Shape the Future of Artificial Intelligence

Graduate

MS in Machine Learning

Dive deep into advanced ML algorithms, deep learning, neural networks, and AI system design and evaluation.

2 Years On Campus / Online

Certificate

AI Applications for Business

A focused program for professionals to learn practical AI implementation strategies in various business sectors.

6 Months Online

Undergraduate

BS in Data Science & AI

Master the skills to extract insights from data using statistics, machine learning, and AI techniques.

4 Years On Campus

Graduate

MS in AI Ethics & Governance

Explore the ethical implications, policy frameworks, and governance structures for responsible AI deployment.

2 Years On Campus / Online

Certificate

Machine Learning Engineering

Gain practical skills to design, build, deploy, and maintain robust machine learning systems at scale.

4 Months Online

View All Programs

Meet Our World-Class Faculty

Learn from leading experts and pioneers in artificial intelligence

Dr. Michael Carter

Professor, AI Engineering

Expert in neural network architecture with 15+ years of industry and research experience.

Dr. Sarah Johnson

Assoc. Professor, Machine Learning

Specialist in reinforcement learning with publications in top AI conferences.

Dr. James Lee

Professor, AI Ethics & Policy

Leading researcher in AI governance, bridging technology and philosophy.

Dr. Emily Rodriguez

Assoc. Professor, Applied AI

Focuses on AI applications in healthcare, particularly medical imaging analysis.

Discover All Research Areas

Meet All Faculty

Research Excellence

Pioneering research initiatives addressing critical challenges in AI

Advanced Machine Learning

Developing novel ML algorithms for improved efficiency, accuracy, and interpretability in complex tasks.

Led by: Dr. S. JohnsonAI Core Lab

Explore Research

Ethical AI Frameworks

Creating frameworks for responsible AI development that minimize bias and ensure fairness and transparency.

Led by: Dr. J. LeeEthics & Governance Lab

Explore Research

AI for Healthcare Innovation

Applying AI to improve diagnostic accuracy, personalize treatment plans, and optimize healthcare delivery systems.

Led by: Dr. E. RodriguezApplied AI Lab

Explore Research

Vibrant Campus Life

Experience a collaborative learning environment designed for innovation

State-of-the-Art Facilities

AI Research Labs

Student Center & Cafe

Library & Learning Commons

Explore Campus Life

Hear From Our Community

Student and Alumni Experiences at International Schools

The AI Engineering program provided the perfect blend of challenging theory and hands-on projects. The faculty's industry connections were invaluable for launching my career at a top AI firm.

David Rodriguez

BS in AI Engineering, Class of 2023
AI Engineer, TechCorp

As a mid-career professional, the online Certificate in AI Applications was incredibly flexible and immediately applicable. I could directly use the concepts learned to drive AI initiatives in my company.

Jennifer Chen

Certificate in AI Applications, 2024
Product Manager, FinTech Solutions

My graduate experience in the MS Machine Learning program was transformative. The deep dive into research alongside world-class faculty opened doors to collaborations I never thought possible.

Omar Hassan

MS in Machine Learning, Class of 2022
Research Scientist, AI Labs Inc.

Latest News & Events

Stay updated with the latest happenings at International Schools

April 10, 2025

IS Launches New AI for Climate Change Initiative

New research program focused on applying AI to address climate challenges begins with $5M funding.

Annual AI Symposium Registration Now Open

Join us for three days of talks, workshops, and networking with AI industry leaders and researchers.

Faculty Receives $3.5M Grant for Healthcare AI

Dr. Michael Carter's team secures major funding to develop AI tools for early disease detection.

Ready to Shape Your Future in AI?

Explore our programs and discover how International Schools can equip you with the knowledge, skills, and ethical foundation to lead in the age of artificial intelligence.

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Our Journey & Commitment

International Schools was founded in 2020 by a collective of visionary educators, pioneering researchers, and forward-thinking industry leaders. We recognized an urgent global need for specialized, high-caliber education focused squarely on artificial intelligence and its profound societal impact.

In a world rapidly reshaped by AI, we saw a unique opportunity: to build an institution dedicated not just to technical mastery, but also to the ethical considerations, critical thinking, and responsible innovation vital for navigating this new era. Our mission was clear – to prepare graduates capable of leading with both technical prowess and ethical integrity.

From our initial modest campus and two flagship programs, International Schools has rapidly evolved into a globally recognized leader. We now boast multiple state-of-the-art campus locations, comprehensive online learning platforms, and a vibrant, diverse community of over 1,500 students representing more than 60 nations.

As we continue to grow and adapt, our core commitment remains unwavering: to deliver unparalleled education, foster groundbreaking research, champion responsible AI practices, and empower our students to shape a future where technology serves humanity.

Connect With Us

Our Guiding Philosophy

The core principles shaping our approach to AI education and research

Innovation & Excellence

Pushing the boundaries of AI through cutting-edge research and rigorous academic programs that foster creativity and technical mastery.

Ethical Responsibility

Integrating ethical considerations into every aspect of learning and research, ensuring AI development serves the greater good.

Global Collaboration

Fostering a diverse, inclusive community and building worldwide partnerships to tackle global challenges with AI.

Interdisciplinary Approach

Combining expertise from various fields to create holistic AI solutions and understand their broad societal impact.

Industry Relevance

Aligning our curriculum and research with real-world applications and industry needs to ensure graduate success.

Lifelong Learning

Equipping students and professionals with the adaptive skills needed to thrive in the continuously evolving field of AI.

Strategic Partnerships

Collaborating with global leaders to enhance education and research

International Schools thrives on collaboration. We have forged strategic partnerships with leading technology corporations, renowned research institutions, innovative startups, and impactful non-profit organizations worldwide. These alliances enrich our educational offerings, fuel groundbreaking research, provide invaluable real-world experience for our students, and ensure our curriculum remains at the cutting edge.

Industry Partners

Collaborations with global tech giants and AI startups provide internships, co-op programs, joint research funding, access to state-of-the-art platforms, guest lectures, and curriculum insights.

Academic Collaborations

Partnerships with universities worldwide facilitate faculty/student exchanges, joint degree programs, shared resources, and collaborative research tackling complex AI challenges.

Community Engagement

We extend AI knowledge through public workshops, K-12 outreach programs, AI literacy initiatives, and pro-bono projects with non-profits, ensuring technology benefits society broadly.

Interested in partnering with International Schools? Contact our partnership office.

Meet Our Leadership

The experienced team guiding our vision and mission

Dr. Elizabeth Morgan

Founder & President

With over 25 years at the intersection of AI research and education leadership, Dr. Morgan founded IS to redefine excellence in the field.

Prof. James Chen

Provost & Academic Dean

Prof. Chen oversees academic programs, curriculum innovation, and faculty development, bringing extensive industry and academic experience.

Dr. Anya Sharma

Vice President for Research

Dr. Sharma leads the university's research enterprise, fostering interdisciplinary projects and strategic research partnerships globally.

Meet Our Full Leadership Team

Accreditation & Recognition

Committed to the highest standards of academic quality

International Schools is proud to be accredited by the Global Council for AI Education Accreditation (GCAIEA), a recognized institutional accrediting agency acknowledged by the International Network for Quality Assurance Agencies in Higher Education (INQAAHE).

What does accreditation mean? Institutional accreditation is a rigorous peer-review process that evaluates the overall quality and integrity of an educational institution. It confirms that International Schools meets or exceeds established standards in areas such as:

Mission and Goals
Educational Programs and Curriculum
Faculty Qualifications and Scholarship
Student Learning Outcomes and Support Services
Library and Information Resources
Financial Stability and Administrative Capacity
Integrity and Public Disclosure

Our accredited status ensures that credits and degrees earned at International Schools are widely recognized by other institutions, employers, and professional licensing bodies globally. It also enables our students to be eligible for federal financial aid (where applicable) and certain scholarships.

International Schools underwent its last comprehensive accreditation review in 2023 and received reaffirmation for a 7-year period, extending through 2030. We are committed to continuous improvement and regularly engage in self-study and review processes as part of the ongoing accreditation cycle.

For more information about our accrediting body or our accreditation status, please contact:

Global Council for AI Education Accreditation (GCAIEA)
100 Accreditation Plaza, Geneva, Switzerland
+41 22 555 0101
www.gcaiea-example.org

or

Office of Institutional Effectiveness & Accreditation
International Schools
[email protected]
+1 (575) 555-4575

Join Our Innovative Community

Become part of a world-leading institution dedicated to shaping the future of AI ethically and effectively.

Explore Programs Contact Admissions

Diverse Pathways in AI Education

From foundational undergraduate degrees to advanced graduate research and specialized professional certificates, find the program that fits your goals.

Undergraduate Programs

Build a comprehensive foundation in AI, data science, and computer engineering with our Bachelor of Science degrees.

Explore Undergraduate

Graduate Programs

Engage in advanced coursework and cutting-edge research with our Master of Science degrees in specialized AI fields.

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Professional Certificates

Upskill or transition into AI with focused, flexible online certificates designed for working professionals.

Explore Certificates

Our Learning Environment

Fostering innovation, collaboration, and ethical development

Cutting-Edge Labs

Access state-of-the-art computing resources, robotics labs, and specialized AI hardware.

Project-Based Learning

Engage in hands-on projects solving real-world problems from day one.

Industry Collaboration

Work on projects with industry partners and benefit from guest lectures and mentorship.

Global Community

Learn alongside a diverse cohort of students and faculty from around the world.

Ethical Focus

Develop a strong ethical compass through dedicated courses and integrated discussions.

Expert Faculty

Learn from and conduct research with world-renowned leaders in various AI domains.

Find Your Path in AI

Explore detailed information about each program and take the next step in your AI journey.

View Requirements Apply Now

Faculty Directory

Filter by department or research area to find experts in your field of interest.

Dr. Michael Carter

Professor

AI Engineering

ML & Deep LearningRoboticsEdge AI

Expert in neural network architecture design and efficient AI systems.

Dr. Sarah Johnson

Associate Professor

Machine Learning

Reinforcement LearningAI for HealthcareNLP

Specialist in reinforcement learning algorithms and applications in medicine and language.

Dr. James Lee

Professor

AI Ethics & Policy

AI EthicsAI GovernanceFairness & Bias

Leading researcher in AI governance, policy, and societal impact.

Dr. Emily Rodriguez

Associate Professor

Applied AI

AI for HealthcareComputer VisionMedical Imaging

Applies AI to medical imaging analysis and diagnostic systems.

Dr. David Chen

Assistant Professor

Machine Learning

ML & Deep LearningEdge AI

Focuses on efficient deep learning algorithms and on-device AI.

Dr. Sophia Kim

Assistant Professor

AI Ethics & Policy

AI EthicsAlgorithmic FairnessHuman-AI Interaction

Studies algorithmic fairness, accountability, and impacts on underrepresented communities.

Dr. Robert Taylor

Research Scientist

AI Engineering

Computer VisionRoboticsAutonomous Systems

Focuses on visual perception for autonomous navigation and robotic manipulation.

Dr. Maria Lopez

Research Scientist

Applied AI

NLPHuman-AI InteractionMultilingual AI

Specializes in natural language processing for cross-cultural communication and conversational AI.

Key Research Areas

Exploring the frontiers of artificial intelligence

Machine Learning & Deep Learning

Advancing core algorithms, exploring new architectures (Transformers, GNNs), self-supervised learning, and optimization techniques.

Natural Language Processing

Focusing on large language models, conversational AI, multilingual processing, information extraction, and sentiment analysis.

Computer Vision

Researching image/video analysis, object detection, 3D vision, generative models, and multimodal (vision+language) understanding.

Robotics & Reinforcement Learning

Developing intelligent agents, control systems, human-robot interaction, multi-agent systems, and learning from interaction.

AI Ethics, Safety & Governance

Investigating fairness, accountability, transparency, privacy, security, and developing frameworks for responsible AI deployment.

AI for Healthcare & Life Sciences

Applying AI to medical diagnosis, drug discovery, personalized medicine, genomics, and healthcare operations.

AI for Climate & Sustainability

Utilizing AI for climate modeling, renewable energy optimization, environmental monitoring, and sustainable resource management.

Human-AI Interaction

Designing intuitive and effective interfaces, studying user trust and collaboration with AI systems, and explainable AI (XAI).

Featured Research Projects

Highlighting impactful ongoing research at International Schools

GENERATIVE AI FOR SCIENTIFIC DISCOVERY

PI: Dr. Anya Sharma ML, Applied AI Healthcare, Climate

Developing novel generative models to accelerate hypothesis generation and discovery in complex scientific domains like drug design and materials science.

ROBUST AND FAIR AI IN HIGH-STAKES DECISIONS

PI: Dr. James Lee, Dr. Sophia Kim AI Ethics, ML Governance, Fairness

Creating methodologies and auditing tools to ensure AI systems used in critical areas like finance and justice are fair, robust, and accountable.

INTERACTIVE ROBOTICS FOR ASSISTIVE CARE

PI: Dr. David Chen, Dr. Robert Taylor Robotics, HCI Assistive Tech

Designing intuitive and safe robotic systems that can physically assist individuals with mobility impairments in daily tasks through adaptive learning.

View Faculty Openings Contact Research Office

Recent Publications

Showcasing scholarly output from our research community.

Efficient Transformer Architectures for Edge Devices: A Comprehensive Benchmark

Carter, M., Chen, D., Taylor, R., et al.

Proceedings of the International Conference on Machine Learning (ICML), 2024

View/Download

Cross-cultural Differences in Algorithmic Fairness Perceptions: A Multi-country Study

Lee, J., Kim, S., Lopez, M., et al.

Journal of AI Ethics, Vol. 5, No. 2, pp. 143-165, 2025

View/Download

Early Detection of Cardiovascular Disease Using Multi-modal Deep Learning

Rodriguez, E., Johnson, S., Kumar, A., et al.

Nature Machine Intelligence, Vol. 3, No. 4, pp. 287-301, 2025

View/Download

View All Publications

Collaborate With Us

Explore opportunities for research partnerships, sponsorships, or joining our faculty.

Undergraduate Admission Requirements

Our undergraduate programs seek ambitious students with strong analytical foundations and a passion for technology and artificial intelligence. Admission is highly competitive, and we employ a holistic review process, considering all aspects of your application.

Minimum Requirements

Completion of secondary education (high school diploma or equivalent) with a rigorous academic curriculum.
Strong academic performance, particularly in mathematics (calculus preferred) and science (physics, computer science recommended).
Standardized Test Scores: SAT or ACT scores are optional but recommended for the 2025-2026 application cycle. Scores can supplement your academic record.
Compelling personal statement detailing your interest in AI and your academic/career aspirations.
Two letters of recommendation, preferably from mathematics, science, or computer science teachers who know you well.
Demonstrated interest and engagement in activities related to technology, mathematics, science, or leadership.
English Language Proficiency (for non-native English speakers - see International tab).

Recommended Preparation

While not mandatory, the following experiences and coursework significantly strengthen an application:

Advanced Placement (AP) or International Baccalaureate (IB) courses in Calculus, Statistics, Computer Science A/Principles, Physics.
Proven programming experience (e.g., Python, Java, C++) through coursework or personal projects.
Participation in math/science Olympiads, robotics competitions, coding clubs, or hackathons.
Completion of relevant online courses or tutorials in AI/ML/Data Science.
Independent research or significant personal projects demonstrating initiative and technical skill.

How to Apply Tuition & Aid Contact Admissions

Graduate Admission Requirements

Our Master of Science programs are designed for individuals holding a bachelor's degree with a strong quantitative or computational background, seeking advanced expertise in AI.

MS in Machine Learning / AI Engineering

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a closely related technical field from an accredited institution.
Strong academic record (minimum undergraduate GPA of 3.3 on a 4.0 scale, or equivalent; competitive applicants often exceed 3.5).
Demonstrated proficiency in programming (Python strongly preferred).
Solid foundation in mathematics: Linear Algebra, Multivariable Calculus, Probability & Statistics.
Understanding of fundamental computer science concepts: Data Structures, Algorithms.
GRE General Test: Scores are optional but can be submitted to strengthen applications, especially if quantitative background is less traditional.
Three letters of recommendation evaluating academic potential and relevant skills.
Statement of Purpose outlining academic/research interests, relevant experiences, and career goals in AI/ML.
Curriculum Vitae (CV) or Resume.
English Language Proficiency (for non-native English speakers - see International tab).

Note: Relevant industry experience may be considered alongside academic qualifications. Prerequisite coursework may be required for some applicants.

MS in AI Ethics & Governance

Bachelor's degree in any field from an accredited institution. Backgrounds in social sciences, humanities, law, policy, philosophy, as well as technical fields, are welcome.
Strong academic record (minimum undergraduate GPA of 3.3 on a 4.0 scale or equivalent).
Demonstrated interest in the ethical, social, or policy dimensions of technology, particularly AI.
Three letters of recommendation evaluating critical thinking, analytical skills, and potential for interdisciplinary work.
Statement of Purpose addressing your interest in AI ethics/governance, relevant background, and career aspirations.
Writing Sample (e.g., undergraduate thesis excerpt, research paper, policy brief) demonstrating analytical and writing abilities.
Curriculum Vitae (CV) or Resume.
A foundational understanding of AI concepts is beneficial but not strictly required; introductory bridge modules are available for admitted students needing technical grounding.
English Language Proficiency (for non-native English speakers - see International tab).

How to Apply Tuition & Aid Contact Graduate Admissions

Professional Certificate Requirements

Our professional certificate programs cater to working professionals seeking specialized AI skills for career advancement or transition. Admission focuses on relevant background and motivation.

General Requirements (All Certificates)

Bachelor's degree in any field from an accredited institution (exceptions may be considered based on significant relevant experience).
Professional Resume or CV detailing work experience.
Brief Statement of Purpose (1-2 paragraphs) explaining your reasons for pursuing the certificate and how it aligns with your career goals.
Minimum of two years of professional work experience is typically recommended but not strictly required for all certificates.
English Language Proficiency (may be required for non-native English speakers).

Certificate-Specific Recommendations

Certificate in AI Applications for Business

Basic understanding of business operations or strategy.
Familiarity with data concepts is helpful.
No prior programming experience required (foundational concepts covered).

Certificate in Machine Learning Engineering

Strong proficiency in at least one programming language (Python highly recommended).
Experience with software development practices.
Foundational knowledge of linear algebra, calculus, and probability/statistics.
Prior exposure to basic machine learning concepts is beneficial.

Certificate in Foundations of AI Ethics

Strong analytical and critical thinking skills.
Interest in the societal impact of technology.
Background in policy, law, ethics, management, or technology is helpful but not required.

Apply for a Certificate View Certificate Costs Contact Professional Ed

International Student Requirements

International Schools is a global community, and we welcome talented applicants from around the world. In addition to meeting the standard academic requirements for your chosen program (Undergraduate, Graduate, or Certificate), international applicants must provide the following:

English Language Proficiency

Applicants whose native language is not English, and who have not completed a degree at an institution where English is the sole language of instruction, must demonstrate proficiency via one of the following standardized tests. Scores must be sent directly from the testing agency.

TOEFL iBT: Minimum score of 100 (with minimum subscores of 23 in each section recommended). Our institution code is 1234.
IELTS Academic: Minimum overall band score of 7.0 (with minimum subscores of 6.5 recommended).
Duolingo English Test (DET): Minimum score of 125 (or higher depending on program).

Score reports should generally be no more than two years old at the time of application. Waivers may be considered under specific circumstances (e.g., completed degree in an English-speaking country). Please inquire with the admissions office.

Academic Credential Evaluation

Applicants who completed their prior education outside the United States must submit official academic transcripts, diplomas, and/or degree certificates.

All documents not originally issued in English must be accompanied by certified, literal English translations.
A course-by-course credential evaluation from a recognized evaluation service (e.g., WES, ECE, SpanTran) is typically required, especially for graduate applicants, to verify degree equivalency and calculate a GPA on a 4.0 scale. Please check specific program requirements.

Visa Information (Post-Admission)

Once admitted, international students requiring a student visa (typically F-1) to study in the U.S. will receive comprehensive support from our International Student & Scholar Services (ISSS) office. This includes:

Guidance on obtaining the Form I-20 ("Certificate of Eligibility for Nonimmigrant Student Status").
Information on demonstrating sufficient financial resources to cover tuition, fees, and living expenses.
Instructions for paying the SEVIS I-901 fee.
Support for the F-1 visa application and interview process at a U.S. embassy or consulate.
Pre-arrival orientation and ongoing support upon arrival.

Note: Application deadlines for international students may be earlier than domestic deadlines to allow sufficient time for visa processing. Please check specific program deadlines carefully.

Start Your Application Contact International Admissions

Important Application Dates

Plan your application timeline effectively

Undergraduate Application Deadlines (for Fall 2026 Entry)

Early Decision: November 1, 2025
Early Action: December 1, 2025
Regular Decision: January 15, 2026
Transfer Applications: March 15, 2026

Graduate Application Deadlines

Fall 2026 Priority Deadline: December 15, 2025
Fall 2026 Regular Deadline: January 31, 2026 (Some programs may have earlier deadlines, check specific program page)
Spring 2026 Deadline (Select Programs Only): September 15, 2025

Professional Certificate Deadlines (Rolling Admissions)

Applications are reviewed on a rolling basis. Apply at least 4-6 weeks before your desired start date:

Fall Cohort Start: ~September
Winter Cohort Start: ~January
Spring Cohort Start: ~April
Summer Cohort Start: ~June

Note: International applicants are strongly encouraged to apply by the priority or earliest deadlines to allow ample time for visa processing. All deadlines are subject to change; please verify on the official admissions website.

Ready to Apply?

Take the first step toward becoming part of our innovative AI education community. Review the application steps and start your journey today.

How to Apply Guide Start Online Application

Estimated Costs of Attendance (2025-2026)

The following figures provide an estimate for full-time students. Actual costs may vary based on program, enrollment status, and personal expenses.

Undergraduate Students (Full-Time, Per Academic Year)

Cost Component	Estimated Cost	Notes
Tuition	$58,500	Based on standard full-time enrollment (12-18 credits per semester).
Mandatory Fees	$1,800	Includes student activity, technology, health services fees.
On-Campus Housing	$12,000 - $16,000	Varies based on room type and residence hall.
Meal Plan	$6,500 - $7,500	Varies based on plan selection. Required for most on-campus residents.
Books & Supplies	$1,200	Estimated cost for textbooks and course materials.
Personal Expenses	$2,500	Estimate for transportation, clothing, entertainment, etc.
Estimated Total (On-Campus)	$82,500 - $87,500	Does not include travel or health insurance (if required).

Graduate Students (Full-Time, Per Academic Year)

Costs vary significantly by program (e.g., MS Machine Learning, MS AI Ethics). Below are general estimates; refer to specific program pages for precise figures.

Cost Component	Estimated Cost Range	Notes
Tuition (Technical Programs)	$45,000 - $55,000	Based on full-time enrollment, varies by program credits.
Tuition (Non-Technical Programs)	$40,000 - $50,000	E.g., AI Ethics & Governance.
Mandatory Fees	$1,500 - $2,000	Includes graduate student fees, technology access.
Living Expenses (Off-Campus Estimate)	$22,000 - $28,000	Rent, food, utilities, personal expenses. Highly variable based on lifestyle and location (Sunland Park area).
Books & Supplies	$800 - $1,500	Varies by program and course requirements.
Estimated Total (Excluding Housing/Living)	~$47,300 - $58,500	Add estimated living expenses for full cost of attendance.

Professional Certificates (Per Program)

Certificate programs are typically priced per program or per course module.

Certificate Program	Estimated Total Cost	Format
AI Applications for Business	$8,000	Online, Part-time
Machine Learning Engineering	$9,500	Online, Part-time
Foundations of AI Ethics	$4,500	Online, Part-time

Costs are subject to change. Payment plans may be available.

Important Notes:

Costs are estimates for the 2025-2026 academic year and are subject to change.
International students may have additional costs related to visas, travel, and mandatory health insurance.
Part-time enrollment tuition is typically calculated on a per-credit basis.
Financial aid and scholarships can significantly reduce the net cost of attendance.

Financial Aid & Scholarships

Making AI Education Accessible

International Schools is committed to enrolling talented students regardless of their financial background. We offer a comprehensive financial aid program including need-based grants, merit-based scholarships, research/teaching assistantships (for graduate students), and guidance on external funding sources and loans.

Types of Aid Available:

Need-Based Grants: Awarded based on demonstrated financial need, determined through the FAFSA (for US citizens/eligible non-citizens) and the CSS Profile (for all applicants seeking institutional aid).
Merit Scholarships: Awarded based on academic achievement, test scores (if submitted), leadership potential, and other talents demonstrated in the application. All applicants are automatically considered.
Graduate Assistantships: Research Assistant (RA) and Teaching Assistant (TA) positions available for qualified graduate students, often including tuition remission and a stipend.
External Scholarships: We encourage students to seek scholarships from external organizations and provide resources to aid in the search.
Federal Student Loans: Available to eligible US students through the FAFSA.
Private Loans: Options available through various lenders; careful consideration of terms is advised.

How to Apply for Aid:

Complete the Free Application for Federal Student Aid (FAFSA) if you are a US citizen or eligible non-citizen: Use school code 00XXXX.
Complete the CSS Profile if applying for institutional need-based aid (required for both domestic and international students seeking institutional grants): Use school code XXXX.
Submit any additional required financial documentation as requested by the Financial Aid office (e.g., tax returns, non-custodial parent information).
Meet all financial aid application deadlines (often earlier than admission deadlines).

Contact Financial Aid Office FAFSA Website CSS Profile

Calculate Your Estimated Cost

Use our Net Price Calculator (for undergraduate US students) or contact our Financial Aid office for personalized assistance in understanding your potential costs and aid eligibility.

Net Price Calculator Contact Financial Aid

Application Process Overview

Follow these steps to submit your application for admission.

Step 1: Choose Your Program & Review Requirements

Carefully review the specific program details and admission requirements for your chosen level (Undergraduate, Graduate, Certificate) and area of study.

Visit the Programs page for details on curriculum and focus areas.
Consult the Admission Requirements page for necessary qualifications, deadlines, and prerequisites.

Step 2: Prepare Application Materials

Gather all required documents well in advance of the deadline. Common materials include:

Academic Transcripts (official copies required upon admission).
Standardized Test Scores (SAT/ACT/GRE - check if required/optional for your program).
English Language Proficiency Scores (TOEFL/IELTS/DET for non-native speakers).
Letters of Recommendation (request these early!).
Personal Statement / Statement of Purpose.
CV / Resume.
Writing Sample (for specific programs like AI Ethics).
Portfolio (if applicable, e.g., for specific research roles or projects).

Step 3: Complete the Online Application Form

All applications must be submitted through our secure online application portal. Create an account and carefully fill out all required sections.

Access the portal via the "Start Online Application" link below.
You can save your progress and return later to complete the application.
Ensure all information is accurate and complete before final submission.
The form will guide you through personal information, academic history, experiences, essays, and recommender details.

Step 4: Submit Application Fee

A non-refundable application fee is required to process your application. Payment is made online via credit card at the time of submission.

Undergraduate Fee: $75 USD
Graduate Fee: $90 USD
Certificate Fee: $50 USD
Fee waivers are available for applicants demonstrating significant financial need. Request instructions within the application portal.

Step 5: Submit Supporting Documents

Ensure all supporting documents are submitted by the deadline. This includes:

Transcripts: Upload unofficial copies to the portal for initial review. Official transcripts sent directly from your previous institutions will be required upon admission and enrollment.
Test Scores: Have official scores sent directly from the testing agency (e.g., College Board, ETS, IELTS). Use our institution codes: SAT/ACT [1234], GRE [5678], TOEFL [9012].
Recommendations: Enter your recommenders' contact information in the portal. They will receive an email with instructions to submit their letters online confidentially. Monitor submission status through the portal.

Step 6: Complete & Submit Application

Review your entire application carefully for accuracy and completeness before submitting it electronically through the portal by the relevant deadline.

Step 7: Track Your Application Status

After submission, you can log back into the application portal to check the status of your application and verify receipt of supporting documents.

Allow several weeks for processing and review, especially during peak periods.
Admissions decisions are typically released according to the schedule outlined on the Requirements page (under Important Dates).
You will be notified via email when a decision is available in the portal.

Application Checklist

Use this checklist to ensure your application is complete:

Online Application Form Completed
Application Fee Paid (or Waiver Approved)
Personal Statement / Statement of Purpose Uploaded
CV / Resume Uploaded
Unofficial Transcripts Uploaded
Recommenders Invited / Letters Submitted
Official Test Scores Sent (if applicable)
English Proficiency Scores Sent (if applicable)
Writing Sample / Portfolio Uploaded (if applicable)

Start Your Application

Complete the form below to begin your journey with International Schools. Please note this is a simplified demonstration form.

Personal Information

Full Name *

Email Address *

Phone Number

Date of Birth *

Program of Interest

Level of Study *

Specific Program *

Intended Start Term *

Academic Background

Most Recent Institution Attended *

Degree Earned / Expected

GPA (or equivalent)

Verification *

Incorrect code. Please try again.

Frequently Asked Questions

When are application deadlines?

Deadlines vary by program level. Please refer to the "Important Dates" section on the Admission Requirements page for specific dates.

Can I apply to more than one program?

You may typically apply to only one degree program per admission cycle. If you are interested in multiple programs, please contact the admissions office to discuss your options.

Are interviews required?

Interviews are generally not required for most programs, but may be requested by the admissions committee in certain cases, particularly for some graduate programs or scholarship considerations.

How do I request an application fee waiver?

Information and instructions for requesting a fee waiver based on financial need are available within the official online application portal (link provided in Step 3).

Have more questions? Contact Admissions.

Latest News

Updates on our research, educational initiatives, and institutional achievements

April 10, 2025

International Schools Launches New AI for Climate Initiative

International Schools today announced the launch of its groundbreaking "AI for Climate Action" initiative, a major interdisciplinary research program dedicated to leveraging artificial intelligence to combat climate change. Supported by an initial $5 million in funding from a consortium of philanthropic foundations and industry partners, the initiative aims to accelerate the development and deployment of AI-driven solutions for environmental sustainability.

The program will focus on key areas including: improving climate modeling accuracy using deep learning, optimizing renewable energy grids with reinforcement learning, developing AI-powered systems for monitoring deforestation and biodiversity loss, and designing novel materials for carbon capture through generative models. The initiative will unite researchers from IS's AI Engineering, Data Science, and Applied AI departments with experts in climate science and environmental policy.

"Artificial intelligence offers powerful tools to understand and mitigate the climate crisis," said Dr. Anya Sharma, Vice President for Research. "This initiative underscores our commitment to directing AI innovation towards humanity's most pressing challenges. We are creating a collaborative hub where cutting-edge AI meets critical environmental needs."

The AI for Climate Action initiative will also create new research opportunities for graduate students and postdoctoral fellows, and integrate relevant case studies into the university's curriculum. The first research projects are expected to commence in Summer 2025.

May 5, 2025

Annual AI Symposium: Registration Now Open for "AI & Society"

Registration is officially open for the 2025 International Schools Annual AI Symposium, taking place June 15-17 on our main campus and virtually. This year's theme, "AI & Society: Navigating the Future Together," will explore the complex interplay between artificial intelligence advancements and their societal, ethical, and economic impacts.

The symposium promises three days of insightful keynotes, engaging panel discussions, hands-on technical workshops, and valuable networking opportunities. We are thrilled to welcome confirmed keynote speakers including Dr. Helen Zhao (AI Global Initiative) and industry leader Mark Jennings (QuantumLeap AI). Session tracks will cover topics such as AI governance, the future of work, algorithmic bias, AI in creative industries, and trustworthy AI systems.

"Our symposium serves as a vital platform for cross-sector dialogue," noted Provost James Chen. "Bringing together researchers, industry practitioners, policymakers, and ethicists is crucial for charting a responsible course for AI development."

Early bird registration discounts are available until May 25, 2025. Special rates apply for students, alumni, and non-profit attendees. Visit the symposium website for the full agenda and registration details.

Visit Symposium Website & Register

March 25, 2025

Faculty Team Receives $3.5M Grant for AI in Early Disease Detection

A multidisciplinary team led by Dr. Michael Carter (AI Engineering) and Dr. Emily Rodriguez (Applied AI) has been awarded a prestigious $3.5 million grant from the National Health Innovation Fund. The five-year grant will support their research into developing sophisticated AI algorithms for the early detection and diagnosis of complex diseases.

The project, titled "Predictive AI for Proactive Healthcare (PAIPH)," aims to create machine learning models capable of identifying subtle, early-stage patterns in diverse patient data, including medical imaging, electronic health records (EHR), and genomic information. The initial focus will be on improving early detection rates for specific types of cancer and neurodegenerative diseases, where timely intervention significantly impacts patient outcomes.

"Current diagnostic methods often detect diseases only after significant progression," explained Dr. Carter. "Our goal is to build AI tools that act as vigilant assistants to clinicians, highlighting potential risks much earlier and enabling more effective, personalized prevention strategies."

The project involves collaboration with clinical partners at three major medical centers and will provide significant research opportunities for IS graduate students and postdoctoral researchers. The team plans to address critical aspects of model interpretability and fairness to ensure the developed tools are trustworthy and equitable.

Upcoming Events

Join us for conferences, workshops, seminars, and community activities

15

JUN

Annual AI Symposium: Day 1

Main Campus & Virtual 9:00 AM - 5:00 PM

Kick-off of the IS Annual AI Symposium "AI & Society". Keynotes, panels, and workshops exploring AI's impact.

View Schedule

16

JUN

Annual AI Symposium: Day 2

Main Campus & Virtual 9:00 AM - 5:00 PM

Focus on technical tracks, AI governance debates, and industry showcases at the AI Symposium.

View Schedule

17

JUN

Annual AI Symposium: Day 3 & Closing Reception

Main Campus & Virtual 9:00 AM - 6:00 PM

Final workshops, student poster sessions, future outlook panels, and closing networking reception.

View Schedule

28

JUN

Workshop: Explainable AI (XAI) Techniques

AI Lab, Room 205 & Online 1:00 PM - 4:00 PM

Hands-on workshop covering methods like LIME, SHAP, and attention visualization to understand and interpret complex AI models.

Register

10

JUL

Guest Lecture: AI in Drug Discovery

Main Auditorium 4:00 PM - 5:30 PM

Dr. Lena Petrova from BioGen AI discusses how machine learning is accelerating the identification and development of new therapeutics.

More Info

22

JUL

AI Startup Pitch Competition Finals

Innovation Hub 2:00 PM - 5:00 PM

Watch IS student and alumni entrepreneurs pitch their AI-driven startup ideas to a panel of venture capitalists and industry experts.

RSVP

Check back soon for events in future months!

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Why Join International Schools?

Be part of a dynamic, mission-driven institution at the forefront of AI

At International Schools, you'll find more than just a job – you'll discover a vibrant community dedicated to advancing artificial intelligence responsibly and educating the next generation of leaders. As a pioneering institution founded in 2020, we offer a unique opportunity to make a tangible impact in a rapidly growing field.

Our Culture & Values:

Innovation: We encourage creative thinking and exploration of new frontiers in AI.
Collaboration: We foster interdisciplinary teamwork among faculty, researchers, staff, and students.
Excellence: We strive for the highest standards in teaching, research, and operations.
Ethics: We are deeply committed to the responsible and ethical development and deployment of AI.
Diversity & Inclusion: We believe diverse perspectives fuel innovation and create a richer learning environment.
Impact: We aim for our work to have a positive and lasting impact on society.

Benefits & Perks

We invest in our people

Comprehensive Health

Medical, dental, and vision insurance plans for you and your eligible dependents.

Retirement Savings

Generous employer-matched 401(k) or equivalent retirement plan options.

Tuition Assistance

Significant tuition benefits for employees pursuing further education at IS, plus benefits for dependents.

Professional Development

Funding and support for conferences, workshops, certifications, and continuous learning.

Generous Paid Time Off

Competitive vacation, sick leave, and holiday schedule to support work-life balance.

Collaborative Environment

Work alongside leading AI experts in a stimulating and supportive atmosphere.

Current Openings

Explore available faculty, research, and staff positions

Faculty

Assistant/Associate Professor of Machine Learning

Seeking tenure-track faculty with expertise in core ML, deep learning, reinforcement learning, or related areas. Responsibilities include research, teaching, and service.

Sunland Park Campus Full-time

Research

Postdoctoral Researcher - AI Ethics

Two-year position focusing on algorithmic fairness, accountability, and transparency in AI systems. Collaborate on funded projects within the AI Ethics & Policy group.

Sunland Park Campus Full-time Contract

Administration

Admissions Counselor

Join our dynamic admissions team to recruit and advise prospective students for our undergraduate and graduate programs. Requires excellent communication skills.

Sunland Park Campus Full-time

Technical

AI Lab Systems Administrator

Manage and maintain high-performance computing resources, software environments, and infrastructure for our AI research labs. Linux and cloud experience essential.

Sunland Park Campus Full-time

Faculty

Lecturer - Data Science Fundamentals

Non-tenure track position to teach introductory data science and programming courses to undergraduate students. Master's degree required, PhD preferred.

Sunland Park / Hybrid Full-time (Academic Year)

Administration

Program Coordinator - Professional Certificates

Manage logistics, student support, and outreach for our online professional certificate programs. Strong organizational and communication skills needed.

Remote / Sunland Park Full-time