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DATA SCIENCE CORE
Take the following courses:
DS-110 Intro to Data Science
3 CreditsN
CS-110 Computer Science I
3 CreditsN,CTGES,CTGISRecommended programming experience or IT110 or IT100, IT111 or IM110 or MA103 but not necessary.
STATISTICS
Take one of the following courses:
MA-220 Introduction to Probability & Statistics
4 CreditsN, QS, CTGESPrerequisite: MA130
MA-205 Elementary Statistics
4 CreditsN, QS, WK-SPPrerequisite: FYC-101 or EN-110 or EN-109
EB-211 Business Statistics
3 Credits QS,S
ESS-230 Environmetrics
3 CreditsN, QS, CTGES, CTGISPrerequisites: Sophomore standing and permission of the instructor.
ESS-309 Econometrics
2 CreditsN, QPrerequisites: Introductory economics course.
SW-215 Integrated Research Methods & Stats II
3 CreditsS
PY-366 Research Methods & Statistics
4 Credits Prerequisite: PY-101
BI-305 Biostatistics
4 CreditsN, QS, CTGESPrerequisites: BI106 or ESS100
ADDITIONAL COURSES
Take twelve credits from the following courses:
BI-314 Talk Nerdy to Me
3 Credits
BI-405 Bioinformatics Fundamentals
4 CreditsN,CTGESPre-req: BI-101 or BI-105, BI-102 or BI-106, CH-142, CH-143, CH-144, CH-145
CS-315 Algorithms and Analysis
4 CreditsCW,NPrerequisites: CS240 and MA116.
CS-341 Scientific Computing
3 CreditsNPre-Req: CS-110
CS-370 Database Management Systems
3 CreditsN,CTGISPrerequisites: CS110.
IM-242 Info Visualization
3 CreditsN,CTDH,CTGESPrerequisite: IT 110, IT 111, IM 110, DS 110, or CS 110 or permission.
DS-210 Data Acquisition
3 CreditsNPRE-REQ: CS 110 and DS 110.
DS-352 Machine Learning
3 CreditsNPrerequisite: CS-110, DS-110, and an approved statistics course from this list: MA-205,
MA-220, BI-305, PY-214, PY-260, PY-366, or EB- 211.
DS-375 Big Data
3 CreditsNPrerequisites: DS 110 Intro to Data Science and CS 370 Database Management Systems
DS-485 Data Science Research
1-5 Credits
MA-321 Multivariate Statistics
3 CreditsN, QSPrerequisites: MA-130 or MA 160; an introductory statistics course from the following
list: BI-305, EB-211, ESS-230, ESS-309, MA-205, MA-220, PY-366, or SW-215
MA-325 Statistical Consulting
3 CreditsN, QS, CW, SW-LEPrerequisite: Take one course from this list: BI-305, EB-211, ESS-230, ESS-309, MA-205,
MA-220, PY-361, PY-366, SW-215. Also take FYC-101 or EN-110 or EN-109.
MA-341 Scientific Computing
3 CreditsNPre-Req: CS-110
ESS-330 Geographical Information Systems
4 CreditsCTGISNote: A special course fee is assessed. Prerequisite: ESS100.
ESS-335 Quantitative Ecology
4 CreditsQS(Lec/Lab; 4 cr hr; Spring years; pre-req ESS 110, ESS 230-Environmetrics, or consent)
IT-307 Project Management
4 CreditsS,CW,CS,SW-LEPrerequisite: IT-210. Pre-or co-requisite: FYC-101.
IT-308 Innovations for Industry I
1 CreditsSPrerequisites: IT210 and Jr or Sr standing or by permission of the instructor. Corequisite:
IT307. Note: This course will have appointed class times for projects other than the
times listed on the schedule.
BI-314 Talk Nerdy to Me
3 Credits
BI-405 Bioinformatics Fundamentals
4 CreditsN,CTGESPre-req: BI-101 or BI-105, BI-102 or BI-106, CH-142, CH-143, CH-144, CH-145
CS-315 Algorithms and Analysis
4 CreditsCW,NPrerequisites: CS240 and MA116.
CS-341 Scientific Computing
3 CreditsNPre-Req: CS-110
CS-370 Database Management Systems
3 CreditsN,CTGISPrerequisites: CS110.
IM-242 Info Visualization
3 CreditsN,CTDH,CTGESPrerequisite: IT 110, IT 111, IM 110, DS 110, or CS 110 or permission.
DS-210 Data Acquisition
3 CreditsNPRE-REQ: CS 110 and DS 110.
DS-352 Machine Learning
3 CreditsNPrerequisite: CS-110, DS-110, and an approved statistics course from this list: MA-205, MA-220, BI-305, PY-214, PY-260, PY-366, or EB- 211.
DS-375 Big Data
3 CreditsNPrerequisites: DS 110 Intro to Data Science and CS 370 Database Management Systems
DS-485 Data Science Research
1-5 Credits
MA-321 Multivariate Statistics
3 CreditsN, QSPrerequisites: MA-130 or MA 160; an introductory statistics course from the following list: BI-305, EB-211, ESS-230, ESS-309, MA-205, MA-220, PY-366, or SW-215
MA-325 Statistical Consulting
3 CreditsN, QS, CW, SW-LEPrerequisite: Take one course from this list: BI-305, EB-211, ESS-230, ESS-309, MA-205, MA-220, PY-361, PY-366, SW-215. Also take FYC-101 or EN-110 or EN-109.
MA-341 Scientific Computing
3 CreditsNPre-Req: CS-110
ESS-330 Geographical Information Systems
4 CreditsCTGISNote: A special course fee is assessed. Prerequisite: ESS100.
ESS-335 Quantitative Ecology
4 CreditsQS(Lec/Lab; 4 cr hr; Spring years; pre-req ESS 110, ESS 230-Environmetrics, or consent)
IT-307 Project Management
4 CreditsS,CW,CS,SW-LEPrerequisite: IT-210. Pre-or co-requisite: FYC-101.
IT-308 Innovations for Industry I
1 CreditsSPrerequisites: IT210 and Jr or Sr standing or by permission of the instructor. Corequisite: IT307. Note: This course will have appointed class times for projects other than the times listed on the schedule.
(OR) Upper-level research in any other field with sufficient data science content (instructor permission required)
Secondary Emphasis Credit Total = 18
Six credits must be at the 300/400-level. Any course exception must be approved by the advisor and/or department chair.