Online Master's in Artificial Intelligence (AI) and Machine Learning

Artificial intelligence and machine learning are processes or technologies that help machines become intelligent, making them more useful to the humans who rely on them for help solving complicated problems.

AI itself broadly refers to the process of developing technology capable of mimicking human cognitive abilities, allowing a machine to “think,” and solve problems in creative ways.

Machine learning could be considered a subset of artificial intelligence-related skills, solutions, or techniques, as it refers to the process of training a machine to learn more quickly, or more intelligently.

The promise of AI and machine learning is that these technologies offer significant benefits for rapidly improving solutions for a whole host of challenges, from logistics to planning to operations and production.

Virtually every sector of the economy is predicted to be impacted by rapid developments in AI and machine learning, which is why so many experts are so excited about the promise of improving and applying these cutting-edge technologies to complex organizational issues.

If you want to lead the next generation of computing by helping develop and utilize cutting-edge technology, then you should consider studying artificial intelligence and machine learning.

AI and machine learning have a tremendous potential to disrupt the tech industry and society as a whole, and our Master’s Degree in Artificial Intelligence and Machine Learning was designed to provide you with foundational knowledge in the field so that you can harness them to launch a fulfilling career.

Studying AI will set you up for success by preparing you to assume important AI-related roles and capitalize on an industry that the Bureau of Labor Statistics projects will be expanding at a rate much faster than the average for all occupations over the next decade, making AI and machine learning positions an excellent opportunity for long-term career growth.

If you want to use advanced and innovative technological solutions to solve complex business problems, and you’re interested in AI or machine learning, then this program may be the perfect way to get your foot in the door in the industry and secure a job working in a field that you’re passionate about.

AI and machine learning have a whole host of applications. Artificial intelligence and machine learning professionals handle a series of complicated technical tasks, with daily tasks that vary by role, but some typical responsibilities include:

• Establishing and achieving objectives using techniques associated with AI reasoning and uncertainty.
• Applying logic, probability analysis, and machine learning concepts to problem-solving initiatives.
• Analyzing systems to effectively monitor and control development projects.
• Using best practices in regard to applications in speech recognition, data processing, data mining, and robotic control.

Just like any other industry or position, the easiest way to get a job working in Artificial Intelligence or Machine Learning is to develop the skills, abilities, and credentials needed to get hired for a related role.

While it certainly is possible to develop AI and machine learning skills on your own, outside of academia, earning your master’s degree in the field sends a strong signal that you’ve developed the necessary educational background, skills, and abilities needed to succeed in this challenging field.

For the typical person, the simplest and fastest way to develop the skills, abilities, and experience required to get a job in the field is likely to complete a degree in AI or machine learning.

CSU Global’s online Master of Science in Artificial Intelligence and Machine Learning will introduce you to industry best practices and train you to apply optimal system analysis and design so that you can bring value to an organization from day one.

Completing your master’s in AI and Machine Learning will help you prepare to take on the daily duties and responsibilities required of industry experts, including:

• Analyzing and associating AI principles into reasoning and uncertainty in a perspective environment.
• Applying techniques for image analysis and reconstruction.
• Implementing holistic AI and machine learning solutions for a given problem or scenario.
• Developing AI-driven solutions that are capable of modeling human behavior.
• Creating solutions that combine artificial intelligence and machine learning principles.
• Evaluating the performance of applications in artificial intelligence and machine learning domains.

By providing you with direct experience utilizing the latest deep-learning libraries, such as Tensorflow, and focusing on developing your proficiency in Python, CSU Global’s online M.S. in AI and Machine Learning program is an excellent way to develop your skills, abilities, and awareness of industry best practices.

Our program also helps set you up for success by giving you direct, real-world experience with industry-specific challenges, including training you to apply various AI and machine learning technologies to a variety of industries, including healthcare, manufacturing, oil and gas, and automotive.

CSU Global’s online Master of Science in Artificial Intelligence and Machine Learning provides the knowledge and skills needed to pursue or advance in technical roles such as AI engineer, AI scientist, machine learning engineer, machine learning scientist, software developer, computational scientist, machine learning data developer, AI interaction designer, and related positions.

By completing our program you’ll set yourself up for success in the industry and open doors for career advancement, including for some of the top AI and Machine learning job titles, like:

• AI Engineer/Scientist / 2018 Median Pay: $99,998
• Software Developer / 2020 Median Pay: $110,140
• Computer and Information Research Scientists / 2020 Median Pay: $126,830

Yes! While it may take hard work and dedication to complete your master’s degree in Artificial Intelligence and Machine Learning, this is a great industry to launch a career in.

The U.S. Bureau of Labor Statistics projects strong demand for related technology roles over the next decade, including 15% growth for software developers, quality assurance analysts, and testers and 20% growth for computer and information research scientists from 2024 to 2034.

CSU Global’s 100% online program was designed to provide you with the foundational knowledge, skills, abilities, and industry experience needed to secure employment in the field.

AI and machine learning have an interesting relationship, with both fields seeking to create machines capable of solving complex problems, but differing in their goal, scope, and application.

First of all, AI systems have loftier goals, a much wider scope, and the ability to be applied to multiple different tasks, whereas machine learning systems have a specific goal, a narrow scope, and are commonly used for a single application.

The goal of AI is to create an artificial intelligence system capable of simulating human intelligence, meaning a system that can solve a wide variety of different types of problems.

In contrast, the goal of machine learning is to help an AI system learn faster, so it can complete its work quicker, and at a higher degree of accuracy. Machine learning can therefore be thought of as an optimization process or training technology used to make AI systems even more powerful.

AI’s scope is far broader than machine learning’s since AI systems are designed to handle a multitude of tasks, whereas machine learning programs are typically dedicated to perfecting a single task.

And in terms of application, AI systems may be used to control a whole series of different processes requiring many different algorithms and forms of intelligence all operating in unison, whereas the typical machine learning program is likely tasked with only a single process.

In short, AI has loftier goals, a broader scope, and far wider running applications than machine learning, but both fields are incredibly important to the modern economy.

AI works by combining large sets of data with intelligent, interactive processing algorithms that allow the system to learn from patterns and features in the data.

In this way, AI gets smarter each time the algorithm is run, since processing new data allows the system to “learn,” making it smarter than it was before being exposed to additional data.

AI systems use a variety of complex technical disciplines, in coordination with next-generation technology to accomplish its objective of mimicking human-like intelligence.

Machine learning is also complex, but far less complicated than AI, since machine learning is just one of the many applications of AI systems that focuses on a specific process: helping machines learn from experience.

The way that machine learning works is by forcing a system to run its task over and over again, allowing it access to larger data sets so it can identify new patterns in the data, all without being explicitly programmed to become “smarter.”

The more data a machine learning algorithm computes, the more the system learns and the faster and more accurate its predictions can become.

AI and machine learning technology are being applied across the entire modern economy, with each field playing important roles in some of the most important business sectors, including:

• Transportation – Machine learning technology is being used by companies like Google and Tesla to develop autonomous, self-driving vehicles.
• Manufacturing – AI solutions and machine learning systems are used in manufacturing to forecast load and demand for factories, improving efficiency and profits.
• Finance – AI and machine learning systems are utilized by banks and financial institutions to detect and prevent fraudulent transactions.
• Retail – AI and machine learning solutions are used to help design more effective store layouts, oversee retail stock management, and provide shopping recommendations.
• Healthcare – AI and machine learning technology are being used to provide personalized medicine, and to help doctors detect the presence of certain diseases.

New applications for both AI and machine learning solutions are being discovered every day as the field continues to grow, and the demand for professional AI engineers and machine learning specialists is likely to continue growing over the next decade.

AI and machine learning are complex disciplines requiring a great deal of technical aptitude and background knowledge about math, probability, and statistics, but they’re not necessarily harder to learn than any other STEM field.

While it may be difficult to teach yourself modern AI or machine learning best practices, enrolling in an accredited, respected degree program like CSU Global’s online M.S. in AI and Machine Learning is an excellent way to develop your skills, knowledge, and abilities in these complex disciplines so you can launch a lifelong career in the field.

If you’re serious about breaking into this growing, exciting, but competitive industry, then you should certainly consider studying AI and machine learning with us.