Computer and Information Science/Data Science
Students with an interest in both areas can pursue a dual BS program in Computer and Information Science and Data Science and thus can earn two BS degrees at the same time:
- BS degree in Computer and Information Science (Computer Science Concentration)
- BS degree in Data Science
The dual degree program requires specified coursework that equals a minimum of 139 total credits.
Dearborn Discovery Core (General Education)
All students must satisfy the University’s Dearborn Discovery Core requirements, in addition to the requirements for the major
Major Requirements
In addition to completion of the Dearborn Discovery Core, the following courses are required to earn a dual BS degree in Computer and Information Science and Data Science.
Prerequiste Courses
| Code | Title | Credit Hours |
|---|---|---|
| COMP 105 | Writing & Rhetoric I | 3 |
| COMP 270 | Tech Writing for Engineers (Fulfills 3 credits of DDC Written and Oral Communication) | 3 |
| ECON 201 | Prin: Macroeconomics (Fulfills 3 credits of DDC Social and Behavioral Analysis) | 3 |
| or ECON 202 | Prin: Microeconomics | |
| Select a two course sequence from the following: | 8 | |
| Intro Org and Environ Biology and Field Biology (IF BIOL 130 & 320 is selected, you must select CHEM 134 as your additional science course.) | ||
| General Chemistry IA and General Chemistry IIA | ||
| Physical Geology and Historical Geology | ||
| Introductory Physics I and Introductory Physics II 1 | ||
| General Physics I and General Physics II 1 | ||
| MATH 115 | Calculus I | 4 |
| MATH 116 | Calculus II | 4 |
| MATH 215 | Calculus III | 4 |
| MATH 227 | Introduction to Linear Algebra | 3 |
| IMSE 317 | Eng Probability and Statistics | 3 |
| Select one of the following two Groups of courses and take all course from that group: | ||
| Group 1: | 11 | |
| CS I for Data Scientists | ||
| CS II for Data Scientists | ||
| Java Programming | ||
or CIS 297 | Intro to C Sharp | |
| Group 2: | 11 | |
| Computer Science I | ||
| Computer Science II | ||
| Intro to Python | ||
| CIS 275 | Discrete Structures I | 4 |
Dual Major in CSDS Core Courses
| Code | Title | Credit Hours |
|---|---|---|
| CIS 310 | Computer Org and Assembly Lang | 4 |
| CIS 350 | Data Struc and Algorithm Anlys | 4 |
| CIS 375 | Software Engineering I | 4 |
| ECE 3100 | Data Science I | 4 |
| CIS 3200 | Data Science II | 4 |
| CIS 422 | Massive Data Management | 4 |
| CIS 427 | Comp Networks and Dis Process | 4 |
| CIS 450 | Operating Systems | 4 |
| HHS 470 | Information Science and Ethics | 3 |
| STAT 305 | Introduction to Data Science for All | 3 |
| STAT 430 | Applied Regression Analysis | 3 |
| CIS 4981 | Design Seminar for CIS-DS I | 2 |
| CIS 4982 | Design Seminar for CIS-DS II | 2 |
Concentration in Computer Science (required)
| Code | Title | Credit Hours |
|---|---|---|
| Select 4 credits from the following (must be a different subject than the previous two course science sequence): | 4 | |
| Introduction to Astronomy and Introductory Astronomy Lab | ||
| Intro Org and Environ Biology | ||
| Field Biology | ||
| General Chemistry IA 1,2 | ||
| General Chemistry IIA | ||
| Physical Geology | ||
| Historical Geology | ||
| Introductory Physics I 1 | ||
| Introductory Physics II 1 | ||
| General Physics I 1 | ||
| General Physics II 1 | ||
| CIS 306 | Discrete Structures II | 4 |
| CIS 479 | Intro to Artificial Intel | 3 |
| ENGR 400 | Appl Business Tech for Engr | 3 |
| or ENT 400 | Entrepreneurial Thinking&Behav | |
Data Science Applications Electives
| Code | Title | Credit Hours |
|---|---|---|
| Select 18 credits from the following: | 18 | |
| CCM 404 | Dynamical Systems | 3 |
| CCM 472 | Introduction to Numerical Analysis | 3 |
| CCM 473 | Matrix Computation | 3 |
| CIS 376 | Software Engineering II | 4 |
| CIS 405 | Algorithm Analysis & Design | 3 |
| CIS 411 | Introduction to Natural Language Processing | 3 |
| CIS 412 | Introduction to Quantum Computing | 3 |
| CIS 423 | Dec Support and Exp Systems | 3 |
| CIS 439 | Text Mining and Information Retrieval | 3 |
| CIS 446 | Wireless & Mobi Comp Security | 3 |
| CIS 449 | Intro to Software Security | 3 |
| CIS 451 | Computer Graphics | 3 |
| CIS 452 | Information Visualization and Virtualization | 3 |
| CIS 481 | Computational Learning | 3 |
| CIS 482 | Trustworthy Artificial Intelligence | 3 |
| CIS 483 | Deep Learning | 3 |
| CIS 4851 | Data Security and Privacy | 3 |
| CIS 489 | Edge Computing | 3 |
- 1
Credit for only one of the following two courses: PHYS 125 and PHYS 150, and PHYS 126 and PHYS 151
- 2
If BIOL 130 and BIOL 320 are selected for the two course science sequence, CHEM 134 must be selected as the additional science course.