Artificial Intelligence Online Master's

Program type:

Major

Format:

Online

Est. time to complete:

2-3 years

Credit Hours:

Advance Your Career with AI: 100% Online Master's Program

Master the fundamentals and advanced applications of artificial intelligence with our fully online AI Master’s Program. Open to learners from all backgrounds, this program offers cutting-edge coursework, hands-on projects, and expert faculty guidance. Develop the expertise to solve complex problems and drive advancements in AI.

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Why earn an Artificial Intelligence Online Master's?

Advance your expertise in one of the most transformative fields of the 21st century with our AI Master’s Program. This fully online program provides a flexible and rigorous curriculum that equips you with the knowledge and skills needed to excel in AI-driven industries.

With courses covering machine learning, deep learning, natural language processing, and more, you’ll gain hands-on experience solving real-world problems. Whether you’re looking to enhance your current career, switch fields, or contribute to cutting-edge AI research, this program prepares you for success in an evolving digital world.

Marketable Skills

Graduates of this program can expect to develop the following marketable skills:

Develop and implement AI-driven code solutions
Design, gather, and analyze data effectively
Apply creative problem-solving techniques
Adapt quickly to new concepts and technologies
Work collaboratively and communicate effectively in team environments

Artificial Intelligence Online Master's Highlights

Expert Faculty: Learn from experienced AI researchers and industry professionals.

Flexible Online Format: Complete coursework from anywhere with a schedule that fits your life.

Cutting-Edge Curriculum: Gain expertise in machine learning, deep learning, NLP, and more.

Hands-On Learning: Work on real-world AI projects to build practical skills.

Recognized Excellence: Earn a degree from a highly ranked institution with a strong reputation in AI.

Career Support: Access networking opportunities, career resources, and industry connections.

Career Outlook

AI professionals are in high demand, with job opportunities in roles like data scientist, machine learning engineer, and AI researcher across many industries. This program prepares you with the skills to solve real-world problems and contribute to innovation in areas like technology, healthcare, and finance.

With growing interest in AI, graduates can expect strong career opportunities and competitive salaries as companies look for experts to help them use AI to improve their operations.

Artificial Intelligence Online Master's Courses You Could Take

New paradigms for developing software are needed to create and manage systems with AI capabilities, particularly for practitioners without extensive programming experience. Students in this course will be taught how to leverage available artificial intelligence APIs flexibly and reliably through a series of demo-driven tasks. Additionally, as data management is integral to AI system development, an emphasis will be made to collect and process data for AI system training and testing.

Learn the fundamentals of information retrieval (IR) and the techniques behind popular search engines like Google. Explore IR models, indexing methods, and web search technologies such as PageRank and query languages. Gain hands-on experience through programming projects to build your own IR system and master tools for accessing and organizing online information.

Explore the theory and practice of machine learning, covering statistical learning, rule-based methods, reinforcement learning, and advanced techniques like bagging, boosting, and ensemble learning. Dive into genetic algorithms and neural networks while learning how to apply these algorithms to real-world problems. Gain practical experience with machine learning tools and techniques to solve complex tasks.

Get a hands-on introduction to deep learning, focusing on training multilayer models using GPU-accelerated hardware. Learn about feedforward networks, convolutional neural networks, and recurrent networks, and explore their applications in reinforcement learning. Using tools like PyTorch, TensorFlow, and Keras, work with real datasets to create systems that make inferences from diverse raw data such as speech, video, and sensor signals.

Gain a comprehensive introduction to Big Data and Data Science, covering key concepts, technical challenges, and practical applications. Learn about structured and unstructured data processing, data analytics, visualization, and the ethical considerations surrounding data. Explore the impact of Big Data on the field, along with the latest analytics tools and architectures used to handle large-scale data challenges.

Explore the fundamentals of feature engineering with a focus on applied signal processing for images, video, audio, and sensor signals. Learn about visual and auditory processing models, including signal transduction, edge detection, and segmentation. Study spectral representations like Fourier and wavelet decompositions to make inferences from complex signals, and develop the intuition to handle a wide range of multidimensional sensor data.

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