Bachelor of Science in Statistics
Program Overview
The Bachelor of Science in Statistics at [University Name] is an interdisciplinary program that prepares students for advanced degrees or careers in statistics across various fields. With three emphases (science, business, and economics), the program provides a comprehensive understanding of statistical applications and data analysis techniques. Students will develop strong theoretical and computational skills, enabling them to solve complex problems and contribute to research and decision-making in diverse industries.
Program Outline
Degree Overview:
The Bachelor of Science in Statistics is an interdisciplinary program designed for students seeking advanced degrees or careers in statistics within various fields like industry, business, government, or scientific research. It offers three emphases: science, business, and economics, providing students with both breadth and depth in statistical applications.
Program Learning Outcomes:
Upon completion of the program, students will be able to:
- Build and assess statistical and machine learning models, utilizing diverse formal inference procedures.
- Employ mathematics to understand the underlying structure of common models in statistics and machine learning.
- Prepare data for various statistical methods and models, recognizing the impact of data quality and collection on conclusions.
- Communicate effectively using oral, written, and visual modes to diverse audiences.
Outline:
Core Requirements (46 units):
- MATH 226 Calculus I (4 units)
- MATH 227 Calculus II (4 units)
- MATH 228 Calculus III (4 units)
- MATH 301GW Exploration and Proof - GWAR (3 units)
- Select One:
- MATH 209 Mathematical Computing (3 units)
- CSC 101 & CSC 215 Introduction to Computing and Intermediate Computer Programming (3-7 units)
- CSC 309 Computer Programming (3 units)
- MATH 325 Linear Algebra (4 units)
- MATH 338 Introduction to SAS (3 units)
- MATH 424 Introduction to Linear Models (3 units)
- MATH 440 Probability and Statistics I (3 units)
- MATH 441 Probability and Statistics II (3 units)
- MATH 442 Probability Models (3 units)
- MATH 447 Design and Analysis of Experiments (3 units)
- MATH 448 Introduction to Statistical Learning and Data Mining (3 units)
- MATH 449 Categorical Data Analysis (3 units)
Guided Electives (9 units):
Select three courses from one of the following areas:
Science:
- MATH 370 Real Analysis I (3 units)
- MATH 376 Ordinary Differential Equations I (3 units)
- MATH 400 Numerical Analysis (3 units)
- MATH 425 Applied and Computational Linear Algebra (3 units)
- MATH 430 Mathematics of Optimization (3 units)
- MATH 460 Mathematical Modeling (3 units)
Economics:
- ECON 301 Intermediate Microeconomic Theory (3 units)
- ECON 302 Intermediate Macroeconomic Theory (3 units)
- ECON 312 Introduction to Econometrics (3 units)
- ECON 715 Mathematical Economics (3 units)
- ECON 731 Econometric Methods and Applications (3 units)
- ECON 825 Applied Time Series Econometrics (3 units)
Business: Decision Sciences:
- DS 311 Technologies in Data Analytics (3 units)
- DS 408 Computer Simulation (3 units)
- DS 412 Operations Management (3 units)
- DS 604 Applied Business Forecasting (3 units)
- ISYS 463 Information Systems Analysis and Design (3 units)
- ISYS 569 Information Systems for Business Process Management (3 units)
Careers:
The program is designed to prepare students for careers in various fields, including:
- Industry
- Business
- Government
- Scientific research
