What is the fee of registering for the TOEFL iBT Paper Edition?

Applicants who choose to take the TOEFL iBT Paper Edition must pay an amount of INR 16,900 for registering, which is the same for TOEFL iBT.

How many times is the TOEFL iBT Home Edition conducted in a month?

The TOEFL iBT Paper Edition is offered once or twice every month.

As the TOEFL iBT exam is conducted in two sessions, do I have to book two dates or one?

You need to schedule two appointments when you register: one at your neighbourhood testing facility and the other at your house.

In some places, why is the duration of the first session of TOEFL iBT Paper Edition written as three and half hours? What is the actual duration?

The test duration at a centre is three hours. An additional thirty minutes is allocated for test administration tasks, such as admitting examinees, allowing them to input identifying information, and managing test materials.

Are there any special requirements for the Speaking section of the TOEFL iBT Paper Edition?

As the Speaking section is conducted from home, please ensure that you have the required setup for both the equipment and environment before registering. You will get the details from the official website.

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TOEFL Scores Needed for AI & ML Courses Abroad

TOEFL iBT® Scores Needed for AI/ML Courses Abroad

Akanksha Tripathi

4 min read

Updated On September 14, 2025

"Planning to study AI or ML abroad? Here's the TOEFL score you need and how it fits into your tech-focused academic journey."

Key Highlights

Minimum TOEFL Score Requirements for AI & ML Programs Abroad
Top Universities Offering AI & ML Programs with TOEFL Requirements
General Admission Requirements for AI & ML Courses
Why TOEFL is Important for AI & ML Courses Abroad
Tips to Score High in TOEFL for AI & ML Admissions

Artificial Intelligence (AI) and Machine Learning (ML) are among the fastest-growing fields in today’s digital world. Universities across the USA, UK, Canada, Germany, and other top study-abroad destinations offer cutting-edge AI & ML programs, attracting international students who want to build careers in data science, automation, and robotics. Since most of these programs are taught in English, proving English proficiency is a must. The TOEFL iBT is one of the most widely accepted exams, and your score plays a big role in securing admission.

In this blog, we’ll explore the minimum TOEFL score requirements for AI & ML courses abroad, general admission requirements, top universities, and tips to achieve a competitive score.

Minimum TOEFL Score Requirements for AI & ML Programs Abroad

Different countries and universities have varying TOEFL score expectations. While the minimum ranges between 79–100, top AI & ML programs usually prefer higher scores for competitive admission. Here’s a quick overview:

Country	Minimum TOEFL iBT Score	Competitive Range
USA	80	95–105
UK	79	90–100
Canada	83	90–100
Germany	79	85–95
Australia	79	90–100

Top Universities Offering AI & ML Programs with TOEFL Requirements

If you’re planning to pursue AI & ML abroad, here are some of the most popular universities and their TOEFL score expectations:

University	Country	Minimum TOEFL iBT Score
Stanford University	USA	100
Carnegie Mellon University	USA	102
University of Toronto	Canada	89
University of Cambridge	UK	100
Technical University of Munich (TUM)	Germany	88
Australian National University	Australia	85

General Admission Requirements for AI & ML Courses

TOEFL is just one part of the admission process. To get into AI & ML programs, you’ll also need to meet these general requirements:

Requirement	Details
Academic Background	Bachelor’s degree in computer science, mathematics, engineering, or related fields. For undergrad, strong grades in math and science.
TOEFL iBT Score	Minimum 79–100; competitive programs expect 95+.
GRE/GMAT (for PG)	Many universities require GRE scores for MS in AI/ML.
Coding Knowledge	Strong programming skills in Python, R, Java, or C++ are often expected.
Letters of Recommendation	Usually 2–3 letters from professors or professionals in tech.
Statement of Purpose (SOP)	Explains your interest in AI/ML, career goals, and research areas.
Resume / CV	Showcasing projects, internships, and technical skills.
Portfolio (if applicable)	For some programs, a portfolio of ML/AI projects can strengthen your application.

Why TOEFL is Important for AI & ML Courses Abroad

Studying AI and ML requires not only technical knowledge but also excellent communication skills. Professors expect students to write research papers, present findings, and participate in group projects. A strong TOEFL score shows that you can:

Understand complex research articles and datasets.
Follow technical lectures and discussions.
Explain projects clearly during presentations.
Write research-based essays and reports.

This is why universities often set higher TOEFL cutoffs for AI & ML programs compared to general courses.

Tips to Score High in TOEFL for AI & ML Admissions

Securing admission in AI & ML abroad requires strong preparation for TOEFL. Here are some detailed tips to help you score well:

1. Build a Technical Vocabulary

Since AI & ML programs involve scientific and mathematical content, practice reading technical blogs, coding articles, and research papers. This will help you handle the academic vocabulary used in TOEFL Reading and Listening sections.

2. Focus on Reading Academic Texts

TOEFL Reading passages are similar to research-based texts. Read AI journals, case studies, and technology magazines to practice identifying main arguments, data interpretations, and inferences.

3. Practice Listening to Tech Lectures

AI & ML programs often include lectures filled with technical terms. To prepare, listen to university lectures, AI/ML podcasts, or TED Talks. Practice summarizing the main points and supporting details to strengthen Listening skills.

4. Improve Speaking with Project Explanations

The TOEFL Speaking section tests your ability to explain ideas clearly. Practice speaking about your AI or coding projects in simple English. Record yourself explaining how a machine learning model works and check for clarity, grammar, and fluency.

5. Write Structured Essays

TOEFL Writing often requires integrating reading and listening into a well-organized essay. Practice writing on AI-related topics, such as “Impact of Artificial Intelligence on Jobs” or “Ethics of Machine Learning.” This helps you get comfortable with academic writing.

6. Take Mock Tests Regularly

Simulate real exam conditions by timing yourself. Full-length TOEFL mock tests help build speed, endurance, and familiarity with the test format.

7. Track Weak Areas and Improve

After every practice test, analyze your performance. If Listening is weaker than Reading, dedicate extra practice to lectures and conversations.

8. Use Official TOEFL Prep Materials

Stick to ETS-approved TOEFL resources. These replicate the exam format better than general English books and prepare you for integrated tasks.

AI and ML are shaping the future of technology, and studying these fields abroad can open doors to global career opportunities. To secure admission, aim for a TOEFL iBT score between 95–105, especially for top universities in the USA, UK, and Canada. Combine this with a strong academic background, coding expertise, and research interests, and you’ll be well-prepared for admission to the best AI & ML programs worldwide.