Lead digital transformation by building expertise in AI ethics, governance, and applications. Develop technical skills through hands-on projects and combine AI coursework with training in cloud computing, cybersecurity, and IT management.
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MS in Information Systems and AI for Business
Stay ahead with technical expertise and strategic insight
Details
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STEM-Designated -
Fall Term -
Full-time -
In-Person -
Washington, D.C. -
9 Months -
30 Credits -
$78,500**See full costs details. Tuition rates are subject to change and have not yet been finalized. Confirmed rates will be posted at a later date.
Benefits & Highlights
- Enter the workforce faster: The 9-month format aligns with major employment cycles in the U.S. and abroad
- AI curriculum: Customize your studies with technical and non-technical electives in responsible AI, deep learning, generative AI, machine learning, and more
- No coding experience required: Learn new platforms and tailor your learning to your interests and career goals
- STEM designation: Provides an opportunity to apply for an Optional Practical Training extension
- Take advantage of Washington, D.C.: Live and study in the heart of the nation’s capital, with access to professional opportunities, new networks, and experiences outside the classroom
Who Should Apply
The full-time MS in Information Systems and AI for Business program is designed for recent graduates and early career professionals wanting to focus on AI technical framework and foundations, machine learning skills, generative AI, deep learning, and responsible AI.
Connect with a recruiter
Our recruiters are here to help you every step of the way with questions about the application process, curriculum, or how this full-time program fits your career goals.
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Curriculum
The nine-month, full-time program curriculum is 30 credits. Students complete 22 credits of core courses, building expertise in emerging technologies, AI ethics, data privacy, and scalable cloud solutions.
Core curriculum
REQUIRED COURSES
The full-time Master of Science in Information Systems and Artificial Intelligence for Business program offers one of the most comprehensive AI curricula available, from AI governance and strategic leadership to the most advanced, hands-on learning in Generative AI techniques.
Explore the forefront of artificial intelligence by learning to build, train, evaluate, and refine generative AI systems. Gain hands-on experiences creating original content such as images, videos, and other media. Students will develop agentic AI solutions for real-world business scenarios, developing the skills to design autonomous, goal-oriented systems that deliver value across various industries.
- AI and Digital Strategy
- AI Essentials for Business
- Business Communication
- Business Leadership and Human Values
- Cyber Networks: Securing Digital Frontier
- Database Management
- Generative AI
- Large Scale Computing on the Cloud
- Machine Learning: Design and Deployment
- Responsible AI
- Statistical Analysis
Customize your experience
ELECTIVES
Customize your experience with electives in areas such as AI, business analytics, cybersecurity, data science, and more. See the pdf for more detailed information on electives for each of these course concentrations:
Students visit Booz Allen Hamilton
An invitation-only experience, Carey students saw firsthand how the advanced technology company deploys emerging technologies to solve real-world challenges. Read more about the visit to The Helix, Booz Allen’s Center for Innovation
Johns Hopkins Ward Infinity
In Fall 2026, students worked in partnership with Johns Hopkins Ward Infinity as venture AI specialists, joining a real venture’s advisory team and working on a live AI challenge. Four 2026 graduates participated: Tianjin Duan, Bingning Guo, Rongze Gao, and Venkat Krishnan. Duan turned anonymized patient fitting data into visualizations for a post-mastectomy care brand. Guo worked on culturally tailored diet and lifestyle recommendations, Gao helped develop an app for patients managing kidney disease, and Krishnan supported a venture building biomaterials to regenerate muscle with a website redesign and data storage for tissue analytics. Students learned to scope problems with founders, work with messy real-world data, and deliver solutions a venture can use. All skills and experiences that coursework alone cannot provide.
Beyond the classroom
Hear and learn from industry leaders
Carey students have the unique opportunity to hear and learn from real-world industry leaders, take part in hands-on trainings, and collaborate with faculty on cutting-edge research. Carey students hear from full-stack developer at Oracle
Real-world site visits
Amazon Web Services Skills Center
In Fall 2026, students visited the AWS Skills Center in Arlington, VA, to experience firsthand how their cloud and AI coursework can translate into a career. Students learned about AWS services, projects, and certifications and connected them to their own interests and goals. An AWS recruiter shared insights from her role and reviewed several students’ résumés, offering individual feedback from an industry hiring professional. Students left with a clearer picture of the certifications and career paths open to them.
”I strengthened my technical skills such as Python and machine learning while gaining knowledge on the business side of organizations."
Tanush
Sharanarthi ’23
Staff Software Engineer
IBM
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Career & Life Design
Your career goals are our priority.
From the time you step into the classroom through graduation and beyond, our students have access to career resources to help clarify goals, build critical skills, and connect with opportunities that align with their interests. And the results speak for themselves.
Career resources are embedded into the full-time Information Systems and Artificial Intelligence curriculum and program experience. The Career & Life Design team works closely with our full-time students to help you plan for and secure a post-graduation career. See how the Career & Life Design team works with our full-time specialized master’s students.
Application deadlines
| Application round | Candidate deadline | Decision release | Initial deposit deadline | Final deposit deadline |
|---|---|---|---|---|
| Round 1 | October 21, 2026 | December 2, 2026 | January 13, 2027 | April 7, 2027 |
| Round 2 | January 13, 2027 | February 24, 2027 | April 7, 2027 | May 19, 2027 |
| Round 3 | February 10, 2027 | March 17, 2027 | April 14, 2027 | May 19, 2027 |
| Round 4 | March 10, 2027 | April 21, 2027 | May 12, 2027 | June 9, 2027 |
| Round 5 | April 14, 2027 | May 12, 2027 | June 9, 2027 |
”I built strong technical and product skills in Al and machine learning, while gaining hands-on experience turning business needs into scalable Al products."
Chunjiang
Li '25
Chatbot Product Lead
Alibaba
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Admissions
Applicants are evaluated based on career goals, academic and/or professional background, and their ability to contribute to the cohort.
Students have access to various financial aid and scholarships options, making your academic and career goals more attainable.
Financial aid opportunities:
- Merit-based scholarships
- Private scholarships
- Employer tuition assistance
- Private loans
- State or federal aid
- Completed online application
- Résumé (one page)
- Two essays
- One professional recommendation
- Official transcript(s)
- TOEFL iBT / IELTS / PTE / DET score (required for non-U.S. citizens whose undergraduate degree was not taught in English)
- Recorded interview
- GMAT or GRE score (optional)
- $100 nonrefundable application fee
Submit your application through the Johns Hopkins University-wide platform. Select Carey Business School as your preferred school and choose the upcoming fall term, then upload all required materials. Once we receive your completed application, our team will review your file and follow up with you on next steps.
More about the full-time MS in Information Systems and AI for Business application process
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