Overview

The MS in Machine Learning is part of CMU's Machine Learning Department, which is made up of a multi-disciplinary team of faculty and students across several academic departments. Machine learning is dedicated to furthering the scientific understanding of automated learning, and to producing the next generation of tools for data analysis and decision making based on that understanding.

Today's demand for expertise in machine learning far exceeds the supply, and this imbalance will become more severe over the coming decade. The MS program in Machine Learning offers students with a Bachelor's degree the opportunity to improve their training with advanced study in Machine Learning. Incoming students should have good analytic skills and a strong aptitude for mathematics, statistics, and programming. An undergraduate degree in computer science is not required.

The program consists primarily of coursework, with a very limited research component. Students that complete the MS program are welcome to apply to the PhD program, but will not receive preferential treatment.

Mission

The Carnegie Mellon University mission is to create a transformative educational experience for students focused on deep disciplinary knowledge; problem solving; leadership, communication, and interpersonal skills; and personal health and well-being.

To cultivate a transformative university community committed to :

attracting and retaining diverse, world-class talent;
creating a collaborative environment open to the free exchange of ideas, where research, creativity, innovation, and entrepreneurship can flourish
ensuring individuals can achieve their full potential.

To impact society in a transformative way — regionally, nationally, and globally — by engaging with partners outside the traditional borders of the university campus.

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 102 other Masters in Machine Learning in United States

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Academic requirements

GRE^®

161 _(verbal)

169 _{(quantitative)}

4 _(analytical)

English requirements

TOEFL^® IBT

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IELTS

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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

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.

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Scholarships Information

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

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

On this page

About

Overview

Mission

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

Scholarships Information

Available Scholarships

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