Drexel University School of Computer and Information Sciences 45 courses 45-46 total credits
The Master of Science in Human-Computer Interaction and User Experience (HCI/UX) explores creative ideas, theories, and technologies to advance students' understanding of the complex and tightly coupled relationships between people and computing systems. The program prepares students to create and evaluate technologies that support and complement human needs and abilities in a broad range of contexts such as work, wellness, home, entertainment, and artistic expression. The HCI/UX program prepares students for a range of careers related to user experience research and design, interface design, and software development.
| Total Credits | 45-46 credits |
HCI/UX Research and Design
HCI/UX Theory and Frontiers
| Code | Course Title | Credits |
|---|---|---|
| INFO 608 | Human-Computer Interaction | 3 |
| INFO 609 | Accessible and Inclusive Design | 3 |
| INFO 616 | Social and Collaborative Computing | 3 |
| INFO 693 | Human-Artificial Intelligence Interaction | 3 |
Capstone
| Code | Course Title | Credits |
|---|---|---|
| INFO 881 | HCI/UX Capstone I | 3 |
| INFO 882 | HCI/UX Capstone II | 3 |
Optional Co-op Experience
| Code | Course Title | Credits |
|---|---|---|
| COOP 500 | Career Management and Professional Development for Master's Degree Students | 1 |
| Total Optional Co-op Experience | 0-1 credits | |
Web Application Development
| Code | Course Title | Credits |
|---|---|---|
| INFO 532 | Software Development | 3 |
| INFO 600 | Web Systems & Architecture | 3 |
| INFO 655 | Intro to Web Programming | 3 |
| INFO 670 | Cross-platform Mobile Development | 3 |
| SE 627 | Requirements Engineering and Management | 3 |
| SE 638 | Software Project Management | 3 |
| Total Web Application Development | 15 credits | |
Data Science Foundations
| Code | Course Title | Credits |
|---|---|---|
| DSCI 511 | Data Acquisition and Pre-Processing | 3 |
| DSCI 521 | Data Analysis and Interpretation | 3 |
| CS 570 | Programming Foundations | 3 |
| CS 590 | Privacy | 3 |
| DSCI 501 | Quantitative Foundations of Data Science | 3 |
| INFO 590 | Foundations of Data and Information | 3 |
| INFO 623 | Social Network Analytics | 3 |
| INFO 633 | Information Visualization | 3 |
| INFO 648 | Healthcare Informatics | 3 |
| INFO 725 | Information Policy and Ethics | 3 |
| Total Data Science Foundations | 15 credits | |
Applied Artificial Intelligence and Machine Learning
| Code | Course Title | Credits |
|---|---|---|
| CS 501 or CS 570 | Introduction to Programming or Programming Foundations | 3 |
| CS 614 | Applications of Machine Learning | 3 |
| INFO 629 | Applied Artificial Intelligence | 3 |
| CS 502 | Data Structures and Algorithms | 3 |
| CS 503 | Systems Basics | 3 |
| DSCI 501 | Quantitative Foundations of Data Science | 3 |
| DSCI 511 | Data Acquisition and Pre-Processing | 3 |
| DSCI 521 | Data Analysis and Interpretation | 3 |
| DSCI 631 | Applied Machine Learning for Data Science | 3 |
| INFO 612 | Knowledge-based Systems | 3 |
| INFO 692 | Explainable Artificial Intelligence | 3 |
| INFO 693 | Human-Artificial Intelligence Interaction | 3 |
| Total Applied Artificial Intelligence and Machine Learning | 12 credits | |
Computer Science Foundations
| Code | Course Title | Credits |
|---|---|---|
| CS 501 | Introduction to Programming | 3 |
| CS 502 | Data Structures and Algorithms | 3 |
| CS 503 | Systems Basics | 3 |
| CS 504 | Introduction to Software Design | 3 |
| Total Computer Science Foundations | 12 credits | |
Additional Elective Courses
Click a course code or title to read the full course description.
Our subject experts help with essays, research papers, case studies, discussion posts, and capstone projects for these programs β written from scratch to your course requirements.
Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.
Expert guides on essay writing, citation styles, study skills, and academic success.
View All Articles
Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
Learn how to choose a research topic you can actually research. Discover how to narrow broad ideas, find reliable sources, and develop a focused research question.
Learn how to cite sources in a research paper using APA, MLA, and Chicago styles, with in-text citation examples and reference-list tips.