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QTM MS Course Structure

Table describes fixed courses for master's students

Pre-Term (Summer 1)

  Credit Hours

QTM 501 Math and Stat Foundations

4

First Term (Fall)

  Credit Hours

QTM 510 Reasoning I

3

QTM 520 Applied I

4

QTM 530 Computing I

3

QTM 540 Communication

3

Second Term (Spring)

  Credit Hours

QTM 511 Reasoning II

3

QTM 521 Applied II

4

QTM 531 Computing II

3

QTM 550: Quantitative Sciences Project

4

Third Term (Summer II)

  Credit Hours

QTM 560: Quantitative Sciences Capstone

5

Students may opt out of the initial summer pre-term class, QTM 501: Mathematical and Statistical Foundations, if they have passed a course (or courses) judged equivalent by the QTM graduate committee, and received at least a B.

The program culminates in a Capstone Research Project that will be co-taught by two of the faculty. Teams of 2-3 students will work with community partners to produce solutions to real data-centered issues.

The degree requires 32-36 credit hours at the 500 level or higher (32 credit hours if students pass out of QTM 501; 36 credit hours if students opt into QTM 501).