Studyportals

Machine Learning

Carnegie Mellon University

M.Sc. On Campus
24 months
Duration
50100 USD/year
50100 USD/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The Machine Learning Department is an academic department within Carnegie Mellon University School of Computer Science. We focus on research and education in all areas of statistical machine learning. 

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:

  • 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

Key information

Duration

  • Full-time
    • 24 months

Start dates & application deadlines

Language

English

Credits

30 alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA Your GPA, or Grade Point Average, is a number that indicates how well or how high you scored in your courses on average. Usually a GPA scales between 1.0 and 4.0, however different countries and universities can have different grading systems.
3.9 (recommended)
GRE admission requirements GRE® The GRE® General Test is a widely administered admissions test that measures the skills needed in today's graduate and business school programs worldwide. It contains three sections - Verbal Reasoning, Quantitative Reasoning, and Analytical Writing. Three scores are reported: a Verbal Reasoning score on a 130 - 170 score scale in one-point increments, a Quantitative Reasoning score on a 130 - 170 score scale in one-point increments, and an Analytical Writing score on a 0 - 6 score scale in half-point increments.
161 (verbal)
169 (quantitative)
4 (analytical)

English requirements

TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at designated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
84
IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).
7

Other requirements

General requirements

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

Tuition Fee

  • International

    50100 USD/year
    Tuition Fee
    Based on the original amount of 50100 USD per year and a duration of 24 months.
  • National

    50100 USD/year
    Tuition Fee
    Based on the original amount of 50100 USD per year and a duration of 24 months.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last 9 months

Check the official programme website for potential updates.

Machine Learning
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Carnegie Mellon University

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