Overview

The Master's in Machine Learning at Carnegie Mellon University is a rigorous academic programme designed for students who hold a bachelor's degree and wish to deepen their technical expertise. This curriculum focuses on the core principles and advanced applications of automated learning systems, preparing graduates for high-level roles in technology and research. Candidates are expected to demonstrate exceptional analytical abilities and a solid foundation in statistics and mathematics.

The educational experience is primarily driven by intensive coursework, though students are encouraged to participate in research projects alongside world-leading faculty. By combining theoretical study with practical implementation, the programme ensures that students can navigate the complexities of modern data environments.

Why Machine Learning at Carnegie Mellon University?

Carnegie Mellon University has been a global leader in artificial intelligence and computational education since the inception of the field. The Machine Learning Department, housed within the School of Computer Science, offers an unparalleled environment for innovation and interdisciplinary collaboration. Students benefit from access to pioneering researchers and a curriculum that translates theoretical breakthroughs into real-world impact.

Tuition Fee Breakdown

International fee: USD 60400 per year
National fee: USD 60400 per year
Local fee: USD 60400 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum requires the completion of six core courses, three elective subjects, and a professional practicum. The modules are designed to provide a comprehensive understanding of both the mathematical foundations and the practical deployment of learning algorithms.

Core modules include:

Machine Learning
Deep Learning
Probabilistic Graphical Models
Machine Learning in Practice
Optimization for Machine Learning
Probability and Mathematical Statistics

Elective modules may include:

Machine Learning With Large Datasets
Natural Language Processing
Machine Learning With Graphs
Computer Vision
Regression Analysis
Graduate Artificial Intelligence
Multimedia Databases and Data Mining
Statistical Theory
Independent Study

In addition to formal classroom instruction, students must complete a full-time practicum. This typically takes the form of a summer internship or a dedicated research project, allowing for the application of academic theories in a professional or laboratory setting.

Careers with Machine Learning

Graduates from this programme are highly sought after for their ability to create and study algorithms that enable systems to improve through experience. The skills developed are essential for industries dealing with "Big Data" problems, including natural language processing, robotics, and computational biology. Many students progress into roles within the global tech industry or continue their academic journey by pursuing a PhD in related disciplines.

Programme Structure

Courses include:

Machine Learning

Statistical Machine Learning

Intermediate Statistics

Probabilistic Graphical Models

Convex Optimization

Multimedia Databases and Data Mining

Algorithms

Algorithms in the Real World

Key information

Duration

Full-time
- 24 months

Start dates & application deadlines

Starting 2026-08-25 00:00:00

Application deadline not specified.

Language

English

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Credits

30 alternative credits

Carnegie Mellon has adopted the method of assigning a number of “units” for each course to represent the quantity of work required of students.

Delivered

On Campus

Campus Location

Pittsburgh, United States

Disciplines

Machine Learning View 103 other Masters in Machine Learning in United States

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Academic requirements

GRE^®

161 _(verbal)

169 _{(quantitative)}

4 _(analytical)

English requirements

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Other requirements

General requirements

Test Scores

Transcripts

Resume

Statement of Purpose

Letters of Recommendation

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

60400 USD / year

≈ 60400 USD / year
Out-of-State

60400 USD / year

≈ 60400 USD / year
Domestic

Applies to you

In-State

60400 USD / year

≈ 60400 USD / year

Living costs

Pittsburgh

United States

1148 - 1944 USD / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Financing

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Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

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Scholarships Information

Below you will find Master's scholarship opportunities for Machine Learning.

Available Scholarships

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About

Overview

Programme Structure

Key information

Duration

Start dates & application deadlines

Language

Prepare for Your English Test

Credits

Delivered

Campus Location

Disciplines

What students do after studying

Academic requirements

English requirements

Prepare for Your English Test

Other requirements

General requirements

Tuition Fees

International Applies to you

Domestic

Living costs

Pittsburgh

Financing

Funding

Need help with your student visa?

Scholarships Information

Available Scholarships

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