MS in Computational Linguistics, Analytics, Search And Informatics

University of Colorado Boulder - Graduate Distance Education

Online Boulder, CO Public ACCREDITED

Program at a Glance

No 100% online
N/A
Per credit hour for tuition
32 credit hours required for graduation
$N/A
total estimated cost
Yes transfer credits accepted
No 100% flexible class times
16 weeks average course length
No minimum
min. completion time

Overview

Online Professional Master of Science in Computational Linguistics, Analytics, Search and Informatics at the University of Colorado Boulder

The University of Colorado Boulder (CU Boulder) is the flagship campus of the University of Colorado system and is globally recognized for its world-class research and a faculty that includes numerous Nobel Prize laureates. An innovator and leader in the distance education field for more than 45 years, CU Boulder connects students to its campus from anywhere in the world anytime through its distance education delivery platform.

The distance education platform gives students access to a variety of graduate programs, including master’s degrees, certificates and individual courses, allowing CU Boulder online distance education students to earn the same degrees and have the same resources as on-campus students.

Professional Master of Science (MS) in Computational Linguistics program overview

U.S. News and World Report ranks the Computer Science program at CU Boulder 40th overall and 22nd among public graduate programs (2017). It is one of the leading departments in the nation, as measured by the prominence of its research programs and the placement of its students. The program has research groups in human-computer interaction, machine learning, numerical and parallel computation, databases, networks, software engineering, systems and theoretical computer science.

Computer Science faculty, staff and students are engaged in cutting edge research projects that address some of the most important challenges facing society today. From harnessing the power of big data to modeling climate change to understanding the role of social media, advances in computer science today will change the world tomorrow.

Focus areas 

The CLASIC program provides a solid foundation in both Computer Science and Linguistics graduate coursework, as well as several courses focused on data-driven linguistics, computational linguistics, and information processing.  Students will complete the two-year degree with a capstone project that will run in conjunction with an internship or CU-based research project. As part of the capstone, students will be evaluated by their employer or industry project manager. Students will also prepare a technical report on the completed project that the program directors and project leader will jointly evaluate.

Computational Linguistics, Analytics, Search and Informatics Curriculum 

The MS degree program must be completed within four years of the date coursework began. Typically, distance students including working professionals complete the program in three years.

Students must complete a total of 32 credit hours. ProMS students do not have to follow a specific focus area curriculum and can customize their degrees based on their personal interests; however, 18 credits in computer science courses is required.

Focus areas include nine credit hours in computer science covering programming and machine learning; nine credit hours in linguistics covering syntax, phonetics and semantics and pragmatics; nine credit hours in computational linguistics covering natural language processing, computational lexical semantics and computational phonology and morphology; three credit hours of electives in information retrieval, formal semantics and more.

Course delivery

All students have automatic access to online course lectures (streaming or downloading) beginning the first day until the last day of the semester. Recorded lectures are uploaded to the portal within 24 hours after the lecture has been taught on campus. Students have the option to participate live from a distance in the real-time classroom experience and/or view the lectures asynchronously as it fits their schedule. Some of the CLASIC courses are not available online at this time and must be completed on campus.

Library Courses, those that have been recorded in previous semesters, are available to take for academic credit with the instructor’s approval.

World-class faculty

CU Boulder faculty includes five Nobel laureates (four in physics and one in chemistry), eight MacArthur "Genius Grant" fellows, two US Professors of the Year and four National Medal of Science winners. CU Boulder faculty members contributed valuable data to the international climate change report that shared in the 2007 Nobel Peace Prize.

The Department of Computer Science's award-winning faculty members are committed to advancing research, education, and practice in the field.

For example, Dr. Bor-Yuh Evan Chang focuses on tools and techniques for understanding, building, and ensuring dependable computation systems. He is the recipient of a National Science Foundation Career award.

Dr. Qin Lv, PhD, an associate professor and the co-graduate director, researches topics concerning data management, data mining, mobile systems, search systems, and social networks. She has published more than 30 papers on subjects including cryospheric data analysis, large-scale similarity search, mobile air quality sensing, and peer-to-peer networks. Her research about personalized driving behavior analysis won a Computational Sustainability Award presented by the Computing Community Consortium and Pervasive 2012. Her research has been cited more than 2,000 times.

Financial assistance 

CU Boulder offers a variety of financial assistance options for online distance graduate students. These include loans, grants, military and company tuition assistance programs.

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Admissions

Prerequisites & Transfer Credits

Minimum GPA

3.0
Out of 4.0

Standardized Tests

Yes

requiredfor admission

Transfer Credits Accepted?

Yes*

Credits must be from from a four-year college or university of recognized standing.

Additional Admission Requirements

TOEFL

Experience

Services, Schedule, Reputation, Instructors and Student Info

Services Offered

Online Office Hours
Online Chat
Mobile App
Social Discussion Forums
On-Campus Graduation Ceremony
Digital Textbooks
Online Management of Coursework

Schedule

100% Online No
Minimum Completion Time No minimum
Class Times Both
Average Course Length 16 Weeks

Reputation

  • School Type:
    Public
  • School Accreditation:
    Regional Accreditation North Central Association of Colleges and Schools, The Higher Learning Commission
  • Program Accreditation:
    ABET

Instructors & Students

  • Instructors:
    Teach both online and on-campus
  • Students:
    Students worldwide

Cost

Tuition & Fees

  • Tuition
    N/A
  • Required for Completion
    32 credit hours
  • Total Estimated Cost
    N/A
  • In-State/Province: $1050
  • Out-of-State/Province: $1350
  • International: $1350

Location & Contact

Student Contact

-
Graduate Distance Education

Head of Distance Learning

Lawrence Stephen Director 303-492-6331 cugrad@colorado.edu
Graduate Distance Education Graduate School - Program Development 1111 Engineering Drive, ECOT 126 Boulder CO 80309-0435

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