Find the right ÐÒ¸£±¦µ¼º½ degree, specialization, or certificate for your professional and educational goals. Use the compare option to decide between multiple programs of interest.
Artificial Intelligence Foundations
Undergraduate CertificateThese program requirements are for students who enroll in the 2024-2025 academic year.
Program Highlights
- 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.
Required Courses
- (3 Credits, DATA 200)
- (3 Credits, ARIN 310)
- (3 Credits, CMSC 307)
- (3 Credits, ARIN 340)
- (3 Credits, ARIN 350)
- (3 Credits, ARIN 410)
Career Preparation
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.
Experience Recommended for Success in the Program
No previous experience is needed.
Total Program Credits
18
Transfer Credits
Up to 9
Format
- All courses available online
- Select hybrid courses available
Tuition Per Credit
- $324 per credit (in-state)
- $499 per credit (out-of-state)
- $250 per credit (military)
- Other fees may apply
Admission Requirements
This program follows standard ÐÒ¸£±¦µ¼º½ 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.
Augmented & Virtual Reality Design
Undergraduate CertificateThese program requirements are for students who enroll in the 2024-2025 academic year.
The augmented and virtual reality design certificate program at University of Maryland Global Campus helps provide you with entry-level skills for a career in these immersive technologies. In this project-centric program, you’ll be exposed to virtual reality design and augmented reality design, 3D game engines, user experience and interface design, and immersive design techniques.
Program Highlights
- Gain skills: Gain entry-level skills for a career in immersive technologies.
- Gain hands-on experience: Develop, test, and deploy augmented reality experiences following design theory and best practices.
- Delve into digital design: Study the principles, practices, techniques, and theories that govern web and digital design.
- Learn techniques: Learn about the techniques and theories that govern scripting and programming languages.
- Study design thinking: Gain skills in design thinking and the basic principles of user experience and interaction design.
- Manage projects: Modify existing scripting languages and HTML code and conduct a usability review.
Required Courses
- (3 Credits, CMST 290)
- (3 Credits, CMST 315)
- (3 Credits, CMST 330)
- (3 Credits, CMST 331)
- (3 Credits, CMST 390)
- (3 Credits, CMST 490)
Career Preparation
This certificate program is designed to help you gain project-based experience in virtual and augmented reality design, UX, 3D game engines, and more.
Experience Recommended for Success in the Program
No previous experience is needed.
Total Program Credits
18
Transfer Credits
Up to 9
Format
- All courses available online
- Select hybrid courses available
Tuition Per Credit
- $324 per credit (in-state)
- $499 per credit (out-of-state)
- $250 per credit (military)
- Other fees may apply
Admission Requirements
This program follows standard ÐÒ¸£±¦µ¼º½ 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.
Data Science
Bachelor of ScienceThese program requirements are for students who enroll in the 2024-2025 academic year.
Program Highlights
- 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.
Required Courses
- (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)
- (3 Credits, DATA 440)
- (3 Credits, DATA 445)
- (3 Credits, DATA 450)
- (3 Credits, 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
Career Preparation
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.
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
- $324 per credit (in-state)
- $499 per credit (out-of-state)
- $250 per credit (military)
- Other fees may apply
Admission Requirements
This program follows standard ÐÒ¸£±¦µ¼º½ 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.