录取要求

Is a B.S. in Computer Science required for admission to the MIIS program?
An undergraduate degree in Computer Science, Computer Engineering, or a related scientific or technical discipline is preferred, but not required. Applicants must demonstrate that they have strong Computer Science skills, good math skills, and skills in statistics. We look for evidence that you have these skills. Course grades are the most typical form of evidence, but we also accept significant professional experience and other forms of evidence. Simply saying that you have been programming for many years is not sufficient.

申请材料清单

GRE scores: These must be less than five years old. The GRE Subject Test is not required, but is recommended. Our Institution Code is 2074; Department Code is 0402.
TOEFL scores: Required if English is not your native language. No exceptions. These scores may be more than two years old if you have pursued or are pursuing a bachelor's or graduate degree in the United States. (While the TOEFL is preferred, the IELTS test may also be submitted.) Successful applicants will have a minimum TOEFL score of 100. Our Institution Code is 4256; the Department Code is 78.
Official transcripts from each university you have attended, regardless of whether you received your degree there.
Current resume.
Statement of Purpose.

Three letters of recommendation.

In addition to the SCS guidelines, the LTI requires:

A short (1-3 minute) video of yourself. Tell us about you and why you want to come to CMU. This is not a required part of the application process, but it's strongly suggested.
Any outside funding you are receiving must be accompanied by an official award letter.

专业介绍

The MIIS degree focuses on recognizing and extracting meaning from text, spoken language and video. As an MIIS student, you’ll receive the department’s deepest exposure to content analysis and machine learning. In addition to completing the program’s coursework, you’ll work on directed study projects with your faculty advisor for two semesters; participate in a summer internship; and collaborate with your peers on a semester-long, group-oriented capstone project. This combination of classroom instruction, professional experience, and using new skills in significant projects with world-class colleagues will help prepare you for a successful career in industry or government. Our alumni have gone on to exciting careers at places like Apple, IBM and Google, and most have job offers within six weeks of graduation. Read more about our alumni on our intranet page.

The Intelligent Information Systems degree offers students the flexibility to create their own course of study in consultation with their advisor. Students must take at least 84 units (typically seven courses) of qualifying and elective courses that satisfy human language, machine learning, and language technology applications breadth requirements.

MIIS students gain three types of practical experience: 24 units of software development supervised by their advisor (equivalent to two courses); a one-semester internship (which can be waived for students that have sufficient prior professional experience); and a 42-unit capstone project done with classmates. This combination of working closely with CMU faculty, professional experience and group-oriented work with peers helps MIIS students broaden their skills quickly.

A typical MIIS student completes the program in four semesters (fall through fall, with a summer internship), but it can be completed in three if an internship is not required.

Part-time and distance education options are available in some cases. Students interested in these options should discuss them with the program director before they apply.

For a full list of requirements, read the MIIS Handbook.

推荐课程

• Machine Learning
• Search Engines
• Design and Engineering of Intelligent Systems Directed Study
• Language and Statistics
• Natural Language Processing
• Question Answering
• Directed Study
• MIIS Capstone Planning Seminar
• Machine Learning
• Algorithms for NLP
• Speech Recognition and Understanding
• Directed Study
• Applied Machine Learning
• Competitive Engineering
• Design and Implementation of Speech Recognition Systems
• Directed Study
• MIIS Capstone Planning Seminar