Data Engineering certificate (pending DOE approval)

The graduate academic certificate in data engineering prepares students for future careers where decisions are increasingly made or informed by data-driven methods. This 15-hour certificate was designed to help students from STEM-based backgrounds improve their knowledge of data engineering through a focused curriculum. This program is great for people who want to boost their data-related knowledge or pivot into the fast-growing field of data engineering.

Admission Requirements

Our program is open to high-achieving students from engineering, computer science, math, and science-related backgrounds. Each applicant’s transcripts will be reviewed to determine if their background is suitable for admission and/or if leveling coursework is required. If leveling coursework is needed, students may be required to take undergraduate leveling courses to prepare for admission into the program.

Applicants for this program should:

Have a minimum 3.0 cumulative GPA in previous coursework
Have taken statistics or linear algebra and have prior programming experience using languages like C++, Java,Python, R, or Matlab
International applicants should submit TOEFL or IELTS scores or otherwise meet English language proficiency requirements.
Submit a resumé (optional)

Required courses, 12 hours

Students will take 12 hours of courses chosen from the list below. These courses help students establish a firm foundation in data engineering, and students will work with their advisor to select courses to help the student meet their professional goals.

Predictive analytics course, 3 hours

Students will select a 3-hour predictive analytics course chosen from the list below.

Disclosures

The Gainful Employment Disclosures for Graduate Academic Certificates may be found at tsgs.unt.edu/certificatedisclosure.