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Master of Data Science and Artificial Intelligence (MDSA)

About Academic Program

The Master of Science in Data Science and Artificial Intelligence is a graduate program offered by the Department of Computer Science at the College of Computing and Information Technology. The program aims to provide a leading academic model that is scientifically and research-wise distinguished, aligned with international standards in data science and artificial intelligence. The program consists of 38 credit hours distributed over 4 levels (2 years), including 20 core hours, 12 elective hours, and 6 hours for the thesis. The language of instruction is English and the program is based on the credit hours system.

Speciality
Master of Data Science and Artificial Intelligence (MDSA)
Study Language
English
Years Count
2 Years
Academic Degree Program Afford .

Master

Work Scope

"1. Data Scientist 2. Artificial Intelligence Engineer 3. Big Data Analyst 4. Machine Learning and Deep Learning Specialist 5. Data Visualization and Critical Thinking Specialist 6. Business Analytics Consultant 7. Cloud Computing for Data Specialist 8. Academic Researcher in Data Science and AI 9. Data-Driven Decision-Making Specialist 10. Data Programmer (Python or R)"

Speciality Academic Nature

2 years (4 levels)

k1 Demonstrate advanced knowledge of data science fundamentals, artificial intelligence, and statistical methods
k2 Understand machine learning techniques, big data analytics, and data visualization.
S1 : Apply advanced statistical methods and AI techniques for data analysis
S2 Build machine learning and deep learning models to solve complex problems.
S3 Analyze big data and extract knowledge to support decision-making.
S4 Conduct advanced scientific research in data science and artificial intelligence.
V1 Adhere to ethical and professional standards in data handling.
V2

GA1 Ability to apply AI and data science techniques to solve complex problems.
GA2 Conduct advanced scientific research in data science and artificial intelligence.
GA3 Analyze big data and extract knowledge to support decision-making.
GA4 Adhere to ethical and professional standards in data handling.
GA5 Ability to continuously learn and keep up with developments in data science and AI.

1. To learn and understand the key techniques in data science and business analytics using artificial intelligence
2. To learn advanced statistical methods and develop specialized knowledge in problem solving.
3. To interpret, communicate, and apply results in decision-making based on artificial intelligence mechanisms.
4. To develop and enhance scientific and research skills in the field of data science and artificial intelligence.

Code Program Name Required Units

Code Program Name Required Units
CSC 601 مقدمة في علم البيانات 3
CSC 601 تحليل البيانات وطرق 3
CSC 603 مقدمة في الذكاء الاصطناعي 3
CSC 605 طرق البحث 3
CSC 607 تمثيل البيانات والتفكير النقدي 3
CSC 602 تعلم الآلة 3
CSC 604 تحليل البيانات الضخمة 3
CSC 609 رسالة علمية 6

Code Program Name Required Units
CSC 610 الشبكات العصبية والتعلم العميق 3
CSC 611 تحليل الانحدار الحديث 3
CSC 612 موضوعات مختارة في علم البيانات والذكاء الاصطناعي 3
CSC 613 الحوسبة السحابية 3
CSC 614 برمجة البيانات (بلغة ار او بايثون) 3
CSC 615 صنع القرار القائم على البيانات 3

Code Program Name Required Units Previous Requirement
CSC 601 Introduction to Data Science 3 -
CSC 603 Data Analysis and Statistical Methods 3 -
CSC 605 Introduction to Artificial Intelligence 3 -
CSC 607 Research Methods 2 -

Code Program Name Required Units Previous Requirement
CSC 602 Data Visualization and Critical Thinking 3 -
CSC 604 Machine Learning 3 CSC 605

Code Program Name Required Units Previous Requirement
CSC 609 Big Data Analytics 3 CSC 603

Code Program Name Required Units Previous Requirement
CSC 699 Thesis 6 -