Master's in Data Science

Master's

Faculty of Computers and Information Technology

Given the growing needs of the industry, the mission of the Master of Science in Data Science program is to graduate students with a solid knowledge of data science and prepare them to compete successfully for jobs in the high-demand artificial intelligence industry.

Duration Semesters

Total Credit Hours

Study System

إنتظام

Curriculum Plan

Admission Requirements

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.

For more information, please refer to:

Plan of Study

Semester One

Course Title		Prerequisite	Credits		Total Credits	المقرر
Course Title	Code/No	Prerequisite	Pr.	Th.	Total Credits	المقرر
Fundamentals of Data Science	CSC640	-	-	3	3	أساسيات علم البيانات
Computational Mathematics	CSC641	-	-	3	3	الرياضيات الحاسوبية
Programming for Data Science	CSC650	-	-	3	3	البرمجة لعلم البيانات
Advanced Topics in Databases	CIS680	-	-	3	3	مواضيع متقدمة في قواعد البيانات
TOTAL				12	12	المجموع

Semester Two

Course Title		Prerequisite	Credits		Total Credits	المقرر
Course Title	Code/No	Prerequisite	Pr.	Th.	Total Credits	المقرر
Machine Learning	CSC603	CSC641	-	3	3	التعلم الآلي
Research Methods	CIS608	-	-	3	3	طرق بحث
Data Mining	CSC617	CSC641	-	3	3	تنقيب البيانات
Data Visualization	CIS651	CSC650	-	3	3	عرض البيانات
TOTAL				12	12	المجموع

Semester Three

Course Title		Prerequisite	Credits		Total Credits	المقرر
Course Title	Code/No	Prerequisite	Pr.	Th.	Total Credits	المقرر
Information Retrieval	CSC613	CSC641	-	3	3	أنظمة استرجاع المعلومات
Big Data Analytics	CIS641	CSC640	-	3	3	تحليل البيانات الضخمة
Seminar in Data Science	CIS670	Completion of 18 credit hours	-	3	3	سمنار في علم البيانات
Research Project 1	CIS624	Completion of 21 credit hours	-	4	4	مشروع بحثي 1
TOTAL				13	13	المجموع

Semester Four

Course Title		Prerequisite	Credits		Total Credits	المقرر
Course Title	Code/No	Prerequisite	Pr.	Th.	Total Credits	المقرر
Data Science Professional and Ethical issues	CIS690	-	-	3	3	قضايا علم البيانات المهنية والأخلاقية
Elective Course	-	Completion of 30 credit hours	-	3	3	مقرر اختياري
Research Project 2	CIS625	CIS624	-	4	4	مشروع بحثي 2
TOTAL				10	10	المجموع

Elective Courses

Course Title		Prerequisite	Credits		Total Credits	المقرر
Course Title	Code/No		Pr.	Th.
Text Analytics	CIS684	Completion of 30 credit hours	-	3	3	تحليل النصوص
Neural Networks and Deep Learning	CSC604	Completion of 30 credit hours	-	3	3	الشبكات العصابية والتعلم العميق
Bioinformatics	CSC615	Completion of 30 credit hours	-	3	3	البيانات الحيوية
Parallel Computing	CSC618	Completion of 30 credit hours	-	3	3	الحوسبة المتوازية
Decision Support Systems	CIS682	Completion of 30 credit hours	-	3	3	أنظمة دعم القرار
Selected topics in Data Science	CIS622	Completion of 30 credit hours	-	3	3	مواضيع مختارة في علم البيانات

Career Fields

The Master's program in Data Science at the University of Tabuk can open up numerous career opportunities in diverse fields. Here are some of them:

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.

These fields offer diverse opportunities for graduates to leverage their data science skills to contribute to improved performance and data-driven decision-making.

Last Modified Date:2026/01/08 - 10:39 AM19/Rajab/1447 - 13:39Saudi Arabia Time

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