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Information Systems Degree - Information Systems

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 210 - FINITE MATHEMATICS (4)

    MATH 210

    FINITE MATHEMATICS

    Course Description

    This course includes such topics as matrices, solutions of simultaneous linear equations using matrix methods, graphic and simplex solutions to linear programming problems, set theory, counting problems (including permutations and combinations), probability theory (including Bayes' theorem), Markov chains, and the mathematics of finance. Game theory may be discussed if time permits. Applications in business, economics, and management are emphasized.
  • MATH 215 - STATISTICAL CONCEPTS (4)

    MATH 215

    STATISTICAL CONCEPTS

    Course Description

    This course introduces the student to statistics with business applications. The course covers both descriptive and inferential statistics. Topics included are: measures of central tendency; measures of dispersion; graphical displays of data; linear regression; basic probability concepts; binomial and normal probability distributions; confidence intervals; and hypothesis testing. These topics will be covered using a basic knowledge of algebra and Microsoft Excel.
  • 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 120 - COLLEGE WRITING (4)

    WRIT 120

    COLLEGE WRITING

    Course Description

    In this course, students acquire the writing competence necessary for conducting and presenting research. A variety of assignments, beginning with personal reflections, build upon one another, as students develop ideas that respond to, critique, and synthesize the positions of others. Students systematize and organize knowledge in ways that will help them in all of their courses. The course also emphasizes the elements of good writing style, appropriate grammar and mechanics, clarity of language, and logical and cohesive development. It culminates in submission of a documented research paper.

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 (28 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.
  • 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 of $45.70 will be included in your tuition charges for required course materials.
  • 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 320 - TECHNICAL COMMUNICATION (4)

    MIS 320

    TECHNICAL COMMUNICATION

    Course Description

    This course will prepare students for the bi-directional technical communication demands specific to computer and information systems. Topics include technical research methods and approaches, critical analysis of technical documents, synthesis of data, information and knowledge gained through research and critical analysis, creation of accurate technical documents, and effective delivery of technical material via oral presentations supported by visual media.
  • 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.

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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