Learning Science and Engineering Professional Masters Program - Overview

Overview | Curriculum | Capstone Project | Admissions | Contact

Announcing a new a Professional Masters of Learning Science and Engineering degree.

Application Deadline Extended to February 17, 2013

Highlights of the program:

• 12-month, 12-course duration.
• Interdisciplinary orientation.
• Diverse faculty in Learning Sciences, Human-Computer Interaction, Psychology, Design, and Computer Science.
• Substantial real world team-based project for an external client.

The Learning Science and Engineering Professional Masters Program (LSE)

The Master of Science in Learning Science and Engineering program offers students who have a Bachelor’s or Master’s degree in such areas as psychology, education, computer science, information technology, business, or design the opportunity to improve their training with advanced study in Learning Science and Engineering. Our students will gain the knowledge, skills, and techniques to develop and evaluate programs in learning settings that range from schools to workplaces, museums to computer-based environments—as well as other formal, informal and non-traditional educational settings. Graduates of the program will take key positions in corporations and private and public universities and schools; they will become designers, developers, and evaluators of educational technologies and learning environments as well as domain experts, learning technology policy-makers, or Chief Learning Officers.

The program integrates fundamental skills with project-based studio classes culminating in a final capstone project. It is distinct from the Learning Science track in the HCII PhD program, and, in particular, it is not designed as a feeder to that PhD program.

Upon completion of the Master of Science in Learning Science and Engineering, graduates will:

• Be able to design, develop, and implement advanced educational solutions that make use of state-of-the-art technologies and methods such as artificial intelligence, machine learning, language technologies, intelligent tutoring systems, educational data mining, tangible interfaces.
• Understand how these technologies can be applied to engineer and implement innovative and effective educational solutions.
• Understand cognitive and social psychology principles relevant to research-informed instructional design.
• Have skills for instructional and interaction design needed to create solutions that not only enhance learning, but are also desirable.
• Understand the role of and have skills in using psychometric and educational data mining methods in evaluating and improving educational solutions
• Be able to develop continual improvement programs that employ “in vivo” experiments and educational data mining to reliably identify best practices and opportunities for change.

Carnegie Mellon University is known by the software and technical industries for it’s interdisciplinary nature, rigor and deep knowledge in Learning Science, Human-Computer Interaction, Psychology, Design, and Computer Science. This is a two-year masters degree set into a twelve month duration. During their first and second semesters, students learn core knowledge and skills in learning principles, technology design, and implementation as well as choose from a range of electives. During their second and third semesters the students participate in a substantial industry capstone project with an external client.

Program Poster

Download the Learning Science and Engineering poster.