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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.

Program Objectives

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.

Degree Requirements

Required Credit Hours : minimum 121 hours

General Education (req. CH:33) Cluster 1: Skills for the Future (Req. Ch:15)

Area 1: Innovation and Entrepreneurship (3 hours )		Credit Hours
GEIE222	Fundamentals of Innovation and Entrepreneurship	3

Area 2: English Communication (3 hours )		Credit Hours
ESPU104	Introduction to Academic English For Business	3

Area 3: Fourth Industrial Revolution (3 hours )		Credit Hours
GEIT112	Fourth Industrial Revolution	3

Area 4: Critical Thinking (3 hours )		Credit Hours
CSBP119	Algorithms and Problem Solving	3

Area 5: Quantitative Reasoning (3 hours )		Credit Hours
MATH105	Calculus I¹	3
1 : Also counts towards the Major

Cluster 2: The Human Community (Req. Ch:12)

Area 1: Humanities and Fine Arts (3 hours )		Credit Hours
ARCH366	History and Theories of Contemporary Architecture	3
HSR120	Introduction to Heritage & Culture	3
HSR130	Introduction to Language & Communication	3
PHI101	Introduction to Philosophy	3

Area 2: Social and Behavioral Sciences (3 hours )		Credit Hours
ECON105	Principles of Microeconomics²	3
2 : Also counts towards the Major

Area 3: Emirates Society (3 hours )		Credit Hours
HSS105	Emirates Studies	3

Area 4: Islamic Culture (3 hours )		Credit Hours
ISLM101	Biography of the Prophet "Sira"	3

Cluster 3: The Natural World (Req. Ch:6)

Area 1: Natural Sciences (3 hours )		Credit Hours
ARAG205	Introduction to Fish & Animal Science	3
ARAG220	Natural Resources	3
BION100	Biology and its Modern Application	3
CHEM181	Chemistry in the Modern World	3
FDSC250	Contemporary Food Science & Nutrition	3
GEOL110	Planet Earth	3
PHED201	Physical Fitness and Wellness	3
PHYS100	Astronomy	3
PHYS101	Conceptual Physics	3

Area 2: Sustainability (3 hours )		Credit Hours
GESU121	Sustainability	3

Research Learning Line

Required Courses (9 hours )		Credit Hours
STAT102	Business Statistics I	3
STAT202	Business Statistics II	3
GBUS300	Research Methods in Business and Economics	3

Learning in Action

Required Courses (18 hours )		Credit Hours
GBUS201	Personal Development: Leadership and Team Competencies	3
GBUS301	Personal Development: Career Preparation and Orientation	3
ENTR415	Developing an Entrepreneurial Venture ³	12
GBUS460	Internship⁴	12
3 : Students should take either ENTR 415 or GBUS 460 4 : 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

Business Core Requirements

Required Courses (6 hours )		Credit Hours
BANA200	Managing with Analytics	3
GBUS250	Digital Economy	3

Business Analytics Core Requirements

Required Courses (6 hours )		Credit Hours
BANA250	Business Intelligence	3
BANA310	Data Management and Organization	3

Statistics Core Requirements

Required Courses (34 hours )		Credit Hours
MATH110	Calculus II	3
MATH140	Linear Algebra I	3
STAT230	Principles of Probability	3
STAT240	Data Exploration and Analysis	3
STAT300	Introduction to Statistical Inference	3
STAT330	Survey Methods	3
STAT360	Applied Regression	3
STAT380	Statistical Machine Learning	3
STAT400	Applied Multivariate Analysis	3
STAT470	Introduction to Statistical Computing	3
CSBP123	Introduction to Programming	4