Data Analytics
Bachelor of Applied Technology
Overview
The Bachelor of Applied Technology (BAT) in Data Analytics at Laredo College builds on students' associate-level technical foundation to develop advanced skills in collecting, analyzing, interpreting, and communicating data to support strategic, data-driven decision-making. This bachelor's degree combines pre-BAT general education and foundational technical coursework with upper-level, specialized coursework in database management, statistical programming, predictive analytics, and cloud-based data technologies.
Students will gain experience in:
- Applied database management – designing, managing, and securing relational databases for real-world applications
- Statistical programming – using R and Python to analyze data and build statistical models
- Data mining and predictive analytics – uncovering patterns and building models to forecast outcomes
- Data visualization and reporting – communicating findings through advanced dashboards and reports
- Machine learning and artificial intelligence – applying AI/ML techniques within cloud environments
- Big data analytics – analyzing large-scale datasets using cloud infrastructure
- Database and web security – protecting data systems and web-based applications
- Applied technology capstone project – demonstrating comprehensive knowledge through a culminating, real-world project
The program emphasizes hands-on learning and the practical application of advanced data analytics tools and techniques, preparing students to lead data-driven initiatives across a variety of industries.
Graduates are prepared to pursue positions such as Data Analyst, Business Intelligence Analyst, Data Scientist, Machine Learning Analyst, Big Data Analyst, Database Administrator, or Data Analytics Manager. The Associate of Applied Science in Data Analytics at Laredo College is the recommended pathway into this program, allowing students to earn an associate degree while completing the required pre-BAT technical coursework.
Information
The Bachelor of Applied Technology in Data Analytics is a 120-semester-credit-hour degree program that combines Pre-BAT general education and technical coursework with upper-level specialized coursework in data analytics. The program builds upon students’ foundational skills to develop advanced competencies in database management, statistical programming, predictive analytics, machine learning, and cloud-based big data technologies. Graduates are prepared to support data-driven decision-making across a variety of organizations and industries.
Key Areas Covered
- Applied database management
- Statistical programming with R and Python
- Data mining and predictive analytics
- Data visualization and reporting
- Machine learning and artificial intelligence in cloud environments
- Big data analytics using cloud infrastructure
- Database and web vulnerability and security
- Applied Technology Capstone Project
- General education courses in communication, mathematics, science, history, and culture
Program Details
- Credits: 120 semester credit hours
- Pre-BAT Requirements: Students must complete all required Pre-BAT general education and technical coursework before enrolling in upper-level BAT courses.
- Upper-Level Eligibility: Students must complete all Pre-BAT requirements and maintain a minimum cumulative GPA of 2.5 before beginning upper-level BAT coursework.
- Upper-Level Grade Requirement: Students must earn a grade of B or better in each upper-level BAT course.
- Capstone: The program culminates in an Applied Technology Capstone Project.
Feeder Programs and Educational Pathways
The Associate of Applied Science in Data Analytics at Laredo College is the recommended feeder program for the Bachelor of Applied Technology in Data Analytics. This pathway allows students to earn an associate degree while completing the coursework required for the Pre-BAT phase.
Other programs within the Computer Sciences & Technology Department that may provide a pathway into the BAT program include:
- Associate of Applied Science in Cloud Computing
- Associate of Applied Science in Information Assurance
Students with other associate degrees or educational backgrounds may also be considered. Previously completed coursework will be reviewed individually to determine how it applies toward the Pre-BAT requirements. Additional coursework may be required based on the results of the evaluation.
Completion of a feeder program does not automatically guarantee eligibility for upper-level BAT courses. Students must satisfy all Pre-BAT and program eligibility requirements before enrolling in upper-level coursework.
BAT Data Application
Students interested in pursuing the Bachelor of Applied Technology in Data Analytics must complete the BAT Data Application. The application allows the Data Analytics program to review the student’s educational background, completed coursework, and progress toward the Pre-BAT requirements.
Students may submit the application while completing their Pre-BAT requirements. However, submitting an application does not automatically guarantee eligibility to begin upper-level BAT courses. All Pre-BAT requirements must be completed and final eligibility must be confirmed before students may enroll in upper-level coursework.
Complete the BAT Data Application
For More Information
Students interested in the program or needing assistance with the application may contact the Data Analytics program within the Computer Sciences & Technology Department at Laredo College:
- Email: BATData@laredo.edu
- Phone: 956.721.5317
Plan of Study
| Required Coursework | |||||
| Data Analytics, Associate of Applied Science | 60 | ||||
| Core/Technical Electives | 30 | ||||
| Total Hours: | 90 | ||||
| First Semester | Lect. Hours | Lab Hours | Cont. Hours | Credit Hours | |
| ITCS 3330 | Applied Database Management | 3 | 2 | 80 | 3 |
| COSC 3350 | Statistical Programming with R and Python | 3 | 2 | 80 | 3 |
| Total Hours: | 6 | 4 | 160 | 6 |
| Second Semester | Lect. Hours | Lab Hours | Cont. Hours | Credit Hours | |
| ITCS 4331 | Data Mining & Predictive Analytics | 3 | 2 | 80 | 3 |
| ITCS 4332 | Data Visualization & Reporting | 3 | 2 | 80 | 3 |
| NETC 4301 | Introduction to Machine Learning in Cloud Environments | 3 | 2 | 80 | 3 |
| NETC 4380 | Big Data Analytics on Cloud Infrastructure | 3 | 2 | 80 | 3 |
| Total Hours: | 12 | 8 | 320 | 12 |
| Third Semester | Lect. Hours | Lab Hours | Cont. Hours | Credit Hours | |
| NETC 4302 | Advanced AI and Machine Learning in Cloud Environments | 3 | 2 | 80 | 3 |
| COSC 4325 | Advanced Data Analytics | 3 | 2 | 80 | 3 |
| CSIS 3385 | Database & Web Vulneraibility and Security | 3 | 1 | 64 | 3 |
| ITCS 4355 | Applied Technology Capstone Project | 3 | 2 | 80 | 3 |
| Total Hours: | 12 | 7 | 304 | 12 | |
| GRAND TOTAL | 60 | 27 | 1248 | 120 |
Students Must Consult With The Program Advisor For Entry Requirements.
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B.A.T. in Data Analytics Pathway (Pending)