Applied Statistics and Data Sciences Major
Applied Statistics & Data Sciences
Major
Applied Statistics uses a variety of computational techniques and methods to visualize and explore data to establish the structure and underlying trends of that data, investigate relationships between observed phenomena, facilitate data interpretation, and aid in decision-making. Data Science expands on statistics to encompass the entire life cycle of data, from its specification, gathering, and cleaning through its management and analysis, to its use in making decisions and setting policy.
Offered by the Department of Mathematics Sciences.
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The Applied Statistics and Data Science Program provides cadets the opportunity to explore structured and unstructured data, define answerable questions, perform statistical analysis, and communicate results both written and orally. The program introduces the underlying mathematics of applied statistics and data science while simultaneously offering exposure to computation and optimization issues inherent in large and disparate data sets.
The major offers abundant opportunities for study in a broad range of mathematical subjects. Courses such as linear algebra, applied statistics, mathematical statistics, theory and applications of data science, generalized linear models, and mathematical computation provide a sound mathematical foundation in the statistics and data science fields. In addition, follow-on courses such as cyber foundations, database systems, computer-aided systems engineering, and advanced individual study provide both depth in understanding the applications of data science theory, as well as opportunity for study and research in a selected subject. Whenever possible, the use of technology is emphasized to extend the knowledge required for the consideration of many challenging problems in today's world.
This major offers an honors track.
Program Educational Outcomes
Five to seven years after graduation, cadets who major in Applied Statistics and Data Science will have been successful Army officers who have:
- Identified aspects of a complex situations that could be enhanced through data collection and analytics.
- Led diverse teams of data analysts or data scientists to support or enhance operations in complex environments.
- Used effective communication to explain data science methods to a wide range of audiences.
- Grown professionally through self-study or continuing education.
Student Outcomes
At the time of graduation, graduates of the Applied Statistics and Data Science Program will have an ability to:
- Develop and conduct experiments or test hypotheses, analyze and interpret data, and use scientific judgment to draw conclusions.
- Identify, formulate, and solve broadly defined technical or scientific problems by applying knowledge of mathematics and science and/or technical topics to areas relevant to Applied Statistics and Data Science.
- Formulate or design a system, process, procedure, or program to meet desired needs.
- Communicate effectively with a range of audiences.
- Understand ethical and professional responsibilities and the impact of technical and/or scientific solutions in global, economic, environmental, and societal contexts.
- Function effectively on teams that establish goals, plan tasks, meet deadlines, and analyze risk and uncertainty.
Contact a Department of Mathematical Sciences Academic Counselor
- Head DAC: CPT Anna Tucker, Instructor, anna.tucker@westpoint.edu
- Math DAC: CPT Matthew Strack, Instructor, matthew.strack@westpoint.edu
To learn more about this area of study, visit the Department of Mathematical Sciences.
Required Courses
- MA371 LINEAR ALGEBRA
- MA376 APPLIED STATISTICS
- MA476 MATHEMATICAL STATISTICS
- MA477 THEORY & APPL OF DATA SCIENCE
- MA478 GENERALIZED LINEAR MODELS
- MA486 MATHEMATICAL COMPUTATION
Sample Electives
- CS473 COMPUTER GRAPHICS
- CS486 ARTIFICIAL INTELLIGENCE
- CY383 SECURE INTERFACE DESIGN
- MA372 INTRODUCTION TO DISCRETE MATH
- MA383 FOUNDATIONS OF MATH
- MA386 INTRO TO NUMERICAL ANALYSIS
- MA387 MATHEMATICAL ANALYSIS I
- MA388 SABERMETRICS
- MA391 MATHEMATICAL MODELING
- MA394 FUNDAMENTALS/NETWORK SCIENCE
- MA461 GRAPH THEORY AND NETWORKS
- MA462 COMBINATORICS
- MA488 SPECIAL TOPICS IN MATHEMATICS
- MA489 ADV INDIV STUDY IN MATH
- XE402 INTEGRATIVE SYSTEM DESIGN II
- XE492 DISRUPTIVE INNOVATIONS
To learn more, view the full Applied Statistics and Data Science Major Curriculum.
Cadets who choose this major have the opportunity to publish in journals like Mathematica Militaris, become a member of the Pi Mu Epsilon Mathematics Honor Society, Alpha Zeta Chapter, Golden Key - International Honour Society, Phi Kappa Phi - Oldest and Largest Collegiate Honor Society and work with the Mathematical Sciences Center as they conduct summer internships/research at various laboratories and agencies.
To learn more about enrichment in this area of study, visit the Department of Mathematical Sciences or the Center for Data Analysis and Statistics.