CMU Machine Learning Masters Acceptance Rate

Last Updated on May 18, 2022

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The MSAII program is highly competitive, with a typical acceptance rate of about ten percent. Qualified applicants generally have a bachelor’s degree in computer science or a related field. Regardless of your undergraduate major, a strong background in computer science and mathematics is a prerequisite for acceptance.

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Overview of CMU Machine Learning Masters Acceptance Rate

Primary MS in Machine Learning - Machine Learning - CMU - Carnegie Mellon  University

CMU’s graduate programs are recognized worldwide for their high standards and distinguished alumni. Our world-renowned machine learning masters program is no exception. This comprehensive program will give you the rigorous foundation you need to break into this exciting field. Ranked 8th in the nation by the Wall Street Journal.

Eligibility and Application Requirements

To be eligible for the MS degree in Computer Science at the Carnegie Mellon University, applicants must meet the following requirements:

  • Possess satisfactory GRE scores.
  • Submit a TOFEL score with a minimum score of 100 on the IBT.
  • Copies of most recent transcripts from previous universities/colleges attended.
  • A statement of purpose.
  • Three recommendation letters.

CMU Machine Learning Masters Acceptance Rate

Over 27,000 high-achieving teens applied to be part of Carnegie Mellon’s Class of 2024—17% were accepted. The vast majority of successful applicants had pristine transcripts and SATs of 1500 or better. Selectivity at this school, which is named after two famous/infamous Captains of Industry/Robber Barons is nothing new, but it has reached previously unimaginable levels in recent years. In the 1980s, the acceptance rate hovered between 42-46% and the average SAT was just a shade over 1200. By the year 2000, the school received over 14,000 applications each cycle and admitted 36%.

What is the acceptance rate for CMU computer science?Carnegie Mellon Acceptance Rate – Class of 2024

CollegeAcceptance Rate
Information Systems24%
Mellon College of Science22%
School of Computer Science7%
Tepper School of Business23%

Carnegie Mellon Machine Learning

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 Ultimate Guide to Applying to Carnegie Mellon

Carnegie Mellon Machine Learning Study Plan

Courses include:

  • Introduction to Machine Learning
  • Statistical Machine Learning
  • Intermediate Statistics
  • Probabilistic Graphical Models
  • Convex Optimization
  • Multimedia Databases and Data Mining
  • Algorithms
  • Algorithms in the Real World

Academic requirements Carnegie Mellon Machine Learning

GPA3.9 (recommended)GRE®161 (verbal)169 (quantitative)(analytical)Schedule GRE®

English requirements

TOEFL IBT 84

IELTS 7

General requirements
  • Test Scores
  • Transcripts
  • Resume
  • Statement of Purpose
  • Letters of Recommendation

cMU machine learning department Typical Schedule

A typical schedule for a student in the program might be:

  1. Fall semester, year 1: 10-701 or 10-715 Intro to Machine Learning + 36-700 or 36-705 Statistics + a Menu Core course.
  2. Spring semester, year 1: 10-716 New Statistical Machine Learning + 10-718 Data Analysis + a Menu Core course.
  3. Summer semester, year 1: Practicum (internship or research related to Machine Learning).
  4. Fall semester, year 2: A Menu Core course + 2 Elective courses.

As the schedule shows, the MS in Machine Learning can be completed in three semesters by a motivated and well-prepared student. However, many students finish in four semesters, spending the additional time on either research or filling in gaps in their undergraduate training.

CMU MS in Machine Learning Fees

The MS in Machine Learning program does not provide any financial support for this program and the student must pay tuition, student fees, and living expenses on their own.

CMU MS in Machine Learning Application

The Machine Learning Department uses the School of Computer Science (SCS) Graduate Online Application. You may apply for multiple programs at Carnegie Mellon using the same application, and the Machine Learning Department’s MS Admissions Committee will consider your application independently.

Applications are accepted only once a year. All students begin the program in August, having applied the previous December.

Carnegie Mellon University Ranking

Carnegie Mellon is a world-class, innovative university, rich in tradition and culture. Our interdisciplinary approach to education sharpens students’ problem-solving, critical thinking, analytical and quantitative skills. Carnegie Mellon is uniquely positioned at the crossroads of technology and humanity.

According to US News Rankings, the prestigious universities, the University of Pennsylvania and Carnegie Mellon University, are ranked as the top 2 colleges in Pennsylvania. Regarding prestige, it is ranked number 8 for best national universities, according to US News Rankings.

Carnegie Mellon is one of the most competitive private colleges or universities in the US, with a 21.70% acceptance rate, an average of 1465 on the SAT, an average of 33 on the ACT and a rough average unweighted GPA of 4 (unofficial).

Very High Value. Based on its reputation and cost, Carnegie Mellon University is a very high-value school, placing it in the top 10% of schools. Two major factors determine this. First, Carnegie Mellon has a strong reputation for its academic quality and is one of the more reputable schools in the country.

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