LDA Certificate Requirements

Note that no more than 6 s.h. of course work for a major will be counted towards the Certificate.

The certificate requires 21 credits from the courses listed below depending on the area of interest.

Prerequisites: (not counted as certificate courses)

MATH:1850 or equivalent Calculus I

MATH:1860 or equivalent Calculus II

CS:1210 or equivalent Computer Science I: Fundamentals

MATH:2700 Introduction to Linear Algebra

Level I (6 s.h.)

STAT:2010 Statistical Methods and Computing

STAT:3200 Applied Linear Regression

Level II (9 s.h.)

MATH:3800/CS:3700 Elementary Numerical Analysis

Two of the following:

MSCI:3200 Database Management

CS:4700 High Performance Computing

CS:4980 Topics in Computer Science (Selected topics only)

STAT:5810 Research Data Management or
STAT:5400 Computing in Statistics

MATH:4820/CS:4720 Optimization Techniques

Level III (6 s.h.)

MSCI:6421/CS:6421 Knowledge Discovery

MATH/STAT/CS:4740 Large Data Analysis (capstone course)

Topic courses on: Machine Learning, Internet Measurements and Analytics, Big Data Technologies, Topological Data Analysis should be accepted as substitutions for the above without any problems.

For any substitutions consult with LDAC advisory board.

Sample plans of study for the following majors shown below. These are meant simply to be a guide for how you might complete your major and the Large Data Analysis Certificate.

Students majoring in other Departments and Programs can also join the Certificate program, if you are interested contact an affiliated
faculty.

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