School of Business

Hoboken, New Jersey, United States
Information Systems


Stevens Institute of Technology is a premier, private research university situated in Hoboken, N.J. overlooking the Manhattan skyline. Founded in 1870, technological innovation has been the hallmark and legacy of Stevens’ education and research programs for 145 years. Within the university’s three schools and one college, more than 6,800 undergraduate and graduate students collaborate with more than 380 faculty members in an interdisciplinary, student-centric, entrepreneurial environment to advance the frontiers of science and leverage technology to confront global challenges. Stevens is home to three national research centers of excellence, as well as joint research programs focused on critical industries such as healthcare, energy, finance, defense, maritime security, STEM education and coastal sustainability. 

The School of Business at Stevens Institute of Technology leverages its institutional strengths in analytics, finance, information systems and management to provide a forward-looking business education that prepares managers for the future through an emphasis on technology.

National attention to the outstanding quality of a Stevens education continues to grow. Stevens  is consistently ranked among the nation’s elite for return on investment for students, career services programs and mid-career salaries of alumni.


Master Programs

The Masters of Science in Business Intelligence and Analytics (BI&A) is a unique 36-credit STEM program designed for individuals who are interested in applying analytical techniques to derive insights and predictive intelligence from vast quantities of data. Graduates will have the skills to increase operational efficiency, improve financial performance and influence the strategic directions of organizations in the highly competitive world of "Big Data." The curriculum is a carefully articulated mix of courses on data, social networks, web analytics, statistics, optimization and risk management. The focus is on industry-specific applications in areas such as marketing, finance, pharmaceuticals, underwriting, manufacturing, information technology, telecommunications, energy and engineering. A unique program architecture aims to produce well-rounded graduates with strong professional, disciplinary and technical skills.

The Stevens MSIS program is a 36-credit graduate degree with special emphasis on understanding and using Big Data to drive sales, influencing customers through social media, managing IT projects, and streamlining organizational processes. The program consists of 3 core business courses, 6 core Information Systems courses, and 3 concentration courses in areas such as Business Intelligence & Analytics, Business Process Management, Project Management or Social Media. IT leaders and managers in the MSIS program will develop the technical, business, management, industry and interpersonal skills needed to to lead organizational IT efforts, and respond to the challenges and opportunities therein. MSIS graduates know how to assess the Information Systems needs of an organization, can plan to meet emerging technology trends, and effectively lead from the intersection of business and technology.


Master of Science in Information Systems

The growing use of websites, such as Facebook and Twitter, allows everyone to generate and share content. These social media tools have become integral to our everyday lives. Students will learn various techniques for analyzing user behavior in social media websites by applying prominent theories that influence human behavior in these environments. They will examine these websites and evaluate their positive and negative impacts on society. The skills and knowledge that students acquire in this course will allow them to make recommendations for leveraging websites and other products/services that involve social media technologies.
In this course, students will learn through hands-on experience how to extract data from the web and analyze web-scale data using distributed computing. Students will learn different analysis methods that are widely used across the range of internet companies, from start-ups to online giants like Amazon or Google. At the end of the course, students will apply these methods to answer a real scientific question or to create a useful web application.
This course deals with the basic problems of managing a project, defined as a temporary organization built for the purpose of achieving a specific objective. Both operational and conceptual issues will be considered. Operational issues include definition, planning, implementation, control, and evaluation of the project. Conceptual issues include project management vs. hierarchical management, matrix organization, project authority, motivation, and morale. Cases will be used to illustrate problems in project management and how to resolve them.
Corporate financial management requires the ability to understand the past performance of the firm in accounting terms; while also being able to project the future economic consequences of the firm in financial terms. This course provides the requisite survey of accounting and finance methods and principles to allow technical executives to make effective decisions that maximize shareholder value.
This course exposes students to the macro and micro aspects of organizational behavior and theory that are essential to technology management. The macro aspects will focus on structural contingency theory as an approach to effective organizational design. The micro aspects will focus on leadership, teams, and individual behavior (e.g., motivation, job attitudes). Specific issues and problems which are covered include: the relationship of the organization with the external environment, the influence of the organization's strategies, culture, size, and production technology on the organization's design, and strategies for managing organizational processes such as teams, conflict, power/politics and organizational change. Current topics, that are key to technology management (e.g., virtual teams), will be stressed.
This course presents and analyzes various approaches to information analysis and development of organizational information systems within a system development life-cycle (SDLC), e.g. the waterfall, concentric, and prototyping approaches. Topics include strategic planning for SDLC, front-end and back-end phases of SDLC, project management, CASE methodologies, and balancing user, organizational, and technical considerations.
This course deals with strategic uses of data, data structures, file organizations and hardware as determinants of planning for and implementing a enterprise-wide data management scheme. Major course topics include data as valuable enterprise resource, inherent characteristics of data, modeling the data requirements of an enterprise, data repositories and system development life cycles.
This course will focus on the design and management of organizations that generate and apply knowledge. A central theme of this course is the design of knowledge work. We concentrate on both micro- and macro-design and their interrelationships: individual, team, task, process, and organization levels. This courses comprises what is generally termed knowledge management and by extension the learning organization.
This course focuses on the design and management of data warehouse (DW) and business intelligence (BI) systems. The course is organized around the following general themes: Knowledge Discovery in Databases, Planning and Business Requirements, Architecture, Data Design, Implementation, Business Intelligence, Deployment, Maintenance and Growth, and Emerging Issues. Practical examples and case studies are presented throughout the course.
This course will focus on Data Mining & Knowledge Discovery Algorithms and their applications in solving real world business and operation problems. We concentrate on demonstrating how discovering the hidden knowledge in corporate databases will help managers to make near-real time intelligent business and operation decisions. The course will begin with an introduction to Data Mining and Knowledge Discovery in Databases. Methodological and practical aspects of knowledge discovery algorithms including: Data Preprocessing, k-Nearest Neighborhood algorithm, Machine Learning and Decision Trees, Artificial Neural Networks, Clustering, and Algorithm Evaluation Techniques will be covered. Practical examples and case studies will be present throughout the course.
This course serves as the foundation course for studying strategic supply chain management within the Howe School. The course explores the major elements of the supply chain, and exposes students to leading edge thinking on supply chain strategy as well as practical tools and methods for its implementation. Topics covered include: Supply Chain Management Principles and the Customer; Supply Chain Networks and Organizations; Product Lifecycle Implications to Supply Chains; Forecasting and Inventory Management; Supply Chain Processes; Supply Chain Information Systems; Supply Chain Performance and Metrics; Lean Supply Chains; Risk Management; and Legal and Ethical Issues.
IT organizations must be able to leverage new technologies. This course focuses on how organizations can effectively and efficiently assess trends and emerging technologies in data and knowledge management, information networks, and analyzing and developing application systems. Students will learn how to help their organizations define, select, and adopt new information technologies.
The course addresses the techniques and concepts required to map, implement, automate, and evaluate business processes. Focusing on the technical and implementation aspects of Business Process Management, the course leads students from technical process design through the implementation and management of workflows to the structure of process-aware information systems. It discusses the distinction between business processes and business rules and outlines how they can be supported by technology. It details the technical structure of process-aware applications and provides an overview of technology standards that affect BPM systems. Modules on the run-time monitoring of processes and post-execution evaluation techniques complete this course.
This course leads students through the identification, analysis, definition, and deployment of service opportunities within public and private organizations. Each of these phases is analyzed in detail to encompass the principal activities, methods, tools and techniques applied in the respective phase. Students will learn how to identify appropriate supporting techniques and information technologies for the different phases of the service life cycle, assess the role of technology, and gauge the organizational impact of service-focused operations. The objective of the course is to enable students to identify, implement and evaluate innovative service offerings in their organization.
This course focuses on the issues surrounding the design of an overall Information Technology architecture. The traditional approach in organizations is to segment the problem into four areas - network, hardware, data, and applications. Instead, this course concentrates on the interdependencies among these architectures. In addition, this course will utilize management research on organizational integration and coordination. The student will learn how to design in the large, make appropriate choices about architecture in relationship to overall organization goals, understand the different mechanisms for coordination available, and create a process for establishing and maintaining an ongoing enterprise architecture.
The objective of this course is to address the important question, "How does one improve the alignment of business and Information Technology strategies?" The course is designed for advanced graduate students. It provides the student with the most current approaches to deriving business and Information Technology strategies, while ensuring harmony among the organizations. Topics include business strategy, business infrastructure, IT strategy, strategic alignment, methods/metrics for building strategies, and achieving alignment.


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