Master of Science in Applied Security and Analytics

Dean of the College of Sciences: Frye
Program Director: Geise
Professor: Geise
Associate Professor: Schneider
Assistant Professors: Gunnett, Langhals, Ringenberg, Samimi

Mission and Goals of the Program

The goals of the program are to prepare computer science professionals to work as specialists in the areas of secure software development and big data analytics as both technical and managerial leaders in industry and government.

Students in the program will be instructed in information assurance and cyber security, software engineering, database management and analytics, as well as project management and technical management. In addition, students will learn other valuable skills, drawing on The University of Findlay’s offerings in business, management and leadership.

Program Learning Objectives

Students who complete the program will:

  • Manifest PSM goals of blending technical skills with business and managerial expertise (Bloom I – VI).
  • Create and complete a capstone project that incorporates elements of management, leadership and one or more of the following technical areas: security, analytics and/or data management. The project will be judged as successful by a team of two faculty, and a possible external client, on the basis of a written report and verbal presentation. (Bloom I – VI).
  • Expand their understanding of general computer science principles to incorporate the specialized knowledge of the program (Bloom I, II). The students’ success will be measured by their performance in the technical courses in the curriculum.
  • Integrate their understanding of general computer science concepts into situations and principles of technical management, ethical decision-making and leadership (Bloom I – V). The students’ success will be measured by their performance in the business and leadership courses in the curriculum.
  • Encounter real-world problems, involving technical decisions and successfully apply their understanding of both technical and business principles to create novel solutions (Bloom I – VI). Student success will be judged by their performances throughout the program.
  • Practice team-based learning and team-building.

Admission Requirements

Admission to the Master of Science in Applied Security and Analytics (MSASA) degree requires the following:

  1. An earned bachelor’s degree (BA, BS) from an accredited university in computer science or a related discipline
  2. A minimum GPA of 3.0 or permission of the program director
  3. Course background – Final evaluation of transcripts at discretion of program director and faculty (Note bridge courses or undergraduate offerings will be available to those who do not have this background):
    1. Programming – a solid background which includes instruction in data structures
    2. Mathematics – college credit for mathematics at least at the level of college algebra
    3. Databases – fundamental database knowledge and experience in using databases
    4. Computer networking
    5. Computer systems
    6. Software engineering

Degree Requirements

The Master of Science in Applied Security and Analytics requires the completion of both technical and professional components for a total of 33 semester hours. All courses must be completed with a "C" or higher and no more than one course with a grade of "C+" or "C" can be used to meet graduation requirements.

A Master of Science in Applied Security and Analytics consists of a professional component:

ENVM 515Accounting and Financial Analysis for Technical Managers

3

ENVM 625Project Management and Planning

3

MBA 665Management of Information and Technology

3

A Master of Science in Applied Security and Analytics consists of a technical component:

CSCI 510Applied Security Principles

3

CSCI 523Statistical Methods for Business Analytics

3

CSCI 560Secure Coding

3

CSCI 580Advanced Software Engineering

3

CSCI 590Data Mining for Decision Making

3

CSCI 613Risk Management for Information Systems

3

CSCI 690Data Visualization and Predictive Analytics

3

CSCI 698Capstone Project

3