Data Science, B.S.
The University of South Carolina’s Bachelor of Science in Data Science is an interdisciplinary program that unites computer science, mathematics, and statistics to tackle real-world problems involving large scale data sets. Based in the College of Arts and Sciences, its faculty are from the Departments of Mathematics and Statistics in that college and from the Department of Computer Science and Engineering in the College of Engineering and Computing. It provides a strong foundation in all the stages of data analysis, and combines it with the advanced tools and theory needed for developing new methods.
In addition to preparing students for a career in data science, the degree can be customized for students who plan to pursue graduate programs in data science, computer science, mathematics, or statistics. Its curriculum allows students to take a minor or additional major in mathematics or statistics, a minor in computer science, or a second bachelor’s degree in computer science. It can also be combined with a minor or additional major in an area of application.
Other data centered programs at USC include those in the Departments of Computer Science, Mathematics, Statistics, the interdisciplinary Data Analytics B.S. and a Minor in Data Science. Students who are unsure which program they wish to pursue should consult with their advisor or Exploratory Advising immediately to make sure they take the correct MATH and STAT courses to allow for maximum flexibility.
Learning Outcomes
- Analyze complex data using data science knowledge and concepts; appropriate models and methods; quantitative tools; and problem-solving skills to address research questions
- Manage complex data sets to be able to extract useful information
- Synthesize knowledge in the core areas of data science, including statistical, mathematical, and programming fundamentals
- Identify the ethical, policy, and security considerations and issues of working with data and how its use impacts society
- Communicate data and reports effectively in either a data visualization, written or oral format appropriate to a non-technical audience
Admissions
Retention
To be retained in the program, a student must obtain a grade of C or higher in at most two attempts in all mathematics, computer science, and statistics courses required for graduation.
Transfer Requirement
Any student applying to transfer to the Data Science major from other programs within the University, or from other accredited colleges and universities, is required to have earned a grade of “B” or higher in at least one of the following courses, or their equivalent: USC’s MATH 141, MATH 142, MATH 241, STAT 509, or STAT 515. An AP or IB exam score that provides credit for MATH 142 also satisfies this requirement. STAT 509 and STAT 515 are advanced undergraduate courses. This requirement is in addition to the minimum University and College of Arts and Sciences requirements.
Program of Study
| Requirements | Credit Hours |
|---|---|
| 1. Carolina Core | 32-46 |
| 2. College Requirements | 15-18 |
| 3. Program Requirements | 32-49 |
| 4. Major Requirements | 24 |
Founding Documents Requirement
All undergraduate students must take a 3-credit course or its equivalent with a passing grade in the subject areas of History, Political Science, or African American Studies that covers the founding documents including the United State Constitution, the Declaration of Independence, the Emancipation Proclamation and one or more documents that are foundational to the African American Freedom struggle, and a minimum of five essays from the Federalist papers. This course may count as a requirement in any part of the program of study including the Carolina Core, the major, minor or cognate, or as a general elective. Courses that meet this requirement are listed here.
1. Carolina Core Requirements (32-46 hours)
CMW – Effective, Engaged, and Persuasive Communication: Written (6 hours)
must be passed with a grade of C or higher
- any CC-CMW courses
ARP – Analytical Reasoning and Problem Solving (8 hours)
must be passed with a grade of C or higher
SCI – Scientific Literacy (8 hours)
- Two 4-credit hour CC-SCI courses
GFL – Global Citizenship and Multicultural Understanding: Foreign Language (0-6 hours)
Demonstration of proficiency in one foreign language equivalent to the minimal passing grade on the exit examination in the 122 course is required. Students can demonstrate this proficiency by successfully completing Phase II of the Proficiency Test or by successfully completing the 122 course, including the exit exam administered as part of that course.
It is strongly recommended that students continuing the study of a foreign language begin college-level study of that language in their first semester and continue in that language until their particular foreign language requirement is completed.
GHS – Global Citizenship and Multicultural Understanding: Historical Thinking (3 hours)
- any CC-GHS course
GSS – Global Citizenship and Multicultural Understanding: Social Sciences (3 hours)
- any CC-GSS course
AIU – Aesthetic and Interpretive Understanding (3 hours)
- any CC-AIU course
CMS – Effective, Engaged, and Persuasive Communication: Spoken Component1 (0-3 hours)
- any overlay or stand-alone CC-CMS course
INF – Information Literacy1 (0-3 hours)
- any overlay or stand-alone CC-INF course
VSR – Values, Ethics, and Social Responsibility1 (0-3 hours)
- ISCI 215 or
- ITEC 101 or
- PHIL 325 or
- any overlay or stand-alone CC-VSR course
- 1
Carolina Core Stand Alone or Overlay Eligible Requirements — Overlay-approved courses offer students the option of meeting two Carolina Core components in a single course. A maximum of two overlays is allowed. The total Carolina Core credit hours must add up to a minimum of 31 hours. Some programs may have a higher number of minimum Carolina Core hours due to specified requirements.
2. College Requirements (15-18 hours)
Foreign Language (0-3 hours)
- only if needed to meet 122-level proficiency
Analytical Reasoning (6 hours)
must be passed with a grade of C or higher
History (3 hours)
The College of Arts and Sciences requires one additional GHS course beyond the Carolina Core GHS requirement.
- If the Carolina Core GHS requirement is fulfilled by a U.S. history course, the College of Arts and Sciences history requirement must be fulfilled by a non-U.S. history course.
- If the Carolina Core GHS requirement is fulfilled by a non-U.S. history course, the College of Arts and Sciences history requirement must be fulfilled by a U.S. history course.
Please select the College of Arts and Sciences history requirement from the approved list of U.S. and non-U.S. history courses.
Social Science and Fine Arts or Humanities (6 hours)
- Social Science (3 hours)
- The College of Arts and Science requires one 3- hour Social Science Course
- Fine Arts/Humanities (3 Hours)
- ENGL 363*, ENGL 462* or ENGL 463* must be passed with a grade of C or higher
- A student who has passed MGMT 250* with a grade of C or higher may use another 3-hour Fine Arts/Humanities course to satisfy this requirement.
3. Program Requirements (32-49 hours)
Supporting Courses (0-13 hours)
Supporting courses must be passed with a grade of C or higher
Supporting courses may be used to satisfy the requirements of a Minor or the Major Requirements of an additional major, in which case the hours are counted as part of that Minor or additional major.
| Course | Title | Credits |
|---|---|---|
| MATH 344 | Applied Linear Algebra (*) | 3 |
| or MATH 544 | Linear Algebra | |
| MATH 344L | Applied Linear Algebra Lab (*) | 1 |
| MATH 374 | Discrete Structures (*) | 3 |
| or MATH 574 | Discrete Mathematics I | |
| STAT 515 | Statistical Methods I (*) | 3 |
| or STAT 509 | Statistics for Engineers | |
| Ethics in Data Science * | 0-3 | |
| If ISCI 215 or ITEC 101 or PHIL 325 were not taken to fulfill the Carolina Core VSR requirement with a grade of C or higher, then one of the following must be taken: | ||
| Professional Issues in Computer Science and Engineering | ||
| Trusted Artificial Intelligence | ||
| Special Topics in Cyber Society and Ethics | ||
| Ethics in the Era of Big Data | ||
| Cyberethics and Information Policy | ||
| Social Issues in Information and Communications Technologies | ||
| Thriving in the Tech Age | ||
| Ethics of Science and Technology | ||
| Engineering Ethics | ||
| AI Ethics | ||
Minor (0-18 hours) optional
This major does not require a cognate or minor.
An optional minor may be added to a student’s program of study. A minor is intended to develop a coherent basic preparation in a second area of study. Courses applied toward general education requirements cannot be counted toward the minor. No course may satisfy both major and minor requirements. All minor courses must be passed with a grade of C or higher. At least half of the courses in the minor must be completed in residence at the University. A list of minor programs of study can be found at Programs A-Z.
An optional additional major may also be added to a student’s program of study. Additional majors must include all major courses as well as any prescribed courses noted (*) in the bulletin. Prescribed courses noted in the bulletin may be shared with Carolina Core, College requirements, and Program requirements in the primary program.
Electives (1-39 hours)
120 (or 128) degree applicable credits are required to complete any degree at USC. After the cognate, minor or second major is complete, any additional credits needed to reach 120 (or 128) total credits can be fulfilled by electives. No courses of a remedial, developmental, skill-acquiring, or vocational nature may apply as credit toward degrees in the College of Arts and Sciences. The College of Arts and Sciences allows the use of the Pass-Fail option on elective courses. Further clarification on inapplicable courses can be obtained from the College of Arts and Sciences.
4. Major Requirements (24 hours)
a minimum grade of C is required in all major courses
| Course | Title | Credits |
|---|---|---|
| Major Courses (18 hours) | ||
| STAT 516 | Statistical Methods II | 3 |
| STAT 542 | Computing for Data Science | 3 |
| CSCE 567 | Visualization Tools | 3 |
| CSCE/STAT 587 | Big Data Analytics | 3 |
| or STAT 530 | Applied Multivariate Statistics and Data Mining | |
| STAT 531/CSCE 588 | Advanced Machine Learning with Implementation | 3 |
| Select one of the following: | 3 | |
| Probability | ||
| Mathematical Foundation of Data Science and Machine Learning | ||
| Introduction to Deep Neural Networks | ||
| Mathematical Foundation of Network Science | ||
| Total Credit Hours | 18 | |
| Course | Title | Credits |
|---|---|---|
| Major Electives (6 hours) | ||
| Select two courses from the list below or from any of STAT 530, CSCE 587/STAT 587, MATH 511/STAT 511, MATH 528, MATH 529, or MATH 572 that were not taken as Major Courses. | 6 | |
| Analysis of Experimental Data in Python | ||
| Parallel Computing | ||
| Artificial Intelligence | ||
| Bayesian Networks and Decision Graphs | ||
| Machine Learning Systems | ||
| Nonlinear Optimization | ||
| Mathematical Statistics | ||
| Advanced Statistical Models | ||
| Sampling | ||
| Introduction to Bayesian Data Analysis | ||
| Computing in Statistics | ||
| Advanced SAS Programming | ||
| Bayesian Networks and Decision Graphs | ||
| Genomic Data Science | ||
| Total Credit Hours | 6 | |
The following courses have prerequisites not required in the program: CSCE 580, STAT 512, STAT 535 and STAT 541.
Major Map
A major map is a layout of required courses in a given program of study, including critical courses and suggested course sequences to ensure a clear path to graduation.
Major maps are only a suggested or recommended sequence of courses required in a program of study. Please contact your academic advisor for assistance in the application of specific coursework to a program of study and course selection and planning for upcoming semesters.