Code Title Credits
First Year
1st Semester
FYS SEM First-Year Student Seminar 0
DS 100 Basic Foundations of Data Science 3
ENGL 101 English Composition: Introduction to Academic Writing 3
IS 117 Introduction to Website Development 3
MATH 138 General Calculus I * 3
Science Literacy GER Science Literacy GER 3
Term Credits 15
2nd Semester
ENGL 102 English Composition: Introduction to Writing for Research 3
DS 110 Basic Foundations of Artificial Intelligence 3
IS 265 Introduction to Information Systems 3
Science Literacy with Lab GER Science Literacy with Lab GER 4
MATH 105 Elementary Probability and Statistics 3
Term Credits 16
Second Year
1st Semester
General Elective 1 — 3
IS 218 Building Web Applications 3
MGMT 216 Business Data Analytics 3
IS 350 Computers, Society and Ethics 3
IS 247 Designing the User Experience 3
Term Credits 15
2nd Semester
YWCC 207 Computing & Effective Com 1
History and Humanities GER 200 level History and Humanities GER 200 level 3
General Elective 2 — 3
CS 118 Introduction to Computer Science II in Python 3
IS 331 Database Design Management and Applications 3
IS 390 Requirements Analysis and Systems Design 3
Term Credits 16
Third Year
1st Semester
COM 312

or COM 313
Effective Communication

or Writing in the Workplace
3
History and Humanities GER 300+ level History and Humanities GER 300+ level 3
IS 392 AI-Driven Text Analytics 3
IS 465 Data Analytics for Business Information Systems 3
IS 375 Discovering User Needs for UX 3
Term Credits 15
2nd Semester
YWCC 307 Professional Dev in Computing 1
General Elective 3 2 — 3
IS 480 Data-Centric AI 3
General Elective 4 — 3
IS 448 Usability & Measuring UX 3
IS 455 IS Mgmt & Business Processes 3
Term Credits 16
Fourth Year
1st Semester
General Elective 5 2 — 3
IE 492

or ENTR 210
Engineering Management

or Introduction to Entrepreneurship
3
IT 310 E-Commerce Technology 3
MGMT 480 Managing Technology and Innovation 3
Humanities and Social Science Senior Seminar GER Humanities and Social Science Senior Seminar GER 3
Term Credits 15
2nd Semester
General Elective 6 2 — 3
General Elective 7 2 — 3
IS 491

or IT 491
Senior Project - IS

or IT Capstone Project
3
IS 425 Enterprise AI Applications & Infrastructure 3
Term Credits 12
Total Credits 120

 

1 Math: We highly recommend MATH 333 Probability and Statistics to replace MATH 105 Elementary Probability and Statistics, particularly for students contemplating advanced or graduate work in computing. We also encourage you to take one or more advanced statistics courses as free electives, such as MATH 341 Statistical Methods II or MATH 344 Regression Analysis both of which require MATH 333 Probability and Statistics as a prerequisite.

2 Independent Study (optionally leading to the Undergraduate Thesis Option): We encourage you to consider an independent study (IS 488) as part of your electives as juniors and seniors. You could then continue with an Undergraduate Thesis (IS 489), which optionally can substitute for IS 491 or IT 491. The thesis option is explained further on the Informatics Department web site. Please consult your advisor as early in your studies as possible to plan appropriately for all of these opportunities.

* Student can take MATH 111  (Calculus I) instead of MATH 138 (General Calculus I)