Bachelor of Science in Statistics and Data Analytics

Program Overview

The Bachelor of Science in Statistics and Data Analytics program at UAEU equips students with the knowledge and skills to collect, process, and analyze data to uncover hidden patterns and generate valuable insights. Emphasizing real-world applications and practical experience, the program fosters critical thinking, analytical, and problem-solving abilities, enabling graduates to effectively tackle data-driven challenges in various industries. Through coursework and concentrations in Statistics and Analytics for Business, students develop a comprehensive understanding of statistical concepts, modeling, computational skills, and communication proficiency.

Program Outline

Degree Overview:

The Bachelor of Science in Statistics and Data Analytics program at UAEU introduces the concepts, methods, and tools of collecting, processing, and analyzing data. The program builds upon fundamental concepts of probability and statistical inference (estimation & hypothesis testing) and provides both fundamental background and modern techniques for statistics and data analytics.

Key Features:

• Emphasis on real-world applications.
• Enrichment of lecture materials through practical experience with state-of-the-art computer software and modeling languages.

Program Objectives:

• Develop knowledge and skills in statistical, analytical and mathematical modeling, computing, and problem solving.
• Enhance effective study & communication skills.
• Foster productive teamwork skills.
• Promote independence and ethical and social awareness at the local and global level.

Program Learning Outcomes:

Upon successful completion of the program, students will be able to:

• Demonstrate a comprehensive knowledge of concepts of statistics and data analytics, and the application of the concepts for problem solving using real-world data.
• Effectively communicate to specialized and non-specialized audiences, orally, visually, and in writing, the results and interpretation of statistical and computational analyses.
• Apply teamwork skills and creativity, and demonstrate autonomy and responsibility, in undertaken tasks and projects.
• Demonstrate independence and ethical awareness towards issues in statistics and data analytics, such as data ownership, security and sensitivity of data, privacy concerns in data analysis, and transparency and re-producibility.

Other:

• Degree Requirements: Minimum 121 credit hours.
• General Education: 33 credit hours across three clusters: Skills for the Future, The Human Community, and The Natural World.
• Research Learning Line: 9 credit hours.
• Learning in Action: 18 credit hours.
• Business Core Requirements: 6 credit hours.
• Business Analytics Core Requirements: 6 credit hours.
• Statistics Core Requirements: 34 credit hours.
• Concentrations: Students must select one concentration for a total of 15 credit hours.
• Statistics Concentration: 9 credit hours of required courses and 6 credit hours of elective courses.
• Analytics for Business Concentration: 9 credit hours of required courses and 6 credit hours of elective courses.