Find the right UMGC degree, specialization, 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 2022-2023 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: Explain the fundamental concepts and principles of AI, including machine learning, deep learning, and natural language processing.
- Evaluate AI adoption: Evaluate opportunities for AI adoption in the enterprise, within a range of sectors including finance, healthcare, marketing, and/or cybersecurity.
- Analyze data: Design and implement appropriate data analysis and AI processes to achieve business outcomes within a range of sectors including finance, healthcare, marketing, and cybersecurity.
- Apply best practices: Apply best practices, using diverse technologies in data science, business intelligence, machine learning, and artificial intelligence.
- Design AI techniques: Construct effective generative AI techniques in creative fields, content generation, and innovation.
- Create frameworks: Create a framework to promote responsible AI practices and ethical decision-making regarding AI systems.
- Analyze ethics: Analyze social, global, and ethical issues and their implications as they relate to the use of existing and emerging AI technologies.
- Communicate effectively: Communicate orally and in writing, meeting expectations for content, purpose, organization, audience, and format.
Required Courses
Core Courses
Take all of the following courses:
- (3 Credits, ARIN 310)
- (3 Credits, ARIN 320)
- (3 Credits, ARIN 340)
- (3 Credits, ARIN 410)
- (3 Credits, DATA 300)
- (3 Credits, ARIN 495)
Major Tracks
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.
Capstone Course
- (3 Credits, ARIN 495)
Related Required Courses
These courses apply to requirements for both tracks in this major:
- (3 Credits, STAT 200)
- (3 Credits, DATA 200)
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.
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
- $250 per credit hour
(Europe & Downrange)
See our Tuition Rates page for details.
Admission Requirements
This program follows standard UMGC 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 2022-2023 academic year.
The bachelor's in data science at University of Maryland Global Campus Europe is designed to meet the growing need for highly skilled professionals who can transform data into actionable insights. You'll have the opportunity to gain hands-on experience with frequently used analytical tools and methods, manage and manipulate data, create data visualizations, build predictive models using different machine learning techniques, apply artificial intelligence (AI) and natural language processing techniques to gain insights from free text, images, and videos, and make strategic data-driven recommendations that directly impact business outcomes.
Program Highlights
- Communicate effectively orally and in writing, meeting expectations for content, purpose, organization, audience, and format
- Implement all stages of data science methodology, including data extraction, data cleaning, data load, and transformation
- Execute best practices using diverse technologies in data science, business intelligence, machine learning, and artificial intelligence
- Analyze social, global, and ethical issues and their implications as they relate to the use of existing and emerging data science, machine learning, and artificial intelligence technologies
- Evaluate a business problem or opportunity to determine the extent data science can provide a viable solution and translate the business problem into a viable project to meet organizational, strategic, and operational needs
- Incorporate data security, data privacy, and risk management best practices in the planning, development, and implementation of data science solutions
- 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 big data analytics and AI technology to create solutions for stream analytics, text processing, natural language understanding, AI, and cognitive applications
Required Courses
Required Major Core 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, ARIN 440)
- (3 Credits, DATA 445)
- (3 Credits, ARIN 450)
- (3 Credits, ARIN 460)
Required Major Capstone Course
- (3 Credits, DATA 495)
Required Related 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 program is designed to help you become a highly skilled professional who can transform large amounts of data into actionable insights. One of the major outcomes of the program is to provide you with hands-on experience with a variety of the most ubiquitous analytical tools and methods.
Experience Recommended for Success in the Program
Total Program Credits
120
Transfer Credits
Up to 90
Format
- All courses are available online
- Select on-site and hybrid courses available
Tuition Per Credit
- $250 per credit hour
(Europe & Downrange)
See our Tuition Rates page for details.
Admission Requirements
Military-Specific Details
State-Specific Details