Curriculum Details
Major Requirements (60 credits)
The major requirements are comprised of fundamental courses in mathematics, statistics, and computer science, concentration courses in either precision health or creative industries, as well as courses that enable students to develop professional experience and insights.
Required Major Courses BS in Data Science
Code | Course Title | Credits | Prerequisite(s)* |
---|---|---|---|
Mathematics and Statistics (27 cr) | |||
MAT105 | Calculus I | 4 | None |
MAT106 | Calculus II | 4 | MAT105 |
MAT201 | Linear Algebra | 4 | None |
STA101 | Introduction to Statistics | 3 | None |
STA202 | Introduction to Probability | 3 | STA101 & MAT106 |
STA211 | Statistical Theory and Methods | 3 | STA202 |
STA305 | Statistical Computing and Graphics | 3 | STA101 |
STA311 | Applied Regression Analysis | 3 | STA101 & MAT201 |
Computer Science (15 cr) | |||
CIS102 | Introduction to Computing | 3 | None |
CIS202 | Data Structure and Algorithms | 3 | CIS102 |
CIS321 | Database Systems | 3 | CIS102 |
CIS331 | Data Mining | 3 | STA202 & STA305 |
CIS421 | Machine Learning and Artificial Intelligence | 3 | CIS331 |
Senior Synthesis, Career Development, and Ethics (5 cr) | |||
DAS148 | Data Science Seminar Series I – Ethical Topics | 0 | None |
DAS248 | Data Science Seminar Series II – Career Prospects | 0.5 | None |
DAS348 | Data Science Seminar Series III – Emerging Fields | 0.5 | None |
DAS451 | Senior Project | 4 | Permission form |
Major Electives (13 cr) Select at least two courses of 300 or 400 level from the following list |
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CIS104 | Essentials for Software Development in Data Science | 3 | None |
CIS141 | Practical Data Analytics Using Python | 1 | CIS102 |
ECO211 | Microeconomics | 3 | MAT105 |
MAT207 | Calculus III | 3 | MAT106 |
CIS221 | Front-End Web Development: HTML, CSS, and React.JS | 2 | CIS102 |
CIS222 | Back-End Web Development: Server-Side Applications | 2 | CIS102 |
CIS242 | Computational Analysis and Practical Programming | 1 | MAT105, MAT201, STA101, CIS102 |
MAT311 | Linear Algebra and Optimization for Data Science | 3 | STA202, MAT201 |
CIS341 | Cloud Computing and Big Data | 3 | CIS102 |
DAS341 | Business Data Analysis | 3 | STA101 |
DAS342 | Health Data Analytics | 3 | STA101 |
STA315 | Advanced Statistical Computing and Graphics | 3 | STA305 |
DAS361 | Data Science Internship | 3 | Permission form |
STA421 | Design and Analysis of Experiments | 3 | STA211 |
STA431 | Multivariate Analysis | 3 | STA211 |
STA435 | Bayesian Analysis | 3 | STA211 |
STA441 | Survival Analysis | 3 | STA211 |
STA445 | Nonparametric Statistics | 3 | STA211 |
DAS421 | Sample Survey and Customer Analytics | 3 | STA101 |
DAS452 | Directed Study: Career Development | 2 | Permission form |
Total Credits Required for Graduation | 60 |
* The listed prerequisites can be waived with consent of instructor.
General Education (42 credits)
All undergraduate students are required to complete a minimum of 40 credits of General Education (Gen Ed) Core. Data Science program course requirement fulfills the Quantitative Reasoning requirement for Data Science majors.
Code | Course Title | Credits | Prerequisite(s) |
---|---|---|---|
College Core (11 cr) | |||
College Success (2 cr) | |||
LAS102 | College Success | 2 | None |
LAS004 | Career Development | 0 | None |
College English (3 cr) | |||
ENG101 | Effective English | 3 | Placement test |
World Civilizations (6 cr) | |||
CIV111 | Western Civilization | 3 | ENG101 |
CIV112 | Chinese Civilization | 3 | ACC221 |
CIV113 | World Civilization | 3 | None |
Breadth Distribution (23 cr, 3 cr fulfilled by major requirement) | |||
Humanities (6 cr) | |||
HUM125 | U.S. Society and Government | 3 | None |
HUM204 | Survey of Western Literature | 3 | ENG101 |
HUM221 | The Making of the Modern World | 3 | None |
HUM222 | Topics in Chinese History | 3 | None |
Writing and Rhetoric (3 cr) | |||
ENG104 | Public Speaking | 3 | ENG101 |
ENG201 | Academic Writing | 3 | ENG101 |
ENG205 | Writing for Media | 3 | ENG101 |
ENG221 | Debate and Argumentation | 3 | ENG101 |
Quantitative Reasoning (0 cr, 3 cr fulfilled by the following major courses) | |||
MAT105 | Calculus I | 4 | None |
MAT106 | Calculus II | 4 | MAT105 |
MAT201 | Linear Algebra | 4 | None |
STA101 | Introduction to Statistics | 3 | None |
Scientific Reasoning (6 cr) | |||
Social Sciences (3 cr) | |||
BMS135 | Introduction to Psychology | 3 | None |
ECO101 | Principles of Economics | 3 | None |
SOC101 | Introduction to Sociology | 3 | None |
Natural Sciences (3 cr, Select minimum 3 cr^ from the following list of courses) Overflow credits will be counted as Free Electives. | |||
BMS132 | Nutrition, Health, and Wellness | 3 | None |
BSC100 | Principles of Biology | 3 | Co-requisite |
BSC100L | Principles of Biology Lab | 1 | Co-requisite |
CHM100 | Principles of Chemistry | 3 | Co-requisite |
CHM100L | Principles of Chemistry Lab | 1 | Co-requisite |
PHY101 | General Physics I | 3 | Co-requisite |
PHY101L | General Physics I Lab | 1 | Co-requisite |
Art and Aesthetics (5 cr) | |||
ARH101 | Art History I | 3 | None |
ARH102 | Art History II | 3 | None |
ARH131 | History of Graphic Design | 3 | None |
ART111 | Visual Literacy I | 2 | None |
DAN242 | History of Dance: East and West | 2 | None |
ART107 | Dynamic Composition | 2 | None |
MUS240 | History of Music | 3 | None |
Values and Ethics (3 cr) | |||
PHL130 | Philosophical Perspectives I | 1 | None |
PHL131 | Philosophical Perspectives II | 1 | None |
PHL231 | Philosophical Perspectives III | 1 | PHL130 and PHL131 |
LAS005 | Self-cultivation Practice | 0 | None |
World Language and Literature (8 cr) | |||
CLC111 | Elementary Chinese I | 4 | Placement test |
CLC112 | Elementary Chinese II | 4 | CLC111 |
CLC211 | Intermediate Chinese I | 4 | Placement test |
CLC212 | Intermediate Chinese II | 4 | CLC211 |
CLC311 | Advanced Chinese I | 4 | Placement test |
CLC312 | Advanced Chinese II | 4 | CLC311 |
Total Required Credits | 45 |
Free Electives (9 credits)
Students are free to choose 18 credits beyond Major and Generation Education requirements from any college level courses offered by the College.