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
Please see the Dearborn Discovery Core (General Education) webpage or additional information.
Foundational Studies
Writing and Communication (GEWO) – 6 Credits
Upper-Level Writing Intensive (GEWI) – 3 Credits
Quantitative Thinking and Problem Solving (GEQT) – 3 Credits
Critical and Creative Thinking (GECC) – 3 Credits
Areas of Inquiry
Natural Science (GENS) – 7 Credits
- Lecture/Lab Science Course
- Additional Science Course
Social and Behavioral Analysis (GESB) – 9 Credits
Humanities and the Arts (GEHA) – 6 Credits
Intersections (GEIN) – 6 Credits
Capstone
Capstone (GECE) – 3 Credits
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 | 0,2 |
| 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 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 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.