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Best Machine Learning Master’s Degree Programs, Jobs, and Salaries

Kelvin Ekun - May 09, 2022


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.

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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.

1

Boston University

Boston, MA

Boston University is a private institution located in Boston, Massachusetts. The university is nonsectarian but was founded in 1839 by Methodists. It offers bachelor's degrees, master's degrees, and doctorate degrees in 17 schools and colleges including arts, medicine, theology, and law. With more than 4,000 faculty members and about 34,000 students, BU is one of Boston's largest employers.

Master of Science in Artificial Intelligence

In this program, students will learn to apply algorithmic design, natural language processing, and coding skills to build AI and machine learning systems. The 32-credit hour program explores artificial intelligence, data mechanics, advanced database applications, and algorithmic data mining topics.

Master of Science in Artificial Intelligence Overview

  • Accreditation: New England Commission of Higher Education
  • Tuition (and Fees): $61,924
  • Required Credits: 32 credits
  • Program Length: 1-2 years
  • Learning Format: On-campus
  • Grad Rate: 89%

Master of Science in Artificial Intelligence Admission Requirements

  • GPA: 3.0
  • Standardized Tests: GRE
  • Application Fee: $85
  • Minimum Education: Bachelor’s degree from an accredited college or university or with equivalent international education
  • Other Requirements: Minimum TOEFL score of 84 for international students

Applying to Boston University

  1. Apply on the school’s website
  2. Pay the application fee
  3. Provide your personal information, a written statement of purpose, and three letters of recommendation
  4. Submit your official transcripts
  5. Await feedback from the admissions board
2

Carnegie Mellon University

Pittsburgh, PA

Carnegie Mellon University is an independent university in Pittsburgh, Pennsylvania. It was founded in 1900 and offers interdisciplinary programs including arts, business, computing, engineering, and humanities. Over the last decade, the institution has raised more than $7 billion in funding for more than 400 startups, according to CMU Center for Business Startups.

Master of Science in Machine Learning

The Master of Science in Machine Learning degree offers students the chance to build on their training with advanced study in machine learning. Learners will gain a wide range of technical skills from hands-on experience with qualified professors.

Incoming students should have good business analytics skills and a strong aptitude for mathematics, statistics, and computer programming. The curriculum credit requirements include six core credits and three elective credits.

Master of Science in Machine Learning Overview

  • Accreditation: Middle States Commission on Higher Education
  • Tuition: $26,000/semester or $723/credit unit
  • Required Credits: 96 credits
  • Program Length: 1-2 years
  • Learning Format: On-campus
  • Grad Rate: 93%

Master of Science in Machine Learning Admission Requirements

  • GPA: 3.9 recommended
  • Standardized Tests: GRE
  • Application Fee: $125
  • Minimum Education: Bachelor’s degree and minimum one year of college-level probability and statistics, matrix algebra, and multivariate calculus courses
  • Other Requirements: Reasonable programming skills in Java and Python, and solid math background; TOEFL exam for international students

Applying to Carnegie Mellon University

  1. Apply on the school’s website
  2. Pay the application fee
  3. Provide your personal information, a written statement of purpose, resume or CV, and three letters of recommendation
  4. Submit your official transcripts from previous universities
  5. Await feedback from the admissions board
3

Cornell University

Ithaca, NY

Cornell University is a private ivy-league university in Ithaca, New York. It was founded in 1865 by philanthropist and politician Ezra Cornell to contribute to all fields of knowledge. Cornell currently has nearly 25,500 students, and is ranked thirteenth in the world for engineering programs by US News and World Report.

Master of Science in Computer Science With Specialization in Machine Learning

This is a highly competitive, four-semester program for students who wish to further their education in computer science through advanced coursework, research, and assistant teaching. The program includes a thesis and five core courses exploring algorithms and theory of computation, artificial intelligence, programming languages and methodology, and scientific computing.

Master of Science in Computer Science With Specialization in Machine Learning Overview

  • Accreditation: Middle States Commission on Higher Education
  • Tuition: $29,500/year, or fully funded if working as a teaching assistant
  • Required Credits: 34 credit hours, including thesis work
  • Program Length: Two years
  • Learning Format: On-campus
  • Grad Rate: 95%

Master of Science in Computer Science With Specialization in Machine Learning Admission Requirements

  • GPA: No minimum requirement
  • Standardized Tests: TOEFL for international students
  • Application Fee: $105
  • Minimum Education: Bachelor’s degree in computer science or a related field
  • Other Requirements: Experience as an undergraduate researcher or teacher helpful

Applying to Cornell University

  1. Apply on the school’s website
  2. Select the degree program you’re applying for
  3. Provide your personal information, a written statement of purpose, resume or CV, and three letters of recommendation
  4. Submit your official transcripts
  5. Await feedback from the admissions board
4

Drexel University

Philadelphia, PA

Drexel University is a medium-sized private university founded by Anthony J. Drexel in Philadelphia in 1891. Today, it attracts over 24,000 undergraduate and graduate students to its respected degree programs in art, science, and business. Its mascot is a dragon named Mario the Magnificent.

Master’s in Machine Learning and Artificial Intelligence

Drexel University’s master’s degree program will blend theoretical and technical concepts of computer science and robotics to enable students with the skills in machine learning needed for real-world application. The College of Computing & Informatics graduate school offers in-person and online courses in software engineering, data science, game AI, computer vision, and more.

Master’s in Machine Learning and Artificial Intelligence Overview

  • Accreditation: Middle States Commission on Higher Education
  • Tuition (and Fees): $1,355/credit hour
  • Required Credits: 45 credits
  • Program Length: 2 years
  • Learning Format: On-campus or online
  • Grad Rate: 71%

Master’s in Machine Learning and Artificial Intelligence Admission Requirements

  • GPA: 3.0
  • Standardized Tests: GRE for international students and those with a GPA below 3.0
  • Application Fee: $65
  • Minimum Education: Bachelor’s degree in Computer Science or STEM-related field from a regionally-accredited institution
  • Other Requirements: None

Applying to Drexel University

  1. Apply on the school’s website
  2. Pay the application fee
  3. Provide your personal information, a written statement of purpose, and one or two letters of recommendation
  4. Send official transcripts from all previous universities
  5. Await feedback from the admissions board
5

Georgia Institute of Technology

Atlanta, GA

The Georgia Institute of Technology is a public university and institute of technology located in Atlanta, Georgia. It was established in 1885 during Reconstruction to encourage an industrial economy in the post-civil war south. The world-renowned university has campuses in Georgia, France, Ireland, China, and Singapore.

Master of Science in Computer Science With Specialization in Machine Learning

The Master of Science in Computer Science is a two-year graduate degree that specializes in the field of machine learning. Students will gain the necessary programming, AI, and computer technical skills to earn a graduate degree from one of the best computer science degree programs in the US.

Master of Science in Computer Science With Specialization in Machine Learning Overview

  • Accreditation: Southern Association of Colleges and Schools, Commission on Colleges
  • Tuition: $180/credit hour
  • Required Credits: 90 credit hours (including project and thesis)
  • Program Length: 2 years
  • Learning Format: On-campus
  • Grad Rate: 91%

Master of Science in Computer Science With Specialization in Machine Learning Admission Requirements

  • GPA: 3.0
  • Standardized Tests: TOEFL for international students
  • Application Fee: $75
  • Minimum Education: Bachelor’s degree in computer science or related field
  • Other Requirements: None
6

Oregon State University

Corvallis, OR

Oregon State University is a public research institution located in Corvallis, Oregon. Founded in 1868, it is the largest university in Oregon and offers research and degree programs to over 32,000 students from across the world.

Master of Science in Artificial Intelligence

This master’s degree program in artificial intelligence and machine learning offers graduate students the opportunity to work with research experts to learn foundational knowledge in visual computing, sequential decision-making, and robotics in a flexible education path. Students will be able to work with an instructor or advisor on a software project at the end of the program.

Master of Science in Artificial Intelligence Overview

  • Accreditation: WASC Senior College and University Commission
  • Tuition: $506/credit hour (in state); $1,057/credit hour (out of state)
  • Required Credits: 45 credits
  • Program Length: 1.5 years
  • Learning Format: On-campus
  • Grad Rate: 69%

Master of Science in Artificial Intelligence Admission Requirements

  • GPA: 3.0
  • Standardized Tests: TOEFL exam for international students
  • Application Fee: $75
  • Minimum Education: Bachelor’s degree
  • Other Requirements: Demonstrated proficiency in mathematics, statistics, and computer programing

Applying to Oregon State University

  1. Apply on the school’s website
  2. Pay the application fee
  3. Provide your personal information, a written statement of objectives, a resume or CV, and three letters of recommendation
  4. Submit your official transcripts
  5. Await feedback from the admissions board
7

Massachusetts Institute of Technology

Cambridge, MA

The Massachusetts Institute of Technology (MIT) is an independent research institute in Cambridge, Massachusetts. The university was established in 1861 and is one of the leading contributors to the world of modern technology and science. It has numerous global recognitions, including ranks in lists like the World’s Most Prestigious Universities 2016 by the Times Higher Education Magazine.

Master of Science in EECS with Specialization in Machine Learning

The EECS Department is the largest in the School of Engineering, a world-class faculty with about 700 graduate students in the doctoral program. The program offers research in AI, computer graphics, human-computer interaction, and machine learning, using deep-learning libraries. The program requires 66 credit units and

Master of Science in EECS with Specialization in Machine Learning Overview

  • Accreditation: New England Commission of Higher Education
  • Tuition: $27,755/year
  • Required Credits: 66 units plus thesis
  • Program Length: Two years
  • Learning Format: On-campus
  • Grad Rate: 96%

Master of Science in EECS with Specialization in Machine Learning Admission Requirements

  • GPA: No minimum requirement
  • Standardized Tests: TOEFL/IELTS for international students
  • Application Fee: $75
  • Minimum Education: Bachelor’s degree and a strong background in math and science
  • Other Requirements: None

Applying to the Massachusetts Institute of Technology

  1. Apply on the school’s website
  2. Pay the application fee
  3. Provide your personal information, a written statement of purpose, and three letters of recommendation
  4. Submit your official transcripts
  5. Await feedback from the admissions board
8

Stanford University

Stanford, California

Stanford University is located in Stanford, California, and was established in 1885. It offers interdisciplinary education in arts, biological sciences, mathematics, law, physics, and many other fields. Some industry partners of Stanford University include Silicon Graphics, Cisco, Yahoo, Google, LinkedIn, and Instagram. It is ranked among the best universities in the US.

MSCS in Artificial Intelligence

The MSCS is a highly competitive program and offers core courses and research possibilities exploring artificial intelligence, biocomputation, cyber security, human-computer interaction, information management and analytics, real-world computing, software theory systems, and theoretical computer science.

MSCS in Artificial Intelligence Overview

  • Accreditation: WASC Senior College and University Commission
  • Tuition (and Fees): $36,720/quarter or 8-10 credit units
  • Required Credits: 45 credits
  • Program Length: Two years
  • Learning Format: On-campus
  • Grad Rate: 95%

MSCS in Artificial Intelligence Admission Requirements

  • GPA: No minimum requirement
  • Standardized Tests: TOEFL for international students
  • Application Fee: $125
  • Minimum Education: Bachelor’s degree
  • Other Requirements: None

Applying to Stanford University

  1. Apply on the school’s website
  2. Pay the application fee
  3. Provide your personal information, a written statement of purpose, a resume or CV, and three letters of recommendation
  4. Submit your official transcripts
  5. Await feedback from the admissions board
9

Stevens Institute of Technology

Hoboken, NJ

Stevens Institute of Technology is a private university in Hoboken, New Jersey. Established in 1870, it is one of the oldest technological universities in the United States and the first college in America to specialize in mechanical engineering. Its graduate school offers degree programs in business, computer science, engineering, and science.

Master of Science in Machine Learning

This machine learning master's program focuses on theoretical deep-learning foundations and practical aspects of artificial intelligence and machine learning. The core degree courses will enable students with expertise in machine learning, and the program prides itself on excellent networking opportunities with tech industry leaders.

Master of Science Machine Learning Overview

  • Accreditation: Middle States Commission on Higher Education
  • Tuition: $19,704/semester
  • Required Credits: 30 credits
  • Program Length: Two years
  • Learning Format: On-campus and online
  • Grad Rate: 88%

Master of Science Machine Learning Admission Requirements

  • GPA: 3.0
  • Standardized Tests: GRE/GMAT
  • Application Fee: $60
  • Minimum Education: Bachelor’s degree in computer science or a related field from an accredited institution
  • Other Requirements: TOEFL exam scores for ESL and international students

Applying to Stevens Institute of Technology

  1. Apply on the school’s website
  2. Pay the application fee
  3. Provide your personal information, resume or CV, and two letters of recommendation
  4. Submit your official transcripts
  5. Await feedback from the admissions board
10

University of Texas at San Antonio

San Antonio, TX

The University of Texas at San Antonio is a public research institution with over 34,000 undergraduate and graduate students. Founded in 1969, the institution is classified as a “Very High Research Activity” university by the Carnegie Classifications of Higher Education.

Master of Science in Artificial Intelligence

Texas University’s Master of Science in Artificial Intelligence degree program equips students with the necessary core knowledge of artificial intelligence and machine learning systems needed for potential success as future industry leaders.

The program offers three specialization tracks, including Analytics, Computer Science, and Intelligent and Autonomous Systems, providing students autonomy to study a tech area that interests them most.

Master of Science in Artificial Intelligence Overview

  • Accreditation: Southern Association of Colleges and Schools, Commission on Colleges
  • Tuition: $247.53/credit hour (in state); $302.80/credit hour (out of state)
  • Required Credits: 30 credits
  • Program Length: 2 years
  • Learning Format: On-campus
  • Grad Rate: 46%

Master of Science in Artificial Intelligence Admission Requirements

  • GPA: 3.0 recommended
  • Standardized Tests: Not required
  • Application Fee: $50
  • Minimum Education: Bachelor’s degree in computer science, engineering, or technology-related field
  • Other Requirements: Minimum TOEFL score of 79 for international students

Applying to the University of Texas

  1. Apply on the school’s website
  2. Pay the application fee
  3. Provide your personal information, a written statement of purpose, a resume or CV, and two letters of recommendation
  4. Submit official transcripts from all previous universities
  5. Await feedback from the admissions board

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.

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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

Close up of circuit board Best Machine learning Master's Degrees
Machine learning is a lucrative, exciting career option available to professionals with a Master of Science degree.

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.

1

Machine Learning Engineer

Average Salary: $131,490

Machine learning engineers design artificial intelligence (AI) systems for technology that functions without human control, such as self-driving cars and robots. They develop strategies to deal with problems involved in designing this innovative technology, and they do research and write reports on their designs and the progress of the systems.

2

Algorithm Engineer

Average Salary: $121,500

Algorithm engineers or algorithm developers are professionals who design, analyze, implement and integrate computer algorithms. They help discover patterns in machine learning datasets as well as research ways to optimize the performance of algorithms.

3

Computer Network Architect

Average Salary: $120,520

Computer network architects build and design data communication networks such as LAN and WAN. They upgrade computer hardware and software to help companies achieve specific goals, and they research patterns and strategies to continually develop computer networks.

4

Software Developer

Average Salary: $110,140

Software developers are professionals who design and create computer software to help users carry out tasks. They research the needs and demands of users to design functional applications, and they also recommend upgrades to companies for software applications.

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Software Engineer

Average Salary: $88,540

Software engineers are professionals that create computer applications to solve real-world problems. They apply engineering concepts such as computer science and mathematics to design computer software. Their overall responsibilities include planning, designing, building, implementing, and maintaining software programs within the computer system.

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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

[query_class_embed] https://careerkarma.com/blog/how-to-get-a-job-in-machine-learning/ https://careerkarma.com/blog/how-much-do-machine-learning-engineers-make/ https://careerkarma.com/blog/machine-learning/

Machine Learning Master’s Degree FAQ

Can I obtain a master’s degree in machine learning online?

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.

Can I advance to a master’s degree in machine learning from an associate degree?

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.

Does AI require coding?

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.

Which programming language is best for machine learning?

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.

About us: Career Karma is a platform designed to help job seekers find, research, and connect with job training programs to advance their careers. Learn about the CK publication.

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Kelvin Ekun

About the author: Kelvin is a content writer with extensive tech experience. He studied project management with Deprimex Consulting and attended the Data Science Nigeria 2020 Bootcamp. Kelvin’s work experience includes organizing tech training for student associations and working as the editor-in-chief of a university press. He holds a Bachelor of Science in Industrial and Production Engineering as well as online course certificates from the University of Michigan and Coursera.

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