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Masters Curriculum


Table describes fixed courses for master's students

Pre-Term (Summer 1)

  Credit Hours

DATASCI 501 Math and Stat Foundations

This course is reserved for qualified MS students lacking course credit (or the equivalent) for Linear Algebra and Calculus 

4

First Term (Fall)

  Credit Hours

DATASCI 510 Reasoning I

3

DATASCI 520 Applied I

4

DATASCI 530 Computing I

3

DATASCI 540 Communication

3

Second Term (Spring)

  Credit Hours

DATASCI 511 Reasoning II

3

DATASCI 521 Applied II

4

DATASCI 531 Computing II

3

DATASCI 550: Quantitative Sciences Project

4

Third Term (Summer)

  Credit Hours

DATASCI 560: Quantitative Sciences Capstone

4

Students will not enroll in the summer pre-term class, DATASCI 501: Mathematical and Statistical Foundations, if they have passed Linear Algebra and Calculus (or courses) judged equivalent by the DATASCI 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 DATASCI 501; 36 credit hours if students opt into DATASCI 501).