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
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.

BS in Data Science  ›  Curriculum Details