Program Information

Students in the cITe Program double major in Computer Science: Social Computing and one other major of their choice. The program will work hand-in-hand with the student’s second major to allow a better understanding of data language and how it is used in various career fields in today’s world
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According to the U.S. Bureau of Labor Statistics (BLS), employment of computer and information research scientists is projected to grow 16 percent from 2018 to 2028, much faster than the average for all occupations. Potential career fields include:

  • Data Science
  • User experience design (UX/UI)
  • AI architecture
  • Web Design
  • App Development
  • Applied research science

Testimonials

My double-major has allowed me to see things from a unique perspective and to propose technology-based solutions to problems I face in my communication courses. It also provided skill sets that have helped me present and articulate myself well in my computer sciences classes. This is a perfect fit for me because both of my majors have challenged me to pursue my goals and have provided the tools to do so effectively.
Ciara Tucker
"My experience in the cITe work-study and NLP courses has helped me build friendships within both cohorts and learn about variation in language. The COF scholarship has helped me financially continue at the Mount."
Lexi Theuerling
"cITe’s work study program provided me with a competitive pay that worked with my class schedule throughout the year. I was able to work with a variety of projects that touched in each of my disciplines. Ultimately, my skill set greatly expanded and I acquired an experience that I couldn’t obtain anywhere else."
Noah Douglas

Our Courses

Ask questions like: Where did English come from? Why do people have accents? If a baby hears two languages, will the baby be confused?

Find and interpret academic and scientific articles; find answers to real-world questions. We will also work together to write an article with the view of submitting it to a journal or conference for publication.

This course will enable students to develop an understanding of the basic concepts and considerations of structured and object-oriented programming methodologies. 

Engage in hands-on activities and projects using corpus linguistics and natural language processing tools. We will also contemplate what all te advancements in technology mean to our daily lives.

Learn how to develop and refine your own research question and conduct a mini-study using proper research theory and methods to look for answers. 

Expand your knowledge of concepts and considerations of structured and object-oriented programming methodologies mastered in NLP 120 by learning approaches for the development of reliable, highly maintainable, and re-usable NLP projects. 

Learn to use complex and compound criteria from multiple data tables to develop appropriate reports and perform data analysis of the NLP data stored in the relational database. 

Develop web applications aimed at expanding your existing project developed in NLP 230. This course also examines various multimedia formats (images, audio, video, sounds, and animation), web standard, and use accessibility. 

Students will participate in selected projects to review relevant professional and/or academic literature, conduct a needs analysis and/or develop their project’s technical specifications, and then map out a project goals timeline document. 

In this course, the student will design and conduct Natural Language Processing research under the direction of an NLP faculty member. The student will collect and interpret the data gathered and will present the results of the work as agreed upon by the student and his/her research advisor. 

2022-2023 Undergraduate Worksheet

Curriculum Guide

Social Computing Fact Card

cITe Fact Card

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