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BS(Hons) Statistics

Western Washington University, United States
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Course Overview

The BS(Hons) Statistics program at Western Washington University provides students with a comprehensive understanding of statistical methods and their applications in various fields. The course covers topics such as probability, statistical inference, data analysis, and computer programming, equipping students with the skills to analyze and interpret complex data sets. With a strong emphasis on practical application, students will gain hands-on experience through projects and case studies, preparing them for a career in statistics or related fields.

Additional Information

The program is designed to provide students with a solid foundation in statistical theory and methodology, as well as the ability to apply statistical techniques to real-world problems. The curriculum includes courses on statistical computing, data visualization, and statistical consulting, giving students a broad range of skills and knowledge. The program also offers opportunities for student research and collaboration with faculty members, providing valuable experience in working on research projects.

Discover Your Potential at Western Washington University

Western Washington University is an excellent choice for students pursuing a degree in statistics due to its strong reputation for academic excellence and experiential learning opportunities. The university offers a supportive and inclusive environment that fosters collaboration and creativity, providing students with the ideal setting to grow and develop their skills. With access to state-of-the-art facilities and resources, students can explore their interests and pursue their passions without any barriers.

Why You Should Study This Course

Today’s era has witnessed an explosive growth in the amount of data collected, and there has been a realization that these massive data sets (“big data”) are reservoirs of valuable information that can be used not only for research purposes but also for direct applications and for sound decision-making. The extraction of the useful parts from big data and the analysis and interpretation of its contents require skills and knowledge in certain areas of the mathematical and computer sciences, specifically in machine learning, data mining - and statistics.

Apart from being a vital component in exploiting big data, statistical expertise is also essential in virtually all scientific organizations, large business enterprises and government agencies. The ability to analyze and make sense of data, big or small, by means of statistical techniques is critical in ensuring that the conclusions reached and the decisions made are based on valid empirical evidence.

Western’s B.S. degree in Statistics is organized around a core course of study in probability and statistics that provides students with a background in the fundamentals of statistical thought and the application of the most common types of statistical analyses. In addition, our elective classes offer our students the opportunity to have at their disposal a diverse toolkit of analysis techniques and modeling choices that can be used to make sense of information coming from a breadth of different data types.

General Eligibility

Academic Requirements for freshman students:

The admission requirements for undergraduate courses are given as follows:

  • Completed application form

  • Academic Transcripts(certified english translations if necessary)

  • Relevant High school degree/Grade Report/Certificates

  • SAT or ACT Scores (Optional)

  • A cumulative GPA of 2.0

  • Personal Statement or essay

  • One letter of recommendation

  • List of extracurricular activities(if any)

  • Portfolio

What You'll Study

1 Breadth Requirement

Ctuarial Science sequence:

ACCT 245 - Managerial Accounting Credits: 4

ECON 206 - Introduction to Microeconomics Credits: 4

ECON 207 - Introduction to Macroeconomics Credits: 4

FIN 341 - Principles of Finance Credits: 4

FIN 440 - Investments Credits: 4

Biology/Chemistry sequence:

BIOL 204 - Introduction to Evolution, Ecology and Biodiversity w/lab Credits: 5

BIOL 205 - Introduction to Cellular and Molecular Biology w/lab Credits: 5

CHEM 161 - General Chemistry I Credits: 5

CHEM 162 - General Chemistry II Credits: 5

Chemistry sequence I:

CHEM 161 - General Chemistry I Credits: 5

CHEM 162 - General Chemistry II Credits: 5

CHEM 163 - General Chemistry III Credits: 5

Chemistry sequence II:

CHEM 175 - General Chemistry I, Honors Credits: 5

CHEM 176 - General Chemistry II, Honors Credits: 5

CHEM 225 - General Chemistry III, Honors Credits: 5

Computer Science sequence:

CSCI 145 - Computer Programming and Linear Data Structures Credits: 4

CSCI 241 - Data Structures Credits: 4

CSCI 301 - Formal Languages and Functional Programming Credits: 5

and one of:

CSCI 305 - Analysis of Algorithms and Data Structures I Credits: 4

CSCI 330 - Database Systems Credits: 4

CSCI 345 - Object Oriented Design Credits: 4

CSCI 401 - Automata and Formal Language Theory Credits: 4

Economics sequence:

ECON 206 - Introduction to Microeconomics Credits: 4

ECON 207 - Introduction to Macroeconomics Credits: 4

ECON 306 - Intermediate Microeconomics Credits: 4

and one of:

ECON 375 - Introduction to Econometrics Credits: 4

ECON 470 - Economic Fluctuations and Forecasting Credits: 4

ECON 475 - Econometrics Credits: 4

Math sequence:

MATH 312 - Proofs in Elementary Analysis Credits: 4

MATH 421 - Methods of Mathematical Analysis I Credits: 4

MATH 422 - Methods of Mathematical Analysis II Credits: 4

Physics sequence:

PHYS 161 - Physics with Calculus I Credits: 5

PHYS 162 - Physics with Calculus II Credits: 5

PHYS 163 - Physics with Calculus III Credits: 5

2 Core Requirements

❑ MATH 341 - Probability and Statistical Inference Credits: 4

❑ MATH 342 - Statistical Methods I Credits: 4

❑ MATH 343 - Statistical Method II Credits: 4

❑ MATH 441 - Probability Credits: 4

❑ MATH 442 - Mathematical Statistics Credits: 4

❑ MATH 445 - Computational Statistics Credits: 4

❑ Choose either:

CSCI 140 - Programming Fundamentals in C++ Credits: 4

or

CSCI 141 - Computer Programming I Credits: 4

or

MATH 307 - Mathematical Computing Credits: 4

3 Electives

❑ Choose four classes from the following:

MATH 443 - Linear Statistical Models Credits: 4

or MATH 543 - Linear Statistical Models Credits: 4

MATH 444 - Categorical Data Analysis Credits: 4

MATH 446 - Nonparametric Statistical Inference Credits: 4

MATH 447 - Multivariate Statistics Credits: 4

MATH 456 - Applied Time Series Analysis Credits: 4

or MATH 556 - Applied Time Series Analysis Credits: 4

MATH 457 - Bayesian Statistics Credits: 4

or MATH 557 - Bayesian Statistics Credits: 4

MATH 458 - Stochastic Processes Credits: 4

or MATH 558 - Stochastic Processes Credits: 4

4 Mathematic Requirements

❑ Choose either:

MATH 124 - Calculus and Analytic Geometry I Credits: 5

or

MATH 134 - Calculus I Honors Credits: 5

❑ Choose either:

MATH 125 - Calculus and Analytic Geometry II Credits: 5

or

MATH 135 - Calculus II Honors Credits: 5

❑ MATH 204 - Elementary Linear Algebra Credits: 4

❑ MATH 224 - Multivariable Calculus and Geometry I Credits: 5

❑ MATH 226 - Limits and Infinite Series Credits: 4

❑ MATH 304 - Linear Algebra Credits: 4

❑ Choose either:

MATH 302 - Introduction to Proofs Via Number Theory Credits: 4

or

MATH 309 - Introduction to Proof in Discrete Mathematics Credits: 4

Language Requirement

  • IELTS6.5
  • TOEFL93
  • PTE65
  • Duolingo89

Minimun IELTS Score 6.5 overall.

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