Data Sciences Minor
The data sciences minor from CBU teaches students how to work with data and make meaningful, data-driven decisions. Knowing these skills will give students an edge in the workforce as data has become the language of the world.
The data sciences minor requires the completion of the following 18 units.
Programming and Statistics Requirements
Complete one of the following:
EGR121 Intro Computer Programming C++
Introduction to computer science. Covers problem solving methods and algorithm development; modern programming methodologies; and fundamentals of high-level block structured language using C++. Prerequisite: EGR 181 or MAT 115. (3 units; Fall, Spring, & Online)
EGR121-E Kim, Mark Sun |
09/05/2023 | MWF | 3:45 PM - 4:45 PM | Engineering 107 |
EGR121-B Shade, Karen S |
09/05/2023 | MWF | 8:15 AM - 9:15 AM | Engineering 107 |
EGR121-C Shade, Karen S |
09/05/2023 | MWF | 1:15 PM - 2:15 PM | Engineering 107 |
EGR121-A Kim, Mark Sun |
09/05/2023 | MWF | 2:30 PM - 3:30 PM | Engineering 107 |
EGR121-D Shade, Karen S |
09/05/2023 | MWF | 9:30 AM - 10:30 AM | Engineering 214 |
EGR121-A Shade, Karen S |
01/08/2024 | MWF | 10:45 AM - 11:45 AM | Engineering 119 |
EGR121-B Shade, Karen S |
01/08/2024 | MWF | 3:45 PM - 4:45 PM | Engineering 301 |
EGR121-C Shade, Karen S |
01/08/2024 | MWF | 2:30 PM - 3:30 PM | Engineering 119 |
EGR121-D Shade, Karen S |
01/08/2024 | MWF | 8:15 AM - 9:15 AM | Engineering 119 |
EGR121-A Kim, Mark Sun |
09/03/2024 | MWF | 2:30 PM - 3:30 PM | Engineering 107 |
EGR121-B Shade, Karen S |
09/03/2024 | MWF | 8:15 AM - 9:15 AM | Engineering 107 |
EGR121-C Shade, Karen S |
09/03/2024 | MWF | 1:15 PM - 2:15 PM | Engineering 107 |
EGR121-D Shade, Karen S |
09/03/2024 | MWF | 9:30 AM - 10:30 AM | Engineering 214 |
EGR121-E Kim, Mark Sun |
09/03/2024 | MWF | 3:45 PM - 4:45 PM | Engineering 107 |
CIS268 Computer Programming Languages
In this course concepts of computer programming languages are presented. Attention is given to the common constructs of programming languages as well as a structured approach to program development. The programming language may change from semester to semester. (3 units; Spring)
CIS268-A Corso, Anthony J. |
09/05/2023 | WF | 9:30 AM - 10:30 AM | Engineering ONLN |
CIS268-A Corso, Anthony J. |
01/08/2024 | WF | 9:30 AM - 10:30 AM | Engineering ONLN |
CIS268-A Corso, Anthony J. |
09/03/2024 | WF | 9:30 AM - 10:30 AM | Engineering ONLN |
Complete one of the following:
EGR305 Engineering Statistics
An introduction to the primary statistical and probabilistic models used in the collection and interpretation of engineering data. The focus is on summary techniques, regression models, and application of the central limit theorem, confidence intervals, hypothesis tests, and analysis of variance. Prerequisite: MAT 245. (3 units; Fall/Spring)
EGR305-B Zhou, Ziliang |
09/05/2023 | TTh | 2:00 PM - 3:30 PM | Engineering 301 |
EGR305-C Knisley, Benjamin David |
09/05/2023 | MWF | 3:45 PM - 4:45 PM | Instructor OFFC |
EGR305-A Kim, Seung-Jae |
01/08/2024 | TTh | 2:00 PM - 3:30 PM | Engineering 130 |
EGR305-C Zhou, Ziliang |
01/08/2024 | TTh | 10:30 AM - 12:00 PM | Engineering 204 |
EGR305-A Zhou, Ziliang |
09/03/2024 | TTh | 2:00 PM - 3:30 PM | Engineering 301 |
EGR305-B Knisley, Benjamin David |
09/03/2024 | MWF | 3:45 PM - 4:45 PM | Instructor OFFC |
STA144 Introduction to Statistics
Mathematical theory and applications, development of formulae, principles of statistical decision theory, descriptive measurements, probability concepts, random variables, normal distribution, inferential statistics, sampling distributions, confidence intervals, hypothesis testing, chi-squared procedures, linear regression, and the use of computers in statistics. Prerequisite: MAT 115 or sufficient SAT, ACT or math placement exam scores and appropriate high school mathematics background. (3 units; Fall, Spring, & Online)
STA144-D Baidoo-Jackson, Linda |
09/05/2023 | MWF | 9:30 AM - 10:30 AM | Mission Hall 126 |
STA144-C Carothers, Linn E. |
09/05/2023 | MWF | 2:30 PM - 3:30 PM | Mission Hall 109 |
STA144-B Carothers, Linn E. |
09/05/2023 | MWF | 1:15 PM - 2:15 PM | Mission Hall 109 |
STA144-A Carothers, Linn E. |
09/05/2023 | MWF | 12:00 PM - 1:00 PM | Mission Hall 109 |
STA144-A Carothers, Linn E. |
01/08/2024 | MWF | 12:00 PM - 1:00 PM | BUS 252 |
STA144-B Carothers, Linn E. |
01/08/2024 | MWF | 1:15 PM - 2:15 PM | BUS 203 |
STA144-A Carothers, Linn E. |
05/06/2024 | - | Online | |
STA144-B Carothers, Linn E. |
07/01/2024 | - | Online | |
STA144-B Carothers, Linn E. |
09/03/2024 | MWF | 1:15 PM - 2:15 PM | TBA |
STA144-C Carothers, Linn E. |
09/03/2024 | MWF | 2:30 PM - 3:30 PM | TBA |
STA144-A Carothers, Linn E. |
09/03/2024 | MWF | 12:00 PM - 1:00 PM | Yeager Center A110 |
STA310 Mathematical Statistics I
The first semester of a two-semester course providing a systematic development of the theories of probability and statistics. Students learn and use fundamental concepts of probability models, random variables and their distributions, reduction of data, estimation, testing of hypotheses, univariate normal inference, and statistical decision theory. The first semester is required for BA and BS statistics majors of all concentrations. Prerequisites: MAT 245, and one of the following: CIS 268, EGR 121, or STA 144. (3 units; Fall, even years)
STA310-A Noh, Heewon Esther_AKA:_Esther_L |
09/03/2024 | TTh | 12:15 PM - 1:45 PM | TBA |
Upper Division Requirements
Complete one of the following:
EGR325 Database Systems
Overview of current database technologies with an emphasis on relational database technology. Introduction to database design, entity relationship diagraming, structured query language, and stored procedures. Prerequisite: CIS 268 or EGR 121. (3 units; Spring)
EGR325-A Corso, Anthony J. |
01/08/2024 | TTh | 3:45 PM - 5:15 PM | Engineering 104 |
EGR325-B Clement, Larry W. |
01/08/2024 | TTh | 2:00 PM - 3:30 PM | Engineering 104 |
CIT370 Database Design and Processing
This course is a comprehensive introduction to data management in organizations. It establishes the data management foundation for the computing major. Topics include conceptual and logical data modeling, entity relationship and relational data modeling, and database design and implementation using the SQL programming language. (3 units; Online)
Complete one of the following:
CIS465 Essntials of Geographic Info Sys
The course provides an overview of the theoretical foundation and applied use of Geographic Information Systems (GIS). At the conclusion of the course, students will have working knowledge of GIS and their appropriate application in various disciplines and organizational settings. The historical development of innovative and collaborative geographic information tools that assist with managing the challenges associated with positional data will also be introduced. Students will demonstrate acquired knowledge via application of the fundamental and principal concepts of geographical information systems by completing a series of lab assignments and a culminating research project. Prerequisites: EGR 121 and CIS 265. (3 units; Fall)
STA360 Data Visualization
This course provides the tools to create and critically evaluate data visualizations. Focus will be on statistical graphics, graphics that display statistical data. Additionally, recent advances in the field of information visualization will be covered. Prerequisite: STA 144. (3 units; Spring, even years)
STA360-A Noh, Heewon Esther_AKA:_Esther_L |
01/08/2024 | TTh | 8:45 AM - 10:15 AM | Yeager Center ONLN |
Upper Division Elective Requirements
Complete 6 additional units from the following:
CSC422 Machine and Deep Learning
This course covers introductory machine learning topics including supervised and unsupervised learning, linear and logistic regression, support vector machines, neural networks (MLPs, CNNs, RNNs, GANs) and more. Coursework includes instruction and programming assignments in algorithmic implementations and high-level library usage. Students also apply machine learning techniques to a unique research project. Prerequisites: EGR 121 or CIS 268, and one of the following: EGR 305, MAT 353, STA 144, 310, or one additional, approved statistic course. (3 units; Fall)
CSC423 Data Mining
The course commences with an examination of the knowledge discovery process. In particular, the introduction equips students with the strategic thinking skills essential to focus on cutting edge data mining techniques that can be applied in a wide variety of settings, e.g., business, engineering, health care, science, etc. Traditional topics include data mining algorithms and implementation issues, advantages and disadvantages of data mining, and examples of knowledge engineering. Current topics such as ubiquitous, distributed, and spatiotemporal geographic data mining will also be explored. This is a practical hands-on course that culminates in a real-world project implemented via open source tools. Prerequisites: EGR 121 or CIS 268, and one of the following: EGR 305, MAT 353, STA 144, 310, or one additional, approved statistics course. (3 units; Fall)
CSC424 Natural Language Processing
Natural language is ubiquitous, e.g., humans speak and write to communicate, to transfer information, and to document knowledge. Natural Language Processing (NLP) is an integral component in countless information systems requiring advanced manipulation of natural language. In this class, students will be introduced to NLP starting with the concept of understanding words in context and the need for natural language processing in the business environment. The discussion continues with a detailed study of words and is a foundational framework supporting phonetics and speech synthesis. Subsequent topics include concepts of how words are grouped together to form unique grammatical units. The last part of the course, explores solving real-world NLP problems and deals with two key areas: corpus building, feature engineering, and application development. Course material is presented via theory-based lectures, group discussion, and practical labs-a culminating research project will be individually crafted. Prerequisites: EGR 121 or CIS 268, and one of the following: EGR 305, MAT 353, STA 144, 310, or one additional, approved statistics course. (3 units; Spring)