Statistics, MS

Program Overview

The MS in Statistics at Arizona State University equips students with the skills to analyze data effectively, tailoring plans of study to individual needs and goals. The program offers flexibility with academic and professional tracks, preparing graduates for diverse careers in business, science, and technology, including data science, financial analysis, and software engineering.

Program Outline

Degree Overview:

Objective:

• It offers the flexibility to pursue the degree in either an academic or a professional track, catering to different career aspirations.
• The program is approved for the STEM-OPT extension, enabling international students to gain valuable work experience in the U.S. (applicable only to F-1 visa holders, excluding online students).

Outline:

Structure:

• The program requires the completion of either 30 credit hours with a portfolio (professional track) or 30 credit hours with a thesis, an applied project, or comprehensive exams (academic track).
• It comprises a required core course, track-specific coursework, electives, and a culminating experience.
However, it indicates that the program covers a wide range of topics, including:
• Applied Regression Models
• Regression Analysis
• Applied Regression Analysis
• Advanced Statistical Methods
• Data Analysis
• Mathematical Modeling
• Probability
• Statistics

Assessment:

Methods:

• The program utilizes different assessment methods depending on the selected track:
• Professional track: culminating experience portfolio
• Academic track:
• Thesis with oral defense
• Applied project with oral defense
However, it is reasonable to assume that the program evaluates students based on their understanding of statistical concepts, their ability to apply these concepts to solve real-world problems, and their communication skills. However, it is likely that the program utilizes a combination of lectures, discussions, individual and group projects, and independent research.

Faculty:

• The program draws upon the expertise of faculty with diverse research and teaching interests.

Unique Approaches:

• The program allows students to tailor their plans of study to match their individual needs and goals.
• It offers the flexibility to pursue the degree in either an academic or a professional track, catering to different career aspirations.

Careers:

Opportunities:

• Graduates of the program can pursue diverse career paths in various fields, including:
• Actuary
• Business consultant or analyst
• Data scientist
• Financial analyst
• Market research analyst
• Software engineer
• Statistician
• The program also prepares students for pursuing doctoral studies and a faculty-track academic career.

Outcomes:

• The program aims to equip graduates with the skills and knowledge necessary to effectively analyze data and solve real-world problems.
• It prepares students for successful careers in various fields requiring strong analytical and statistical skills.

Other:

• The program emphasizes the importance of statistical analysis and data mining in today's job market.
• It highlights the diverse career opportunities available to graduates with a master's degree in statistics.