Registration for Spring 2025 Classes

Course enrollment for the Spring 2025 semester starts October 28 2024.

Please follow these steps in preparation for an advising appointment: link

These are the courses offered in Spring 2025 that are eligible for the DSE programs (*** indicates that courses are available online).

Course No Course Name Section Instructor Campus
Required
DSE 510 Data Science Practicum*** 47515-0190 M. Dube UM
Foundations (Optional)
DSE 502 Programming Foundation of DSE*** 47596-0190 K. Bird UM
SIE508 Object-Oriented Programming with Python*** S. Nittel UM
Theme 1
GEO 505 Remote Sensing*** 48115 F. Pavri UM
ECE 533 Advanced Robotics 45324 V. Dhiman UMA
SVT 531 Advanced Digital Photogrammetry*** 45286-0190 R. Hintz UM
Theme 2
SIE557 Database System Applications*** (closed) 47126-0190 J. Paul UM
COS 542 Cluster Computing P. Dickens UM
ECE 574 Cluster Computing 46907 V. Weaver UM
Theme 3
BUA 680 Foundations of Business Intelligence and Analysis*** 47421-0190 and 47422-0190 Y. Lu / H. Takeda UM
COS 575 Machine Learning*** 47541-0190 C. Chen UM
ECE 591 Deep Learning 47514 Y. Zhu UM
Theme 4
BUA 683 Information Visualization*** 47419-0190 (second half semester) Y. Lu UM
DSC 552 Data Visualization*** M. Dube UMA
EHD 590 Educational Data Analysis & Visualization with R Kamal Chawla UM
SIE 516 Interactive Technologies for Solving Real-World Problems*** 47124-0190 N. Giudice UM
Theme 5
COS 530 Introduction to Cybersecurity S. Ghanavati UM
DIG 550 Digital Preservation*** 47148-0990 Ippolito/Bird UM
CYB 501 Cybersecurity Fundamentals*** 88515 H. Felch UMA
SIE 525 Information Systems Law*** 45553-01910 G. Nelson UMA
Domains
Business
BUA 601 Strategic Data Analysis*** 46780-0190 and 46781-0190 Q. Zheng UM
BUA 680 Foundations of Business Intelligence and Analysis*** 47421-0190 and 47422-0190 Y. Lu / H. Takeda UM
BUA 683 Information Visualization*** 47419-0190 (second half semester) Y. Lu UM
BUA 686 Predictive Analytics and Business Forecasting*** 47420-0190 (first half semester) Q. Zheng UM
Bioinformatics
BMB 502 Intro to Bioinformatics*** 47329-0990 L. Jackson UM
BMB 502 Intro to Bioinformatics 47328-0001 (in-person) B. King UM
BMB 520 Introduction to Image Analysis 47392-0001 (in-person) J.B. Kelley UM
Spatial
SIE 510 Geographic Information Systems Applications*** 46537-0190 M. Cressey UM

(**) If you cannot register for a BUA course, please contact Dr. Meghan Gardner(***)  (meghan.gardner At maine.edu).

(*) If you cannot register for SIE courses, please contact Karen Kidder (kkidder AT Maine.edu)

  • After the initial enrollment, you can self-service enroll in courses using Mainestreet.
    • Please check with the Grad School for more information here.
    • You can enroll in and drop courses.
    • Note, that each semester, courses usually can be added until the end of the first semester week, and dropped for a full refund until about 3 weeks after the beginning of the semester.
  • Before contacting your academic advisor to determine the courses for the following semester, please fill out or update your program of study spreadsheet (below) and send it along to your advisor when requesting a meeting.
  • To track your progress in your program please use one of the following program of study sheets:
  • If you plan to do a DSE589 Graduate Project course or a DSE590 Internship course in the following, please contact the DSE Director Dr. Nittel ahead of time (before start of the semester). Approval for both courses is necessary.
  • Taking courses at other UM campuses:
    • You will register as a non-degree student at the other campuses to take a course. Please check the contact information below.
    • If you have financial support (such as a graduate assistantship), please fill out and submit a Domestic Study away form. (form)
    • If you do not have financial support via UM, please contact Emily Kuhlmann (emily.kuhlmann@maine.edu) at the end of the semester to transfer the credit to UMaine. She will ask you to fill out a program of study, including the transferred credit.
    • For courses at USM, please contact:
    • For courses at UMA, please contact: