Tuition Fee
Not Available
Start Date
Not Available
Medium of studying
Not Available
Duration
2 semesters
Details
Program Details
Degree
Masters
Major
Artificial Intelligence | Data Analysis | Data Science
Area of study
Information and Communication Technologies | Mathematics and Statistics
Course Language
English
About Program
Program Overview
Master's in Data Science Program
The Master's in Data Science program is designed to graduate students with a solid knowledge of data science, preparing them to compete successfully for jobs in the high-demand artificial intelligence industry.
Program Overview
- Duration: 2 semesters
- Total Credit Hours: 45
- Study System: إنتظام
Admission Requirements
- The applicant must hold a Bachelor's degree in Computer Science or a related field, mathematics, or statistics.
- The applicant's overall GPA must be at least "Good".
- The applicant must have passed the General Aptitude Test for University Students.
- The following courses must be covered in the Bachelor's degree: Programming, Data Structures and Algorithms, Databases, Computer Networks, and Operating Systems.
- Efficiency in English: An applicant must either submit proof of having completed their Bachelor's degree with English as the medium of instruction or provide evidence of English proficiency through standardized tests such as IELTS, TOEFL, STEP, etc.
Program Objectives
The Master of Science in Data Science program aims to:
- Demonstrate knowledge of statistical data analysis techniques used in decision-making.
- Apply data science principles to business problem analysis.
- Prepare students to understand and apply data science techniques and algorithms to achieve organizational goals.
- Empower students to solve problems involving large and diverse datasets from various application areas.
- Develop programming skills in data analysis, visualization, machine learning, and data mining.
- Produce highly qualified data science professionals for the Saudi Arabian sector.
- Prepare students for career advancement in all fields of information science and technology.
Plan of Study
Semester One
| Course Title | Prerequisite | Credits | Total Credits |
|---|---|---|---|
| Fundamentals of Data Science | - | 3 | 3 |
| Computational Mathematics | - | 3 | 3 |
| Programming for Data Science | - | 3 | 3 |
| Advanced Topics in Databases | - | 3 | 3 |
| TOTAL | 12 | 12 |
Semester Two
| Course Title | Prerequisite | Credits | Total Credits |
|---|---|---|---|
| Machine Learning | CSC641 | 3 | 3 |
| Research Methods | - | 3 | 3 |
| Data Mining | CSC641 | 3 | 3 |
| Data Visualization | CSC650 | 3 | 3 |
| TOTAL | 12 | 12 |
Semester Three
| Course Title | Prerequisite | Credits | Total Credits |
|---|---|---|---|
| Information Retrieval | CSC641 | 3 | 3 |
| Big Data Analytics | CSC640 | 3 | 3 |
| Seminar in Data Science | Completion of 18 credit hours | 3 | 3 |
| Research Project 1 | Completion of 21 credit hours | 4 | 4 |
| TOTAL | 13 | 13 |
Semester Four
| Course Title | Prerequisite | Credits | Total Credits |
|---|---|---|---|
| Data Science Professional and Ethical issues | - | 3 | 3 |
| Elective Course | Completion of 30 credit hours | 3 | 3 |
| Research Project 2 | CIS624 | 4 | 4 |
| TOTAL | 10 | 10 |
Elective Courses
| Course Title | Prerequisite | Credits | Total Credits |
|---|---|---|---|
| Text Analytics | Completion of 30 credit hours | 3 | 3 |
| Neural Networks and Deep Learning | Completion of 30 credit hours | 3 | 3 |
| Bioinformatics | Completion of 30 credit hours | 3 | 3 |
| Parallel Computing | Completion of 30 credit hours | 3 | 3 |
| Decision Support Systems | Completion of 30 credit hours | 3 | 3 |
| Selected topics in Data Science | Completion of 30 credit hours | 3 | 3 |
Career Fields
The Master's program in Data Science at the University of Tabuk can open up numerous career opportunities in diverse fields, including:
- Data Analysis: Work as a data analyst in various sectors, analyzing and interpreting data to extract valuable insights and information.
- Machine Learning and Artificial Intelligence: Develop algorithmic models to enhance intelligent systems in technology companies.
- Healthcare: Analyze medical data to improve healthcare services and develop treatment systems.
- Finance and Banking: Analyze financial data to improve investment strategies and risk management.
- Digital Marketing: Use data to understand consumer behavior and enhance marketing strategies.
- Big Data Projects: Manage and analyze large datasets for large companies and organizations.
- Academic Research: Work at universities or research centers to develop scientific research based on data analysis.
- Technology and Communications: Develop innovative technological solutions for data analysis in telecommunications and IT companies.
- Consulting: Provide consulting services to companies to improve data-driven decisions and strategies.
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