Technology Studies: Data Science, AS (DTAS-AS-COT)

CT State Community College Catalog 2023-2024 New students enrolling for the first time in Fall 2023 will begin as students of Connecticut State Community College under this catalog.  Continuing students from one of the 12 community colleges will be transitioned into a CT State program in this catalog as of the start of the Fall 2023 term. The policies, courses and programs described are applicable as of the Fall 2023 term and may be updated as circumstances require.

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.

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.

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.

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.