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
2
Total Credit Hours
45
Fees
Free
Study System
إنتظام
Active Students
0
Graduated Students
0
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 Pr. Th.
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 Pr. Th.
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 Pr. Th.
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 Pr. Th.
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.