Short Graduate Program in User Experience (Doctoral Level)

User experience (UX) is a cutting-edge field of research. Continue your specialization at the doctoral level alongside a team renowned for the quality and scope of its work.

Overview

Bridging research and practice

Acquire or advance methodological skills and advanced specialization applicable in organizational or research settings.

Seminars providing opportunities for expert-level interaction between researchers and individuals with solid experience gained in organizational settings.

Choice of courses aimed at acquiring in-depth knowledge of digital marketing or human-machine interaction in relation to information systems.

Courses on neuroscience methods used in IT, as well as experimental designs and statistical methods.

Program characteristics

Doctoral
9 credits

Part-time

On-site

Côte-des-Neiges

Leading-edge research in this field

Faculty members associated with this doctoral specialization have published hundreds of articles in leading journals. Several hold chairs or research professorships. All of them work closely with several research groups and transfer hubs.

Research chairs

Canada Research Chair in Digital Communication and Multitasking
Canada Research Chair in Enterprise Social Media and Digital Collaboration
Chair in Strategic Management of Information Technology
Research Chair in User Experience
Research Chair in Digital Health

Research groups

Research Group in Information Systems (GReSI)
Multidisciplinary Institute for Cybersecurity and Cyber Resilience (IMC2)
Tech3Lab, research laboratory in user experience
ERPsim Lab

This program is made for you

You have just completed a master's degree and want to continue your specialization without enrolling in a full doctoral program.
You are already employed in a field related to UX and human-computer interaction. You now want to add an advanced specialization in user experience to your master's or MBA degree.
You are considering pursuing a PhD in information technology, but you want to experience doctoral-level courses before making a decision.
You want to broaden your expertise after earning a PhD in a related discipline (e.g., psychology, neuroscience, design, computer science, engineering).

Other programs to strengthen your expertise and expand your network

Explore other short graduate programs (doctoral level)

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Already started your program? Check your course list in HEC en ligne > Academic Progress

3 specialization seminars (9 credits)

You must choose 3 seminars from the following:

MATH 80667A

Experimental Designs and Statistical Methods

Subject

Mathématiques

Program

PhD

Location

Côte-des-Neiges

Instruction mode

On-site learning

Credits

3

This course has four main objectives: 1) to present the major experimental designs used for research in management and in the behavioral sciences; 2) to familiarize students with the statistical methods and a software (e.g., SPSS) to analyze experimental data; 3) to interpret and present results from the statistical analyses and discuss the validity and limits of the results; 4) to understand and to criticize the methodology and statistical results of published articles in the research fields of the students.

Themes covered

Basic principles of experimental designs
Completely randomized designs
Contrasts and multiple testing
Effect sizes and power
Blocked designs and analysis of covariance
Moderation and linear mediation analysis
Introduction to causal inference
Repeated measures designs and introduction to mixed models

See the course webpage
TECH 80747A

Information Technologies and Neuroscience

Subject

Technologies de l'information

Program

PhD

Instruction mode

On-site learning

Credits

3

The seminar includes research based on all types of neurophysiological tools, such as functional magnetic resonance imaging, electroencephalography, physiological measures and molecular genetics. The seminar covers conceptual and empirical works, as well as theoretical and design science research related to themes such as trust, technostress, technology adoption, human-computer interaction, emotional and cognitive processes in IT usage. At the end of this course, students will understand the main neuroscience methods used in IT and they be competent at developing a neuroscience experiment on a topic related to IT research.

Themes covered

1- Neuroscience methods in IT research: It includes research based on all types of neurophysiological tools such as functional magnetic resonance imaging (fMRI) electroencephalograhy (EEG) fNIRS (functional near-infrared spectroscopy) electromyography (EMG) hormone assessments physiological measures (e.g. skin conductance and heart rate measurement) and molecular genetics.

2- Topics of applications in IT: NeuroIS literature shows that papers address the following topics among others: employment of neurophysiological knowledge and tools to examine trust technostress website design technology adoption human-computer interaction emotions in e-commerce information behavior IS design science mental workload social networks usability software development and business process modeling and enterprise systems. Also software prototypes of NeuroIS applications which use bio-signals (e.g. EEG skin conductance pupil dilation) as system input are an essential topic in the field; such systems are referred to as neuro-adaptive information systems. Methodological and ethical discussions are also critical.

See the course webpage
TECH 80723A

Human-Computer Interaction

Subject

Technologies de l'information

Program

PhD

Instruction mode

On-site learning

Credits

3

This course is designed to provide students with an in-depth understanding of human-computer interaction (HCI) and its role in the design, development, and evaluation of information systems. The course will cover the theoretical foundations of HCI, as well as the practical issues related to the design and evaluation of interactive systems. In doing so, the course will prepare students for conducting both academic and practitioner-oriented research in HCI.

Themes covered

1. Human-Computer Interaction
2. Human Factors
3. Perception and cognition
4. Attention and memory
5. Usability engineering
6. User-centered design
7. Social aspects of HCI
8. Privacy and security
9. Ethics and responsibility
10. The dark side of HCI
11. Human-Centered Artificial Intelligence
12. Immersive Environments and Experiences
13. Research methods
14. Research papers and grant proposals
15. Disciplinary differences in HCI

See the course webpage
MARK 80108A

Online Consumer Marketing

Subject

Marketing

Program

PhD

Location

Côte-des-Neiges

Instruction mode

On-site learning

Credits

3

See the course webpage

Deadlines for submitting admission applications

Fall term: no later than March 1st
Winter term: no later than September 15th
Summer term: no admissions

International applicants

This program is offered part time. See our article (in French) to learn about the immigration rules.

Conditions and required documents

Admission requirements

Degree required

You must hold a master’s degree in a field related to the desired program or a degree deemed equivalent by the program administration.

Minimum GPA

You must have earned GPA of at least 3.0 out of 4.3.

If the university in which you completed the master's degree requires a higher GPA for admission to a doctoral program, this is the average to take into account.

Language requirements

Documents required for admission

You will need to provide documents as part of the admission process.

Check the list of required documents

Capacity is limited for certain programs. HEC Montréal does not guarantee that all eligible applicants will be accepted.

Estimated tuition fees

The amounts below are approximate. These amounts do not include the cost of health insurance, course materials, housing,

Each term, you will receive a bill with the exact amount you owe based on your credit load.

Residents of Quebec

You pay the Quebec rate if you are a resident of Quebec according to certain criteria, such as having a Quebec birth certificate or a Québec Selection Certificate.

Total cost of a 9-credit program: $1,700

See if you meet one of the Quebec residence criteria.