What Can You Do With a Master’s Degree in Artificial Intelligence?
October 19, 2026 2026-10-20 16:07What Can You Do With a Master’s Degree in Artificial Intelligence?
What Can You Do With a Master’s Degree in Artificial Intelligence?
Artificial intelligence is becoming part of how organizations analyze data, automate processes, develop software, and solve complex problems. That growth has also created a common question for technology professionals and recent graduates: What can you do with a master’s degree in artificial intelligence?
A graduate degree in artificial intelligence can help students develop deeper knowledge of machine learning, intelligent systems, data management, algorithms, deep learning, data mining, and the ways AI technologies are designed and applied.
At Orion Technical College, the Master of Science in Artificial Intelligence requires 30 semester credits and is designed to be completed in 20 months with continuous enrollment.* Students can pursue the program through a 100% online option or a hybrid format.*
What Do You Learn in a Master’s in Artificial Intelligence Program?
Artificial intelligence is a broad field that combines computing, mathematics, data, algorithms, and problem solving.
OTC’s Master of Science in Artificial Intelligence curriculum includes coursework in areas such as:
- Intelligent systems and business analytics
- Data management systems
- Integrated business processes
- AI for human interaction
- Advanced machine learning
- Algorithm design and analysis
- Deep learning
- Data mining and analytics
- Research methodologies
- Applied graduate research and project work
The program concludes with a Master’s Capstone Project, giving students an opportunity to bring together concepts developed throughout their graduate study.*
What Is Machine Learning?
Machine learning is one of the major areas within artificial intelligence.
Instead of programming every possible response into a system, machine learning methods use data to identify patterns and develop models that can make predictions, classifications, or other decisions.
Graduate-level AI study can explore how those models are created, evaluated, improved, and applied to different types of problems.
At OTC, advanced machine learning is part of the required Artificial Intelligence curriculum, along with related areas such as deep learning, algorithms, and data mining.*
What Is Deep Learning?
Deep learning is a specialized area of machine learning that uses neural networks with multiple layers to identify complex patterns in data.
It can be applied to areas such as image recognition, natural language processing, speech technologies, and other data-intensive problems.
OTC’s Artificial Intelligence master’s curriculum includes a course in Deep Learning and its Applications, along with coursework in advanced machine learning and data mining.*
For students pursuing graduate study in AI, understanding how these technologies relate to one another can be just as important as learning individual tools.
What Skills Can You Develop in an Artificial Intelligence Master's Program?
Graduate AI education can combine technical knowledge with analytical and research skills.
OTC’s program identifies areas of proficiency that include:
- Machine learning algorithms
- Deep learning
- Natural language processing
- Computer vision
- Reinforcement learning
- Data preprocessing
- Algorithm evaluation
- Ethics and bias mitigation
- Critical thinking
- Research and innovation
- Version control
- Python
- AI development libraries such as TensorFlow, PyTorch, and Keras*
The program also emphasizes applying AI technologies to complex problems and considering how intelligent systems can be used in organizations and automated projects.
What Careers Are Related to Artificial Intelligence?
Artificial intelligence skills can be relevant to a variety of technical and analytical roles.
Depending on a person’s previous education, technical skills, work experience, and employer requirements, AI-related career paths may include areas such as:
- Machine learning engineering
- Data science
- Natural language processing
- Computer vision
- Deep learning
- AI research
- Robotics
- AI consulting
- AI product development
- AI analysis
- AI software development
- AI project management
- Applied AI in healthcare, finance, and other industries
OTC identifies these and additional AI-related occupations as potential opportunities associated with the program.*
A graduate degree does not automatically qualify someone for a specific position. Employers may evaluate candidates based on education, professional experience, technical proficiency, portfolios, certifications, industry knowledge, and other qualifications.
Is Artificial Intelligence Only About Programming?
Programming is an important part of AI, but the field involves much more.
Artificial intelligence projects often require people to understand the problem being solved, organize and prepare data, choose appropriate algorithms, evaluate model performance, identify bias or limitations, and communicate results.
An AI system also needs to operate within a larger technical or organizational environment.
That is why graduate-level AI education can include topics such as data management, analytics, research, business processes, ethics, and human interaction alongside machine learning and programming.
Why Are Data Skills Important in AI?
Artificial intelligence systems depend heavily on data.
Before a machine learning model can produce useful results, data may need to be collected, organized, cleaned, transformed, and evaluated. Poor-quality or inappropriate data can significantly affect the performance of an AI system.
OTC’s curriculum reflects that relationship by including Data Management Systems and Data Mining and Analytics for Business alongside machine learning and deep learning coursework.*
For students interested in AI, developing an understanding of data can be just as important as learning how to build models.
Does AI Education Include Ethics?
Responsible use of artificial intelligence has become an important consideration as AI systems influence more business and technology decisions.
Issues can include bias in training data, model transparency, privacy, fairness, reliability, and the potential consequences of automated decisions.
Ethics and bias mitigation are among the proficiency areas identified for students in OTC’s Master of Science in Artificial Intelligence program.*
Understanding the limitations of AI systems can help professionals evaluate where a technology should be used, how results should be interpreted, and what safeguards may be appropriate.
Can You Earn a Master’s in Artificial Intelligence Online?
Yes. Orion Technical College offers a 100% online option for its Master of Science in Artificial Intelligence.*
OTC also maintains a separate hybrid program outline. In the hybrid format, some designated courses are fully online while other courses combine online instruction with on-campus learning.*
Students considering online graduate education should think about their schedule, learning preferences, access to technology, and ability to manage independent coursework.
Program availability can also depend on a student’s location and applicable authorization requirements.
How Long Does a Master’s in Artificial Intelligence Take?
Program length varies by institution and enrollment schedule.
At Orion Technical College, the Master of Science in Artificial Intelligence requires 30 semester credits and is designed to be completed in 20 months with continuous enrollment.*
The curriculum is organized across four terms and concludes with the Master’s Capstone Project.*
When comparing AI master’s programs, students may want to look at more than completion time. Curriculum, delivery format, research opportunities, technical content, capstone requirements, and institutional accreditation can all help determine whether a program aligns with their goals.
What Is an AI Capstone Project?
A master’s capstone provides an opportunity to apply concepts developed throughout a graduate program.
Rather than studying subjects entirely in isolation, capstone work can bring together areas such as data, machine learning, algorithms, research methodology, and problem solving.
OTC’s Artificial Intelligence curriculum includes a Master’s Capstone Project during the final term.*
For students, the capstone represents an opportunity to complete graduate-level applied work as part of the program.
Who Should Consider a Master’s in Artificial Intelligence?
Graduate study in artificial intelligence may appeal to people who want to develop a deeper understanding of how intelligent technologies are designed and applied.
Someone might consider an AI master’s program if they are interested in:
- Machine learning and deep learning
- Working with large or complex data sets
- AI software and intelligent systems
- Natural language processing
- Computer vision
- AI research
- Technical problem solving
- Applying AI within businesses or other organizations
- Understanding the ethical considerations surrounding AI
- Graduate-level technical and research work
The right graduate program depends on a person’s educational background, technical experience, professional goals, and areas of interest.
Master’s in Artificial Intelligence at Orion Technical College
Graduate study in artificial intelligence may appeal to people who want to develop a deeper understanding of how intelligent technologies are designed and applied.
Someone might consider an AI master’s program if they are interested in:
- Machine learning and deep learning
- Working with large or complex data sets
- AI software and intelligent systems
- Natural language processing
- Computer vision
- AI research
- Technical problem solving
- Applying AI within businesses or other organizations
- Understanding the ethical considerations surrounding AI
- Graduate-level technical and research work
The right graduate program depends on a person’s educational background, technical experience, professional goals, and areas of interest.
Frequently Asked Questions About a Master’s in Artificial Intelligence
Sources
Orion Technical College 2026–2027 Academic Catalog
Master of Science in Artificial Intelligence program information, including 30 semester credits, 20-month program length, curriculum, learning outcomes, areas of proficiency, graduate opportunities, and online and hybrid program outlines. The main program information begins on page 20, with the online and hybrid program outlines continuing through page 22.
View Academic Catalog →
