Bachelor of Science in Business Administration-Computer Information Systems Subplan with Emphasis in Business Intelligence
The Business Intelligence Career Emphasis provided at Cal Poly Pomona aims to use a learn-by-doing approach to teach students how to apply cutting-edge technologies and problem-solving approaches to the course and real-world projects, specifically in the areas of data analysis, data transformation and preprocessing, and visualization. The curriculum introduces students to software and coding languages that are widely used in the industry and touches on certain data science topics such as artificial intelligence and machine learning.
CIS 2100 – Programming for Business Analytics w/ Python (3) Required
(Pre-requisites: CIS 1010 & STA 1200 or STA 1202)
CIS 2670 – IT Infrastructure (3) Required
Exploration of IT infrastructure and its role in supporting and empowering organizations. Topics include telecommunications, service delivery, service level management, security, privacy, identity management, ethics and contemporary methodologies for managing IT infrastructure.
(Pre-requisites: CIS 1010 & STA 1200)
Select 4 Courses
CIS 3350 – Location Analytics for Business (3)
Introduction to the theory and practice of analyzing qualitative data. Orients around using analysis to spur creativity and imaginative theorizing about consumer behavior. Examines the role of qualitative exploratory research in defining the research problem and in developing an approach.
(Pre-requisites: CIS 3250)
CIS 3454 – Data Warehousing (3)
Designing large databases using advanced data modeling concepts. Producing quality data models which follow corporate business plans, policies, and strategies of the enterprise. Extracting information from ERP systems to create data warehouses. Design info cubes. Use in-memory databases. Strategic use of data warehouses. Ethics and privacy challenges.
(Pre-requisites: CIS 3252)
CIS 3650 – Digital Analytics (3)
Web, mobile, and social analytics as the measurement, collection, analysis, and reporting of Internet data from the primary business and their competitors for purposes of understanding and optimizing digital design and usage. Topics include Web and mobile analytics tools like Google Analytics, social analytics, analytics-driven conversion optimization, and the preparation for professional certificate exams such as Google Analytics Individual Qualification test.
(Pre-requisites: CIS 1010 & CIS 3252)
CIS 4321 – Data Mining (3)
Data mining algorithms, machine learning to transform data into actionable knowledge. Business data mining projects.
(Pre-requisites: CIS 3252 & CIS 304 or 3090)
CIS 4567 – Big Data Analytics (3)
Concepts, techniques, and tools for big data analytics. Data analytics projects.
(Pre-requisites: CIS 4321)
CIS 4680 - Advanced Data Analytics (3)
Advanced algorithms, concepts, techniques, and skills in business analytics. Data analytics projects.
(Pre-requisites: CIS 4321)
CIS 3090 - Object-Oriented Programming for Business (3)
CIS 3252 - Business Intelligence (3)
(click here to learn more about each course)
ACC 2080 - Managerial Accounting for Decision Making (3)
BUS 3000 - Applied Business Communication (3)
BUS 3102 - Globalization of Business-Modules (3)
BUS 4950 - Strategic Management (3)
CIS 1010 - Introduction to Personal Computing (3) 1
CIS 3100 - Management Information Systems (3)
EC 2201 - Principles of Microeconomics (3) (D3)
EC 2202 - Principles of Macroeconomics (3) (D3)
FRL 2013 - The Legal Environment of Business and its Transactions (3)
FRL 3000 - Managerial Finance (3)
IBM 3012 - Principles of Marketing Management (3)
MAT 1250 - Introductory Calculus for Business (3) (B4)
MHR 3010 - Principles of Management (3)
MHR 3020 - Organizational Behavior (3) (D4)
STA 1200 - Statistics with Applications (3) (B4)
TOM 3010 - Operations Management (3)
TOM 3020 - Managerial Statistics (3)
(click here to learn more about each course)
