GEORGE WASHINGTON UNIVERSITY · UNITED STATES
Master of Science in Artificial Intelligence & Machine Learning
Master's · Taught in en
At a glance
24 mo
Duration
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IELTS
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Tuition / yr
en
Language
Master's
Level
- 30 credit hours requiredProgram Credits
- Located in Washington, D.C.Unique Location Advantage
- Proximity to federal agencies and industry leadersCareer Opportunities
- Focus on responsible AI deploymentEthical AI Emphasis
- Thesis and non-thesis options availableFlexible Program Structure
The Master of Science in Artificial Intelligence and Machine Learning program offers a robust combination of technical expertise and practical application, preparing graduates to develop cutting-edge AI systems and guide their responsible deployment across various sectors. Situated in Washington, D.C., the program leverages proximity to federal agencies, international organizations, and key industries like healthcare and defense. Graduates will be equipped to design, build, and innovate with AI solutions, leading the ethical and responsible implementation of AI in government, industry, and research.
Curriculum
The program requires 30 credit hours. Students must complete core courses in algorithms, machine learning, deep learning, and trustworthy AI. They will then choose four elective courses from a list of AI/ML specializations. For the non-thesis option, two free electives are required. For the thesis option, students complete 24 credit hours of coursework and 6 credit hours of thesis research over two semesters.
- Core Courses
- Design and Analysis of AlgorithmsCS 6212
- Machine LearningCS 6364
- Neural Networks and Deep LearningCS 6366
- Trustworthy AI OverviewCS 6510
- AI/ML Electives (Choose 4)
- Artificial Intelligence AlgorithmsCSCI 6511
- Natural Language ProcessingCSCI 6513
- Large Language ModelsCSCI 6514
- Advanced Machine LearningCSCI 6365
- Introduction to Computer VisionCS 6527
- Data MiningCS 6443
- Introduction to Big Data and AnalyticsCS 6444
- Reinforcement LearningECE 6882
- Introduction to Medical Imaging MethodsBME 6830
- Digital Image ProcessingBME 6840
- Free Electives (Non-Thesis Option - Choose 2)
- CSCI courses numbered 6200 and above
- Graduate courses from Math, Statistics, Neuroscience, Physics, or SEAS departments (with advisor approval)
- Thesis Option
- Thesis Research
Careers
Graduates are prepared to become leaders and engineers in the AI field, capable of driving innovation and responsible AI deployment in government, industry, and research.
- AI Engineer
- Machine Learning Engineer
- AI Researcher
- Data Scientist
- Policy Advisor (AI Focus)
Frequently asked questions
- What are the academic entry requirements for the Master of Science in Artificial Intelligence & Machine Learning program?
- Applicants must hold a Bachelor's degree with coursework in Mathematics (two courses beyond pre-calculus), one year of lab science, and Computer Science (including structured programming, discrete structures, data structures, and computer architecture). A GPA of 3.0 on a 4.0 scale (or equivalent) in the last 60 credit hours of undergraduate work is also required.
- How do I apply to the Master of Science in Artificial Intelligence & Machine Learning program?
- International applicants should complete the online application form via the George Washington University Graduate Admissions portal, submit official academic transcripts, required test scores (GRE, TOEFL/IELTS if applicable), letters of recommendation, a statement of purpose, and a resume/CV. An application fee is also required.
- What is the tuition fee for this program?
- International applicants should refer to the university's official tuition and fee schedule for current rates. Information regarding tuition remission benefits for eligible GW employees and their dependents is also available.
- How long does the Master of Science in Artificial Intelligence & Machine Learning program take to complete?
- The program requires 30 credit hours. For the thesis option, students complete 24 credit hours of coursework and 6 credit hours of thesis research over two semesters.
- What are the career prospects after completing this program?
- Graduates are prepared for roles such as AI Engineer, Machine Learning Engineer, AI Researcher, Data Scientist, and Policy Advisor (AI Focus). The program's location in Washington, D.C. offers proximity to federal agencies and industry leaders.
- Does the program have a thesis option?
- Yes, the program offers both a non-thesis option and a thesis option. For the thesis option, students complete 24 credit hours of coursework and 6 credit hours of thesis research.
Entry requirements
Bachelor's degreeIn any field with completed coursework in Mathematics (two courses beyond pre-calculus), one year of lab science, and Computer Science (structured programming language, discrete structures, data structures, computer architecture).
GPAMinimum of 3.0 on a 4.0 scale (or equivalent) on the last 60 credit hours of undergraduate work.
Successful submission of the online application form, exam scores, and other required documents is necessary. Refer to the Graduate Admissions requirements for a comprehensive list.
Fees
Tuition (international)Please refer to the university's official tuition and fee schedule for current rates.
Tuition (home)Please refer to the university's official tuition and fee schedule for current rates. Employees may be eligible for tuition remission benefits.
LivingEstimated living costs are not provided on the program page.
Tuition remission benefits are available for eligible GW employees and their dependents. Coverage details and eligibility criteria vary based on employee classification and years of service.
How to apply
1. Complete the Online ApplicationSubmit the application form through the George Washington University Graduate Admissions portal.
2. Submit Academic TranscriptsProvide official transcripts from all undergraduate and graduate institutions attended.
3. Provide Test ScoresSubmit required standardized test scores (e.g., GRE, if applicable) and English proficiency test scores (e.g., TOEFL, IELTS) if your previous education was not in English.
4. Upload Supporting DocumentsThis may include a statement of purpose, letters of recommendation, and a resume or CV.
5. Pay Application FeeA non-refundable application fee is typically required.
6. Await Admission DecisionThe university will notify applicants of their admission status.
Frequently asked questions
What are the academic entry requirements for the Master of Science in Artificial Intelligence & Machine Learning program?
+
Applicants must hold a Bachelor's degree with coursework in Mathematics (two courses beyond pre-calculus), one year of lab science, and Computer Science (including structured programming, discrete structures, data structures, and computer architecture). A GPA of 3.0 on a 4.0 scale (or equivalent) in the last 60 credit hours of undergraduate work is also required.
How do I apply to the Master of Science in Artificial Intelligence & Machine Learning program?
+
International applicants should complete the online application form via the George Washington University Graduate Admissions portal, submit official academic transcripts, required test scores (GRE, TOEFL/IELTS if applicable), letters of recommendation, a statement of purpose, and a resume/CV. An application fee is also required.
What is the tuition fee for this program?
+
International applicants should refer to the university's official tuition and fee schedule for current rates. Information regarding tuition remission benefits for eligible GW employees and their dependents is also available.
How long does the Master of Science in Artificial Intelligence & Machine Learning program take to complete?
+
The program requires 30 credit hours. For the thesis option, students complete 24 credit hours of coursework and 6 credit hours of thesis research over two semesters.
What are the career prospects after completing this program?
+
Graduates are prepared for roles such as AI Engineer, Machine Learning Engineer, AI Researcher, Data Scientist, and Policy Advisor (AI Focus). The program's location in Washington, D.C. offers proximity to federal agencies and industry leaders.
Does the program have a thesis option?
+
Yes, the program offers both a non-thesis option and a thesis option. For the thesis option, students complete 24 credit hours of coursework and 6 credit hours of thesis research.