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موقع حكومي رسمي تابع لحكومة المملكة العربية السعودية
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Master of Science in Computing Major: (Data Science)

About The Academic Program

The Master of Science in Computing Science (Data Science) program represents a qualitative leap in specialized technical education for women, combining high-level academic foundations with the latest applied skills demanded by today's job market. Launched in 2017 through a strategic partnership with Dublin City University (DCU) in Ireland, the program is designed with an innovative methodology to prepare women competencies capable of managing and analyzing all types of data (including big data), as well as developing predictive models and intelligent solutions that enhance efficiency and support critical decision-making in key economic, commercial, and vital sectors. Since its inception, the program has undergone continuous development to ensure it keeps pace with rapid advancements in the field and remains fully aligned with local and global market demands. This is in harmony with the objectives of Saudi Arabia’s Vision 2030 to build a knowledge-based digital economy while considering sustainable development goals. As such, the program equips its graduates with the ability to bridge the significant and growing gap in data science, compete with distinction in one of the world’s most in-demand fields, and contribute effectively to leading national and regional digital transformation in the age of artificial intelligence.

Major

Data Science

Language of instruction

English

Duration

2 Years

Academic degree

Master of Science in Computing Major: (Data Science)

Career opportunities

•Data Analyst •Data Engineer •Data Scientist •Data Assurance Specialist •Data Quality Specialist •Analytics Manager •Data Architect •Analytics Consultant

Nature and Goals of the Program

This is a two-year fulltime curriculum with four semesters The student will obtain a Master degree in the master of Science in Computing (Data Science)

1 Cultivate data science expertise in the workforce to ensure proficiency in data science projects implementation.
2 Empower data science graduates with an entrepreneurial mindset to drive innovation and create new ventures.
3 Support sustainable development goals by using data-driven solutions to address societal challenges and fostering local and global collaborations.
4 Promote commitment to professional ethics, responsibility, scientific research in the field of data science.
5 Maintain data science expertise through self-motivation and lifelong learning to keep pace with field advancements.
6 Develop an engaging learning environment that encourages learning, development, creativity, and innovation.

1 Explain core and advanced concepts, theories, methods and operational characteristics at the forefront of knowledge pertaining to computing, statistics, data science and big data technologies.
2 Critically describe the main characteristics of the technical tools used to process, analyze and visualize data.
3 Critique the advances in data science in terms of theories, tools, technologies, and applications.
4 Explain the principles and application of quantitative and qualitative research methods and professional practice in data science.
5 Critically analyze data science problems, design models to solve them discuss and interpret the results.
6 Adapt and use appropriate technologies for efficient practical problem-solving and results evaluation.
7 Select, justify, and apply appropriate research methodologies in data science projects.
8 Communicate effectively and correctly both orally and in writing through appropriate presentations.
9 Show commitment to continuous self-development and life learning to keep up with the advances and challenges in data science and related areas.
10 Participate actively in teamwork, professional and ethical practices, and social responsibility.

1 Data handling proficiency and statistical analysis.
2 Advanced data analytics.
3 Critical thinking and problem solving.
4 Foundation in scientific research.
5 Effective verbal and written communication.
6 Effective collaboration in team projects.
7 Entrepreneurial mindset.
8 Curiosity and lifelong learning.
9 Ethical and social responsibility.

Study Plan •

Course Code Course Title Credit Pre-Requisite
Machine Learning 4
Data management and Visualization 4
Statistical Data Analysis 5

Course Code Course Title Credit Pre-Requisite
Mathematical Methods and Computational Science 4
Data Analytics and Data Mining 4 DCS873
Information Retrieval and Web Search 4

Course Code Course Title Credit Pre-Requisite
Professional and Research Practice 5
Advanced Topics in Data Science and Technologies 4 DIS827
Cloud Computing and Big Data Analytics 4

Course Code Course Title Credit Pre-Requisite
Research Project 6 DCS881