Data Analytics- Associates Applied Science

Data Analytics School in Texas

The Data Analytics AAS program prepares students for careers in entry-level roles in data analysis, business intelligence, and related fields. The program's comprehensive approach ensures that students acquire the skills demanded by the evolving landscape of data-driven decision-making in today's industries.

What Will I Learn?

The Data Analytics program is carefully crafted to cover a diverse range of topics within data analytics. Students delve into fundamental areas such as data visualization, statistical analysis, programming languages, and database management. These courses establish a strong theoretical groundwork and introduce students to the essential tools and methodologies used in the field.

What can I do with this Certificate

Data analytics offers diverse career paths and specializations. Data analytics skills are applicable across a wide range of industries, including finance, healthcare, marketing, e-commerce, and more. Graduates can focus on areas such as machine learning, big data analytics, business intelligence, or specific industry applications. This flexibility allows individuals to tailor their careers to match their interests and aspirations.

Degree Requirements

The Data Analytics program is 60 semester credit hours and includes general education courses (such as writing, mathematics and speech) and technical courses (data analytics, spreadsheets, database, and business statistics).

You must earn a grade of "C" or better in all recommended program of study courses. Any Data Analytics student who does not must repeat the course.
Program Credits: 60
Lecture Hours: 51
Lab Hours: 24
Lamar Institute of Technology is an open enrollment institution. Any student accepted into the Institute is welcome as a Data Analytics major.
Learn more about the tuition and special fees required for this program.
Meet the experienced and dedicated instructors you will learn from as you work to complete this program.
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Tamalla Jones

Academic Department Chair
Technology Arts Building 4, Room 103C

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