A machine learning engineer uses knowledge of both data science and software engineering to develop computer models and devices that automatically perform tasks. They also may use concepts related to artificial intelligence. Ongoing dependence and advancements in computer science and technology are creating a strong job market for machine learning engineers. Fairfax University of America in Virginia offers relevant computer science degree programs in our School of Computer Information Systems.
According to the U.S. Bureau of Labor Statistics (BLS), most professionals in the field of computer science and information research hold bachelor’s or master’s degrees. The field of machine learning requires a deep familiarity with web development, as well as mathematics and statistics. The following skills and proficiency areas are required for these types of engineers:
Computer science degree programs are offered at Fairfax University of America to help prepare students and graduates for careers in machine learning. These include:
The Bachelor of Science in Computer Science degree program includes a specialized unit on artificial intelligence and machine learning, as well as data science. A variety of required and elective computer science courses are offered in the curriculum. This business-focused undergraduate degree program prepares students to start training networked computer machines to analyze data, recognize patterns, and perform automatic functions.
The Master of Science in Artificial Intelligence and Machine Learning degree program builds on the skills gained in undergraduate degree programs. It’s also open to applications from students who have not yet earned a bachelor’s degree. This allows students who come to the field from various educational and experiential backgrounds to earn a master’s degree in this concentration. Students who take this route may be required to complete program prerequisites, such as:
Alongside these programs, Fairfax University of America provides students with opportunities to earn certification badges in computer science from the Office of Micro-Credentials. Offerings relevant to machine learning include:
Machine learning engineers may work with data science teams or other information specialists to determine what tasks to earmark for computerized machine learning systems. Their skills are required in many different sectors, such as:
Some machine learning engineers may even serve as freelancers within an industry. Many professionals also develop the suggestions provided by social media applications or search engines, such as product recommendations. They also often help develop voice command-operated applications and contribute their expertise to language translation projects.
To create self-running software programs and robotics designs, machine learning engineers develop new computer languages and software systems. They also experiment with emergent computer network systems to test their functionality. If they work in manufacturing or some areas of research, machine learning engineers may help build and program robots, and then test their abilities. In healthcare, these vital computer science professionals help develop software that analyzes public health data, determining patterns and making predictions that evaluate healthcare distribution and effectiveness.
Transform your current interest in computer technology into a rewarding career. At Fairfax University of America in Virginia, students find a learning environment with small class sizes and engaged students. Our computer science degree programs and micro-credentialing opportunities are affordable in tuition and cost. Additionally, we offer financial aid resources and scholarships to those who qualify.
Graduates of computer science degree programs who focus on artificial intelligence, robotics, and data science are in demand for their skills and knowledge. To study to become a machine learning engineer at Fairfax University of America, request information or submit an application online today.