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Information Systems Degree Program

Management Information Systems Degree - MIS Degree Program Online Program OverviewProgram DetailsWhy Choose Franklin
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Information Systems - Subsequent Bachelor of Science Degree

Subsequent degrees are for students who have completed a bachelor’s degree or higher from a regionally accredited college or university.

Prerequisite Competencies

  • COMP 106 - INTRODUCTION TO SPREADSHEETS (1)

    COMP 106

    INTRODUCTION TO SPREADSHEETS

    Course Description

    This course focuses on using spreadsheets to solve business applications.
  • COMP 108 - INTRODUCTION TO DATABASES (1)

    COMP 108

    INTRODUCTION TO DATABASES

    Course Description

    This course focuses on using databases to solve business applications.
  • MATH 280 - Introduction to Probability & STATISTICS (4)

    MATH 280

    Introduction to Probability & STATISTICS

    Course Description

    This course is designed to serve students in the Computer and Information Sciences majors. The topics covered are descriptive statistics in numerical & graphical methods, probability concepts, discrete and continuous probability distributions, estimation theory, hypothesis testing, simple linear regression and correlation, and linear programming. These topics will be taught with a rigorous Algebra content and using a statistical software such as Minitab.
  • PF 321 - LEARNING STRATEGIES (2)

    PF 321

    LEARNING STRATEGIES

    Course Description

    This course prepares students to be successful lifelong learners both academically and in their chosen careers. Franklin courses require a high level of self-directed learning and focus on skills required in the workplace and the classroom that are easily transferable between the two environments. The course includes strategies for advancing communication skills, including the use of electronic tools to participate in virtual environments. The assignments and activities in the course are created to closely simulate teamwork found in the workplace.
  • WRIT 220 - RESEARCH WRITING: EXPLORING PROFESSIONAL IDENTITIES (4)

    WRIT 220

    RESEARCH WRITING: EXPLORING PROFESSIONAL IDENTITIES

    Course Description

    This is an intermediate course focusing on the composition of research papers. Students in this course prepare to be active participants in professional discourse communities by examining and practicing the writing conventions associated with their own fields of study and work. By calling attention to the conventions of disciplinary writing, the course also prepares students for upper-division college writing and the special conventions of advanced academic discourse. Course activities include three extended research papers, semi-formal writing addressing interdisciplinary communication, and readings fostering critical engagement with disciplinary conversations.

Professional Core (24 hours)

Information systems disciplines acceptable for fulfillment of this area or transfer include*:

  • Accounting
  • Computer Science
  • Human Resources
  • Information Technology
  • Management
  • Marketing
  • Web Development

*A maximum of 8 credit hours may be at the 100 level. Other information systems disciplines not listed above may be accepted for transfer. Inquiries should be directed to the Information Systems program chair.

Major Area (24 hours)

  • COMP 281 - DATABASE MANAGEMENT SYSTEMS (4)

    COMP 281

    DATABASE MANAGEMENT SYSTEMS

    Course Description

    This course covers fundamental concepts necessary for the design, use, implementation and administration of database systems. The course will stress the fundamentals of database modeling and design, the languages and facilities provided by database management systems, and some techniques for implementing and administering database systems. Please note: A book fee will be included in your tuition charges for required course materials. Please see http://www.franklin.edu/financial-aid/tuition-fees /e-textbooks for specific charges.
  • INFA 300 - INTRODUCTION TO ANALYTICS (4)

    INFA 300

    INTRODUCTION TO ANALYTICS

    Course Description

    This course leads students through the foundational concepts, methods and concerns related to the practice of information / data analysis from the posing of questions needing answers to gathering the data, generating statistics, analyzing the results, formulating answers to the questions, and reporting those answers. Course topics include defining clear, accurate and actionable research questions and the answers, selecting data and methods; generating relevant statistics and reporting the story the data tells regarding the questions and the sought-after answers using basic tools such as those intrinsic to spreadsheet software such as Microsoft Excel.
  • ITEC 430 - INFORMATION TECHNOLOGY PROJECT MANAGEMENT (4)

    ITEC 430

    INFORMATION TECHNOLOGY PROJECT MANAGEMENT

    Course Description

    This course provides an introduction to the concepts of information technology project management and techniques for initiating, planning, executing, monitoring and controlling of resources to accomplish specific project goals. Both technical and behavioral aspects of project management are discussed. While the focus is on information technology projects, the principles follow the nine project management knowledge areas outlined in the Project Management Institute's PMBOK® Guide Third Edition and thus are applicable to the management of any project. Topics will include integration, scope, time, cost, quality, human resource, communications, risk, and procurement management. Project management software utilization is emphasized. Please note: A book fee will be included in your tuition charges for required course materials. Please see http://www.franklin.edu/financial-aid/tuition-fees /e-textbooks for specific charges.
  • MIS 310 - INFORMATION SYSTEMS ARCHITECTURE & TECHNOLOGY (4)

    MIS 310

    INFORMATION SYSTEMS ARCHITECTURE & TECHNOLOGY

    Course Description

    This course provides a conceptual survey of general systems theory followed by a conceptual and technological survey of the structure of distributed information systems architectures, operating systems, network operating systems, peripheral technology and user interfaces. Interoperability between these architectural components will be explored and current technology and trends in each architectural element will be reviewed. This course will de-emphasize, although not ignore, mainframe architectures in favor of information architectures more applicable to client/server computing. The various interacting categories of client/server computing as well as the benefits and implications of such a system will be fully explored.
  • MIS 400 - SYSTEM ANALYSIS & DESIGN (4)

    MIS 400

    SYSTEM ANALYSIS & DESIGN

    Course Description

    This course is designed to provide an understanding of the Systems Development Life Cycle (SDLC), tools and methods. The course is centered on evaluating existing business processes and choosing a system development methodology to improve upon it. Emphasis will be on analyzing, modeling and designing processes that improve business processes through the deployment of information technology. It will also emphasize the factors for effective communication and integration with users and user systems. It encourages interpersonal skill development with clients, end-users, team members and others associated with development, operation and maintenance of systems.
  • MIS 495 - INFORMATION SYSTEMS CAPSTONE (4)

    MIS 495

    INFORMATION SYSTEMS CAPSTONE

    Course Description

    This course provides a capstone experience that integrates the material contained in the General Education, Technical Area, Major Area Core and the Major Area elective courses of the Information Systems major. First, students review the major areas of the program including topics from the appropriate Major Area electives. Second, students manage and /or participate in an Information Systems project appropriate to their selected Major Area electives. Third, students take a standardized exam that includes topics from all Major Area Core courses and their declared Major Area electives.

Major Electives (8 hours)

Select 8 hours of any courses from within or across the suggested pathways listed below. Any prerequisites for major area elective courses must be honored.

Analytics
  • INFA 350 - DATA MANIPULATION & VISUALIZATION (4)

    INFA 350

    DATA MANIPULATION & VISUALIZATION

    Course Description

    This course introduces students to the discipline of data manipulation and visualization in the context of information analysis as science, an art and a practice. This course explores these topics: the theoretical foundations of the discipline, common artistic design approaches, proven practical methods in relation to the analysis, understanding and depiction of the results of mathematical analysis of information, the relationship of visualization and data manipulation methods to fields of study, cultures of practice and the archiving of analytical work for future use.
  • INFA 420 - INFORMATION MODELING (4)

    INFA 420

    INFORMATION MODELING

    Course Description

    This course leads students through an exploratory tour of the primary information models used in providing executive and management decision support for an organization. Typical functional areas of organizations are included, such as marketing, finance, and operations regarding management and executive decision making necessary for the successful current and future operation of typical organizations. Concurrent to studying a variety of applicable information models, students learn to apply the specific software technologies based on these models, such as expert systems, neural networks, graphical/visual interfaces, learning systems, data mining techniques, and decision analysis methodologies.
Project Management
  • ISPM 320 - REQUIREMENTS ANALYSIS & TESTING (4)

    ISPM 320

    REQUIREMENTS ANALYSIS & TESTING

    Course Description

    This course introduces students to the concepts, methods and approaches involved in the process of requirements analysis and testing, in the context of the necessary procedures that comprise the process of confirming requirements for a new or upgraded information system: requirements elicitation analysis, specification, verification and management.
  • ISPM 450 - ADVANCED PROJECT MANAGEMENT (4)

    ISPM 450

    ADVANCED PROJECT MANAGEMENT

    Course Description

    This course focuses on knowledge, understanding and skills related to building competencies in overseeing the architecture, design, and implementation of software systems. Specific topics include agile software development practices, planning and governance of large projects, identification, assessment and management of current and emerging information technologies, and the application of project management tools for software architecture, project communications, risk analysis, cost estimation and budgeting, and quality control in managing the software development life cycle.
Systems Analysis
  • INFA 415 - INFORMATION ANALYTICS ARCHITECTURE (4)

    INFA 415

    INFORMATION ANALYTICS ARCHITECTURE

    Course Description

    Upon successful completion of this course, students will be able to design and implement data gathering processes and information analytics architectures within data warehousing environments appropriate for supporting data mining and information analytics modeling applicable to the solving of typical operational, supply and demand problems encountered by organizations. Learning will be supported by relevant texts, lectures, research papers, collaboration sessions and projects, both individual and team-based. The database, data warehouse, and computational tools used in this course are Oracle Corporation products.
  • MIS 330 - SYSTEMS INTEGRATION CONCEPTS & PRACTICES (4)

    MIS 330

    SYSTEMS INTEGRATION CONCEPTS & PRACTICES

    Course Description

    Systems integration permeates the information management landscape, operating conceptually on three levels: the strategy of achieving enterprise-level information systems (IS) integration, the process at the IS department-level to achieve integration and the selection of technologies needed to achieve integration. This course examines these levels of systems integration, emphasizing realistic solutions, guidelines, and practices, through a hands-on approach.

Additional Requirements

Each candidate for a subsequent degree must successfully complete in residence at Franklin University a minimum of 30 credit hours of 200 level courses or above, of which a minimum of 16 credit hours must be in major area courses at the 300 or 400 level. If the student is a previous Franklin bachelor of science degree graduate, the 30 credits must be earned after the first Franklin B.S. degree was awarded. If the required courses for a subsequent degree total less than 30 credit hours, the student may take Free Elective courses to achieve residency. Either PF 121 or PF 321 must be taken prior to the first BLF course, or it may be taken concurrently with the first 15-week BLF course. Students also must meet the University algebra competency requirement

A minimum GPA of 2.25 is required in the major area, and each major area course must be completed with a grade of “C” or better to count toward degree requirements.

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Please see the Academic Bulletin for the complete list of degree and residency requirements.

Additional Curriculum

Information Systems - Bachelor of Science Degree

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