Purdue University

Overview

The Quantitative Methods program at Purdue University is designed for doctoral candidates seeking to enhance their expertise in advanced optimization, analytics, and data-driven decision-making. This program equips students with research-level skills through a combination of rigorous coursework and practical problem-solving experiences across various optimization domains.

What you'll study

Format: The program is delivered in a seminar-style format, emphasizing research methodologies and advanced quantitative modeling techniques.

• Analytics
• Analytical Consulting
• Choice and Judgment Variables
• Complexity and Approximation
• Computational Advertising
• Data Mining
• Data Science: Dynamic Pricing

Research integration: Students typically relate seminar topics to their broader PhD research interests through readings, presentations, and research-oriented assignments. Depending on the individual degree plan, additional coursework, qualifying milestones, and dissertation requirements may also apply.

Note: The availability of courses and specific required or elective modules may vary by term and the student's PhD track.

Entry requirements

Academic requirements

Minimum GPA expectations vary based on the applicant's profile and available seats. Competitive candidates usually showcase strong academic performance from their undergraduate and/or graduate studies.

Standardized tests

• GRE: Generally required or strongly considered for admission to the doctoral program.
• GMAT: May be accepted in certain cases; applicants should check the specific department’s guidelines for their PhD track.
• Test scores: Applicants should adhere to the university’s official score reporting procedures and meet the stated minimum or competitive score expectations, if available.

English requirements

• TOEFL iBT: A minimum score requirement is established by the university or department. Currently, an alternative option includes a score of 80.
• Other English proficiency tests may be accepted depending on the published policies of the program.

Other requirements

• Transcripts from all post-secondary institutions
• Two letters of recommendation
• Academic Statement of Purpose
• Personal History Statement
• Resume/CV
• GRE and/or GMAT scores (as required or accepted by the department)

Tip: In your statements, emphasize your background in quantitative methods, including topics such as optimization, statistics, machine learning, and operations research.

Career prospects

Graduates of the Quantitative Methods program are well-prepared for a variety of career opportunities in academia, industry, and research organizations. They typically pursue roles in analytics, data science, consulting, and advanced research, where they can apply their expertise in quantitative analysis to solve complex problems and make data-driven decisions.