Masters in Artificial Intelligence-Build Future with AI

Gain advanced AI expertise, explore deep learning innovations, and prepare for leadership roles shaping tomorrow’s intelligent technologies and automated solutions.

Transform Your Career with AI Expertise

Artificial Intelligence is reshaping industries, creating new opportunities for skilled professionals who can design, implement, and manage intelligent systems. Graduates of this program are equipped to take on roles in sectors such as healthcare, finance, manufacturing, transportation, and technology, where AI innovation drives growth and efficiency. Your advanced understanding of machine learning, deep learning, and data-driven decision-making will make you a valuable asset in both private and public organizations. With AI adoption accelerating globally, demand for experts is expected to rise exponentially, offering lucrative salaries and leadership prospects. Whether you aspire to become an AI researcher, solutions architect, or technology consultant, this degree positions you at the forefront of a rapidly evolving digital future.

Detailed Information About The Course

Networks and Telecommunications

This course teaches about the technologies that are being used in the marketplace. The course covers market-driven content such as wireless LANs, security and network management, TCP/IP, and application layers.

Information Technology

This course covers the basic hardware of a personal computer, including installation, operations and interactions with software. Topics include component identification, memory-system, peripheral installation and configuration, preventive maintenance, hardware diagnostics/repair, installation and optimization of system software, commercial programs, system configuration, and device-drivers.

Computer Science

This course uses broad coverage and clear exposition to present a complete picture of the dynamic computer science field. An overview of each of the important areas of Computer Science (e.g. Networking, OS, Computer Architecture, Algorithms) provides you with a general level of proficiency for future courses.

Computing Concepts

This course covers the introduction to the computer science discipline, including an introduction to computing environments, general application software, computing hardware, operating systems, desktop publishing, internet, software applications and tools and computer usage concepts; introducing software engineering and information technology within the broader domain of computing.

It Project Management

This course explains how to successfully manage an IT project and prepare Track from Start to Finish. The course walks you through each step of the IT project management process, covering critical strategies for on-time and within-budget projects.

Advanced Artificial Intelligence Concepts

This advanced course explores complex concepts in artificial intelligence, providing students with expert knowledge and skills. Topics include advanced neural networks, cutting-edge algorithms, and innovative applications.

Artificial Intelligence Innovations

This course explores the latest innovations and technologies in artificial intelligence. Students will learn about emerging trends, new research, and innovative practices that are shaping the future of AI.

Artificial Intelligence Leadership

This leadership course focuses on developing the skills necessary to lead and manage AI teams effectively. Students will learn about leadership styles, team dynamics, and strategic management in the context of AI.

Artificial Intelligence Research Methods

This research-focused course provides students with the skills to conduct scientific research in artificial intelligence. Students will learn research methodologies, data analysis, and how to apply research findings to improve AI practices.

Professional Practice in Artificial Intelligence

This course provides students with the practical skills and knowledge needed for a professional career in artificial intelligence. Students will learn about industry standards, professional practices, and how to excel in their careers.

460+

Graduates past year

78%

Received Financial Assistance

90+

Job Opportunities

42

Expert Faculty Members

Why Choose Us

01

Industry-Relevant Curriculum

Our courses are designed with direct input from industry experts, ensuring that the skills you gain are current, practical, and aligned with real-world demands. You’ll graduate with knowledge that employers are actively seeking, giving you a competitive edge in the job market.

02

Flexible Learning Experience

We understand that every student has unique needs and commitments. That’s why our programs offer flexible schedules, online access, and personalized learning paths, allowing you to balance education with your career and personal life.

03

Expert Faculty & Support

Our dedicated faculty members bring both academic excellence and professional experience to the classroom. Combined with comprehensive student support services, you will have the guidance, mentorship, and resources you need to succeed at every stage of your learning journey.

We’ve Got Your Back, Every Step of the Way

At CUO, you’re never alone on your academic journey. From day one, you’ll have access to dedicated academic advisors, career counselors, writing and research support, peer tutoring, and mental health resources. Our online learning environments are designed to be interactive and collaborative, ensuring a smooth educational experience. Plus, you’ll benefit from networking events, industry guest lectures, and career workshops that prepare you for life beyond graduation.

Speak to a Consultant

Make Quality Education Affordable

We believe that financial constraints shouldn’t hinder your future. CUO offers a range of merit-based, need-based, and international student scholarships for accounting majors. You may qualify for up to 80% tuition coverage based on your academic achievements or financial need. Additional scholarships are available for working adults, women in business, and underrepresented communities. Apply early to secure your financial aid and make your accounting degree more accessible than ever.

Explore Scholarship Plans

What You Need to Enroll In This Program

Eligibility Criteria

Bachelor's Degree or equiv. international education

Course Fee

$27,000

Credit Hours

Depends on subjects

Duration of Program

1 Year (Self-Paced)

What Our Students Say

From classroom learning to career breakthroughs, our students have seen it all. Their success stories highlight the impact of our teaching, support, and industry preparation.

“This course gave me a strong foundation and the flexibility to learn at my own pace. The faculty support was amazing!”
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Sarah Malik B.A. in Economics
“The course structure was practical and helped me apply knowledge directly in my job. Truly career-transforming!”
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Ahmed Khan Master’s in Finance
“Loved the flexibility and the focus on real-world examples. It made learning engaging and meaningful.”
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Ayesha Rauf Financial Analyst Trainee
“The instructors went above and beyond to ensure we understood concepts. I feel fully prepared for the next step in my career.”
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Daniel Joseph Associate in Marketing
“The resources and mentorship I received made this journey smooth. A brilliant learning experience!”
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Fatima Noor Ph.D. Candidate in Management
“The balance of theory and practical application was perfect. This course truly added value to my professional skillset.”
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Omar Shah Certificate in Data Analytics
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Course
Information

Copyright © 2025 Crestwood University of Ohio (CUO)

Networks and Telecommunications

Topics Covered in This Course:
  In Section 1 of this course you will cover these topics:
    An introduction to networking
    Network standards
  In Section 2 of this course you will cover these topics:
    Physical layer propagation: utp and optical fiber
    Ethernet lans
  In Section 3 of this exam you will be evaluated on below listed topics:
    Wireless lans -wlans-
    Telecommunications
  In Section 4 of this course you will cover these topics:
    Wide area networks -wans-
    Tcp/ip internetworking
  In Section 5 of this course you will cover these topics:
    Security
    Network management
    Networked applications

Information technology

Topics Covered in This Course:
  In Section 1 of this course you will cover these topics:
    Managing it in an e-world.
    Computer systems.
  In Section 2 of this course you will cover these topics:
    Computer software.
    Telecommunications and networking.
  In Section 3 of this exam you will be evaluated on below listed topics:
    The data resource.
    Enterprise systems.
    Managerial support systems.
  In Section 4 of this course you will cover these topics:
    E-commerce applications.
    Basic information systems concepts.
    Methodologies for custom software development.
    Methodologies for purchased software packages.
  In Section 5 of this course you will cover these topics:
    It project management.
    Facilitating user computing.
    Setting a direction for information resources.
    Managing the information systems function.
    Social, ethical, and legal issues.

Computer science

Topics Covered in This Course:
  In Section 1 of this course you will cover these topics:
    Terms of endearment: defining information technology
    What the digerati know: exploring the human and ndash;computer interface
    Making the connection: the basics of networking
    Marking up with html: a hypertext markup language primer
  In Section 2 of this course you will cover these topics:
    Searching for truth: locating information on the www
    Searching for guinea pig b: case study in online research
    To err is human: an introduction to debugging
    Bits and the -why- of bytes: representing information digitally
  In Section 3 of this exam you will be evaluated on below listed topics:
    Following instructions: principles of computer operation
    What and #39;s the plan? algorithmic thinking
    Light, sound, magic: representing multimedia digitally
    Computers in polite society: social implications of it
  In Section 4 of this course you will cover these topics:
    Shhh, it and #39;s a secret: privacy and digital security
    Fill-in-the-blank computing: basics of spreadsheets
    And lsquo;what if and rsquo; thinking helps: advanced spreadsheets for planning
    A table with a view: database queries
  In Section 5 of this course you will cover these topics:
    Idiary: a case study in database design
    Get with the program: fundamental concepts expressed in javascript
    The bean counter: a javascript program
    Thinking big: programming functions

Computing Concepts

Topics Covered in This Course:
  In Section 1 of this course you will cover these topics:
    Why computers matter to you: becoming computer fluent
    Looking at computers: understanding the parts
  In Section 2 of this course you will cover these topics:
    Using the internet: making the most of the web and rsquo;s resources
    Application software: programs that let you work and play.
  In Section 3 of this exam you will be evaluated on below listed topics:
    Using system software: the operating system, utility programs, and file management
    Evaluating your system: understanding and assessing hardware
  In Section 4 of this course you will cover these topics:
    Networking and security: connecting computers and keeping them safe from hackers and viruses
    Mobile computing: keeping your data on hand
  In Section 5 of this course you will cover these topics:
    Behind the scenes: inside the system unit
    Behind the scenes: software programming
    Behind the scenes: databases and information systems
    Behind the scenes: networking and security
    Behind the scenes: the internet: how it works

IT project Management

Topics Covered in This Course:
  In Section 1 of this course you will cover these topics:
    Introduction.
  In Section 2 of this course you will cover these topics:
    Fundamentals.
  In Section 3 of this exam you will be evaluated on below listed topics:
    Idea stage.
  In Section 4 of this course you will cover these topics:
    The pre-launch stage.
  In Section 5 of this course you will cover these topics:
    Launch stage: planning.
    Launch stage: developing detailed estimates.
    Executive stage: schedule, track, and control the project.
    Implement stage.
    Operation stage.
    Project portfolio management.

Advanced Artificial Intelligence Concepts

Topics Covered in This Course:
  In Section 1 Advanced Neural Networks of this course you will cover these topics:
  • Complex Neural Network Architectures
  • Optimizing Deep Learning Models
  • Transfer Learning and Pre-trained Models
  In Section 2 Cutting-Edge AI Algorithms of this course you will cover these topics:
  • Advanced Algorithm Development
  • Implementing Novel Algorithms
  • Performance Optimization Techniques
  In Section 3 Innovative AI Applications of this course you will cover these topics:
  • Emerging Trends in AI
  • Innovative AI Solutions
  • Future Directions in AI
  In Section 4 Ethical and Fair AI of this course you will cover these topics:
  • Addressing Bias and Fairness
  • Ensuring Transparency and Accountability
  • Ethical Considerations in Advanced Models
  In Section 5 Leadership in AI of this course you will cover these topics:
  • Leading AI Teams
  • Strategic Decision Making
  • Professional Development for Leaders

Artificial Intelligence Innovations

Topics Covered in This Course:
  In Section 1 Emerging Trends in AI of this course you will cover these topics:
  • Latest Research Findings
  • Technological Advances
  • Future Directions in AI
  In Section 2 Innovations in AI Algorithms of this course you will cover these topics:
  • Novel AI Techniques
  • Advanced AI Applications
  • Predictive Analytics in AI
  In Section 3 Innovative AI Solutions of this course you will cover these topics:
  • Smart Technology in AI
  • Innovations in AI Software
  • Using Technology for Problem Solving
  In Section 4 Sustainable AI Practices of this course you will cover these topics:
  • Environmental Sustainability
  • Green Technologies
  • Sustainable AI Operations
  In Section 5 Case Studies in Innovation of this course you will cover these topics:
  • Real-World Applications of Innovations
  • Success Stories
  • Lessons Learned

Artificial Intelligence Leadership

Topics Covered in This Course:
  In Section 1 Leadership Theory and Practice of this course you will cover these topics:
  • Understanding Leadership Styles
  • Developing Leadership Skills
  • Applying Leadership Theories
  In Section 2 Team Dynamics and Management of this course you will cover these topics:
  • Building Effective Teams
  • Managing Team Performance
  • Conflict Resolution
  In Section 3 Strategic Planning in AI of this course you will cover these topics:
  • Developing Strategic Plans
  • Implementing Strategic Initiatives
  • Evaluating Outcomes
  In Section 4 Ethics and Professionalism of this course you will cover these topics:
  • Ethical Leadership Practices
  • Professional Standards and Conduct
  • Leading with Integrity
  In Section 5 Personal Development for Leaders of this course you will cover these topics:
  • Self-Assessment and Improvement
  • Building a Leadership Career
  • Networking and Professional Growth

Artificial Intelligence Research Methods

Topics Covered in This Course:
  In Section 1 Research Methodology in AI of this course you will cover these topics:
  • Designing Research Studies
  • Quantitative and Qualitative Methods
  • Ethical Considerations in Research
  In Section 2 Data Collection and Analysis of this course you will cover these topics:
  • Collecting Reliable AI Data
  • Statistical Analysis Techniques
  • Using Software for Data Analysis
  In Section 3 Conducting Field Research of this course you will cover these topics:
  • Practical Field Research Techniques
  • Managing Research Projects
  • Case Studies in AI Research
  In Section 4 Applying Research Findings of this course you will cover these topics:
  • Translating Research into Practice
  • Developing Evidence-Based Practices
  • Impact of Research on AI Solutions
  In Section 5 Publishing and Presenting Research of this course you will cover these topics:
  • Writing Research Papers
  • Presenting Findings at Conferences
  • Building a Research Portfolio

Professional Practice in Artificial Intelligence

Topics Covered in This Course:
  In Section 1 Industry Standards and Practices of this course you will cover these topics:
  • Understanding Industry Standards
  • Best Practices in
  • Regulatory Compliance
  In Section 2 Building a Professional Career of this course you will cover these topics:
  • Career Opportunities in AI
  • Developing Professional Skills
  • Networking and Professional Development
  In Section 3 Client Relations and Communication of this course you will cover these topics:
  • Building Client Relationships
  • Effective Communication Strategies
  • Managing Client Expectations
  In Section 4 Business Management Skills of this course you will cover these topics:
  • Running an AI Business
  • Financial Management
  • Marketing and Promotion
  In Section 5 Continuing Education and Growth of this course you will cover these topics:
  • Importance of Lifelong Learning
  • Pursuing Advanced Certifications
  • Staying Current with Industry Trends