Data Science/Economics
(Concurrent degree with the College of Arts, Sciences, and Letters)
Students with an interest in both areas of Data Science and Economics can pursue a concurrent BS program to earn two BS degrees at the same time:
- BS degree in Data Science
- BS degree in Economics
The concurrent degree program requires specified coursework with a minimum of 15 additional credit hours beyond the 120 credit hours required for the BS-DATA or the BS-ECON alone.
Data scientists, empowered by economic theories and methodologies, can refine their models, make more accurate predictions, inform policy decisions, and contribute to a deeper understanding of complex economic systems. Economists, empowered by data science, can construct complex models and analyze and interpret Big data.
Dearborn Discovery Core
Please see the Dearborn Discovery Core (General Education) webpage or additional information.
A candidate for the Bachelor of Science in Data Science and the Bachelor of Science in Economics concurrently is required to fulfill the requirements for the Dearborn Discovery Core, as well as CASL requirements (two-semester sequence of foreign language).
Major Requirements
| Code | Title | Credit Hours |
|---|---|---|
| Data Science Prerequisites | ||
| COMP 105 | Writing & Rhetoric I | 3 |
| COMP 270 | Tech Writing for Engineers | 3 |
| MATH 115 | Calculus I | 4 |
| MATH 116 | Calculus II | 4 |
| MATH 215 | Calculus III | 4 |
| MATH 227 | Introduction to Linear Algebra | 3 |
| CIS 1501 | CS I for Data Scientists | 4 |
| CIS 2001 | CS II for Data Scientists | 4 |
| One course from the following: | 3-4 | |
| Discrete Structures I | ||
| Discrete Math Meth Comptr Engr | ||
| Applied Combinatorics | ||
| Select one laboratory science sequence from the following: | 8 | |
| Intro Org and Environ Biology and Field Biology | ||
| General Chemistry IA and General Chemistry IIA | ||
| Physical Geology and Historical Geology | ||
| Introductory Physics I and Introductory Physics II | ||
| General Physics I and General Physics II | ||
| Economics Prerequisites | ||
| ECON 201 | Prin: Macroeconomics | 3 |
| ECON 202 | Prin: Microeconomics | 3 |
| CASL Requirements | ||
| Foundations - any one FNDS or CPBL 101, 102, 103, 104 | 4 | |
| Foreign Language - Select a two course sequence from the following: 6 | 8 | |
| Introduction to Arabic Language and Culture 1 and Introduction to Arabic Language and Culture 2 | ||
| French Language & Culture I and French Language & Culture II | ||
| Beginning German I and German Language and Culture II | ||
| Spanish Language & Culture I and Spanish Language & Culture II | ||
| Data Science Core | ||
| 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 |
| ENGR 400 | Appl Business Tech for Engr | 3 |
| or ENT 400 | Entrepreneurial Thinking&Behav | |
| HHS 470 | Information Science and Ethics | 3 |
| STAT 305 | Introduction to Data Science for All | 3 |
| STAT 325 | Applied Statistics I | 4 |
| or IMSE 317 | Eng Probability and Statistics | |
| STAT 430 | Applied Regression Analysis | 3 |
| CIS 4971 | Cap Sem for Data Sci I | 2 |
| CIS 4972 | Cap Proj for Data Sci II | 2 |
| Economics Core 1 | ||
| ECON 301 | Intermediate Macroeconomics 2,3,4 | 4 |
| ECON 302 | Intermediate Microeconomics 2,3,4 | 4 |
| Data Science Applications - Economics Electives | ||
| Students should complete 20 credit hours of ECON 300/400/4000 electives, not counting the core classes ECON 301, ECON 302, ECON 305. 5 | 20 | |
| Data Science Electives | ||
| Choose one course from the list below. It is recommended that students take CIS 479 that also fulfills DDC Intersection requirement. | 3-4 | |
| Discrete Structures II | ||
| Introduction to Natural Language Processing | ||
| Dec Support and Exp Systems | ||
| Information Systems | ||
| Text Mining and Information Retrieval | ||
| Wireless & Mobi Comp Security | ||
| Intro to Software Security | ||
| Intro to Artificial Intel | ||
| Computational Learning | ||
| Deep Learning | ||
| Edge Computing | ||
| Data Security and Privacy | ||
| Introduction to Simulation | ||
| Cloud Computing | ||
| Introduction to Machine Learning | ||
| Experiential Honors Prof. Prac | ||
| Exper Honors Directed Research | ||
| Exper Hnrs Dir Dsgn | ||
| Intro to Operations Research | ||
| Eng Economy and Dec Anlys | ||
| Applied stat models in engin | ||
| Simulation in Systems Design | ||
| Prod, Inven Control & Lean Mfg | ||
| Probability | ||
| Stochastic Processes | ||
| Statistical Inference | ||
| Mathematics of Finance | ||
| Mathematical Modeling | ||
| Introduction to Numerical Analysis | ||
| Matrix Computation | ||
| Statistical Computing | ||
| Machine Learning and Computational Statistics | ||
| Design and Analysis of Experiments | ||
| Multivariate Stat Analysis | ||
| Time Series Analysis | ||
| General Electives | ||
| Any 100 to 400 level course, (that is, courses not on the No Credit list, which is found at the end of the CECS Student Handbook), as needed to get a minimum of 135 credits for graduation. | 6 | |
| Total Credit Hours | 135-137 | |
- 1
ECON 305 requirement for Economics major is fulfilled by taking IMSE 317 or STAT 325.
- 2
MATH 104,MATH 105,MATH 113,MATH 115, or equivalent are prerequisites to these courses.
- 3
Core courses ECON 301and ECON 302 should be taken no later than the junior year.
- 4
Only one of the two courses may be transferred to UM-D.
- 5
Only 4 credits of economics internship (ECON 398), can be applied to the major requirement.
- 6
The foreign language requirement can be met by:
- Successfully completing a two-semester beginning language sequence at UM-Dearborn, or
- Transferring the equivalent of 8 semester hours of a beginning language sequence from another college or university, or
- Successfully completing a 3- or 4-semester hour foreign language course (this course cannot be taught in English) at the 102 level or higher, or
- Having completed at least 3 years (in the same language) of foreign language in high school with a grade of C or better in the final course, or
- Having completed the equivalent of a high school diploma at a school that used a language other than English for instruction. (Appropriate documentation attesting to the language of instruction and graduation from the high school program is necessary, and official English translations of foreign transcripts must be provided), or
- Passing an oral and written proficiency exam.
A student with prior knowledge of Arabic, French, German or Spanish should take a placement examination before registering for a course in that language. Placement/proficiency exams in Arabic, French, German, and Spanish are scheduled through the Office of Admissions and Orientation; call 313-593-5100. A student wishing to take a proficiency exam in a language not mentioned above or not taught at UM-Dearborn should consult a CASL advisor; call 313-593-5293 for more information. Proficiency exams for a language other than those taught at UM-Dearborn must be administered at another four-year institution. A student wishing to waive the foreign language requirement must officially submit a request via petition. Please note that when the requirement is waived, or proficiency is demonstrated by exam, credit will not be awarded for courses not taken.