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Data Analytics, Technologies and Applications

Purdue University in West Lafayette

The Data Analytics, Technologies and Applications (DATA) major produces information technology/computing graduates who can enable, support and use data analytics and applications to strengthen an organization’s decision-making processes.

The DATA major prepares students for careers in which they understand and maximize data science insights or support data collection and processing. Students develop strong foundations in statistical and machine learning techniques, apply analytics techniques to solve problems and evaluate such approaches for effective use.

The Purdue Polytechnic Institute is one of 10 academic colleges at Purdue University. The Polytechnic specializes in team-based labs where you’ll test ideas, take things apart and put them back together — only better. You’ll learn side-by-side with professors who have worked in the industry and thrive on combining theory, imagination and real-world application. In this innovative environment, you'll learn by doing - gaining deep technical knowledge and applied skills in your chosen discipline coupled with problem-solving, critical-thinking, communication and leadership skills employers desire.

Plan of Study

Data Analytics, Technologies and Applications
Data Analytics, Technologies and Applications Webpage

Transfer to Data Analytics, Technologies and Applications

Purdue admits to individual majors. Transfer students must meet Purdue's overall transfer criteria, as well as any major-specific requirements. Before you apply, check the closed programs page to confirm this major is open to transfer students. If it is, refer to the information below for major-specific transfer criteria.

Minimum GPA: 3.2

  • One coding course (B- or better) 
  • One college-level calculus 1 course (B- or better)

Contact Information

Computer and Information Technology Advisors
(765) 494-6484

Purdue Polytechnic Institute

Careers in Data Analytics, Technologies and Applications

  • Data Scientist
  • Data Engineer
  • Data Analyst
  • Data Architect

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