[apologies for multiple copies]

Hi all,

The University of Texas at Arlington is currently accepting applications for the second cohort of our Master of Science in Learning Analytics program in the Department of Psychology. Applications are due November 19 with the next term starting in January.

The program is 100% online, does not require any travel to the university, and includes a special tuition model to substantially reduce the cost for prospective out-of-state and international students. If you know someone who might be interested, please share with them!

To learn more, visit https://go.uta.edu/msla

UTA M.S. in Learning Analytics

Interactions in digital environments produce data. Learning analytics is the field of study that uses this data to understand what individuals have learned, how teams perform most effectively, and the networks that support social and organizational knowledge development. The University of Texas at Arlington’s Master of Science in Learning Analytics (MSLA) is the world’s first fully online program intended for individuals who want to pursue a career in fields that are impacted by the digitization of learning, sensemaking, and knowledge processes in complex information environments.

The 36-credit hour program offers two pathways, with one requiring a traditional research thesis and the other requiring a capstone project. Additionally, students following both paths will complete six core courses and electives that suit their needs and contexts. 

Why Learning Analytics?

Learning analytics is a rapidly growing area of research and practice that uses data science to make sense of the world and to improve teaching, learning, and knowledge processes in a variety of contexts, such as informal settings, schools, universities, corporations, and non-profit organizations. It sits at the nexus of learning science, education, computer science, and psychology and uses a range of analytics approaches.

Course Listing

LAPS 5310 - Learning Analytics Fundamentals

LAPS 5320 - Experimental Design & Methodology

LAPS 5330 - Psychology of Learning & Learning Sciences

LAPS 5340 - Big Data Methods

LAPS 5350 - Privacy & Ethics in Learning Analytics

LAPS 5360 - Introduction to Data Analysis and R

LAPS 5370 - Introduction to Statistical Analysis

LAPS 5375 - Probability and Statistical Inference

LAPS 5376 - Applied Regression Analysis

LAPS 5377 - Linear Models and Experimental Design

LAPS 5378 - Multidimensional Scaling and Clustering

LAPS 5380 - Causal Inference for Program Evaluation

LAPS 5388 - Advanced Methods in Educational Data Management/Learning Analytics

LAPS 5390 - Learning Design and Analytics

LAPS 5391 - Independent Study

LAPS 5392 - Cognition, Computers and Metacognition

LAPS 5393 - Natural Language Processing for Educational Research

LAPS 5394 - Social Network Analysis

LAPS 5395 - Human and Artificial Cognition

LAPS 5610 - Capstone