Chatham University

Applied Data Science Analytics Curriculum

The Applied Data Science Analytics curriculum allows students to develop theoretical understanding of data analytics and translate theory into practice through hands-on applications. Students can benefit from innovative courses such as Digital Marketing (BUS496), which engages students in the analytics of online advertising and promotion data, and Careers for the Digital Age (IND250), which explores computing and digital skills essential to professionals in the 21st century.

Students can also choose a minor in a specialized field, such as a business field, political science, sustainability, biology, psychology, mathematics, or more.

Program Requirements

+Major Requirements

48 credits

DSA100 Introduction to Data Science/Analytics
PHI121 Introduction to Logic

An introduction to critical thinking, induction, deduction, and contemporary symbolic logic including argument symbolization, proof construction, and truth tables.

3
BUS171 Information Systems and Operations

This course explores basic concepts of communication networks (e.g., the Internet), hardware, software, databases, and systems. Students apply information systems to decision making, communication, collaboration and coordination in the operations of contemporary organizations. Students gain skills in word processing, presentation software, data visualization, spreadsheets, and relational databases.

3
CMP202 Introduction to Programming

An introduction to programming using C++ for students with no previous computer programming experience. Includes introduction to algorithms and object-oriented programming techniques. Prerequisite(s): CMP 140 or permission of the instructor

3
CMP283 Database Management Systems

This course is a study of database management systems and their applications to a wide range of information processing needs. Students design and implement database management systems while being introduced to a conceptual model of a database environment comprised of five basic components: databases, database management systems, data dictionary/directory systems, database administration, and user-system interfaces.

Prerequisite(s): CMP 202 or permission of the instructor.

3
MTH110 Elementary Statistics

Topics include statistical measures and distributions, decision making under uncertainty, application of probability to statistical inference, linear correlation, introduction to nonparametric statistical methods, and application to problems drawn from the natural and social sciences. Three hours of class per week. Three hours of class per week.

3
MTH151 Calculus I

This is the first course in the calculus sequence. Topics include differential and integral calculus for algebraic and trigonometirc functions with applications. Four hours of class per week.

4
MTH152 Calculus II

This is the second course in the calculus sequence. Topics include differential and integral calculus for the transcendental functions, advanced methods of integration, and infinite sequences and series. Prerequisite(s): MTH 151

4
MTH221 Linear Algebra

Topics include finite dimensional vector spaces, geometry of R, linear functions, systems of linear equations, and theory of matrices and determinants.

3
MTH222 Multivariate and Vector Calculus

An introduction to multivariate calculus using vector spaces, partial differentiation and multiple integration, calculus of vector functions, applications to extremum problems, and differential equations. Three hours of class per week. Prerequisite(s): MTH 152

3
BUS310W Business Analytics: Research Methods

This course introduces research methods and tools as the foundations of business analytics. Topics include problem definition, literature review, theory development, research design, sampling theory, construct measurement, data collection, data analysis, reporting results, interpreting findings, and developing actionable recommendations.

3
INTDSA303 Internship (3)
CMP411 Machine Learning (3)
DSA400W Data Visualization & Communication (3)
BUS421 Information and Cybersecurity

This course introduces fundamental issues in information and cybersecurity, with an emphasis on vulnerabilities available to cyber attackers. Students develop conceptual tools for identifying vulnerabilities, assessing threats, analyzing risk, and selecting controls to mitigate risk, and practical skills in implementing security, responding to incidents, and designing systems that prevent cyberattacks.

3
DSA490 Integrative Capstone (3)
Nine (9) credits of approved electives: choose from list below or get Program Director approval
BUS416 Computer Networking & Telecommunication 

This course introduces students to the foundational network technologies for data encoding and transmission. Topics may include telephone network and internet architecture, communication protocols (e.g., HTTP, SMTP), transport protocols (e.g., UDP, TCP), and network protocols (IP), TCP/IP, LANs, WANs, circuit vs. packet switching, network security, and multimedia.

3
BUS317 Systems Analysis and Design 

This course introduces information systems analysis and design for contemporary organizations, with a focus on developing critical skills in communicating with people as users, analyzing processes, translating needs into information systems requirements, and testing of prototype ideas. Topics also include functional, structural, and behavioral modeling, and Unified Modeling Language (UML).

3
COM261 Web Design I: Code + Aesthetics

This introductory course in web design and net art production addresses formal design, aesthetic, conceptual and theoretical methods for the creative production and dissemination of student projects via a global network. Technical focus is on authoring nonlinear documents using software and basic web programming languages. Students conceptualize projects around a variety of topics including: online social networks, memory and database theory, cultural interfaces, the screen and the body, and collective media. Cross-listed as FDT261. Prerequisite: ART/FDT141 or permission of the instructor. Additional Fee(s): Course Computing Fee.

3
BUS450 Advanced Database 

This course examines advanced topics of database management, including system architecture, complex database objects, building database applications, designing data warehouses, and creating database infrastructure to support Big Data analytics. Students gain hands-on experience through the implementation of database systems, including storage management, query processing, transaction management, and security management.

3
SUS404 Quantitative Ecology

Drawing from case studies in landscape design and natural resource management, this course will apply quantitative methods to ecological data analysis. Students will work with the software program R to apply statistical inference and mathematical modeling using previously collected data sets on single species, species interactions, communities, and food webs.

3
PHL250 Information Management and Analysis

Basic concepts of information representation, storage, and retrieval are considered as they pertain to science and public health, with emphasis on applications in the field and in commercial settings. Three hours of lecture per week. Prerequisite(s): PHL 225 or PHL 330.

3
PHL432 Introduction to Biostatistics

This course presents methods for analyzing categorical data in public health, epidemiology, and medicine. Topics include discrete distributions, log-linear models, and logistic regression. Emphasis is placed on the application of the methods and the interpretation of results by applying the techniques to a variety of data. Statistical software packages are used extensively. Three hours of lecture per week. Prerequisite(s): MTH 110 and PHL 250.

3

+Minor Requirements

18 credits

DSA100 Introduction to Data Science
DSA400 Data Visualization & Communication
CMP202 Introduction to Programming

An introduction to programming using C++ for students with no previous computer programming experience. Includes introduction to algorithms and object-oriented programming techniques. Prerequisite(s): CMP 140 or permission of the instructor

3
CMP283 Database Management Systems

This course is a study of database management systems and their applications to a wide range of information processing needs. Students design and implement database management systems while being introduced to a conceptual model of a database environment comprised of five basic components: databases, database management systems, data dictionary/directory systems, database administration, and user-system interfaces.

Prerequisite(s): CMP 202 or permission of the instructor.

3
MTH110 Elementary Statistics

Topics include statistical measures and distributions, decision making under uncertainty, application of probability to statistical inference, linear correlation, introduction to nonparametric statistical methods, and application to problems drawn from the natural and social sciences. Three hours of class per week. Three hours of class per week.

3
BUS171 Information Systems and Operations

This course explores basic concepts of communication networks (e.g., the Internet), hardware, software, databases, and systems. Students apply information systems to decision making, communication, collaboration and coordination in the operations of contemporary organizations. Students gain skills in word processing, presentation software, data visualization, spreadsheets, and relational databases.

3