Program Introduction
As a result of the significant growth in the use of internet technologies, social media applications, and the Internet of Things, vast amounts of data are now generated, making them difficult to handle and analyze using traditional statistical methods. Therefore, Data Science is considered one of the most exciting disciplines of the twenty-first century and is often referred to as the “oil of the twenty-first century.”
The labor market continues to suffer from a severe shortage of qualified and specialized professionals in data science. Accordingly, this program is offered to bridge this gap by graduating highly qualified Data Science students who are capable of leveraging the latest artificial intelligence technologies to analyze data and extract knowledge.
Therefore, the College of Computing and Informatics at the Saudi Electronic University has introduced an integrated Bachelor’s Program in Data Science, designed and implemented in accordance with international standards and aligned with the latest technologies and methodologies.
- Developing technically qualified Saudi national talents capable of implementing software development projects in accordance with international best practices.
- Enhancing academic and professional skills in the fields of data science and artificial intelligence.
- Enriching students’ experience by enabling them to solve academic and practical problems across various domains.
- Applying best practices to develop comprehensive plans for data analysis projects.
- Preparing students to meet labor market requirements in the field of data science.
- Integrating academic programs by bridging the gap between theoretical advancement and practical applications.
- Identifying computing and mathematics concepts related to the field of specialization.
- Mastering current technologies, skills, and tools required for computing practice.
- Being familiar with logarithmic, computational, and statistical models in data science.
- Understanding the local and global impact of computing on individuals, organizations, and society.
- Analyzing problems and identifying and defining appropriate computing requirements to apply optimal solutions.
- Applying mathematical foundations, logarithmic principles, and data science theories in model development.
- Applying theories and principles using the latest technologies to analyze, design, implement, and test computer-based systems.
- Building models based on machine learning and artificial intelligence using problem-solving strategies and data analysis.
- Working effectively in team-based activities to achieve common goals.
- Identifying the need for continuous professional skills development and the ability to engage all team members.
- Developing data visualization projects for exploration, analysis, and communication.
- Communicating effectively with all data science stakeholders using various communication methods.
- Computer Systems Analyst.
- Data Scientist.
- Software Developer.
- Data Analyst.
- Big Data Analyst.
- Big Data Engineer.
- Financial Data Analyst.
- Machine Learning Systems Engineer.
- Business Intelligence Analyst.
- Big Data Administrator.
- Data Mining Analyst.
