Master of Science in Data Science
Description:
Data science is one of the most important and most demanded disciplines at the local and global level, in light of the developments and the big data revolution that the world is witnessing and the great importance it includes at the level of countries, bodies and institutions, and the presence of specialists to deal with these data and analyze them in the required manner, the existence of graduate programs in this field has become an urgent necessity. The wise government in the Kingdom of Saudi Arabia has paid great attention to supporting and building a knowledge economy, investing national minds and keeping pace with the world in modern disciplines in order to serve the labor market in the Kingdom and achieve its requirements in line with Vision 2030 and to achieve development plans. Hence, the idea of introducing the Master of Science in Data Science program in the Department of Information Technology to be part of a series of postgraduate programs offered by Qassim University as one of the trends at the national and international level to contribute to: - Keeping up with the rapid developments in the field of data science. - Meeting the needs of the labor market with academically and scientifically qualified competencies. - Providing graduates with the most important basic skills that help them deal with big data and design and produce high-quality programs and systems that provide appropriate economic and commercial solutions while taking advantage of the best practices in this field. - Giving students the opportunity to hone their thinking skills, creative analysis and scientific research, in addition to gaining experience through distinguished practical practice.
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 of Science in Data Science
Admission from outside the major
Admission from relevant disciplines (Programming, Cybersecurity, Artificial Intelligence, Robotics, Data Science, Data Science, Visual Communication and Design, Computer Information Systems, Internet of Things)
Years of study
2
Study period
Number of Credit Hours
37
Credits required for graduation
37 for the thesis track and 34 for the research project track
STEP test
60
Tuition fees
60,000
Required GPA
of at least 5
3
of at least 4
2
of at least 100
72.5
Preference Mechanism for Admission
GPA
50%
Undergraduate Aptitude Test
50%
Differentiation test
N/A
Educational goals :
1- Preparing students specialized in education, scientific research and professional development in the various fields of data science to implement development plans capable of providing scientific and training programs for workers in institutions and organizations as part of community service activities.
2- Preparing students for the labor market by providing them with advanced education that meets their needs and develops their expertise and abilities to obtain scientific and technical skills in the advanced and modern fields of data science and big data analysis.
3- Students acquire the skills of independent learning, long-term learning, entrepreneurship, and acquiring new advanced knowledge, as well as enabling them to master the use of technology and practice effective communication to contribute to solving issues.
4- Preparing highly qualified graduates equipped with advanced, deep and specialized knowledge in the field of data science.
5- Providing all industrial sectors and scientific institutions with specialized expertise and distinguished competencies as a tangible reality that supports the Kingdom's manpower.
Learning outcomes :
1- The ability to develop new knowledge gained through innovative scientific research that contributes to the overall field of data science.
2- Ability to communicate effectively in a variety of professional contexts.
3- Ability to analyze complex problems and apply theories and other relevant disciplines in the field to identify solutions.
4- Ability to innovate, design, implement and evaluate data science research and investigations.
5- Possesses the skills to effectively use modern technical, digital and information technology applications to create innovative digital knowledge and solutions and meet different needs in the field of data science.
6- Ability to work effectively as a team member or leader engaged in appropriate activities in the field of data science.
Tracks :
1- Master of Science in Data Science
Career opportunities:
Career and research opportunities and managerial positions in the following areas:
1. Databases and data warehouses
2. Data Engineering
3- Data Scientist
4. Business Intelligence
5. Analyze the data
6. Big Data
6. Data visualization and representation
Science in Data Science - Thesis
Track name: Science in Data Science - Thesis
Symbol: MITR
Issue number: 451
Total hours: 38
Compulsory: 26
Optional: 12
Compulsory courses
First level
Symbol | Name | Hours | My theory | My work | Requirement | Classification |
---|---|---|---|---|---|---|
IT 625 | Machine learning and data analytics | 4 | 4 | 0 | Specialty requirements | |
IT 620 | Advanced Data Mining | 4 | 4 | 0 | Specialty requirements |
Second level
Symbol | Name | Hours | My theory | My work | Requirement | Classification |
---|---|---|---|---|---|---|
IT 627 | Analyzing Big Data | 4 | 4 | 0 | Specialty requirements | |
IT 626 | Programming in Data Science | 4 | 4 | 0 | Specialty requirements |
Third level
Symbol | Name | Hours | My theory | My work | Requirement | Classification |
---|---|---|---|---|---|---|
IT 628 | Search methods | 3 | 3 | 0 | Specialty requirements |
Fourth level
Symbol | Name | Hours | My theory | My work | Requirement | Classification |
---|---|---|---|---|---|---|
IT 629 | Data Science Research Symposium | 1 | 1 | 0 | Specialty requirements |
Sixth level
Symbol | Name | Hours | My theory | My work | Requirement | Classification |
---|---|---|---|---|---|---|
IT 695 | Mission | 6 | 1 | 0 | Specialty requirements |
Optional courses
Symbol | Name | Hours | My theory | My work | Requirement | Classification |
---|---|---|---|---|---|---|
IT 638 | Data analysis tools and applications | 3 | 3 | 0 | Specialty requirements | |
IT 639 | Smart Apps and Decision Making | 3 | 3 | 0 | Specialty requirements | |
IT 680 | Optimization techniques | 3 | 3 | 0 | Specialty requirements | |
IT 681 | Edge computing | 3 | 3 | 0 | Specialty requirements | |
IT 682 | Natural Language Processing | 3 | 3 | 0 | Specialty requirements | |
IT 683 | Data Science and Man | 3 | 3 | 0 | Specialty requirements | |
IT 684 | Decision support and expert systems | 3 | 3 | 0 | Specialty requirements | |
IT 685 | Information retrieval | 3 | 3 | 0 | Specialty requirements | |
IT 686 | Developing applications for data science | 3 | 3 | 0 | Specialty requirements | |
IT 687 | Medical informatics | 3 | 3 | 0 | Specialty requirements | |
IT 688 | Advanced Selected Topics in Data Science | 3 | 3 | 0 | Specialty requirements | |
IT 637 | Computational intelligence | 3 | 3 | 0 | Specialty requirements | |
IT 635 | Distributed database systems | 3 | 3 | 0 | Specialty requirements | |
IT 634 | Computer vision | 3 | 3 | 0 | Specialty requirements | |
IT 633 | Recommendation systems | 3 | 3 | 0 | Specialty requirements | |
IT 632 | Data Science in Data Governance and Management | 3 | 3 | 0 | Specialty requirements | |
IT 631 | Statistics in Data Science | 3 | 3 | 0 | Specialty requirements | |
IT 630 | Deep learning techniques | 3 | 3 | 0 | Specialty requirements | |
IT 636 | Data visualization | 3 | 3 | 0 | Specialty requirements |
Science in Data Science - Project
Track name: Science in Data Science - Project
Symbol: MITP
Issue number: 451
Total hours: 43
Compulsory: 22
Optional: 21
Compulsory courses
First level
Symbol | Name | Hours | My theory | My work | Requirement | Classification |
---|---|---|---|---|---|---|
IT 626 | Programming in Data Science | 4 | 4 | 0 | Specialty requirements | |
IT 625 | Machine learning and data analytics | 4 | 4 | 0 | Specialty requirements | |
IT 620 | Advanced Data Mining | 4 | 4 | 0 | Specialty requirements |
Second level
Symbol | Name | Hours | My theory | My work | Requirement | Classification |
---|---|---|---|---|---|---|
IT 627 | Analyzing Big Data | 4 | 4 | 0 | Specialty requirements | |
IT 628 | Search methods | 3 | 3 | 0 | Specialty requirements |
Fourth level
Symbol | Name | Hours | My theory | My work | Requirement | Classification |
---|---|---|---|---|---|---|
IT 697 | Research Project (1) | 1 | 1 | 0 | Specialty requirements |
Fifth level
Symbol | Name | Hours | My theory | My work | Requirement | Classification |
---|---|---|---|---|---|---|
IT 694 | Research Project (2) | 2 | 2 | 0 | Specialty requirements |
Optional courses
Symbol | Name | Hours | My theory | My work | Requirement | Classification |
---|---|---|---|---|---|---|
IT 638 | Data analysis tools and applications | 3 | 3 | 0 | Specialty requirements | |
IT 688 | Advanced Selected Topics in Data Science | 3 | 3 | 0 | Specialty requirements | |
IT 637 | Computational intelligence | 3 | 3 | 0 | Specialty requirements | |
IT 635 | Distributed database systems | 3 | 3 | 0 | Specialty requirements | |
IT 634 | Computer vision | 3 | 3 | 0 | Specialty requirements | |
IT 633 | Recommendation systems | 3 | 3 | 0 | Specialty requirements | |
IT 632 | Data Science in Data Governance and Management | 3 | 3 | 0 | Specialty requirements | |
IT 630 | Deep learning techniques | 3 | 3 | 0 | Specialty requirements | |
IT 636 | Data visualization | 3 | 3 | 0 | Specialty requirements | |
IT 639 | Smart Apps and Decision Making | 3 | 3 | 0 | Specialty requirements | |
IT 680 | Optimization techniques | 3 | 3 | 0 | Specialty requirements | |
IT 681 | Edge computing | 3 | 3 | 0 | Specialty requirements | |
IT 682 | Natural Language Processing | 3 | 3 | 0 | Specialty requirements | |
IT 683 | Data Science and Man | 3 | 3 | 0 | Specialty requirements | |
IT 684 | Decision support and expert systems | 3 | 3 | 0 | Specialty requirements | |
IT 685 | Information retrieval | 3 | 3 | 0 | Specialty requirements | |
IT 686 | Developing applications for data science | 3 | 3 | 0 | Specialty requirements | |
IT 687 | Medical informatics | 3 | 3 | 0 | Specialty requirements | |
IT 631 | Statistics in Data Science | 3 | 3 | 0 | Specialty requirements |