King Fahd University of Petroleum and Minerals

Overview

The Bachelor of Science in Data Science and Engineering at King Fahd University of Petroleum and Minerals (KFUPM) offers a comprehensive education that merges data-driven methodologies with a solid engineering foundation. This program is meticulously designed to equip students with practical skills in analytics, modeling, and intelligent systems, preparing them for a variety of roles in the fields of data science, software analytics, and technology-driven research.

What you'll study

The structure of the program is thoughtfully crafted to encompass a range of essential topics, which typically include:

• Foundational Engineering & Computing: Core concepts in programming, software fundamentals, and computational problem-solving.
• Mathematics & Statistics: Techniques that support data analysis and modeling.
• Data Science & Machine Learning: Key algorithms, model development, and evaluation processes.
• Data Engineering: Exploration of data pipelines, storage and processing concepts, along with practical implementations.
• Capstone / Project Work: Integrative projects that apply multiple topics; the format may vary.

Academic Expectations:

• Courses progress from foundational knowledge to advanced applied analytics and modeling.
• Emphasis on project-based learning, enabling students to apply their skills to real datasets and engineering scenarios.
• Assessment through diverse methods, including assignments, quizzes, exams, and practical project work.

Entry requirements

Prospective students should review the following entry requirements, noting that final eligibility criteria and minimum scores should be confirmed with KFUPM admissions.

Academic requirements

• No specific GRE or GMAT scores are required for admission.
• No explicit GPA threshold has been stipulated in the current record.

English requirements

• IELTS: Minimum score of 4.5 (confirm if this is the required overall band for admission).
• Duolingo English Test: Accepted; minimum score details should be confirmed.

Other requirements

• Applicants must be a high school graduate (General, Computer Science and Engineering, Health and Life) or an international school graduate (Natural Sciences) from the current or previous year.
• SAT: A minimum score is typically required to apply, and admission is competitive.

Career prospects

Graduates of the BSc in Data Science and Engineering can look forward to diverse career opportunities in various sectors. Potential roles include data analyst, data engineer, machine learning engineer, and software developer, among others. The interdisciplinary nature of the program prepares students to tackle complex problems and contribute to technology-driven innovations across industries.