Bachelor of Science in Statistics and Data Analytics
The undergraduate B.Sc. program in Statistics and Data Analytics at UAEU introduces the concepts, methods, and tools of collecting, processing, and analyzing data. The objective is to discover hidden patterns in data and generate actionable insights. Building on the fundamental concepts of probability and statistical inference (i.e., estimation & hypothesis testing), the program provides the fundamental background, as well as the modern techniques for statistics and data analytics. Two distinctive features of the program are: the emphasis on real-world applications; and the enrichment of lecture materials through practical experience with state-of-the-art computer software and modeling languages.
- Knowledge and skills in statistical, analytical and mathematical modeling, computing, and problem solving.
- Critical thinking, research, and analytics skills to gather data and information and solve problems involving big and/or complex data.
- Effective study & communication skills.
- Work productively in teams.
- Independence and ethical and social awareness at the local and global level.
Program Learning Outcomes
Upon successful completion of this 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.
- Integrate modeling and computational skills in statistical and data analytics, for developing comprehensive solutions to data-driven problems.
- 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.
Required Credit Hours :
minimum 121 hours
General Education (req. CH:33)
Cluster 1: Skills for the Future (Req. Ch:15)
|Area 5: Quantitative Reasoning (3 hours
|MATH105||Calculus I 1||3|
1 : Also counts towards the Major
Cluster 2: The Human Community (Req. Ch:12)
Cluster 3: The Natural World (Req. Ch:6)
Research Learning Line
Learning in Action
Business Core Requirements
Business Analytics Core Requirements
Statistics Core Requirements
|Students should select one concentration for total of 15 credit hours (15 hours
Analytics for Business Concentration