Foundations in Data Analytics

STEM & Advanced Manufacturing
The STEM & Advanced Manufacturing field encompasses computer science and information technology, engineering technologies, life sciences and more. These programs prepare students for the modern day high-tech environment, and offer a combination of design, production, technology, mathematics and problem-solving skills.

Why choose Foundations in Data Analytics?

The foundations of Data Analytics program provides a strong base for students interested in pursuing a baccalaureate degree in the area of data analytics.  The combination of courses in mathematics with theoretical and applied software development courses provides students with necessary background skills for continued study in the data science field as well as programs such as math, computer science, computer information systems, statistics or applied mathematics.

Program Outcomes

Upon the completion of the degree in Foundations in Data Analytics, graduates will be able to:

  1. Demonstrate technical proficiency and effective problem solving ability in completing mathematical processes.

  2. Identify the benefits of quality, timeliness and continuous improvement in regards to software development

  3. Apply critical-thinking skills to identify, analyze and solve problems.

  4. Apply mathematical concepts to other disciplines including business, economics, social sciences, and the natural sciences.

  5. Demonstrate the ability to follow a systematic progression of software development and refinement when designing and developing software for a project.

  6. Participate effectively as a member of a team.

  7. Articulate an understanding of the need for life-long learning.

  8. Demonstrate an understanding of diversity through

  9. interaction with project teammates.

  10. Develop software programs that reflect the application of up-to-date tools and techniques of the discipline.

In addition, the graduate will be able to demonstrate competency in the general education outcomes.

ASSOCIATE IN SCIENCE: Foundations in Data Analytics

FIRST YEAR
FALL SEMESTERCLLABCR
ENGL101N College Composition 4 0 4
CSCI106N Introduction to Software and Web Development
3 0 3
MATH106N Statistics I 4 0 4
CSCI161N Introduction to Programming 2 2 3
14
SPRING SEMESTERCLLABCR
CSCI175N Programming using C++ 2 2 3
CSCI140N Essentials of System Analysis 2 2 3
MATH206N Statistics II 4 0 4
General Core Requirement: Science 3 2/3 4
BUS101N Introduction to Business 3 0 3
17
SECOND YEAR
FALL SEMESTERCLLABCR
MATH210N Calculus I 4 0 4
CSCI207N Database Design and Management 2 2 3
CSCI230N Object Oriented Programming using C++ 2 2 3
ENGL122N Technical Writing 3 0 3
General Education Requirement: History/Political Science 3 0 3
16
SPRING SEMESTERCLLABCR
MATH211N Calculus II
4 0 4
CSCI278N Data Structures using C++ 2 2 3
General Education Core Requirement: Humanities/Fine Arts OR Global Awareness 3 0 3
MATH215N Linear Algebra 4 0 4
14
Total 61 Credits