Information Systems and Decision Sciences, Department of

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Department Chair

Do L. Minh

Department Office/Website

Steven G. Mihaylo Hall 4113
657-278-2221
business.fullerton.edu/isds

Faculty

Vahideh Abedi, Nimer Alrushiedat, Rahul Bhaskar, Daniel Cavagnaro, Tammy Drezner, Zvi Drezner, Zvi Goldstein, Ester Gonzalez, Prem Gupta, Yuhong He, Pawel Kalczynski, Bhushan Kapoor, Yingfei Kong, Malini Krishnamurthi, Mabel Kung, Peng Liu, Ting Luo, Laura Marcoulides, Do Le Minh, Sinjini Mitra, Gang Peng, Sorel Reisman, Panayiotis Skordi, Daniel Soper, Amr Soror, Laurent Tambayong, Ofir Turel, Samuel Yang, Dawit Zerom, Yi Jenny Zhang

Introduction

The Information Systems and Decision Sciences Department offers courses in Information Systems, Decision Sciences and Business Analytics. Information systems are computer-based systems that aid management in making decisions and assist in implementing and controlling management policies. They are used in business, industry and government operations. Applications include airline reservations, banking transactions, crime prevention networks, election returns, real estate assessment, tax records, newspaper databases, sports statistics and computer assisted learning.

Decision sciences is the application of the scientific method to decision-making in business and government using the techniques of operations research and statistics. Nearly all decision sciences problems involve solutions using computers. Operations research uses mathematical and simulation models to provide decision-makers with quantitative information pertaining to complex business situations. Statistics assists decision-makers by using techniques designed to draw inferences from experimental and sampling data.

Business analytics is a broad field consisting of a variety of business processes for data management and a wide range of analytical tools for performing data analysis to make better strategic and tactical business decisions. Business processes for data management include methods for planning, collecting, storing and structuring data into databases and data warehouses. Analytical tasks include querying, reporting, visualizing, generating online active reports and running advanced analytical techniques for classification, segmentation and prediction (e.g., data mining).

Degree Descriptions

The Master of Science in Information Systems (MSIS) degree program is designed to provide students with the technical skills and business acumen that are necessary for organizations to effectively manage and capitalize on their information assets. Broadly, the MSIS curriculum provides students with opportunities to develop knowledge and applied skills in the areas of information systems management, decision sciences and business analytics, all of which are highly valued by modern organizations. Students pursuing a concentration in business analytics will be well prepared to meet the growing demand for analytics professionals who can work with and extract valuable insights from Big Data. Collectively, graduates from the MSIS program are able to perform a wide variety of job functions, including managing and capitalizing on new and existing technologies, aligning organizational strategies with technological strategies and using quantitative methods, data analysis and data visualization in order to inform and improve organizational decision-making.

The Master of Science in Information Technology (MSIT) degree program is designed to appeal to professionals interested in furthering their knowledge in the areas of information technology management and data science. In addition to technical and theoretical knowledge, MSIT students develop the ability to communicate effectively in both synchronous and asynchronous online environments, thus ensuring that they are well-prepared for all modes of modern management practice. Collectively, graduates from the MSIT program are able to perform a wide variety of job functions, including managing and capitalizing on new and existing technologies, and aligning organizational strategies with technological strategies for the purpose of improving organizational decision-making.

Learning Goals and Student Learning Outcomes

• Bachelor of Arts in Business Administration
• Master of Business Administration
• Master of Science in Information Systems
• Master of Science in Information Technology

Programs and Courses Offered

Bachelor of Arts in Business Administration

• Business Administration, Accounting and Business Analytics Concentration, B.A. 
• Business Administration, Business Analytics Concentration, B.A.  
• Business Administration, Decision Sciences Concentration, B.A.  
• Business Administration, Information Systems Concentration, B.A.  
• Business Administration, Joint Emphasis in Accounting and Information Systems, B.A.  
• Business Administration, Marketing and Information Systems Concentration, B.A.  

Master of Business Adminstration

• Business Administration, Business Analytics Concentration, M.B.A.   
• Business Administration, Information Systems Concentration, M.B.A. 
• Business Administration, Marketing Analytics Concentration, M.B.A. 

Non-Degree

• Information Systems Minor  

Programs

• Information Systems, Business Analytics Concentration, M.S.
• Information Systems, Decision Sciences Concentration, M.S.
• Information Systems, IS Management Concentration, M.S.
• Information Systems, M.S.
• Information Technology, Data Science Concentration, M.S.
• Information Technology, IT Management Concentration, M.S.
• Information Technology, M.S.

Courses

Courses are designated as ISDS in the class schedule.

• ISDS 161A - Statistics and Probability SI Workshop (1)
• ISDS 161B - Business Decision Modeling SI Workshop (1)
• ISDS 309 - Introduction to Programming (3)
• ISDS 351 - Principles of Information Systems (3)
• ISDS 361A - Business Analytics I (3)
• ISDS 361B - Business Analytics II (3)
• ISDS 371 - C++ For Business Applications (3)
• ISDS 402 - Database Management Systems (3)
• ISDS 406 - Systems Analysis and Design (3)
• ISDS 409 - Business Telecommunications for Information System Design (3)
• ISDS 411 - Business Applications using Web Technologies (3)
• ISDS 415 - Principles of Business Intelligence (3)
• ISDS 418 - Privacy and Security (3)
• ISDS 435 - Integrated Enterprise Information Systems (3)
• ISDS 442 - Business Modeling Using Spreadsheets (3)
• ISDS 443 - Marketing Analytics: Decision Making in the Information Age (3)
• ISDS 444 - Social Media Marketing and Analytics (3)
• ISDS 454 - Senior Project: Information Systems Development (3)
• ISDS 462 - Applied Business Regression Analysis (3)
• ISDS 473 - Applied Business Forecasting (3)
• ISDS 474 - Data Mining for Managers (3)
• ISDS 485 - Wireless Business Networks for Information Systems (3)
• ISDS 495 - Internship (1-3)
• ISDS 499 - Independent Study (1-3)
• ISDS 505 - Programming Concepts for Information Technology (3)
• ISDS 513 - Statistical Analysis (3)
• ISDS 514 - Decision Models for Business and Economics (3)
• ISDS 516 - Supply Chain Analytics (3)
• ISDS 526 - Forecasting for Analytical Decision Making (3)
• ISDS 540 - Statistics for Data Science (3)
• ISDS 543 - Marketing Analytics for Managers (3)
• ISDS 550 - Telecommunications and Business Networks (3)
• ISDS 551 - Info Resources and IT Project Management (3)
• ISDS 552 - Systems Analysis, Design and Development (3)
• ISDS 553 - Electronic Commerce: Analysis and Evaluation (3)
• ISDS 555 - Business Databases: Design & Processing (3)
• ISDS 556 - Data Warehousing and Foundations of Business Intelligence (3)
• ISDS 557 - Issues in Business Information Technology (3)
• ISDS 558 - Advanced Software Development with Web Applications (3)
• ISDS 560 - Advanced Deterministic Models (3)
• ISDS 563 - Geographic Information Systems for Business (3)
• ISDS 570 - Business Data Transformation (3)
• ISDS 574 - Data Mining for Business Appl (3)
• ISDS 576 - Business Modeling and Simulation (3)
• ISDS 577 - Seminar in Information Systems Implementation (3)
• ISDS 599 - Independent Graduate Research (1-3)

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