Data Analytics
Associate of Applied Science
Overview
The Associate of Applied Science in Data Analytics at Laredo College prepares students to collect, organize, analyze, and present data to support informed decision-making. This two-year program combines technical coursework with general education courses to help students develop analytical, communication, problem-solving, and critical-thinking skills.
Students will gain experience in:
- Data collection and preparation – organizing, cleaning, and preparing data for analysis
- Data analysis and interpretation – identifying patterns, trends, and meaningful insights
- Data visualization and reporting – presenting findings through charts, dashboards, and reports
- Spreadsheet and database technologies – managing and analyzing information using industry-relevant tools
- Programming fundamentals – applying programming concepts to solve data-related problems
- Statistical analysis – using statistical methods to evaluate data and support conclusions
The program emphasizes hands-on learning and the practical application of data analytics tools and techniques to real-world situations.
Graduates are prepared to pursue entry-level positions such as Data Analyst, Business Intelligence Analyst, Reporting Analyst, Junior Database Analyst, or Operations Analyst. The degree also provides a pathway for students who wish to continue into the Bachelor of Applied Technology in Data Analytics at Laredo College.
Information
The Associate of Applied Science in Data Analytics is a 60-credit-hour degree program that combines technical coursework with general education requirements. The program provides students with practical knowledge and skills for collecting, managing, analyzing, interpreting, and presenting data. Students learn how organizations use data to identify trends, solve problems, and support informed decision-making.
Key areas covered include:
- Data analytics concepts and methods
- Data collection, preparation, and management
- Spreadsheet and database technologies
- Data visualization and reporting
- Programming fundamentals
- Statistical analysis and interpretation
- General education courses in communication, mathematics, science, history, and culture
Program Details:
- Credits: 60 semester credit hours
- Prerequisites: None
- Pathway: Prepares students for entry-level employment in data-related fields and provides a pathway into the Bachelor of Applied Technology in Data Analytics
For More Information:
Students interested in this program may contact the Data Analytics program within the Computer Sciences & Technology Department at Laredo College for advising and enrollment assistance:
- Email: cst@laredo.edu
- Phone: 956.721.5317
Plan of Study
| First Semester | Lect. Hours | Lab Hours | Cont. Hours | Credit Hours | |
| ENGL 1301 | Composition I CORE | 3 | 0 | 48 | 3 |
| MATH 1342 | Elementary Statistical Methods CORE | 3 | 0 | 48 | 3 |
| COSC 1436 | Programming Fundamentals I CORE | 3 | 3 | 96 | 4 |
| BCIS 1305 | Business Computer Applications CORE | 3 | 1 | 64 | 3 |
| XXXX X3XX | Social and Behavioral Science CORE | 3 | 0 | 48 | 3 |
| Total Hours: | 15 | 4 | 304 | 16 |
| Second Semester | Lect. Hours | Lab Hours | Cont. Hours | Credit Hours | |
| XXXX X3XX | Language/Philosophy/Culture CORE | 3 | 0 | 48 | 3 |
| ITSW 2434 | Advanced Spreadsheets | 3 | 2 | 80 | 4 |
| ITSE 1303 | Introduction to MySQL | 2 | 4 | 96 | 3 |
| COSC 1437 | Programming Fundamentals II | 3 | 3 | 96 | 4 |
| Total Hours: | 11 | 9 | 320 | 14 |
| Third Semester | Lect. Hours | Lab Hours | Cont. Hours | Credit Hours | |
| MATH 1332 | Contemporary Mathematics CORE | 3 | 0 | 48 | 3 |
| ITSE 1346 | Database Theory and Design | 2 | 4 | 96 | 3 |
| ITSW 2437 | Advanced Database | 3 | 2 | 80 | 4 |
| ITDA 2475 | Introduction to Machine Learning | 3 | 2 | 80 | 4 |
| Total Hours: | 11 | 8 | 304 | 14 |
| Fourth Semester | Lect. Hours | Lab Hours | Cont. Hours | Credit Hours | |
| ITDA 2471 | Data Visualization | 3 | 2 | 80 | 4 |
| ITDA 1471 | Data Processing and Analysis | 3 | 2 | 80 | 4 |
| ITDA 1472 | Statistical Computing | 3 | 2 | 80 | 4 |
| ITDA 2472 | Introduction to Big Data | 3 | 2 | 80 | 4 |
| Total Hours: | 12 | 8 | 320 | 16 | |
| GRAND TOTAL | 49 | 29 | 1,248 | 60 |
Students Must Consult With The Program Advisor For Entry Requirements.
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A.A.S. in Data Analytics Pathway (Pending)