School of Behavioral and Brain Sciences

Micro-Credentials

Micro-credentials are designed for undergraduate students seeking to supplement their bachelor's degrees with additional skills in the field.

• Behavioral Research Methods
• Biobehavioral Data Science
• User Experience (UX) Research
• Neural Net Math

Micro-credential in Behavioral Research Methods

6 semester credit hours

Behavioral Research Design and Analysis, formulating and testing meaningful behavioral hypotheses, interpreting and communicating research findings, and scientific writing skills applicable to reporting data analyses. These skills are relevant to students pursuing careers in areas such as: UX Research, Data Science, and Machine Learning.

Admission Requirements

Students may register for the program the same semester they are taking the applicable courses.

Prerequisites

The prerequisite for this sequence requires completion of any one of the following four courses:

PSY 2317 Statistics for Psychology

or STAT 1342 Statistical Decision Making

or CS 3341 Probability and Statistics in Computer Science and Software Engineering

or STAT 4351 Probability

Required Courses:

PSY 3392 Research Design and Analysis¹

PSY 3393 Experimental Projects in Cognitive Science¹

or CGS 3340 Experimental Projects in Cognitive Science¹

Micro-credential in Biobehavioral Data Science

6 semester credit hours

Introduces important tools and methods in the areas of Data Science and Machine Learning. These skills are relevant to students pursuing careers in Data Science and Machine Learning.

Admission Requirements

Students may register for the program the same semester they are taking the applicable courses.

Prerequisites

No computer programming experience is required.

Required Courses:

CGS 3346 PYTHON for Biobehavioral Data Analysis¹

CGS 3342 Cognitive and Neural Modeling Laboratory¹

Micro-credential in User Experience (UX) Research

6 semester credit hours

Introduces important tools and methods relevant in the pursuit of careers in User Experience (UX) Research and Usability Engineering.

Admission Requirements

Students may register for the program the same semester they are taking the applicable courses.

Prerequisites

No computer programming experience is assumed.

Required Courses:

CGS 4353 Qualitative UX Research¹

CGS 4321 Quantitative UX Research¹

Micro-credential in Neural Net Math

6 semester credit hours

The following two course sequence (which is cross-listed with the UTD Computer Science department and the UTD Cognitive Science Program) provides an in-depth introduction to mathematics relevant to understanding advanced machine learning algorithms and data science concepts.

Admission Requirements

Students may register for the program the same semester they are taking the applicable courses.

Prerequisites

The following three courses are prerequisites for this sequence:

MATH 2414 Integral Calculus

or MATH 2419 Calculus II

or MATH 3351 Advanced Calculus

MATH 2418 Linear Algebra

CS 3341 Probability and Statistics in Computer Science and Software Engineering

or STAT 4351 Probability

Required Courses:

CS 4314 Intelligent Systems Analysis¹

or CGS 4314 Intelligent Systems Analysis¹

CS 4315 Intelligent Systems Design¹

or CGS 4315 Intelligent Systems Design¹

1. Required courses must be completed with at least a grade of B.