Islamic University of Medinah

MSc Data Science

about the program
The program aims to:

1- Providing scientific cadres in the field of data science to achieve self-sufficiency in the future.

2- Integration with other disciplines that serve the Saudi society.

3- Enriching and consolidating current scientific concepts with studies and research that seek to advance theoretical and applied knowledge of scientific research and its techniques.

4- Achieving scientific cooperation between the Islamic University and Saudi and international universities in the field of data science through joint research.

5- Finding new jobs related to this specialization.

Terms of application and admission mechanism
In addition to the general conditions for admission to postgraduate programs at the Islamic University, there are some additional conditions for the program, as follows:

1- Obtaining a four-year bachelor's degree from a recognized university in a major (computer science) or one of the computer specializations.

2- The cumulative GPA in the bachelor’s degree is not less than 3 out of 4 or its equivalent in the major (the original copies of certificates are required for final admission)

3- Obtaining one of the following scores in approved English language tests:

TOEFL
PBT
At least 520 degrees

CBT
at least 180 degrees

IBT
at least 60 degrees

IELTS
At least 5.5

4- Obtaining an acceptable score in the GRE test.

5- Submitting at least three letters of recommendation from professors who have previously taught in advanced subjects (sealed and signed).

6- Passing the personal interview.

7- Matching all admission requirements for postgraduate studies at the Islamic University.

8- A letter of the purpose of the study.

9- The original certificate and transcript.

Justifications for presenting the program:
1- This program is a unique opportunity for students to excel in the emerging field of data science.

2- Serving the department’s teaching assistants, and providing the necessary effort and time to obtain admission to postgraduate programs in other universities.

3- Achieving scientific research that contributes to the enrichment of building edifices of science and the development of the knowledge economy.

4- Involving the government and private sectors in benefiting from large and huge data and appending the possibility of managing, processing and analyzing them in order to benefit from it in decision-making.

المواد المقررة

مقررات ماجستير علم البيانات
الرمز		الرقم	الاسم
حسب	CSD	5130	Massive Data Storage, Retrieval and Tools	تخزين البيانات الضخمة واسترجاعها وأدواتها
حسب	CSD	5140	Massive Data Mining	التنقيب في البيانات الضخمة
حسب	CSD	5150	Business Intelligence with Visual Analytics	ذكاء الأعمال و التحليلات المرئية
حسب	CSD	5251	Data Interaction and Visual Analytics	تفاعل البيانات والتحليل المرئي
حسب	CSD	5132	Practical Data Science	علم البيانات العملي
حسب	CSD	5110	Machine Learning	علم الآلة
حسب	CSD	5152	Information Visualization and Presentation	عرض المعلومات المرئي
حسب	CSD	5111	Deep Learning	التعلم العميق
حسب	CSD	5141	Big Data Analytics	تحليل البيانات الكبيرة
حسب	CSD	5241	Text Information Systems	نظم معلومات النصوص
حسب	CSD	5160	Artificial Intelligence	الذكاء الاصطناعي
حسب	CSD	5133	Advanced Database Management Systems	نظم إدارة قواعد البيانات المتقدمة
حسب	CSD	5170	Design and Analysis of Algorithms	تصميم وتحليل الخوارزميات
حسب	CSD	5242	Data Preparation for Data Analytics	إعداد البيانات للتحليل
حسب	CSD	5200	Advanced Statistical Methods for Data Sciences	طرق الإحصاء المتقدمة لعلوم البيانات
حسب	CSD	5101	Probability and Statistical Theory for Data Science	نظرية الاحتمالات والإحصاء لعلوم البيانات
حسب	CSD	5240	Regression and Time Series Analysis	تحليل سلسل الانحدار والوقت
حسب	CSD	5131	Data Wrangling and Husbandry	اخلاقيات البيانات والتربية
حسب	CSD	5100	Linear Programing	البرمجة الخطية
حسب	CSD	5092	Thesis Proposal	مقترح الرسالة
حسب	CSD	5091	Research Thesis	الرسالة
حسب	CSD	5093	Research Seminar	حلقة بحث

المقررات باللغة الانجليزية

Core Courses

MS core courses

Advanced Research Methodology	MCS 5198
Advanced Simulation and Modeling	MCS 5121

Data Science Specialization Core Courses

Massive Data Storage, Retrieval and Tools	CSD 5130
Massive Data Mining	CSD 5140
Business Intelligence with Visual Analytics	CSD 5150
Data Interaction and Visual Analytics	CSD 5251

List of Electives – A Category

Practical Data Science	CSD 5132
Machine Learning	CSD 5110
Information Visualization and Presentation	CSD 5152
Deep Learning	CSD 5111
Big Data Analytics	CSD 5141
Text Information Systems	CSD 5241
Artificial Intelligence	CSD 5160
Advanced Database Management Systems	CSD 5133
Design and Analysis of Algorithms	CSV 5170
Cloud Security	ITS 5112
Database Security	ITS 5222
Trusted Computing	ITS 5133
Big Data Security and Privacy	ITS 5232
Communication and Information Security	ITS 5110
Computer Vision	MCS 5141
Advanced Data Mining	MCS 5163
Advanced Computer Graphics	CSV 5211
Cloud Computing	MCS 5236
Data Preparation for Data Analytics	CSD - 5242

List of Electives – B Category

Advanced Statistical Methods for Data Sciences	CSD 5200
Probability and Statistical Theory for Data Science	CSD 5101
Regression and Time Series Analysis	CSD 5240
Data Wrangling and Husbandry	CSD 5131
Linear Programing	CSD 5100

Faculty of Computer and Information Systems

MSc Data Science

MSc Data Science

المواد المقررة