Compare online master’s in artificial intelligence (AI) programs

Master’s in artificial intelligence requirements for admission

Although each program will have their own admission requirements, a or a related field such as engineering, mathematics, physics, is usually recommended when applying for a master’s in artificial intelligence. Ideal candidates will have proficiency in programming languages such as Python, Java, C++, or R. In addition, any candidates who have previous experience with key AI skills such as data analysis, machine learning, AI models, or AI libraries to name a few, could be well positioned for admission. Be sure to check the program you are interested in for exact admission requirements.

How to apply

Once you’ve decided to earn your master’s in artificial intelligence, so an admissions advisor can get in touch with you. You will connect with your advisor to discuss the program, admissions requirements, and your unique goals for a career in AI before beginning your application.

Curriculum

An online master’s in artificial intelligence curriculum should equip learners with a strong understanding of AI concepts, algorithms, and applications. As an online master’s in artificial intelligence learner, you will take a variety of courses that cover both foundational topics in programming as well as emerging trends in AI such as natural language processing. Here are three featured topics that will help you :

Programming for AI —Utilize a number of programming languages including Python, C++, and Java. You’ll also dive deeper into Python by exploring topics such as fundamental Python syntax, Python coding logic and reasoning, as well as Python script and dictionary creation.

Machine learning — Learn to develop and train machines to perform a wide range of tasks as well as evaluate and adapt to newly collected data. Key machine learning skills include evaluating model performance, navigating imbalanced data, exploring limitations of traditional models, and more.

AI ethics— Consider ethical implications and potential biases in AI models as well as explore the measures that can be taken to promote fair and responsible use of AI. These emerging topics include legal and ethical AI considerations, data reproducibility, algorithmic bias, data privacy regulations, and more.

Master’s in AI jobs and Salary

Artificial intelligence is becoming more and more integrated across a range of industries which means that careers in AI, along with salary information, are constantly evolving. Career paths for those with an AI education are less specific compared to other technical fields, thus offering AI professionals more flexibility in choosing a path that best suits their needs. Some of the jobs in AI and related fields that you could pursue after earning your include:

• AI engineer — Develop programs and predictive models that improve how machines process information, perform tasks, and recognize patterns to solve problems.

• AI developer — Design, develop, and implement artificial intelligence programs to perform duties and make predictions based on data.

• Data scientist — Use machine learning to collect and interpret large quantities of data, gain valuable insights, and empower key decision makers. According to the Bureau of Labor Statistics, the median annual wage for data scientists was $100,910 in 2021.type: embedded-entry-inline id: 2qLsooumGJK1FVDCGv8JbS

• Computer and information research scientists — Create and improve computer software and hardware as well as use data science and machine learning techniques to solve complex algorithms. According to the Bureau of Labor Statistics, The median annual wage for computer and information research scientists was $131,490 in 2021.type: embedded-entry-inline id: 6MWmaFmpzrWPoMAotnciUQ

• AI consultant — Provide assistance to organizations who are looking to apply AI strategies to increase efficiency, reduce costs, and streamline repetitive tasks.

• AI research scientist — Research the latest trends and strategies that can help improve artificial intelligence systems across a variety of business applications in finance, healthcare, technology, and energy to name a few.

Looking to add in-demand tech skills to your résumé but a master’s in AI may not be the right fit for you? Explore that take up to 24 weeks to complete on a part-time schedule, or that take 8-10 weeks to complete. In addition to , you may also be able to earn an that lends more credibility to your résumé and signals to potential employers that you are committed to implementing the latest in AI technology in your work. Or if you want to develop your programming skills you can explore available .

How to apply an AI degree

With the skills gained in your master’s in artificial intelligence, you will be equipped to leverage AI-powered solutions to meet the needs of your organization. That could mean developing a chatbot to improve customer support for your organization or using natural language processing to better detect errors in employee reports.

You could also leverage AI to streamline the recruiting process to screen applications, match candidates to job descriptions, and find suitable résumés. From a marketing perspective AI and algorithms could be utilized to analyze customer preferences, track marketing campaign engagement, and deliver personalized ads that resonate best with specific consumers. The way you maximize your AI skills is up to you.

How to choose the best AI graduate program for you

As you explore earning your master’s in artificial intelligence online, it’s important to think about the ways AI skills can enhance career goals. From specializations and concentrations in emerging AI topics to alumni networks and connections in the industries that interest you, there are a number of factors to come into play when finding a program that fits your needs. today and find a program that speaks to you.

Distinguish yourself from the competition by adding AI expertise to your résumé. Register for edX today and find the master’s in artificial intelligence program that’s right for you.