The undergraduate Certificate in Large Data Analysis requires a minimum of 18 s.h. The certificate may be earned by any student admitted to the University of Iowa who is not concurrently enrolled in a UI graduate or professional degree program. Students must maintain a g.p.a. of at least 2.00 in work for the certificate.

Students majoring in computer science, mathematics, or statistics may count a maximum of 6 s.h. of course work for their major toward the certificate. Students pursuing other majors should consult with their major advisors to ascertain whether they may count certificate course work toward their majors.

Most of the certificate courses have prerequisites not included in the certificate requirements. Students need to select courses for which they have met the prerequisites.

Prerequisites (or their equivalents) for the certificate include the following.

CS:1210Computer Science I: Fundamentals4
MATH:1850Calculus I4
MATH:1860Calculus II4
MATH:2700Introduction to Linear Algebra4
STAT:2010Statistical Methods and Computing3
or STAT:2020 Probability and Statistics for the Engineering and Physical Sciences

The Certificate in Large Data Analysis requires the following course work.

Level I
Both of these:
MATH:3800/CS:3700Elementary Numerical Analysis3
STAT:3200/IE:3760/IGPI:3200Applied Linear Regression3
Level II
Two of these:
CS:4700/MATH:4860High Performance and Parallel Computing3
MATH:4820/CS:4720Optimization Techniques3
MSCI:3200Database Management3
STAT:4580/IGPI:4580Data Visualization and Data Technologies3
Level III
One of these:
CS:5430Machine Learning3
CS:5630Cloud Computing Technology3
IE:4172Big Data Analytics3
MSCI:3500Data Mining3
MSCI:4480/CS:4480/ECE:4480Knowledge Discovery3
STAT:4540/IGPI:4540Statistical Learning3
Capstone Course
This course:
CS:4740/IGPI:4740/MATH:4740/STAT:4740Large Data Analysis (must be taken within 30 s.h. of graduation)3