Technology Studies: Data Science, AS
Program code: DTAS-AS-COT
Locations: Capital, Gateway, Northwestern, Three Rivers, Tunxis
Program Description
As part of the Connecticut College of Technology (COT), the Technology Studies A.S. degree provides the knowledge and skills within specific high-demand technology fields. The program consists of lecture and lab course work in engineering, technology, industrial technology, mathematics, sciences, and foundational requirements that provide a solid comprehensive background for continuation in a four-year technology degree program or entry into the workforce. Upon completion of a Technology Studies A.S. degree, students can transfer to Central CT State University or the University of Hartford to complete designated B.S. degrees.
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.
Learning Outcomes
- Apply mathematical, scientific and technological principles and concepts to identify and formulate solutions to technical problems.
- Apply critical thinking and problem-solving skills to solve technical problems.
- Demonstrate the ability to function on teams.
- Recognize the need to engage in life-long learning.
Data Science Learning Outcomes
Upon successful completion of all program requirements, graduates should be able to:
- Transition seamlessly into a Bachelor of Science Degree Program in Data Science or Technology Management.
- Apply appropriate mathematical and scientific principles to Data Science applications.
- Demonstrate proficiency in technical fundamentals to analyze and resolve technology problems.
- Apply knowledge and skills to develop, interpret, and select appropriate technological processes.
- Demonstrate the ability to assist in research, development, design, production, testing and various other functions associated with Data Science.
- Demonstrate a good understanding of Data Science principles/concepts.
- Demonstrate a good understanding of mathematical concepts.
- Demonstrate the ability to think through a problem in a logical manner.
- Organize and carry through to conclusion the solution to a problem.
- Demonstrate good communication skills.
- Demonstrate teamwork skills.
Degree Requirements
| Code | Title | Credits |
|---|---|---|
| Technology Studies General Education Core | ||
| ENG 1010 | Composition | 3 |
| MATH 1610 | Precalculus | 4 |
| ART Elective (course vetted for ARHX) | 3 | |
| CHEM 1110 | Concepts of Chemistry | 4 |
| or CHEM 1210 | General Chemistry I | |
| Elective HISX - Historical Knowledge Course or Elective SBSX course in ECON | 3 | |
| ENG 1080 | Composition II: Technical Writing | 3 |
| or COMM 1301 | Public Speaking | |
| CCS 1001 | College and Career Success | 3 |
| Technology Studies Program Core | ||
| PHYS 1201 | General Physics I | 4 |
| or PHYS 2201 | Calculus-Based Physics I | |
| Elective BHEL - Behavioral Science Elective - choose an ANTH, PSY or SOC course | 3 | |
| MATH 1200 | Statistics I | 3-4 |
| or MATH 1201 | Statistics I with Computer Applications | |
| Data Science Courses | ||
| DTS 2290 | Capstone Research | 3 |
| Math or Programming or Computer Applications Elective | 3-4 | |
| MATH 2600 | Calculus I | 4 |
| MATH 2200 | Statistics II | 3 |
| DTS 2201 | Programming in Data Science | 3-4 |
| or DTS 2203 | Elements of Data Science | |
| DTS 2220 | Introduction to Machine Learning | 3 |
| Math or Programming Elective | 3-4 | |
| Math or Programming Elective | 3-4 | |
| Specialization Electives | 6 | |
| Total Credits | 64-69 | |