Location(s): Courses for this program are offered at all BC locations. This program is also offered fully online. 

Program Entrance Requirements: Minimum AA, AS or AAS degree (from a Regionally Accredited Institution) and 2.0 out of 4.0 GPA in all previous post-secondary work. Students with 60 credit hours but not holding a degree may be admitted to the program upon approval of the Associate Dean or Dean if the AS General Education requirements have been satisfied and all other criteria are met.

Program Description:  The Bachelor of Applied Science Degree in Data Analytics & AI provides individuals who hold an Associate degree the opportunity to further their education. It equips students with the skills to extract valuable insights from data, translate them into compelling visuals, and leverage machine learning techniques for informed decision-making. The program prepares students for data analyst positions in various industries. Through a blend of coursework and hands-on labs, you'll gain expertise in: Data Fundamentals, Databases and SQL, Data Visualization, Statistics and Probability, and AI in Business Data.

Special Admissions Requirement for BAS Program:  A supplemental application is required for this program. You can complete the application online here.

Foreign Language Requirement:  Students must successfully complete the foreign language requirement as prescribed in college policy and the college catalog. You can find further information on the foreign language requirement here.

General Education Courses:  Will vary based on a student’s transcript. Total General Education credits must total 36 as outlined here.

Program Competency:  Once admitted, students must complete 17 credits of program competencies during their beginning semesters. Program competency courses are pre-requisites to all program courses.

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Students must complete the General Education requirement. If a student has completed the requirements through the A.S. program, students may take an upper level (UL) course beginning with CAP, CET, CIS, CNT, COP, CTS, ISM. 

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Elective - An IT Internship is recommended.

Notes: In addition to the courses marked, students must also complete 7 additional credits to earn ATC 4290.  Please review the Data Analytics ATC program of study for specific courses.

In addition to the courses marked, students must also complete 5 additional credits to earn ATC 4291  Please review the Information Technology Management ATC program of study for specific courses.

See General Education course information here.

Students must satisfy the Digital Literacy requirement by testing out, completing a Credit for Prior Learning portfolio, or passing CGS1060C COMPUTER AND INTERNET LITERACY.

Students are strongly encouraged to meet with an advisor to create a personalized educational plan.

Program Highlights

Credit for Prior Learning

Accelerate your path to completion with these options:

• Credit by exam
• Prior Learning Assessment
• Earned industry certifications
• And much more…

Related Industry Certifications

Upon completing this program, graduates will be eligible to sit for the following industry certifications/licenses:

• Microsoft Analyzing Data with Power BI
• CompTIA Data +
• PMI Project Management Professional (PMP)
• Certified Associate Project Manager (CAPM)

GET AN INTERNSHIP

After completing your first year of coursework make sure to visit Employment Solutions for internship opportunities and helpful tools like virtual job shadow, to help take your career to the next level!

• Get an Internship
• Virtual Job Shadow Tool

Median Wage and Job Growth Outlook

Broward College has Career Coach! It is designed to help you find a good career by providing the most current local data on wages, employment, job postings, and associated education and training.

Fund Your Education

This Program is Financial Aid eligible. Scholarships may be available. This program is part of the Career Source Broward ITA List.

Program Learning Outcomes

Graduates from this program will:

• • Graduates will be able to build dashboards to visualize and analyze data and\\napply data analysis to the business decision making process.
  • Graduates will be able to read, format, manipulate and analyze various\\ndata types.
  • Graduates will summarize the properties of a project and classify project roles and responsibilities.
  • Graduates will be able to create a unified Extract-Transform-Load data flow to integrate data from various sources and to prepare data for complex analysis. This is measured in Assignment 6: The Output Step.
  • Graduates will be able to identify the role of Artificial Intelligence and Machine Learning in Technology and some important applications.