Bachelor of Science in Statistics and Data Analytics

Program Overview

The Bachelor of Science in Statistics and Data Analytics program at UAEU provides students with a comprehensive foundation in statistical methods, data analysis, and modeling. The program emphasizes real-world applications and utilizes state-of-the-art software and modeling languages. Students develop critical thinking, problem-solving, and communication skills, preparing them for careers in data-driven fields. The program offers two concentrations: Statistics Concentration and Analytics for Business Concentration.

Program Outline

Degree Overview:

• Program Description: The undergraduate B.Sc.
program in Statistics and Data Analytics at UAEU introduces the concepts, methods, and tools of collecting, processing, and analyzing data.
• Focus: The program builds upon fundamental concepts of probability and statistical inference (estimation & hypothesis testing), providing a foundation in modern techniques for statistics and data analytics.
• Distinctive 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, ethical and social awareness at the local and global level.
• Program Learning Outcomes:
• Effectively communicate statistical and computational analyses results and interpretations to specialized and non-specialized audiences orally, visually, and in writing.
• Apply teamwork skills and creativity, demonstrating 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.

Outline:

• Required Credit Hours: Minimum 121 hours
• Program Structure:
• General Education (33 credit hours):
• Cluster 1: Skills for the Future (15 credit hours):
• Innovation and Entrepreneurship (3 hours)
• English Communication (3 hours)
• Fourth Industrial Revolution (3 hours)
• Critical Thinking (3 hours)
• Quantitative Reasoning (3 hours)
• Cluster 2: The Human Community (12 credit hours):
• Humanities and Fine Arts (3 hours)
• Social and Behavioral Sciences (3 hours)
• Emirates Society (3 hours)
• Islamic Culture (3 hours)
• Cluster 3: The Natural World (6 credit hours):
• Natural Sciences (3 hours)
• Sustainability (3 hours)
• Research Learning Line (9 credit hours):
• Business Statistics I (3 hours)
• Business Statistics II (3 hours)
• Research Methods in Business and Economics (3 hours)
• Learning in Action (18 credit hours):
• Fundamentals of Management and Organizational Behavior (3 hours)
• Introduction to Marketing in the Digital Economy (3 hours)
• Developing an Entrepreneurial Venture (3 hours)
• Internship (12 hours)
• Business Core Requirements (6 credit hours):
• Managing with Analytics (3 hours)
• Business Analytics Core Requirements (6 credit hours):
• Business Intelligence (3 hours)
• Data Management and Organization (3 hours)
• Statistics Core Requirements (34 credit hours):
• Calculus II (3 hours)
• Linear Algebra I (3 hours)
• Principles of Probability (3 hours)
• Data Exploration and Analysis (3 hours)
• Introduction to Statistical Inference (3 hours)
• Survey Methods (3 hours)
• Applied Regression (3 hours)
• Statistical Machine Learning (3 hours)
• Applied Multivariate Analysis (3 hours)
• Introduction to Statistical Computing (3 hours)
• Categorical Data Analysis (3 hours)
• Data Analytics & Machine Learning (3 hours)
• Concentrations (15 credit hours):
• Statistics Concentration (15 credit hours):
• Bayesian Statistics (3 hours)
• Capstone in Statistics and Data Analytics (3 hours)
• Applied Time Series (3 hours)
• Elective Courses (6 hours)
• Analytics for Business Concentration (15 credit hours):
• Business Analytics (3 hours)
• Business Analytics Applications (3 hours)
• Capstone in Analytics for Business (3 hours)

Other:

• Internship: The internship is conducted over 12 weeks in the last semester (after a four-week preparation session).
No courses are allowed to be registered during the internship.
• BS-MS Program: Students opting for the BS-MS in Master in Business Analytics should take either STAT 380 or STAT 555 (Statistics Concentration) or STAT 430 or STAT 560 (Analytics for Business Concentration) with the coordination of their advisor and Master Program Coordinator.