Overview

Students at Carnegie Mellon University in this track will be involved in courses and research from both the Departments of Statistics and Machine Learning.

This unique program blends the power of statistics with cutting-edge machine learning, preparing students to tackle complex challenges at the intersection of both fields.

By engaging in interdisciplinary research and coursework across two dynamic departments, students gain a rich, dual perspective that equips them to drive innovation in data science. With access to leading experts, state-of-the-art resources, and diverse research opportunities, this program offers a rare opportunity to push the boundaries of statistical and machine learning knowledge. Graduates leave with the skills and expertise to lead in academia, industry, or beyond.

Features

During the first year, students will normally be situated in and supported by the Department of Statistics. During later years, students will be located in the Department of their primary advisor.

Students will be granted the joint degree if they meet TWO sets of program requirements corresponding to the TWO departments, namely the ML Ph.D. Requirements and the Statistics Ph.D. Requirements, as we present next.

Programme Structure

Courses include:

Statistics

Machine Learning

Statistical Computing

Statistical Immigration

Statistical Machine Learning

Key information

Duration

Full-time
- 120 months

Start dates & application deadlines

Starting 2027-08-24 00:00:00
- Apply before 2026-12-01 00:00:00

Language

English

Delivered

On Campus

Campus Location

Pittsburgh, United States

Disciplines

Statistics Machine Learning View 13 other PhDs in Machine Learning in United States

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

undergraduate and graduate transcripts; DO NOT mail us the official transcripts unless you are offered admission

a statement of purpose

three recommendation letters uploaded by recommenders

(optional) scores from the GRE General test (with mailed official scores). Our GRE codes are 2074 (Institution) and 0705 (Department). Update: For the application cycle starting Fall 2022, the GRE test is not required for application to the Statistics PhD program. You may still report the score if you wish. GRE scores are currently required for applications to the joint programs.

scores from the TOEFL test (with mailed official scores) for students whose native language is not English.

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

53000 USD / year

≈ 53000 USD / year
Out-of-State

53000 USD / year

≈ 53000 USD / year
Domestic

Applies to you

In-State

53000 USD / year

≈ 53000 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.

Funding

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Scholarships Information

Below you will find PhD's scholarship opportunities for Statistics and Machine Learning.

Available Scholarships

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

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