CIS: Data Analytics is the science of analyzing raw data in order to make informed decisions with the goal of optimizing performance. This degree focuses on concepts as well as current and emerging software required to be a successful Data Analyst. Typical employment opportunities include: Data Analyst, Business Analyst, Business Intelligence, Research Analyst, Data Visualization Developer, Application Tester and Developer.
Key areas of focus in this degree are: Data Analytics; Business Intelligence (BI); Computer Information Systems; Computer Programming; Database Management; System Development; and Social Media. Students planning to focus on Analytics are recommended to earn a Certificate of Achievement or A.S.in Data Analytics. Ideal for students with previous degrees and excited to break into the growing field of Data Science and Data Analytics as well as completing transferable coursework.
Projected/Actual Student Enrollment Each Year: 31 or more
Projected/Actual Number to Complete This Degree Each Year:21-30
Projected/Actual Number to Complete This Certificate Each Year: 21-30
CIS: Data Analytics provides a background in the field of technology and computing and how it relates to business to produce quality information. The CIS: Data Analytics degree prepares students for entry level positions as data analyst, user support specialist, database programmer, software testers, or application development. The program focuses on:
· Data Analytics, databases, programming and information systems
· Design, implement, evaluate and communicate a computer-based system, process, component, or program to meet the desired needs.
· Analyze data to implement data analytics and provide predictive analysis
· Implement database design techniques in the context of software development
· Demonstrate communication, team work, and project-based learning skills necessary to function effectively on teams to accomplish a common goal.
CIS: Data Analytics is a series of courses to develop the skills and knowledge to analyze large data sets and then create models and visualizations utilizing software tools with the goal of optimizing performance of the business.
In the first year, students will learn the fundamental concepts of Computer Information Systems and Introduction to Data Science as well as software tools of database and electronic spreadsheets to create data models.
In the second year the emphasis will be on software skills such as data visualization, computer programming, and advanced programming or machine learning as well as the concepts and techniques of statistics.
The combination of all these courses gives students a solid foundation of fundamental concepts as well as emerging software skills to gain successful employment as a Data Analyst.
| Course | Title | Units | Year/Semester (Y1 or S1) |
|---|---|---|---|
| CSIT 125 | Computer Information Systems | 3 | Y1 S1 |
| CSIT 150 | Introduction to SQL | 3 | Y1 S1 |
| CSIT 128 | Introduction to Data Science | 4 | Y1 S2 |
| CSIT 230 | Data Modeling | 3 | Y1 S2 |
| CSIT 226 | Data Visualization | 3 | Y2 S1 |
| Math 120 | Elementary Statistics | 4 | Y2 S1 |
| Group 1 elective: CSIT 175 or CSIT 180 or CSCI 112 | Python Programming Or C# Programming Or Programming Fundamentals I | 3 or 3 or 4 | Y2 S1 |
| CSIT 165 | R Programming | 3 | Y2 S2 |
| Group 2 elective: CSIT 275 or CSCI 290 or CSNT 150 or JOUR 200 | Advanced Python Programming Or Introductin to Machine Learning Or AWS Academy Cloud Foundations Or Mastering Social Media | 3 or 4 or 3 or 3 | Y2 S2 |
Jennifer Lewis · 04/09/21
SWC would like to clarification as to which positions this certificate is preparing students for before endorsing.
Tina Recalde · 04/09/21
While San Diego Mesa is willing to support, we would like clarification as to which positions this certificate is providing training.
Larry McLemore · 04/08/21
Cuyamaca supports
Dr. Javier Ayala · 04/05/21
This usually requires a BA or greater. What is the actual focus?
Dr. Al Taccone · 03/30/21
MiraCosta College recommends/endorses.
Tina Ngo Bartel · 03/29/21
Palomar College submitted several LMI reports, so it is uncertain which occupation(s) this program is training for. Based on these reports, however, the available LMI supports new program development. The COE recommends that the region have Palomar College clarify which occupation(s) this program is training for. For each TOP program, the Chancellor’s Office allows up to five occupations or SOC codes. The current submission has over five occupations. This could be confusing for students. The region should note that the majority of these occupations require a minimum of a bachelor’s degree. The COE could create a specific report for the occupations for this program, or the region can move forward as is.
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