Find the right ÍÃ×ÓÏÈÉúdegree, concentration, or certificate for your professional and educational goals. Use the compare option to decide between multiple programs of interest.
Artificial Intelligence
Bachelor of ScienceThese program requirements are for students who enroll in the 2024-2025 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!
- 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
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 Â
- (3 Credits, ARIN 495)Â 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
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
No previous experience is needed.
- All courses available online
- Select hybrid courses available
- $330 per credit (in-state)
- $499 per credit (out-of-state)
- $250 per credit (military)
- Other fees may apply
This program follows standard ÍÃ×ÓÏÈÉúadmission requirements.
This program does not have military restrictions. It is available to all eligible civilian and military-affiliated students.
This program does not have state-specific restrictions.
Artificial Intelligence Foundations
Undergraduate CertificateThese program requirements are for students who enroll in the 2024-2025 academic year.
Position yourself for success in a new and exciting field by earning an undergraduate certificate in artificial intelligence (AI) foundations from University of Maryland Global Campus. Leverage the latest AI technologies to drive results for your organization or company. Learn from experienced faculty members, who bring their practical knowledge and real-world experiences to the classroom. Plus, you’ll save valuable time and money along the way, thanks to UMGC’s generous transfer credit policy. Ready to lead the way for your organization? Apply today.
- Explore principles: Explain the fundamental concepts and principles of AI, including machine learning, deep learning, and natural language processing.
- Identify adoption opportunities: Identify opportunities for AI adoption within a range of sectors, including finance, healthcare, marketing, and cybersecurity.
- Generate content: Apply generative AI principles and techniques in creative fields, content generation, and innovation.
- Develop ethical frameworks: Develop a framework to promote responsible AI practices and ethical decision-making regarding AI systems.
- Analyze data: Apply appropriate data analysis and AI techniques and tools to achieve business outcomes.
- (3 Credits, DATA 200)
- (3 Credits, ARIN 310)
- CMSC 307
- (3 Credits, ARIN 340)
- (3 Credits, ARIN 350)
- (3 Credits, ARIN 410)
This program is designed for working professionals interested in a modern, forward-facing career in AI. The workplace-ready skills you learn in this program may allow you to contribute to critical outcomes within all types of organizations, including small businesses, large corporations, nonprofits, government agencies, and the military. This certificate may help provide you with essential user- and manager-centric perspectives on AI that are critical to developing AI applications or applying AI to technical areas.
No previous experience is needed.
- All courses available online
- Select hybrid courses available
- $330 per credit (in-state)
- $499 per credit (out-of-state)
- $250 per credit (military)
- Other fees may apply
This program follows standard ÍÃ×ÓÏÈÉúadmission requirements.
This program does not have military restrictions. It is available to all eligible civilian and military-affiliated students.
This program does not have state-specific restrictions.
Data Science
Bachelor of ScienceThese program requirements are for students who enroll in the 2024-2025 academic year.
Acquire key skills in research, analysis, and technology with an online bachelor’s degree in data science from University of Maryland Global Campus. Expand your knowledge base as you take courses in data modeling, machine learning, and artificial intelligence. Study a truly modern curriculum by enrolling in convenient online classes taught by our experienced faculty members, who bring real-world experience to the classroom. Plus, you’ll save time and money while earning your degree, thanks to UMGC’s generous transfer credit policy. Ready to move your career forward? Apply today!
- Communicate effectively: Communicate effectively, orally and in writing, meeting expectations for content, purpose, organization, audience, and format.
- Implement data stages: Implement all stages of data science methodology, including data extraction, data cleaning, data load, and transformation.
- Use technology: Execute best practices, using diverse technologies, in data science, business intelligence, machine learning, and artificial intelligence.
- Analyze issues: Analyze social, global, and ethical issues and their implications as they relate to the use of existing and emerging data science, machine learning, and AI technologies.
- Evaluate problems: Evaluate a business problem or opportunity to determine the extent to which data science can provide a viable solution and translate the business problem into a viable project to meet organizational strategic and operational needs.
- Incorporate best practices: Incorporate data security, data privacy, and risk management best practices in the planning, development, and implementation of data science solutions.
- Deploy models: Build and deploy the machine learning process throughout its life cycle in full compliance with best practices for tool evaluation, model selection, and model validation.
- Leverage analytics: Leverage big data analytics and AI technology to create solutions for stream analytics, text processing, natural language understanding, AI, and cognitive applications.
- (3 Credits, STAT 200)
- (3 Credits, DATA 230)
- (3 Credits, DATA 300)
- (3 Credits, CSIA 300)
- (3 Credits, DATA 320)
- (3 Credits, DATA 330)
- (3 Credits, DATA 335)
- (3 Credits, DATA 430)
- DATA 440
- (3 Credits, DATA 445)
- DATA 450
- DATA 460
- (3 Credits, DATA 495)
Related Required Courses
The following required courses may be applied to general education requirements:
- (3 Credits, DATA 200)
- (3 Credits, MATH 115) or a more advanced MATH course
This online degree program is the perfect fit for mid-career professionals who are looking to advance their careers and play their part in a modern and future-facing industry. The skills you learn in this program are universal and can help you apply for jobs in the public sector, the private sector, or the non-profit sector. Potential job titles include data scientist, data architect, AI application developer, business intelligence manager, and AI engineer.
No previous experience is needed.
- All courses available online
- Select hybrid courses available
- $330 per credit (in-state)
- $499 per credit (out-of-state)
- $250 per credit (military)
- Other fees may apply
This program follows standard ÍÃ×ÓÏÈÉúadmission requirements.
This program does not have military restrictions. It is available to all eligible civilian and military-affiliated students.
This program does not have state-specific restrictions.