Master of Science in Intelligent Information Systems
 The Master's in Intelligent Information Systems (MIIS) program focuses on recognizing and extracting meaning from text, spoken language, and video.
 
 Overview
 The Master's in Intelligent Information Systems 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.
 Requirements
 The Intelligent Information Systems degree offers students the flexibility to create their own course of study in consultation with their advisor.
 
 MIIS students gain three types of practical experience: software development supervised by their advisor (24 units equivalent to two courses); a summer internship (which can be waived for students that have sufficient prior professional experience); and a capstone project executed in a group of peers (42 units equivalent to three 12-unit courses and one 6-unit course). This combination is proven to help IIS students to broaden their skills quickly. The MIIS degree is offered in two options:
 
 Option 1. Standard MIIS degree (MIIS-16) - A 16-month track that is completed in three academic semesters (fall, spring, fall) and a summer internship.
 
 Option 2. MIIS: Advanced Study degree (MIIS-21) - A 21-month track that is completed in four academic semesters (fall, spring, fall, spring) and a summer internship.
 
 MIIS: Advanced Study track offers an in-depth degree in one of the following areas of concentration:
 
 Human Language for Language Technologies
 Language Technology Application
 Machine Learning for Language Technologies
 Part-time education option is available in some cases.
 
 MIIS-16 students must take at least 84 units (typically 7 courses) of qualifying and elective courses that satisfy human language, machine learning, and language technology applications breadth requirements. MIIS-21 students have to take at least two more courses from the selected concentration area to satisfy their degree requirements, making it total of 108 units (typically 9 courses) of qualifying and elective courses, that also satisfy breadth requirements.
 
 For a full list of requirements, read the MIIS Handbook.
 
 Curriculum
 MIIS-16 
 
 Example Course of Study #1
 
 This schedule would satisfy course requirements for a student interested in text mining, text analytics and question-answering systems.
 
 Fall 1
 Machine Learning
 Search Engines
 Design and Engineering of Intelligent Systems\ Directed Study
 
 Spring
 Language and Statistics
 Natural Language Processing
 Question Answering
 Directed Study
 MIIS Capstone Planning Seminar
 
 Summer
 Internship
 
 Fall 2
 Machine Learning for Text Mining
 MIIS Capstone Project
 
 Example Course of Study #2
 
 This schedule would satisfy course requirements for a student interested in voice-based computer applications.
 
 Fall 1
 Machine Learning
 Algorithms for NLP
 Speech Recognition and Understanding
 Directed Study
 
 Spring
 Applied Machine Learning
 Competitive Engineering
 Design and Implementation of Speech Recognition Systems
 Directed Study
 MIIS Capstone Planning Seminar
 
 Summer
 Internship
 
 Fall 2
 Conversational Interfaces
 MIIS Capstone Project
 
 Example Course of Study #3
 
 This example would satisfy course requirements for a student interested in text mining, text analytics and question-answering systems who has petitioned to have the summer internship waived.
 
 Fall 1
 Search Engines
 Analysis of Social Media
 Design and Engineering of Intelligent Systems
 Directed Study
 
 Spring
 Machine Learning
 Natural Language Processing
 Question Answering
 Directed Study
 MIIS Capstone Planning Seminar
 
 Summer
 Academic Research Practices and Scientific Communities
 MIIS Capstone Project
 
 MIIS-21
 Example Course of Study #1
 
 This schedule would satisfy course requirements for a student interested in deepening their expertise in Machine Learning area of concentration.
 
 Fall 1	
 Search Engines
 Algorithms for NLP
 Intro to ML (MLD)
 MIIS Directed Study
 
 Spring 1	
 Question Answering
 Intro to Deep Learning
 MIIS Capstone Planning Seminar
 MIIS Directed Study
 
 Summer
 Internship
 
 Fall 2
 MIIS Capstone Project
 Applied ML
 
 Spring 2
 ML for Text Mining
 ML for Signal Processing
 Elective
 
  
 Example Course of Study #2
 
 This schedule would satisfy course requirements for a student interested in deepening their expertise in Language Technology Applications area of concentration.
 
 Fall 1
 Search Engines
 Algorithms for NLP
 Intro to ML (MLD)
 MIIS Directed Study
 
 Spring 1
 Question Answering
 Intro to Deep Learning
 MIIS Capstone Planning Seminar
 MIIS Directed Study
 
 Summer
 Internship
 
 Fall 2
 MIIS Capstone Project
 Machine Translation
 
 Spring 2
 Comp Semantics for NLP
 Neural Networks for NLP
 Elective
 
 Example Course of Study #3
 
 This example would satisfy course requirements for a student interested in deepening their expertise in Human Language area of concentration
 
 Fall 1	
 Natural Language Processing
 Algorithms for NLP
 Intro to ML (MLD)
 MIIS Directed Study
 
 Spring 1	
 Question Answering
 Intro to Deep Learning
 MIIS Capstone Planning Seminar
 MIIS Directed Study
 
 Summer	
 Internship
 
 Fall 2
 MIIS Capstone Project
 Language and Statistics
 
 Spring 2
 Comp Semantics for NLP
 ML for Signal Processing
 Elective
 
 
 For a complete breakdown of curriculum and requirements, read the MIIS Handbook.
 
 Admissions
 Carnegie Mellon's School of Computer Science has a centralized online application process. Applications and all supporting documentation for fall admission to any of the LTI's graduate programs must be received by the application deadline. Incomplete applications will not be considered. The application period for Fall 2024 is now closed. Information about the Fall 2025 admissions cycle will be available in summer 2024.
 
 *Please note, we no longer require mailed, hard versions of transcripts or test scores at the time of application. Do not mail anything to the admissions office. If you are accepted to a program, you will be given instruction to then mail your materials.
 
 Application Deadlines :TBA
 Cost: TBA
 
 
 Fee Waivers
 
 Fee waivers may be available in cases of financial hardship, or for participants in select "pipeline" programs. For more information, please refer to the School of Computer Science Fee Waiver page.
 
 Requirements
 
 The School of Computer Science requires the following for all Master's applications.
 
 GRE scores: MIIS applicants must submit their GRE scores. The scores 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. If you are currently working on or have received a bachelor's and/or a master's degree in the U.S. and your native language is not English, you may submit an expired test score up to five years old. TOEFL scores taken before August 20, 2016, will not be accepted. (While the TOEFL is preferred, the IELTS or Duolingo tests 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.
 For more details on these requirements, please see the SCS Master's Admissions page.
 
 In addition to the SCS guidelines, the MIIS 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 is strongly suggested.
 No incomplete applications will be eligible for consideration.
 
 For specific application/admissions questions, please contact Brianna Eriksen.
 
 Program Contact
 For more information about the MIIS program, contact Brianna Freeman.
 
 Brianna Eriksen
 Academic Program Manager - MIIS
 Office: 5414 Gates & Hillman Centers
 Email: bfreema2@andrew.cmu.edu
 Phone: 412-268-4277
