- Data science is considered as the most exciting specialty in the twenty-first century, as a result of the great development in usage of Internet technologies, social networking applications and the Internet of things, therefore, we now have huge amounts of data that are difficult to handle and analyze by the traditional statistical methods. Thus, the specialty of data science has become called the oil of the twenty-first century.

- The labor market is still suffering from a severe shortage of qualified data scientists. Thus, this program is introduced to fill in the gap by graduating highly qualified data scientists, who can make use of the latest artificial intelligence techniques to analyze data and extract knowledge.

- Therefore, the College of Computing and Informatics in the Saudi Electronic University presenting an integrated program for the Bachelor of Data Science, that was implemented based on international standards and conform with the latest techniques and methods.

1. Development of a technically proficient workforce comprising of Saudi citizens capable of carrying out software development projects to the best of international standards.

2. Developing both academic and professional skills in the domain of data science and AI.

3. Enhancing students' experience by enabling them to solve academic and practical problems in their areas of specialization.

4. Implementing best practices to develop comprehensive data analysis projects plans.

5. Preparing students to meet the labor market requirements in data science domains.

6. Integrating the academic programs by bridging the gap between theoretical advances and practical applications.

8 semesters.

1. Recognize the concepts of computing and mathematics related to the discipline.

2. Master the current techniques, skills, and tools necessary for the computing practice.

3. Demonstrate algorithmic, computational, and statistical models in data science.

4. Comprehend the local and global impact of computing on individuals, organizations, and the society.

5. Analyze a problem, identify and define the computing requirements appropriate to its solution.

6. Apply mathematical foundations, algorithmic principles, and Data science theories in modeling.

7. Implement theories and principles using cutting edge technologies in the analysis, design, implementation and testing of computer-based systems.

8. Construct machine learning and AI optimization models using problem-solving strategies for data analytics.

9. Function effectively on teamwork activities to accomplish a common goal.

10. Identify the needs for continuous development of professional skills with the ability to engage all group members.

11. Develop projects to visualize data for exploration, analysis, and communication.

12. Communicate effectively with a range of audiences, both orally and in a written form, using appropriate media.

Data Administrator.

Computer Systems Analyst.

Data Scientist.

Software Developer.

Data Analyst.

Big Data Analyst.

Financial Data Analyst.

Machine Learning Engineer.

Business Intelligence Analyst.

Big Data Administrator.

Data Mining Analyst.

Big Data Architect.

Data Visualization Developer.