Data Science

The Department of Computer Science and Statistics offers the interdisciplinary Bachelor of Arts (B.A.) and the interdisciplinary Bachelor of Science (B.S.) degree in data science. The degree is managed through the Big Data Initiative, in collaboration with the following colleges: Arts and Sciences, Business, Engineering, Environment and Life Sciences, Health, Oceanography, and Pharmacy.

Computer Science and Statistics, in collaboration with the Big Data Initiative also offers a 22-23-credit minor in data science.

Faculty: Professor Peckham, program coordinator. ; Associate Professor, Hamel; Assistant Professors Alvarez and Daniels; Assistant Professors Katenka, Kuruppumullage Don, Puggioni, Ventz,; Join Appointment Assistant Professors Schwartz (CMB/CELS) and Zhang (CMB/CELS).

Students majoring in data science who leave URI and are subsequently readmitted must follow the data science curriculum requirements in effect at the time of their readmission unless an exception is granted by the department chairperson and approved by the dean.

BACHELOR OF ARTS

The B.A. curriculum is designed to provide a solid foundation in the fundamentals of data science and will prepare students to procure, manage, and analyze data.

In order to transfer from University College for Academic Success to the College of Arts and Sciences as a B.A. data science major (or to be coded as such in the College of Arts and Sciences), a student must have completed CSC 201 or 211, MTH 141 (or 131), MTH 215, and STA 409 and must have maintained at least a 2.0 cumulative GPA overall, and at least a 2.00 cumulative GPA in all core data science courses required in the data science B.A. program that have been completed at the time of the application for transfer.

Students in the B.A. curriculum must complete a minimum of 41 credits (maximum 51) as follows: CSC 201 or 211 (4), CSC 320 (4), STA 409 (3), MTH 215 (3), CSC/DSP 310 or STA 305 (4), STA 441 or CSC 461 (4), BUS 456 (3), one course from an approved list of data science related specialization or domain area courses (3 or 4), and one additional integrative or capstone class, CSC 499 or STA 490 (4). Also required are MTH 131 or MTH 141 (3 or 4), WRT 201 or HPR 112 (3), and WRT 227 (3).

A total of 120 credits is required for graduation; at least 42 of these credits must be at the 300 level or above. Major and general education courses may fulfill this requirement.

A possible course of studies follows.

Freshman Year First semester: 13 credits PHL 101(3); WRT 201 (3); URI 101 (1); General Education (3); Elective (3)

Second semester: 16 credits CSC 201 (4); MTH 131 (3); General Education (9)

Sophomore Year First semester: 15 credits STA 409 (3); MTH 215 (3) General Education (6); Elective (3)

Second semester: 13 credits CSC 310 or STA 305 (4); BUS 456 (3); General Education (3); WRT 227 (3)

Junior Year First semester: 16 credits STA 441 (4); CSC 320 (4); CSC 461 (4); Program Elective (specialization or domain area) (300+) (4)

Second semester: 16-18 credits Elective (300+) (3-4); STA 490 (4); Electives (6); General Education (3-4)

Senior Year First semester: 16 credits CSC 499 (4); Electives (300+) (6); General Education (6)

Second semester: 15 credits General Education (12); Elective (3)

BACHELOR OF SCIENCE

The B.S. curriculum is designed to provide a broad introduction to the fundamentals of data science including ethics, computing, statistics, and mathematics. The required mathematics preparation provides a basis for advanced work. Students will be well prepared for careers or graduate study in data science.

In order to transfer from University College of Academic Success to Arts and Sciences as a B.S. computer science major (or to be coded as such in the College of Arts and Sciences), a student must have completed CSC 201 or 211, MTH 141 (or 131), MTH 215, and STA 409 and must have maintained at least a 2.0 cumulative GPA overall, and at least a 2.00 cumulative GPA in all core data science courses required in the data science B.S. program that have been completed at the time of the application for transfer.

Students in the B.S. curriculum must complete a minimum of 56 credits as follows: CSC 201 or 211 (4), CSC 320 (4), STA 409 (3), MTH 142 (4), MTH 215 (3) CSC/DSP 310 (4), STA 305 (4), STA 441 (4), CSC 461 (4), BUS 456 (3), three courses from an approved list of data science related specialization or domain area classes, one integrative or capstone class, CSC 499 or STA 490 (4).

Students must also complete MTH 141 (4) and WRT 201 or HPR 112 (3). WRT 227 (3) is strongly recommended.

A total of 120 credits is required for graduation. A possible course of studies follows.

Freshman Year First semester: 14 credits CSC 201 or 211 (4); URI 101 (1); WRT 104 (3); PHL 101 (3); Elective (3).

Second semester: 16 credits MTH 141 (4), General Education (12).

Sophomore Year First semester: 17 credits CSC 211 (4); MTH 142 (4); STA 409 (3); General Education (6)

Second semester: 17 credits STA 441 (4); CSC 310 (4); BUS 456 (3); WRT 227 (3), MTH 215 (3)

Junior Year First semester: 15 credits CSC 461 (4), STA 305 (4), CSC 320 (4); General Education (3)

Second semester: 15 credits Program Electives (specialization or domain area) (300+) (6); Electives (6); General Education (3)

Senior Year First semester: 16 credits CSC 499 (4); Electives (6); Gen Ed (6).

Second semester: 12 credits Program Elective (specialization or domain area) (300+) (3); Electives (9)

Minor in Data Science

This minor is intended to provide students with preliminary data collection, manipulation, access, and/or analysis skills as are appropriate to data needs in their majors.

Students declaring a minor in data science must earn 22-23 credits including CSC 201 or 211 (4), STA 308, 409, 411, or 412 (3 or 4), MTH 215 (3), CSC 310 or STA 305 (4), CSC 461 or STA 441 (4), and CSC 320 (4). Optional: In addition each student is encouraged to take one class that is integrative and that is focused in applying data science principles/skills to a data intensive domain area. For example, CSC 499 or STA 490.