Artificial intelligence (AI) and machine learning specialists have never been so in demand. As more and more industries rely on AI-based technology to reach customers and provide services, the need for professionals who hold a master’s degree in Artificial Intelligence will increase. In fact, between 2015 and 2019, the AI Industry grew 270%. According to the Bureau of Labor Statistics, this trend will continue over the next ten years, with employment predicted to grow by 22%, much faster than the national average for other careers.
While this job growth is notable, you may find yourself wondering what the master’s in Artificial Intelligence salary potential is. After all, job stability is a wonderful thing to have, but having a high earning potential can be just as important. Here are just a few careers that a master’s in Artificial Intelligence can prepare you for. As you’ll see, jobs in this field are well paid and ever-growing in demand.
Data Science Specialist
Data science specialists, or data scientists, use statistical computing and programming languages to analyze, process, and model data. After interpreting the results, they create plans of action for the companies or organizations that they work for.
Entry-level data scientists can earn an average of $85,004 annually. Over the course of their career, they can expect this salary to increase with years of experience. A late-career data scientist may expect to earn an average of $134,110 annually.
Machine Learning Engineer
Machine learning engineers work as parts of larger data science teams made up of data scientists, data analysts, data architects, and administrators. Their role is to create and design AI algorithms that are capable of analyzing data in order to learn and predict outcomes of specific situations. In other words, they build and design self-automated predictive models.
Entry-level machine learning engineers earn an average of $93,412 annually. A late-career machine learning engineer can earn an average annual salary of $148,869, depending on years of experience, location, and employer.
Software engineers work with designers to develop and enhance the ways in which software functions. They may also work with programmers and coders to develop their software. They work with their clients or employers to design, develop, and test a system or application according to their needs and specifications. Software engineers will be expected to know programming languages such as C++, Java, Python, C#.Net, and Ruby. As they grow in experience and expertise, software engineers may be promoted to the role of “senior software engineer.” In this position, they will be expected to guide and review the work of junior engineers, in addition to their work writing and modifying software. This title also comes with an increase in annual salary.
The salary range for software engineers varies widely based on education level, years of experience, areas of expertise, and of course, employer. However, the average base salary for a software engineer is $87,824 per year. Late-career engineers earn an average of $115,716 annually.
Robotics engineers design and maintain robots, their software, and their electronic systems. Some robotics engineers specialize in the mechanical manufacturing of robots, while others may focus on developing automated systems. Robotics engineers may work individually or as members of a team. They may also conduct research to aid in the design of efficient and reliable robotics systems. It should be noted that some employers may require their robotics engineers to pursue further study, up to a doctorate, in order to grow in their careers.
Entry-level robotics engineers can expect to earn an average salary of $77,427 per year. A mid-career robotics engineer can earn an average salary of $96,191 annually with a master’s in AI in hand. Late-career robotics engineers can expect to earn an average salary of $100,555. Robotics engineers can expect, however, to earn more should they be promoted to titles such as “Senior Robotics Engineer” over the course of their career. As with all positions in the artificial intelligence field, salary can depend on location, employer, and skill level.
Artificial Intelligence experts have been responsible for some of the last decade’s most impressive advancements in technology. From self-driving cars to digital assistants, the technological landscape has been molded and shaped by those who work in artificial intelligence and machine learning. With a master’s degree in Artificial Intelligence, you can be part of the next generation of innovators, expanding the capabilities of mankind by inventing creative solutions to life’s problems. Take the first step in your journey by earning your degree at University of Bridgeport.
Are you ready to launch a career in Artificial Intelligence? Request more information about University of Bridgeport’s master’s in artificial intelligence program!