PhD in Information Management Systems

Overview

An introduction to the normative principles for ethical decision making: which principles are applicable and weighing conflicting principles. Course includes in-depth explorations of contemporary ethical and public policy issues relating to information technology. PhD in MIS

The MIS PhD is a specialization within the existing IARSAC International University’s PhD in Business Administration program. Overall, the program will follow the structure of the PhD in Business Administration and consist of a set of five core courses on business models and methods, four specialized MIS courses, and three electives. The program requires approximately two years of course work and additional time for the dissertation. The average expected time to completion is 4 years.

Core Courses:

Specialized Courses:

Recommended Courses:

Seminar:

Thesis Courses:

COURSE DESCRIPTIONS:

IMS 815: Information Technology Management:

This doctoral course provides a basic understanding of the value and uses of information systems for business operations, management decision-making, and strategic advantage with a focus on e-Business. Thus, this course provides Learners with a synthesis regarding the ways in which they can utilize information systems as Information Technology Managers. The course concentrates on providing the tools needed for mastery of the information systems concepts and terms, which are important to end user managers. This course is designed for Learners who want an overview of information systems from a business perspective or who expect to be managerial end users of information systems. The course shows how to use computer data processing to manage money, marketing, manpower, materials, and manufacturing.

IMS 816: Database Administration and Management:

This course will encourage database administration and management personnel such as executives, strategic planners, network and information technology (IT) and system (IS) managers and scientists, data archivists, corporate librarians and information managers, systems integrators, and consultants to enhance their knowledge of the process of data collection, conversion, and migration. This course will present to Learners how data models align with the overall scope of business operations, which include hiring and forming strategic partnerships with knowledge workers.

IMS 811: Advanced Business Statistics Course:

Doctoral Learners in this advanced course will address statistical techniques that may be useful for analyzing quantitative data in a dissertation. Topics include Multivariate Statistics, Generalized Linear Regression Models, Linear Mixed Models, Linear and Non-Linear Regression, Logit Analyis, Probit Analysis, Ordinal Regression, Two-Stage Least Squares, Simultaneous Equation Analysis, Cluster Analysis, Discriminant Analysis and Factor Analysis. Learners will use SPSS to conduct statistical analysis. Assessment will be through a series of problems designed to demonstrate competence in techniques and a number of advanced data analysis projects.

IMS 817: Information Technology Decision Support:

This doctoral course provides a professional understanding of the value and uses of information systems for business collaborations and management decision-making. This course is designed for Learners who desire to understand collaboration, decision support systems, and executive information systems from a business perspective. This course provides with a synthesis regarding the ways in which the Learners can utilize decision support systems to improve corporate competitiveness within the global marketplace. The course concentrates on providing the tools needed for mastery of decision support systems concepts and terms, which are important for all senior executives and stakeholders.

IMS 801: Qualitative Methods Information Management Systems:

Communications network specialists, managers, and consultants, telecommunication managers, satellite tracking system designers, and technical support engineers who manage corporate network equipment, facilities, and land-lines will be able to understand the need to migrate from traditional communications networks to 21st century communication wireless, sensor, and broadband networks. This course will present the economic, social, and management issues involved in building digital production and distribution technologies and network architectures to deliver reliable, consistent, low cost services.

IMS 818: Enterprise Network Architecture:

This course provides a professional understanding of the value and uses of information systems architectures and processes aimed to improve the overall performances of an organization. This course is designed for Learners who want an overview of designing an enterprise architecture, computer networks, systems applications, and information systems processes. This course provides Learners with a synthesis regarding the ways in which technologists might develop an enterprise network architecture to improve application accessibility, data storage and management, communications, and business processes. The course concentrates on providing the tools needed for mastery of enterprise network architecture concepts and terms, which are important for all managers who communicate with technologists about business-related planning that aims to improve enterprise network systems.

IMS 813: Managing E-Commerce Management Information Systems:

This course provides broad coverage of information systems management concepts and trends underlying current and future developments, as well as principles for providing effective implementation of information technology. Also, in this course learners evaluate emerging theories and practices of e-Commerce strategies. Strategies are associated with both sides of the electronic commerce world: e-commerce solutions for existing companies and e-business concept development for venture startups. The course is heavily case and discussion-oriented. Learners are expected to be able to develop and define, as necessary, their position and reasoning on a variety of e-Commerce Information Systems current issues as the course progresses

IMS 812: Information Storage and Retrieval:

This course studies the theory, design and implementation of data management and information retrieval systems. The data management portion covers indexing, query processing, transaction management, and XML. The information retrieval component of the course includes important retrieval models (Boolean, vector space, probabilistic), relevance feedback, and web search engines.

IMS 825: Advanced Topics in Database and Information Retrieval:

This course delves into research and survey papers in database and information retrieval, with an emphasis on system and application issues. Topics to be covered include spatial database, data integrity and privacy, indexing, information retrieval models, relevance feedback, and multimedia information retrieval. The course is intended to prepare graduate students for research in data management and information retrieval.

IMS 826: Information Security:

This course studies the key facets of information security, from theory to applications in a networked environment. Topics to be covered include symmetric key cryptosystems, number-theoretical foundations, public key cryptosystems, authentication, key exchange, access control, Internet security architecture, and emerging security standards.

IMS 827: Decision Support and Optimization:

This course provides methodological foundations of intelligent decision support systems. It covers:Classical algorithmic paradigms - Divide/Conquer Greedy, Dynamic Programming;Graphs and Networks Models and Algorithms; Mathematical and Constraint Modeling;Local Search and Advanced Heuristics.Throughout the course, we will present a wide range of problems in supply chains, from strategic issues such as network design, to tactical issues such as procurement & sourcing, to operational issues such as real-time supply chain optimization. The course aims to equip students for decision support and optimization research, particularly in supply chain systems design and analysis.

IMS 830: Advanced Topics in Intelligent Decision Support:

This course explores recent advances in intelligent decision support methodologies. We will be studying survey and research papers from the following 3 topics:Optimized Decision Making (Meta-heuristics Search); Cooperative Decision Making (Distributed Problem Solving, Planning and Scheduling, Auctions); Non-Cooperative Decision Making (Game-theoretic Approaches, Agent Negotiation

IMS 834: Seminar in Engineering Software Systems:

This seminar studies the design and implementation of software systems. It covers three broad areas: designing for performance, designing for reliability, and designing for usability. Within the seminar, you will learn various concepts related to mobile and ubiquitous computing, distributed systems, reverse engineering software testing, software engineering, human perceptual capabilities, interface design approaches, and usability evaluation methods.

IMS 835: Seminar in Organizational Performance Improvement:

This seminar is designed to acquaint learners with the concepts of performance improvement and process re-engineering. Achieving high-level improvements in organizational performance through redesigned business processes and using information technology to re-engineer an organization are central to the course.

IMS 836: Seminar in Security Management and Risk Assessment:

This seminar covers management aspects of information security from a business perspective. The focus of this seminar is on identifying threats and assessing risks to an organization, and implementing safeguards on corporate networks and the Internet. Other topics include: Return on security investment, business continuity planning, development of security policies, and information security auditing.

IMS 847: Systems Analysis, Design, and Implementation:

This course examines the analysis, design, and development of computer-based information systems. The key characteristics of object-oriented methodologies are presented and compared with traditional methods. Students are introduced to the life-cycle concept and related activities including information requirements determination, prototyping, system design, development, testing, implementation strategies, and computer network concepts. Students identify potential dissertation research topics, problem statements, and research questions.

899: Thesis