Catalog Description:
Associate Degree of Science in Data Science provides students with a foundation in data analysis, in which students will model, synthesize, and present large data sets for business decision making. Courses will focus on the techniques and tools to extract data from various data sources, model, integrate data, and visualize data for organizational decision making and intelligence gathering. The program prepares students for entry-level jobs, or to help them advance into careers, such as Operation Data Analyst, Business Analytics Specialist, System Data Analyst, Data Visualization Developer, Test Data Analyst, and Market Research Analyst. Topics covered will include statistics, research methods, SQL queries ,systems analysis, design, and applied predictive analytics.
Program Requirement:
Before entering this program, student must complete MAT – 35 and MAT-10 or MAT-23 or qualifying placement level in mathematics to be successful in courses in the program.
Program Learning Outcomes:
Upon successful completion of this program, students should be able to:
· Identify, extract, clean and maintain data in databases.
· Interpret and evaluate data trends or patterns in complex data sets using statistical techniques, analytic methods, and tools.
· Create and monitor reports to preserve data quality, identify critical issues, trends, and potential solutions.
Enrollment and Completer Projections
Enrollment Projects for courses are as followed:
Required courses:
· CIS-1A:49 students
· MAT-70A/CIS-70A:49 students
· MAT-70B:49 students
· CIS/CSC-61:49 students
· CIS/CSC-63:49 students
· CIS-30Aor CSC-8: 49 students
· CIS-68B:49 students
Electives:
· CIS-68A:49 students
· CIS-68B:49 students
· CIS-2: 49students
· CIS-20:49 students
This program is expected to have 50 to 100 students by Fall 2023.
Program Goals and Objectives
Associate Degree of Science in Data Science provides students with a foundation in data analysis, in which students will model, synthesize, and present large data sets for business decision making. Courses will focus on the techniques and tools to extract data from various data sources, model, integrate data, and visualize data for organizational decision making and intelligence gathering. The program prepares students for entry-level jobs, or to help them advance into careers, such as Operation Data Analyst, Business Analytics Specialist, System Data Analyst, Data Visualization Developer, Test Data Analyst, and Market Research Analyst. Topics covered will include statistics, research methods, SQL queries, systems analysis, design, and applied predictive analytics.
Before entering this program, student must complete MAT – 11 or qualifying placement level in mathematics to be successful in mathematics and analysis courses in the program.
Completion of required 37 units in CIS and Math courses, and 3 units of elective coursework, which total 40 units for this program.
Required courses: 37 units
Courses | Title | Units | Year/Semester (Y1 or S1) |
---|---|---|---|
CIS 1A | Introduction to Computer Information Systems | 3 | S1 |
MAT 70A | Foundations of Data Science | 3 | S1 |
CIS/CSC 61 | Introduction to Database Theory | 3 | S1 |
CIS30A or CSC8 | Introduction to Python Programming or Programming Concepts: Python | 3 | S1 |
MAT 70B | Statistics for STEM | 4 | S2 |
MAT 1A | Calculus 1 | 4 | S2 |
CIS/CSC 63 | Introduction to Structured Query Language (SQL) | 3 | S2 |
MAT 1B | Calculus 2 | 4 | S3 |
CIS 30E | Advanced Python Programming | 3 | S3 |
MAT 1C | Calculus 3 | 4 | S4 |
MAT 3 | Linear Algebra | 3 | S4 |
Elective Courses | Title | Units | Year/Semester |
---|---|---|---|
CIS 68A | Introduction to Machine Learning | 3 | S4 |
CIS 68B | Big Data Fundamentals | 3 | S4 |
CIS/CSC 2 | Fundamentals of System Analysis | 3 | S4 |
CSC 20 | System Analysis and Design | 3 | S4 |
Diann Thursby · 10/03/22
Received regional recommendation at 10-3-2022 IEDRC Deans Meeting.