PhD in Applications of High-Dimensional Statistics at Carnegie Mellon University

Carnegie Mellon University

United States of America, Pittsburgh

University Rank:#52

Carnegie Mellon University offers the PhD of Applications of High-Dimensional Statistics as a full-time degree delivered on campus at its main campus in Pittsburgh , United States of America. Taught in English and completed over 4 years, the program equips students with the theoretical knowledge and practical skills required for applications of high-dimensional statistics and related professional fields. The next available intake begins on August 22, 2027.

About PhD in Applications of High-Dimensional Statistics

Modern data in settings such as e-commerce, healthcare, and operations management are almost always complex and in high dimension. Recent computational and algorithmic advances have led to exciting opportunities to leverage this data for analysis and decision making â€” indeed, these opportunities have already come to fruition in the form of recommender systems, personalized medicine, and pricing. A critical component of this progress has been a set of probabilistic and statistical tools aimed specifically at high-dimensional settings, including concentration inequalities, minimax theory, and random matrix theory; these tools are precisely the subject of this course. In many applications, including the aforementioned examples, the data are most naturally represented as a set of matrices or tensors. This course will be largely focused on these settings: we will cover algorithms and major results for matrix estimation, and see recent results in the burgeoning field of tensor estimation. The ultimate goal of the course is to prepare students to apply these same tools in their own research.

Requirements and Admission Criteria for PhD in Applications of High-Dimensional Statistics at Carnegie Mellon University

Entry Requirements

GPA

3.41 Average

3.43 Median

3.03-3.76

Middle 80%

English Requirements

IELTSMin 7.5
TOEFLMin 102

English Program Requirements

Candidates are required to demonstrate a level of competence in English to meet the admissions requirements of the university. You are required to take a TOEFL, IELTS, or Duolingo exam unless:

You attended an undergraduate institution, earning a bachelor’s degree, where the sole language of instruction was English.
You earned a graduate degree where the sole language of instruction was English. (Although not required, we do recommend that you take the English Language Proficiency exam.)

You must request that the official score be sent from the testing agency to our program for us to verify the score entered into the application. Request that the official score be sent to us using the following codes:

TOEFL Program Code: Institutional Code = 2074; Departmental Code = 02
- Pro Tip: The recommended TOEFL score is 25 on each section of the Internet-based test. The minimum TOEFL scores required to apply for admission are: Reading: 20, Listening: 20, Speaking: 20, Writing: 20
IELTS Program Code: Select Carnegie Mellon and the Tepper School of Business
- Pro Tip: The recommended IELTS score is 7 overall and 7 in each band. The minimum IELTS scores required to apply for admission are: Listening: 7, Reading: 7, Writing: 7, Speaking: 7, Overall Band: 7
Duolingo Program Code: Select Carnegie Mellon University – Tepper School of Business
- Pro Tip: The recommended Duolingo English Test (DET) score is 120 overall

Pro Tip: TOEFL and IELTS scores are valid for two years and must be valid at the time you submit your application.

Pro Tip: If you earned a degree from a non-U.S. institution, your academic documents should state that the sole language of instruction for the entire university was English in order to be eligible for a TOEFL/IELTS/Duolingo waiver. If your academic documents don’t include this, you should upload an official letter from the University Registrar indicating English as the mode of instruction for the entirety of the degree.

Tuition and Fee Information for PhD in Applications of High-Dimensional Statistics at Carnegie Mellon University

Application Fee 75

PhD in Applications of High-Dimensional Statistics at Carnegie Mellon University

Carnegie Mellon University

United States of America, Pittsburgh