From self-driving cars to robotics engineering, machine learning is becoming a top career in tech. According to a Forbes Magazine report, the worldwide corporate investment in artificial intelligence is projected to exceed $200 billion by 2023, signaling the continuous growth and adoption of AI and machine learning. The best master’s degrees in machine learning prepare students with a strong background to be qualified for successful careers in machine learning.
A master’s degree in machine learning gives you an edge in the labor market, as it is the preferred requirement for many jobs in the tech industry. In this article, we will discuss the best master’s degree programs, costs, and core credit requirements to make your school search easier. We’ll also look at machine learning master’s degree jobs and salaries in the field.
Where Can I Get a Master’s Degree in Machine Learning?
Some of the best colleges where you can get a master’s degree in machine learning include Carnegie Mellon University, Stanford University, Cornell University, University of California at San Diego, Massachusetts Institute of Technology, and Stevens Institute of Technology.
What Schools Offer the Best Machine Learning Master’s Degrees?
- Drexel University
- Stanford University
- University of Texas at San Antonio
- Oregon State University
- Massachusetts Institute of Technology
What Are the Admission Requirements for a Master’s Degree in Machine Learning?
The admission requirements for a master’s degree in machine learning include a bachelor’s degree from an accredited college or university, standardized tests like the GRE or TOEFL for international students, and a minimum GPA of 3.0. Many schools also require an application fee.
Other common requirements for a master’s in machine learning include official transcripts, letters of recommendation, personal statements, and other academic credentials. Some schools may require students to have a solid background in computer science and mathematics.
Machine Learning Master’s Degree Admission Requirements
- Bachelor’s degree
- Standardized tests like GRE and TOEFL (international students)
- Application fee
- Official transcripts
- Personal statement
How to Get a Master’s Degree in Machine Learning
To get a master’s degree in machine learning, students must fulfill all of the program’s graduation requirements. Many programs require a certain amount of core credits and elective credits, as well as other requirements, such as a senior thesis or capstone project. You will likely need a comprehensive understanding of machine learning and AI tools and technology before enrolling.
How Many Credits Do You Need for a Master’s Degree in Machine Learning?
You’ll typically need 30 to 64 credits for a master’s in machine learning. Some schools’ credit requirements may go as high as 96. The curriculum typically includes foundational courses, core courses, and elective courses that explore topics of theory, systems, software, and applications. Students may also need to submit a capstone project or thesis before graduation.
Machine Learning Degree Requirements
- Complete 30 to 64 credit hours, depending on the school
- Complete a certain amount of credits for core courses and elective credits per the school’s curriculum
- Cumulative GPA of at least 3.0
- Complete all financial obligations to the school
- Master’s project or thesis, depending on the school
Best Machine Learning Master’s Degree Programs and Schools: Overview
| School | Program | Accreditation |
|---|---|---|
| Boston University | Master of Science in Artificial Intelligence | New England Commission of Higher Education |
| Carnegie Mellon University | Master of Science in Machine Learning | Middle States Commission on Higher Education |
| Cornell University | Master of Science in Computer Science with Specialization in Machine Learning | Middle States Commission on Higher Education |
| Drexel University | Master’s in Machine Learning and Artificial Intelligence | Middle States Commission on Higher Education |
| Georgia Institute of Technology | Master of Science in Computer Science With Specialization in Machine Learning | Southern Association of Colleges and Schools, Commission on Colleges |
| Oregon State University | Master of Science in Artificial Intelligence | Northwest Commission on Colleges and Universities |
| Massachusetts Institute of Technology | Master of Science in EECS with Specialization in Machine Learning | New England Commission of Higher Education |
| Stanford University | MSCS in Artificial Intelligence | WASC Senior College and University Commission |
| Stevens Institute of Technology | Master of Science Machine Learning | Middle States Commission on Higher Education |
| University of Texas at San Antonio | Master of Science in Artificial Intelligence | Southern Association of Colleges and Schools, Commission on Colleges |
Best Schools for Machine Learning: Top Machine Learning Master’s Degree Programs
Attending one of the best schools for a master’s degree in machine learning is the dream of every tech professional. Continue reading below for all you need to know about the top machine learning master’s programs in the United States, including costs, credit requirements, and steps to apply.
What Is a Machine Learning Master’s Degree?
A machine learning master’s degree is a graduate degree program that provides students with advanced knowledge of computer science, with a focus on machine learning. Machine learning is the study of computer algorithms to build technology, robotics, and software that can operate without human intervention.
A master’s degree in machine learning equips students with the necessary computer programming theories and essential skills in machine learning to become professionals in the field. Common topics explored in a machine learning curriculum include artificial intelligence, web development, programming, data science, and network security.
How Important Is a Master’s Degree in Machine Learning?
A master’s degree in machine learning is very important. According to the US Bureau of Labor Statistics, the field will grow by 22 percent by 2030, and professionals earn a high average salary of $126,830 per year.
One of the main reasons why a machine learning master’s degree is important is that it will further qualify you for exciting job positions and will open several job opportunities, including machine learning engineering, algorithm engineering, computer network architecture, and software development and engineering.
What Types of Master’s Degree Can You Get in Machine Learning?
You can get the following types of master’s degrees for machine learning:
- Master of Science
- Master of Research
- Master of Arts
The most common type of master’s degree for machine learning is a Master of Science. Most of the top machine learning programs offer this degree and it will set you up for advanced career progression.
Is It Better to Get a Master of Arts or a Master of Science in Machine Learning?
It is better to get a Master of Science in Machine learning because of the technical nature of this field. You need several narrow skillsets to be a machine learning engineer, including complexity theory, database management, and computer program skills, which you would learn in elective courses.
What Is the Difference Between a Machine Learning Master’s Degree and a Machine Learning Certificate?
The difference between a machine learning master’s degree and a machine learning certificate is that a machine learning certificate is an educational qualification, whereas a machine learning master’s degree is an educational title that qualifies you to practice machine learning.
Master’s degrees are usually more expensive and take more time (one to two years), while graduate certificates are usually less expensive and short-term (less than a year). Master’s degrees teach academic knowledge, while graduate certificates focus more on practical skills. If you are deciding between a machine learning certificate vs master’s degree, consider whether your dream career requires an advanced degree.
How Much Does It Cost to Get a Master’s Degree in Machine Learning?
A machine learning master’s degree costs an average of $19,314, according to the National Center for Education Statistics. For private institutions, NCES estimates the total cost of $25,929. The cost of getting a master’s degree in machine learning may vary depending on the school. Private universities are generally more expensive than public institutions.
How Long Does It Take to Get a Machine Learning Master’s Degree?
It takes one to two years on average to get a machine learning master’s degree. However, your exact master’s in machine learning length can vary due to several factors. For instance, it would take a student about two years to complete a master’s degree on a full-time schedule, while it may take over six years for a part-time student to complete the same requirements.
The number of required credits can also affect the time it takes to complete a program. Most master’s degree programs range from 30 to 64 required credits. It is important to research the required credits for your program on the school’s website or degree program catalog.
How Hard Is It to Get a Master’s Degree in Machine Learning?
It can be very hard to get a master’s degree in machine learning. Getting a machine learning master’s degree is hard because it is a technical field involving computer science, technology skills, and mathematical analysis. However, there are abundant resources and experienced professors in accredited universities to help simplify the process and guide you along the way.
Why Should You Get a Machine Learning Master’s Degree?
You should get a machine learning master’s degree because it will train you with the essential skills needed for an in-demand career, with several career opportunities in a range of industries that use machine learning technology. These include marketing, software development, finance, healthcare, and manufacturing industries.
One of the major benefits of getting a master’s degree in machine learning is that you will learn different advanced skills ranging from statistics to data modeling, software engineering, and computer science.
What Courses Do You Need to Take in a Master’s Degree Program in Machine Learning?
Some master’s in machine learning courses you’ll need to take in your advanced program vary by university, but common degree core classes include programming, operating systems, computation, and data science courses. You will also see various electives on your master’s in machine learning course list.
Theory of Computation
This course entails the use of algorithms and computation models to carry out problem-solving tasks and build intelligent systems. Students will learn the different theories involved in this process, such as automata theory, computability theory, and computational complexity theory.
Operating Systems
Students will learn the different types and ranges of operating systems and their uses to administer computer software and hardware programs. They will learn the application of the most commonly used types of operating systems including Linux, macOS, and Microsoft Windows.
Network Security
Network security includes all the processes professionals apply to ensure the protection of computer networks from loss, theft, hacks, and other forms of cyber threats. Graduate students will learn the different techniques of network security to ensure programming equipment functions properly.
Programming Fundamentals
This course provides an extensive insight into basic and complex concepts in programming, such as data syntax, data structures, variables, tools, and control structures. Students will also learn the application of different types of coding languages such as R, C, C++, Python, Java, Kotlin, and JavaScript. These coding languages and concepts are important in developing machine learning software and technology.
Data Science
Data science is an important concept in machine learning as it involves the processes used in handling and analyzing computer data. Data science courses teach students how to develop and utilize algorithms to look for trends in large structured and unstructured datasets.
Continuing Education Paths for Machine Learning Master’s Degree Graduates
The best path to take with a machine learning master’s degree after you graduate is to get a professional certification in machine learning, such as one available at the Massachusetts Institute of Technology. You can also choose to obtain an advanced degree such as a professional master’s degree or even a doctoral degree in machine learning.
Related Machine Learning Degrees
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What to Look For in the Best Machine Learning Master’s Degree Programs
The most important things to look for in the best machine learning master’s degree programs are numerous. If you are wondering what to look for in a college for a master’s degree in machine learning, read our list of important criteria to consider.
Accreditation
One of the first things you should research while conducting your search is the accreditation of the school. Accreditation is necessary because it ensures that the institution conforms to national and international standards of providing educational and research services.
Student Services
Another thing to look for is whether the school offers support or assistance in the success and development of their students. You should enroll in a university that provides resources to help in times of difficulty or uncertainty, as well as career services like resume building and networking.
Specialization/Concentration Options
You should also check for degree specialization or concentration options available to students. Many schools have broad master’s degree programs such as computer science, but they allow students to focus on one area of the subject, like machine learning.
Application Fees/Barriers to Admission
You should carefully scan the school’s website for their admission requirements and applications to find out if you qualify or if there are possible barriers to gaining admission. For example, many schools have minimum age and degree requirements for applicants.
Flexibility/Format
Another necessary factor to consider is the format of the degree program. You should research to see if it is a completely in-person, online, or hybrid program, and pick the format that works best for your learning style.
What Is the Most Affordable Machine Learning Master’s Degree?
The most affordable machine learning master’s degree is offered by the University of Texas at San Antonio. The per-credit tuition cost is $247.53 for residents, and the total tuition cost for 30 credits is just under $7,500, making it by far the most affordable program on this list.
Another affordable university program option is the highly prestigious MS degree offered by Cornell University. The base tuition price is high, but the school offers fully-funded, free tuition for teaching assistants in the program.
Salary and Job Outlook for Machine Learning Master’s Degree Graduates
Graduating with a master’s degree in machine learning unlocks a series of lucrative job opportunities in the field of technology. The field is in high demand, and professionals enjoy higher salaries than average. Keep reading for a closer look at some of the best machine learning master’s degree jobs and their average salaries.
How Hard Is It to Get a Job With a Machine Learning Master’s Degree?
It is not very hard to get a job with a machine learning master’s degree. There are about 30,000 jobs in Machine Learning that are available to machine learning master’s degree graduates, according to the US Bureau of Labor Statistics.
The degree programs equip students with relevant skills, in-depth knowledge, and career services to prepare them for jobs after graduation. Many schools also offer internship opportunities that train students and may lead to job offers.
What’s the Average Machine Learning Master’s Degree Salary?
The average salary for a master’s degree in machine learning is $103,000 per year, according to PayScale. This is a higher average salary than many other professions. It may vary depending on your job title and level of experience.
What Types of Jobs Can You Get With a Machine Learning Master’s Degree?
The jobs you can do with a machine learning master’s degree include machine learning engineering, algorithm engineering, and software engineering. You can work in a range of industries including marketing, tech, entertainment, agriculture, cybersecurity, retail, and customer service. You’ll find it’s not hard to get jobs with a machine learning master’s degree.
Machine Learning Degree Jobs
- Machine Learning Engineer
- Algorithm Engineer
- Computer Network Architect
- Software Developer
- Software Engineer
Potential Careers With a Machine Learning Degree
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How Much Money Can You Make With a Master’s Degree in Machine Learning?
You can make between $88,500 and $131,500 per year with a machine learning master’s degree. Salaries may differ depending on the industry or company you work for. Below you’ll find a few of the highest-paying machine learning master’s degrees jobs, including their responsibilities and salaries, as well as the highest paying states.
Highest-Paying Machine Learning Master’s Degree Jobs and Salaries: Overview
| Machine Learning Master’s Degree Jobs | Average Salary |
|---|---|
| Computer and Information Research Scientist | $131,490 |
| Algorithm Engineer | $121,500 |
| Computer Network Architect | $120,520 |
| Software Developer | $110,140 |
| Software Engineer | $88,540 |
Best Jobs for Machine Learning Master’s Degree Grads
The best jobs for a machine learning master’s degree graduate include machine learning engineer, algorithm engineer, computer network architect, software developer, and software engineer. Below you’ll find everything you need to know about the best machine learning jobs, such as the average salaries, number of jobs, and job outlook.
Best Jobs According to Your Major
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Is a Master’s Degree in Machine Learning Worth It?
Yes, a master’s degree in machine learning is definitely worth it. It provides hands-on training and skills needed for a high-demand career, and an opportunity to contribute to the world of tech by developing cutting-edge technologies such as robotics engineering.
Artificial intelligence and machine learning are the future of technology, and a master’s degree is the first major step in entering the field. If you want to land a high-paying and advanced job, you will find getting a master’s in machine learning worth it.
Additional Reading About Machine Learning
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Machine Learning Master’s Degree FAQ
Yes, you can obtain a master’s degree in machine learning online. Online programs are great options for students with busy schedules. Some schools offer fully online programs, while others may provide a hybrid system that accommodates both in-person and online students.
It is possible to advance to a master’s degree from an associate degree, but it is very uncommon. Some universities offer what may be called a combined program, which contains both an undergraduate degree and a master’s degree in one. However, this method usually takes longer than the normal master’s degree duration of two years.
Yes, AI and machine learning require coding as they both rely heavily on mathematics and algorithms that may be unnecessary in conventional programming but important for machine learning programming. Artificial Intelligence requires foundational and advanced knowledge of programming skills.
Python is a programming language that is widely used in machine learning. Because most machine learning techniques constitute complex algorithms and workflows, the simplicity of Python allows programmers to program reliable and effective intelligent systems.
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