Academics

Isenberg’s Master of Science in Business Analytics program offers on-campus and online study options to fit your life, all with the same industry-leading expert instructors and 10-course, 31-credit core curriculum.

Course Descriptions:

All courses are 3 credits except where noted. No pre-requisites are necessary. 

Data Management for Business Leaders (SCH-MGMT 601, formerly SCH-MGMT 710) - This course teaches students how to maximize spreadsheets as a data management tool using advanced functions and formulas. Students will learn how to efficiently manipulate, format, and automate data, and use spreadsheets to build customized reports, dashboards, amazing charts, pivot tables and macros. This course is applicable to all business disciplines. Prerequisites: basic spreadsheet knowledge.

Business Intelligence (SCH-MGMT 602) - This course provides an introduction to Business Intelligence, including the processes, methodologies, infrastructure, and current practices used to transform business data into useful information and support business decision-making.  Business Intelligence requires foundation knowledge in data storage and retrieval, thus this course will review logical data models for both database management systems and data warehouses. Students will learn to extract and manipulate data from these systems and assess security-related issues. Data mining, visualization, and statistical analysis along with reporting options such as management dashboards and balanced scorecards will be covered.

Business Application Development (SCH-MGMT 609, formerly SCH-MGMT 697P) - This course provides an introduction to programming with a focus on business and analytics applications. The curriculum supports the development of skills in data extraction and manipulation as well as automating data analysis tasks. Students will become adept in the use of important libraries and will be able to use trusted open-source resources to support continued development of programming skills. No prior programming experience expected.

Financial and Managerial Accounting (SCH-MGMT 633) - An overview of the concepts and language of financial and managerial accounting that covers how accounting information can be used as an effective tool for communication, monitoring, and resource allocation. Topics include the principles and methodologies underlying financial statements and the inherent limitations of that information. Additional topics include behavior, cost analysis, and tools used to motivate and coordinate business activities.

Corporate Finance (SCH-MGMT 640) - The purpose of this course is to introduce students to the area of corporate finance and investments. Students will learn about the basic concerns and responsibilities of financial managers, and gain an appreciation of the methods of analysis employed by them. Students will learn both theory and practice of corporate finance and investments.

Business Statistics (SCH-MGMT 650) - This course provides an overview of statistical analysis and inference. The language and methods of statistics are used throughout the MBA curriculum, both in the classroom and in assigned readings. In addition, the language and methods of statistical analysis have permeated much of academic and professional writing as well as media reporting, both inside and beyond the business community. The goal is to present a broad introduction to statistical thinking, concepts, methods, and vocabulary. The course has an emphasis on business applications.

Advanced Data Analytics (SCH-MGMT 655, formerly SCH-MGMT 697AS) - This course provides an introduction to topics in managerial data mining, and related data retrieval and manipulation content. Models in regression, clustering, neural nets, classification, and association rule mining are applied to business data sets. In this managerially-focused course, students will learn how to use such models and interpret output. Students will also be introduced to a programming language for extraction and manipulation of data. Experiential exercises will be assigned using leading industry applications.

Project Management (SCH-MGMT 656, formerly SCH-MGMT 797Q) - This graduate course provides comprehensive coverage of project management, focusing on the methods and competencies needed to effectively manage projects. Upon successful completion of this course, students will be able to understand different project management techniques, terminology and trends; define project success measures and methods; improve quality, cost and efficiency with the project management process; and gain basic competency using project management software.

Marketing Strategy (SCH-MGMT 660) - This course provides an executive viewpoint of marketing concepts, such as branding and segmentation, for strategic and organizational decision-making. There is an emphasis on tools available for analysis and control of marketing activities, including the use of new media. Topics also include industrial life cycles, customer experience, and pricing strategy.

Leadership and Organizational Behavior (SCH-MGMT 680) - Provides an overview of different perspectives and approaches to leadership practice and related organizational behavior topics. Relying on a participative multi-learning approach, the course goes beyond traditional leadership practices to examine empowering leadership approaches for addressing contemporary organizational behavior challenges such as leading teams. The overall objective is to increase students' understanding of and ability to apply contemporary leadership and organizational behavior knowledge in work situations.