Information Systems and Decision Sciences, Department of

Introduction
Degree Descriptions

Learning Goals and Student Learning Outcomes
Programs and Courses Offered

Department Chair

Rahul Bhaskar

Department Office/Website

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

Faculty

Vahideh Abedi, Nimer Alrushiedat, Rahul Bhaskar, Daniel Cavagnaro, Zvi Drezner, Zvi Goldstein, Ester Gonzalez, Prem Gupta, Yuhong He, Pawel Kalczynski, Bhushan Kapoor, Yingfei Kong, Malini Krishnamurthi, Mabel Kung, Daoji Li, Peng Liu, Ting Luo, Laura Marcoulides, Do Le Minh, Sinjini Mitra, Thuyuyen Newby, Gang Peng, Sorel Reisman, Panayiotis Skordi, Daniel Soper, Amr Soror, 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

Programs and Courses Offered

Bachelor of Arts in Business Administration

Master of Business Adminstration

Non-Degree

Information Systems Minor

Programs

Master of Science

Non-Degree

Business Data Analytics Minor

Courses

Information Systems and Decision Sciences

Courses are designated as ISDS in the class schedule.