About the program
The Master of Educational Technology prepares specialists able to use modern technologies and digital innovations to develop learning environments and improve the quality of education.
The program combines the theory of instructional design and effective teaching strategies with applied skills in multimedia, learning management systems, e-learning tools, and virtual and augmented reality.
It develops research and analytical skills to evaluate how well technical solutions address educational challenges, and fosters innovation and continuous development to meet the demands of the digital age.
Graduates are prepared to lead digital transformation initiatives in educational institutions and help shape the future of education locally and globally.
Program outcomes
- Analyze advanced educational theories and models for designing and evaluating digital learning environments.
- In-depth knowledge of current trends in educational technology such as AI, augmented reality and learning analytics.
- Understand the ethical and legal issues of using technology in education at the institutional level.
- Evaluate the effectiveness of digital learning environments with quantitative and qualitative analysis tools.
- Apply critical thinking to propose innovative, technology-based solutions to educational challenges.
- Analyze the educational, social and economic impact of educational technologies in local and global contexts.
- Design advanced digital education projects that account for individual differences and improve the learner experience.
- Use learning design tools such as LMS, SCORM and authoring tools to produce professional e-content.
- Manage and develop e-learning programs in educational institutions efficiently.
- Communicate effectively and present ideas and research findings professionally to academic or practitioner audiences.
- Work in multidisciplinary teams in collaborative digital environments.
- Embrace lifelong learning to keep pace with technological innovation in education.
Study plan
The approved plan in the university system, by semester.
1Semester 1
| Code | Course | Hours | Prerequisite |
|---|---|---|---|
| UNI201 | Principles of Statistics | 3 | — |
| UNI102 | Research Methodology | 3 | — |
| EDT601 | Advanced Instructional Design Theories and Models | 3 | — |
2Semester 2
| Code | Course | Hours | Prerequisite |
|---|---|---|---|
| UNI103 | Academic Writing and Research Skills | 3 | — |
| UNI105 | Using Artificial Intelligence in the Discipline | 3 | — |
| EDT604 | Blended and Mobile Learning | 3 | — |
3Semester 3
| Code | Course | Hours | Prerequisite |
|---|---|---|---|
| EDT602 | Smart Learning Technologies and Adaptive Environments | 3 | — |
| UNI104 | Research Issues | 3 | — |
| EDT606 | Analysis and Measurement Tools in Digital Learning Environments | 3 | — |
4Semester 4
| Code | Course | Hours | Prerequisite |
|---|---|---|---|
| EDT603 | Advanced E-Content Design | 3 | — |
| EDT610 | Completing the thesis for its defense after the fourth semester | 6 | — |