Program Introduction
Data Science is considered one of the most exciting fields of the twenty-first century due to the rapid growth in internet usage, social media applications, and the Internet of Things. We now have massive amounts of data that are difficult to manage and analyze using traditional statistical methods, which is why Data Science is often referred to as the “oil of the twenty-first century."
Applying modern sciences and artificial intelligence techniques to analyze data and extract knowledge patterns has become one of the greatest challenges of our time. The labor market still suffers from a severe shortage of qualified professionals to meet the demand in this field. Therefore, the College of Computing and Informatics at the Saudi Electronic University offers a comprehensive Master’s program in Data Science, built and prepared according to global standards using the latest methodologies to equip professionals to successfully and creatively face major challenges in the field of Data Science.
- Achieve a balance between theoretical study of data science and practical, applied aspects.
- Develop academic and professional skills in data science and big data analysis.
- Prepare professionals for applied fields in data science, as well as for students’ self-development and continuous learning.
- Apply best practices to create a comprehensive project management plan.
- Equip professionals to meet labor market demands in areas requiring data science skills across various sectors.
Branches (Male & Female): Riyadh – Jeddah – Dammam
- Applicants must hold a bachelor’s degree in Computer Science, Computer Engineering, Information Systems, Software Engineering, or Information Technology from a university recognized by the Ministry of Education. Degrees obtained from outside the Kingdom must be officially accredited in accordance with approved regulations.
- The minimum cumulative GPA must be 2.00 out of 4.00 or 3.00 out of 5.00, or equivalent. The College Council may grant exceptions, provided the GPA is not less than 1.5 out of 4.00 or 2.5 out of 5.00, or equivalent.
- Applicants must submit a valid score from one of the approved English language tests:
- IELTS (Academic): minimum score of 5
- STEP: minimum score of 76
- TOEFL iBT: minimum score of 45
This requirement is waived for:
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- Graduates of the Saudi Electronic University from programs taught in English with a minimum GPA of 3.5 out of 4.00.
- Applicants who obtained their bachelor’s degree from a university in a country* where English is the native language, provided the university is recognized by the Ministry of Education
*USA, Canada, United Kingdom, Australia, New Zealand.
- The validity of language test scores must not exceed:
- TOEFL iBT: 2 years
- STEP: 3 years
- IELTS (Academic): 2 years
Submission of only one test score is sufficient.
- Applicants must be Saudi nationals or non-Saudis residing within the Kingdom of Saudi Arabia with a valid Iqama.
- Applicants with non-technical bachelor’s degrees, or graduates of technical colleges, must successfully complete the preparatory year before final admission to the program.
- Provisionally admitted applicants must pay the tuition fees for the first semester to obtain final admission.
- Develop algorithms and computational and statistical models in data science.
- Extract, transform, integrate, and load large datasets.
- Evaluate opportunities to apply data science solutions for predictions and analytics in various business systems.
- Coordinate the use and application of descriptive, predictive, and prescriptive analytics principles to address different challenges.
- Develop deep learning programs to support the analysis of complex datasets.
- Distinguish between key theories of machine learning and neural networks.
- Represent and visualize data for exploration, analysis, and clear communication of information.
- Use machine learning and optimization models to support decision-making.
- Apply problem-solving strategies in data analytics.
- Present analytical conclusions and recommendations in written form and through visual charts.
- Integrate multiple computational processes to support data science using widely applied tools and software.
- Understand managerial, ethical, and information privacy challenges in data science.
- Statistical Systems Analyst
- Data Manager
- Computer Systems Analyst
- Data Scientist
- Software Developer
- Data Analyst
- Big Data Engineer
- Financial Data Analyst
- Machine Learning Systems Engineer
- Data Director
- Intelligent Business Systems Engineer
- Big Data Systems Manager
- Data Mining Analyst
- Data Engineer
- Big Data Systems Designer
- Data Visualization and Representation Developer