Find the right Ä¢¹½¶ÌÊÓƵ degree, concentration, or certificate for your professional and educational goals. Use the compare option to decide between multiple programs of interest.
Applied Artificial Intelligence
Master of ScienceThese program requirements are for students who enroll in the 2026–2027 academic year.
Secure a foothold in the rapidly expanding artificial intelligence (AI) career field by earning a Master of Science in Applied Artificial Intelligence at University of Maryland Global Campus. This program provides comprehensive technical and strategic foundations in AI through core coursework in mathematics, machine learning, deep learning, data engineering, and systems design, while emphasizing ethical AI development and practical applications.
Ä¢¹½¶ÌÊÓƵ's convenient online classroom can give you the flexibility to earn your degree on your own schedule, while our expert faculty members help equip you with skills that modern employers are looking for. Ready to take your first step into the future? Apply today. 
Program Highlights
- Build analytical skills: Analyze the foundational concepts and principles of data-driven AI in the context of real-world applications and case studies.
- Evaluate AI applications: Evaluate the potential applications and implications of AI in various industries, identifying strategic opportunities and risks.
- Design processes: Design and implement appropriate data, technology, and AI-driven processes and techniques to extract insights from data, address business challenges, and achieve desired outcomes.
- Use AI responsibly: Analyze the ethical, global, and human-centered implications of AI technologies to promote responsible design, development, and use.
- Apply knowledge: Develop AI knowledge, skills, and capabilities in areas such as healthcare, cybersecurity, finance, accounting, HR, marketing, AI leadership, systems engineering, sourcing, procurement, or public policy.
- Communicate effectively: Communicate clearly in various forms, meeting expectations for content, purpose, organization, audience, and format.
Required Courses
This program requires a total of 30 credits. You’ll take 9 credits of core courses, 18 elective credits, and a 3-credit capstone.Â
Throughout this program, you will have no-cost access to open source and proprietary data science software and AI Model instances and licenses per industry agreements.
 Core Courses
- ARIN 610   
- (3 Credits, ARIN 615)
- ARIN 620  
 Elective Courses
Take six 3-credit elective courses (outlined under Select Applied AI Elective Courses) for a total of 18 credits.
Capstone Course
Select the capstone course that is reflective of your chosen elective area: 
- ARIN 690A (AI Engineering Capstone)
- ARIN 690B (AI & Cybersecurity Capstone)
Career Preparation
This program is designed to equip you with strong theoretical foundations and practical experience using modern AI tools to design, develop, and evaluate real-world AI solutions. The program may prepare you for advanced technical roles and continuous adaptation in the rapidly evolving AI landscape.
Experience Recommended for Success in the Program
This program is ideal for working professionals, career changers, and technology practitioners who want to apply AI to real-world challenges.
Total Program Credits
30
Transfer Credits
Up to  12
Format
- All courses available online 
Tuition Per Credit
- $555 per credit (in-state)
- $659 per credit (out-of-state)
- $336 per credit (military)
- Other fees may apply
Admission Requirements
This program follows standard Ä¢¹½¶ÌÊÓƵ admission requirements. 
Military-Specific Details
This program does not have military restrictions. It is available to all eligible civilian and military-affiliated students. 
State-Specific Details
This program does not have state-specific restrictions. Â
Artificial Intelligence
Bachelor of ScienceThese program requirements are for students who enroll in the 2026–2027 academic year.
Join the artificial intelligence (AI) revolution and gain workplace-ready skills with a bachelor’s degree in AI from University of Maryland Global Campus. Expand your artificial intelligence knowledge base under the direction of experienced faculty members who bring their practical expertise to the classroom. You can also earn your online bachelor’s degree in AI on your own schedule with our convenient online courses and save time and money with our generous transfer credit policy and in-state tuition for Maryland students. Why wait? Take the first step and apply today!
Program Highlights
- Learn AI concepts:Â Explain the fundamental concepts and principles of AI, including machine learning, deep learning, and natural language processing.Â
- Evaluate AI adoption:Â Evaluate opportunities for AI adoption in the enterprise, within a range of sectors including finance, healthcare, marketing, and/or cybersecurity.Â
- Analyze data:Â Design and implement appropriate data analysis and AI processes to achieve business outcomes within a range of sectors including finance, healthcare, marketing, and cybersecurity.Â
- Apply best practices:Â Apply best practices, using diverse technologies in data science, business intelligence, machine learning, and artificial intelligence.Â
- Design AI techniques:Â Construct effective generative AI techniques in creative fields, content generation, and innovation.Â
- Create frameworks:Â Create a framework to promote responsible AI practices and ethical decision-making regarding AI systems.Â
- Analyze ethics:Â Analyze social, global, and ethical issues and their implications as they relate to the use of existing and emerging AI technologies.Â
- Communicate effectively: Communicate orally and in writing, meeting expectations for content, purpose, organization, audience, and format. Â
Required Courses
Core CoursesÂ
Take all of the following courses:Â
- (3 Credits, ARIN 310)Â Â
- (3 Credits, ARIN 320)Â
- (3 Credits, ARIN 340)Â
- (3 Credits, ARIN 410)Â
- (3 Credits, DATA 300)Â
Major TracksÂ
You must complete an entire seven-course (21-credit) track in either AI Applications or AI Developer. The full course list for each track is available for your reference.Â
Capstone CourseÂ
- (3 Credits, ARIN 495)Â
Related Required CoursesÂ
These courses apply to requirements for both tracks in this major:Â
- (3 Credits, STAT 200)Â
- (3 Credits, DATA 200)Â
Career Preparation
This program is designed to prepare you for a career utilizing AI, which has strategic and operational impacts across a wide variety of industry sectors. AI has applications in business, management, cybersecurity, IT, healthcare, criminal justice, education, social sciences, journalism, natural sciences, and more.Â
Experience Recommended for Success in the Program
No previous experience is needed.
Total Program Credits
120
Transfer Credits
Up to 90
Format
- All courses available online
- Select hybrid courses available
Tuition Per Credit
- $337 per credit (in-state)
- $499 per credit (out-of-state)
- $250 per credit (military)
- Other fees may apply
Admission Requirements
This program follows standard Ä¢¹½¶ÌÊÓƵ admission requirements.
Military-Specific Details
This program does not have military restrictions. It is available to all eligible civilian and military-affiliated students.
State-Specific Details
This program does not have state-specific restrictions.
Digital Forensics & Cyber Investigation
Master of ScienceThese program requirements are for students who enroll in the 2026–2027 academic year.
Advance in your career with an online master’s degree in digital forensics and cyber investigation from University of Maryland Global Campus. This career-relevant online master’s degree program may help provide you with the key skills employers are seeking. Study in a convenient online classroom with knowledgeable professors who have hands-on working experience in the cybersecurity industry. Access course materials that are available as no-cost electronic resources for most courses in this program, so you can save money on textbooks. Start gaining knowledge you can apply on the job right away and apply today! 
Program Highlights
- Communicate effectively: Communicate clearly in writing and speaking, meeting expectations for content, purpose, organization, audience, and format.
- Make decisions: Use mathematical information, operations, and quantitative analyses to solve problems and inform decision-making.
- Follow procedures: Interpret and follow laws, policies, procedures, and governance in digital forensic and incident response situations.
- Use digital tools: Demonstrate the appropriate use of multiple digital forensic tools and technologies in a variety of criminal and security breach situations and in preparing reports and presenting findings.
- Design strategies: Design and implement strategies for proper seizure, evidence handling, investigation, analysis of digital artifacts, preparation of reports, and presentation of findings.
- Apply ethical frameworks: Apply proper professional, legal, and ethical frameworks to govern forensic activities in local, national, and global environments.
- Assess information: Assess information architecture for potential security threats and evidentiary value.
- Obtain knowledge: Obtain the knowledge, skills, and abilities needed to master various functions of cybersecurity technology, including tools and systems.
Required Courses
This program requires a total of 30 credits. You’ll take 15 credits of core courses, 12 elective credits, and a 3-credit capstone.
Core Courses
- (3 Credits, DFCS 605)
- (3 Credits, DFCS 615)
- (3 Credits, DFCS 625)
- (3 Credits, DFCS 635)
- (3 Credits, DFCS 645)
Elective Courses
Take four 3-credit elective courses (outlined under Select Digital Forensics & Cyber Investigation Elective Courses) for a total of 12 credits.
Capstone Course
- (3 Credits, DFCS 690)
Career Preparation
This program is designed to help prepare you for work in government organizations, the private sector, and law enforcement agencies in the areas of computer and digital crime. Potential job titles within specific digital forensics and cyber investigation careers include cyber defense forensics analyst, cyber defense incident responder, systems security analyst, law enforcement/counterintelligence forensics analyst, and information security analyst.
Experience Recommended for Success in the Program
We recommend having a background in computing and programming for this program. Strong writing skills are also encouraged.
Total Program Credits
30
Transfer Credits
Up to 12
Format
- All courses available online
- Select hybrid courses available
Tuition Per Credit
- $694 per credit (in-state)
- $694 per credit (out-of-state)
- $336 per credit (military)
- Other fees may apply
Admission Requirements
This program follows standard Ä¢¹½¶ÌÊÓƵ admission requirements.
Military-Specific Details
This program does not have military restrictions. It is available to all eligible civilian and military-affiliated students.
State-Specific Details
This program does not have state-specific restrictions.