Spring 2025 Informatics Electives
These courses are offered Spring 2025 and fulfill the Informatics Electives requirements. Please check your ARR or confirm with your Academic Advisor if you have questions. Courses marked with HLS in parentheses are particularly appropriate for HLS students, but all Informatics students who meet the eligibility requirements may count them as electives.
| Spring 2025 Courses | Prerequisites listed in SPIRE | Eligibility (major/grade level) listed in SPIRE |
|---|---|---|
| BIOL 379H: Genomics and Bioinformatics (HLS) | BIOLOGY/BIOCHEM/ANIMLSCI 285 or 311 or BIOCHEM 275 with a grade of C or better | Open to Biology majors in Commonwealth Honors College |
| BIOSTATS 683: Intro to Causal Inference in a Big Data World (HLS) | Prerequisites: none. Recommended: (1) graduate-level coursework covering basic probability theory and regression modelling; (2) a graduate course in Epidemiology (e.g. Epi630) | |
| CICS/SPP 590PT: Technology Regulation and Innovation for the Common Good | CICS 305 with a grade of C or better | Juniors and seniors in Computer Science or Informatics |
| CLASSICS 390STA: Visualizing Archaeological Data | ||
| COMM 408: Survey of Digital Behavioral Data | Open to Senior and Junior Communication majors only. All others request permission from instructor: mfuentes [at] umass [dot] edu | |
| COMM 540: Internet Gov & Information Policy | COMM 121 or 122 | Request permission from instructor: mfuentes [at] umass [dot] edu |
| COMPSCI 320: Software Engineering | COMPSCI 220 with a grade of C or better | Juniors and seniors in Computer Science only. Informatics majors should submit an override request. |
| COMPSCI 326: Web Programming | COMPSCI 220 or 230 with a grade of C or better | Juniors and seniors in Computer Science or Informatics |
| COMPSCI 328: Mobile Health Sensing and Analytics (HLS) | COMPSCI 187 (or CICS 210) with a grade of C or better OR INFO 248 and COMPSCI 186 (or 187 or CICS 160/INFO 190T) with a grade of C or better | Juniors and seniors in Computer Science or Informatics |
| COMPSCI 383: Artificial Intelligence | A grade of C or better in CICS 210 and COMPSCI 240 (or STATISTC 315, previously 515) or a grade of C or better in INFO 248 and STATISTC 315/515 | Juniors and seniors in Computer Science or Informatics |
| COMPSCI 389: Intro to Machine Learning | A grade of C or better in COMPSCI 220 (or 230), COMPSCI 240 (or STATISTC 315/515), and MATH 233 | Juniors and seniors in Computer Science or Informatics |
| COMPSCI 420: Software Entrepreneurship | COMPSCI 320 or 326 with a grade of C or better | Juniors and seniors in Computer Science or Informatics |
| COMPSCI 426: Scalable Web Systems | COMPSCI 320 or 326 with a grade of C or better | Juniors and seniors in Computer Science or Informatics |
| COMPSCI 508: Ethical Considerations in Computing | CICS 305 with a grade of C or better | Open to Masters and PhD Computer Science students only. Informatics majors should submit an override request. |
| COMPSCI 571: Data Visualization and Exploration | COMPSCI 220, 230, or 326 with a grade of C or better | Juniors and seniors in Computer Science. Informatics majors should submit an override request. Lecture 01 is for undergrads; seats held in Lecture 01 for junior and senior CS and INFORM majors. |
| ECON 309: Game Theory | ECON 103 or RES-ECON 102, and one of the following: MATH 127, MATH 128, MATH 131, MATH 132, ECON 151, or ECON 152 | Open to students whose primary major is ECON, RES-ECON, STPEC, or MGRECON. Open only to Primary majors in ECON, STPEC, RESEC, MGREC until November 18, then open to all. |
| ECON 337: Economics in the Age of Big Data | ECON 103 (or RES-ECON 102) and ECON 104 | Open to students whose primary major is ECON, RES-ECON, STPEC, or MGRECON. Open only to Primary majors in ECON, STPEC, RESEC, MGREC until November 18, then open to all. |
| ECON 452: Econometrics | One of the following: (Math 127, 131, Econ 151, 152) AND one of the following: (Res-Econ 211, 212, Statistics 240, 501, 515) | Open to students with STPEC, ECON, RES-ECON, or MGRECON as their primary major. Open only to Primary majors in Econ, STPEC, RESEC, MGRECON until November 18, then open to all. |
| ENGLISH 491DS: Data Science for the Humanities (Seminar) | You must have fulfilled your College Writing Gen. Ed. requirement to enroll in this course. | |
| GEOGRAPH 484: Geographic Computation | ||
| GEOGRAPH 493W / NRC 588: Web GIS (Seminar) | The instructor will be in person at Newton Campus. | |
| INFO 490PI: Personal Health Informatics | INFO 248 (or COMPSCI 240) with a grade of C or better and CICS 210 (or COMPSCI 186 or 187) with a grade of C or better | Junior and senior Informatics students |
| MARKET 413: Social Media and Marketing Analytics | Marketing 301 | Open to Seniors in the Isenberg School of Management only |
| MARKET 455: Internet Marketing | MARKETNG 301 | Marketing Majors only |
| MATH 456: Mathematical Modeling | MATH 233 and 235. Note: Math 331 or permission of instructor is required for this course. | |
| MATH 551: Intro to Scientific Computing | MATH 233 & 235 and either COMPSCI 121, CICS 110, INFO 190S, E&C-ENG 122, PHYSICS 281, or E&C-ENG 242 | |
| NRC 585: Intro to Geographic Information Systems | Open to graduate students in ECO, SUSTAIN SCIENCE, GEOLOGY, or GEOGRAPHY and seniors and juniors in NRC, BCT, ENVIRSCI, GEOLOGY, GEOGRAPHY, or Earth Systems | |
| OIM 350: Business Intelligence and Analytics | OIM 210 (formerly SCH-MGMT 210) | A few spaces open for INFO majors in each section; otherwise open to Isenberg School of Management majors only |
| OIM 454: Machine Learning in Business | OIM 350 and either OIM 240, STATISTC 240, RES-ECON 211, or RES-ECON 212 | Open to Isenberg School of Management majors only |
| PUBHLTH 413: Intro to Epi Mgmt & Analysis (HLS) | PUBHLTH 223 and 224 | Public Health majors only |
| STATISTC 315: Statistics I | MATH 132 with a grade of C or better. Note: Math 233 is strongly recommended for this course. | |
| STATISTC 501: Meth Applied Stats | Statistc 501 is a non-calculus-based applied statistics course for graduate students and upper level undergraduates with no previous background in statistics. | Open to Seniors, Juniors and Graduate students only. |
| STATISTC 516: Statistics Il | STATISTC 315 (formerly 515) with a grade of C or better | |
| STATISTC 525: Regression & Analysis of Variance | STATISTC 516 | Junior and senior undergraduate Math and Statistics majors only |
| STATISTC 526: Design of Experiment | STATISTC 516 and COMPSCI 121, INFO 190S, or CICS 110 | Open to graduate BIOSTATS, MATH, and STATISTC students and undergraduate COMPSCI, MATH, and STATISTC students |
| STATISTC 535: Statistical Computing | STATISTC 516 and CICS 110 (or COMPSCI 121 or INFO 190S). Note: Prior knowledge of statistical methods and programming experience (STAT 525 or equivalent) is strongly recommended for this course. | Open to COMPSCI and Math majors only. To submit an override request, please visit: https://goo.gl/forms/njwWgVZjhsjWDP1y2 |