2022-2023 College Catalog 
    Jun 20, 2024  
2022-2023 College Catalog

Technology Studies: Data Science Option

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Please note that as of July 1, 2023, all program information should be accessed through the CT State Community College Catalog. The program information on this page may no longer be accurate beyond this date.

Degree Code: KF16


Associate in Science

Contact: Mark Comeau, Department Chairperson - 860-215-9415

The Technology Studies - Data Science Option associate degree program prepares students primarily to transfer to complete a B.S. degree in Data Science or Technology Management. Graduates will receive a background in mathematics, science, data literacy, programming, and general education courses for transfer into a four-year program. 

Technology Studies: Data Science Option Curriculum Requirements

Semester I

Total: 17 or 18

Semester II

Total: 15

Semester III

Total: 18

Semester IV

  • DTS* K220 - Intro to Machine Learning°3 CREDIT HOURS
  • __________ - Fine Arts Elective 3 CREDIT HOURS
  • __________ - Economics Elective 3 CREDIT HOURS
  • __________ - Geography or Political Science or History Elective 3 CREDIT HOURS
  • __________ - Math or Programming Elective 3 CREDIT HOURS
  • __________ - Math or Programming Elective 3 CREDIT HOURS

Total: 18


° Course has a prerequisite. Students should check course description.

* Indicates common course numbering within Connecticut Community College system.

Students should consult with their academic advisor regarding the minimum number of credits to be taken at TRCC and limits on non-traditional credits.  25% of TRCC degree requirements must be completed with TRCC coursework.  Up to 50% of degree requirements can be fulfilled with non-traditional credit.  Non-traditional credit includes CLEP/DSST exams, Credit by Exam, APL credit, and Military credit. 

Grand Total: 68-69

Technology Studies, Data Science Option, Associate in Science Degree Program Outcomes

Upon successful completion of all program requirements,
graduates will be able to:

  1. enter a Bachelor of Science Program in Engineering Technology with junior level status in the receiving institution as part of the Technology Studies Pathway Program.
  2. demonstrate team-oriented skills that permit effective participation in multicultural work and social environments
  3. apply appropriate mathematical and scientific principles to engineering technology applications.
  4. demostrate a good understanding of mathematical concepts.
  5. express ideas effectively through written and oral communications.
  6. demonstrate proficiency in technical fundamentals to analyze engineering technology problems and make appropriate decisions. 
  7. maintain a practical knowledge of state-of-the-art hardware and software.
  8. demonstrate the ability to assist in research, development, design, productions, testing and various other functions associated with Data Science.
  9. demonstrate a good understanding of Data Science principles and concepts.
  10. demonstrate good communication skills.

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