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.
Machine Learning
Undergraduate CertificateThese program requirements are for students who enroll in the 2024-2025 academic year.
Machine learning impacts all industry sectors that generate significant amounts of data. This online certificate program in machine learning combines study of methods and software tools to develop predictive models and artificial intelligence solutions. It can help prepare you for in-demand positions, such as machine learning engineer, applied machine learning scientist, artificial intelligence engineer, artificial intelligence specialist, and data scientist, among others. The program can serve as an excellent supplement to a wide range of majors—including cybersecurity, environmental management, computer science, and biotechnology—beyond data science.
Program Highlights
- Delve into data: Apply statistical tests and determine reasonable inferences and predictions from a set of data.
- Gain hands-on experience: Acquire, clean, explore, analyze, and communicate data obtained from a variety of sources.
- Study ethics: Study ethics within the context of data science, machine learning, and artificial intelligence.
- Stay on the cutting edge: Use the latest tools and technology to develop predictive models and AI solutions.
- Influence decisions: Use data to build predictive models for informed decision-making.
- Advance your skills: Study natural language processing, computer vision, and speech recognition.
Required Courses
- (3 Credits, STAT 200)
- (3 Credits, DATA 300)
- (3 Credits, DATA 320)
- (3 Credits, DATA 430)
- (3 Credits, DATA 450)
- (3 Credits, DATA 460)
Career Preparation
This program is designed to help you use software tools to develop predictive models and AI solutions.
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 Analytics
Undergraduate CertificateThese program requirements are for students who enroll in the 2024-2025 academic year.
Employers are looking to hire professionals who possess data analytics skills and can inform and enhance decision-making within corporations, nonprofit organizations, government agencies, or the military. The online certificate program in data analytics at University of Maryland Global Campus provides a valuable introduction to data science and can enhance your career opportunities. In this program, you will earn how to manage and manipulate data, create data visualizations, and use cutting-edge technology to gain insights from traditional and emerging data sources to make strategic data-driven recommendations that influence managerial decision-making and organizational outcomes.
Program Highlights
- Evaluate a business problem: Determine if data science can provide a viable solution.
- Apply leadership skills: Promote communication, ethical behavior, and quality performance.
- Implement methodology: Implement data science methodology including data extraction and cleaning.
- Execute best practices: Use diverse technologies in data science and artificial intelligence.
- Develop solutions: Incorporate data security, data privacy, and risk management best practices.
- Analyze ethical issues: Analyze social, global, and ethical issues and their implications.
Required Courses
- (3 Credits, STAT 200)
- (3 Credits, DATA 200)
- (3 Credits, DATA 320)
- (3 Credits, DATA 330)
- (3 Credits, DATA 335)
- Take one of the following courses:
- (3 Credits, CSIA 300)
- (3 Credits, DATA 300)
Career Preparation
This program is designed to help you gain introductory skills in data analytics that can benefit you in a number of industries.
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
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.