting in January, March, May, July, August and October

On-Campus – Offered in January and August

Sample Courses

Advanced Artificial Intelligence (AIT 510) – This course introduces core AI concepts and modern techniques, including machine learning, deep learning and neural networks. Students gain hands-on experience building intelligent systems and exploring how AI is used in areas such as healthcare, finance and automation. The course helps students develop the problem-solving skills needed to apply AI in real-world settings.

Advanced Machine Learning (AIT 550) – Students study supervised and unsupervised learning, learning theory, graphical models and reinforcement learning. The course builds the mathematical and technical foundation needed to create and improve machine learning models. Students also learn how to evaluate performance and apply machine learning methods to complex problems.

Deep Learning (AIT 650) – This course explores advanced deep learning methods and model architectures, including convolutional neural networks, recurrent neural networks, autoencoders and generative models. Students examine how these approaches are used in areas such as computer vision, medical imaging and natural language processing. The course gives students a deeper experience with the tools and techniques behind today’s most powerful AI systems.

Natural Language Processing (AIT 660) – Students learn the foundations of natural language processing and how AI systems work with human language. Coursework covers topics such as text categorization, sentiment analysis, topic modeling and machine translation. Students also explore the models that support modern language applications and real-world NLP solutions.

Capstone (AIT 685) – In the capstone course, students bring together what they have learned across the program in a substantial project focused on a real-world problem. The experience emphasizes analysis, ethical decision-making, professional communication and practical solution design. Students finish the program by presenting a final project that demonstrates technical mastery and career readiness.

Graduates of the Master of Science in Artificial Intelligence program will be equipped with advanced technical skills, practical experience, and a strong foundation in ethical and scalable AI practices. The program is designed to prepare students for high-demand roles across industries that are rapidly integrating AI technologies into their operations.

According to recent labor market reports, AI and Big Data roles are among the fastest-growing in the global job market. In fact, the World Economic Forum’s Future of Jobs Report 2025 ranks AI and Big Data as the top fastest-growing skills projected to dominate the job market by 2030. 

Additionally, the U.S. Bureau of Labor Statistics projects that jobs in AI and big data will grow by 35% between 2023 and 2033. Salaries in these areas are significantly above the national average, with some positions commanding six-figure incomes. As industries continue to expand their AI capabilities, demand for professionals with both deep technical knowledge and practical experience will only increase.

Career paths may include:

• AI Research Scientist 
• Machine Learning Engineer 
• AI Data Scientist 
• Big Data AI Engineer 
• AI Solutions Architect 
• AI Cloud Engineer 
• Business Intelligence AI Specialist 
• AI Ethics Consultant 

What is artificial intelligence?

Artificial intelligence (AI) is a branch of computer science focused on building systems that can perform tasks requiring human intelligence. This includes capabilities like learning, reasoning, problem-solving, perception and language understanding. AI powers everything from search engines and recommendation systems to self-driving cars and virtual assistants.

What is a master’s degree in artificial intelligence?

A Master of Science in Artificial Intelligence is a graduate degree designed to prepare students for advanced roles in AI research and application. Tiffin University’s program includes coursework in machine learning, deep learning, natural language processing, big data and computer vision. It is structured to provide both theoretical knowledge and hands-on experience with tools like Python, PyTorch and TensorFlow.

What can I do with a master’s in artificial intelligence?

Graduates with a master’s in AI are equipped to pursue a wide range of careers in technology, business and research. Potential job titles include AI engineer, machine learning specialist, data scientist, AI researcher, cloud AI developer and big data analyst. These roles are in demand across industries such as healthcare, finance, cybersecurity, manufacturing and more.

Is the M.S. in Artificial Intelligence offered online?

Yes. Tiffin University’s AI program is offered in both seated and online formats. Our campus program is designed for students who prefer in-person instruction and campus resources. Additionally, our online program offers flexibility for working professionals and students worldwide, and all coursework can be completed remotely, with no on-campus requirements.