Master of Science in Artificial Intelligence
Description:
The Master of Science in Artificial Intelligence program at Qassim University is an important and essential part of the university's commitment to academic excellence and the promotion of scientific research, in line with its vision, mission and strategic objectives. Since its inception, the program has sought to meet the Kingdom's needs for specialized competencies, in addition to supporting national development through the graduation of qualified cadres possessing advanced technical skills. The study plan covers a wide range of basic and advanced topics in artificial intelligence with an emphasis on combining theoretical and applied aspects to qualify students to keep pace with the rapid developments in this field. In addition to academic education, the program pays great attention to scientific research, encouraging students to carry out innovative research projects that contribute to solving modern technological challenges and enhancing knowledge production. The program also contributes to the development of students' research capabilities by providing a stimulating academic environment that supports creativity and development. By integrating the university's goals with global academic practices, the program seeks to prepare qualified researchers, competent professionals, and innovators who are able to find effective solutions to technical challenges and are ethically responsible towards society. The program enables its graduates to possess the knowledge and skills necessary to succeed in local and international work environments, whether in industry, academia, or research.
Eligible Applicants
Students
Method of study
Courses and Thesis, Courses and Research Project
Degree
Master
School level
Postgraduate studies
Place of study (Male Students)
Buraydah - Qassim Region - College Headquarters
Place of study (female students)
Buraydah - Qassim Region - College Headquarters (Female Section)
Required specialization
Bachelor's in Artificial Intelligence
Admission from outside the major
Admission of other majors related to computer majors on the condition of passing the supplementary courses approved by the scientific department
Years of study
2
Study period
None
Number of Credit Hours
42
Credits required for graduation
42
STEP test
60
Other conditions
None
Tuition fees
60,000
Required GPA
of at least 5
2.75
of at least 4
1.75
of at least 100
70
Preference Mechanism for Admission
GPA
50%
Undergraduate Aptitude Test
50%
Differentiation test
None
Educational goals :
1- Providing the necessary knowledge to qualify students scientifically and practically in the field of artificial intelligence
2- Providing the skills needed to develop a career path for students in the field of artificial intelligence in government agencies and the corporate sector.
3- Developing students' research skills in dealing with issues in the field of artificial intelligence
4- Developing students' effective communication skills to enable them to engage in academic and professional organizations
5- Providing an opportunity for students with university degrees to obtain a master's degree and prepare them to complete their studies and obtain a doctorate in artificial intelligence
Learning outcomes :
1- Ability to understand AI theories and fundamentals.
2- The ability to develop new knowledge gained through innovative scientific research that contributes to the field of AI.
3- Ability to communicate effectively in a variety of professional contexts.
4- Ability to analyze complex problems and apply theories and other relevant disciplines in the field to identify solutions.
5- Ability to innovate, design, implement and evaluate AI research and investigations.
6- Possesses the skills to effectively use modern technical, digital and information technology applications to create innovative digital knowledge and solutions and meet various needs in the field of artificial intelligence.
7- Ability to work effectively as a team member or leader engaged in appropriate activities in the field of AI.
Tracks :
1- Master of Science in Artificial Intelligence
Career opportunities:
Career and research opportunities and managerial positions in the following areas:
1. Data Warehouses
2) Data Mining
3- Machine Learning
4. Data Science
5- Robots
Symbol: MAIP
Issue number: 451
Total hours: 42
Compulsory: 24
Optional: 18
Compulsory courses
First level
Symbol | Name | Hours | My theory | My work | Requirement | Classification |
---|---|---|---|---|---|---|
AI 601 | The Basis of Artificial Intelligence | 3 | 3 | 0 | Specialty requirements | |
AI 603 | Search methods | 3 | 3 | 0 | Specialty requirements | |
AI 602 | Machine learning | 3 | 3 | 0 | Specialty requirements |
Second level
Symbol | Name | Hours | My theory | My work | Requirement | Classification |
---|---|---|---|---|---|---|
AI 604 | Deep learning | 3 | 3 | 0 | Specialty requirements | |
AI 605 | Natural Language Processing | 3 | 3 | 0 | Specialty requirements | |
AI 606 | Artificial Intelligence Ethics | 3 | 3 | 0 | Specialty requirements |
Third level
Symbol | Name | Hours | My theory | My work | Requirement | Classification |
---|---|---|---|---|---|---|
AI 698 | Research Project1 | 2 | 2 | 0 | Specialty requirements |
Fourth level
Symbol | Name | Hours | My theory | My work | Requirement | Classification |
---|---|---|---|---|---|---|
AI 699 | Research Project 2 | 4 | 4 | 0 | Specialty requirements |
Optional courses
Symbol | Name | Hours | My theory | My work | Requirement | Classification |
---|---|---|---|---|---|---|
AI 609 | Reinforced learning | 3 | 3 | 0 | Specialty requirements | |
AI 607 | Artificial Intelligence Law and Formation | 3 | 3 | 0 | Specialty requirements | |
AI 611 | Fairness in Machine Learning | 3 | 3 | 0 | Specialty requirements | |
AI 612 | Computational Aspects of Robotics | 3 | 3 | 0 | Specialty requirements | |
AI 613 | Multi-agent systems | 3 | 3 | 0 | Specialty requirements | |
AI 615 | Discovering knowledge from text | 3 | 3 | 0 | Specialty requirements | |
AI 624 | Graph Theory | 3 | 3 | 0 | Specialty requirements | |
AI 610 | Probabilistic algorithms | 3 | 3 | 0 | Specialty requirements | |
AI 614 | Optimization methods in machine learning | 3 | 3 | 0 | Specialty requirements | |
AI 616 | Computational complexity | 3 | 3 | 0 | Specialty requirements | |
AI 617 | Mathematical Game Theory | 3 | 3 | 0 | Specialty requirements | |
AI 618 | Pattern Recognition | 3 | 3 | 0 | Specialty requirements | |
AI 619 | Business intelligence | 3 | 3 | 0 | Specialty requirements | |
AI 620 | Information retrieval | 3 | 3 | 0 | Specialty requirements | |
AI 621 | Visualization of information | 3 | 3 | 0 | Specialty requirements | |
AI 622 | Human-Computer Interaction | 3 | 3 | 0 | Specialty requirements | |
AI 623 | Modeling Uncertainty in Artificial Intelligence | 3 | 3 | 0 | Specialty requirements | |
AI 608 | Computer vision | 3 | 3 | 0 | Specialty requirements |