Prepare for a leadership role in technology with a Master of Science in Applied Security and Analytics from The University of Findlay.
The University of Findlay's Master of Science in Applied Security and Analytics focuses on advanced coursework in leadership and technology, specifically big data and cybersecurity, and can be completed within two years.
How will a Master of Science in Applied Security and Analytics enhance your career?
This degree is designed to enhance your current IT knowledge within the areas of security and big data analytics as well as expand your business skills in accounting, finance, project management and the overall management and leadership of information and technology.
Meet the 21st-century demand! Become a technology leader fluent in big data and cybersecurity
Businesses across all industry sectors are seeking computer science professionals who are able to work as specialists in the areas of secure software development and big data analytics as both technical and managerial leaders.
Why choose UF for your Master of Science in Applied Security and Analytics?
- UF is the only institution in Ohio offering this unique master's degree.
- Diverse course offerings in data analytics, security, business, advanced software engineering.
- Designed to be completed within two-years.
- UF stays up-to-date on current industry trends through an advisory board of local industry leaders.
- Convenient course offerings - online and evening options.
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
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 members, 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 to the Master of Science in Applied Security and Analytics (MSASA) degree requires the following:
- An earned bachelor’s degree (BA, BS) from an accredited university in computer science or a related discipline.
- A minimum GPA of 3.0 or permission of the program director.
- 3 letters of recommendation.
- Resume (prefer at least one year of professional work experience).
- Course background – Final evaluation of transcripts at the discretion of program director and faculty (Note bridge courses or undergraduate offerings will be available to those who do not have this background):
- Programming – a solid background which includes instruction in data structures.
- Mathematics – college credit for mathematics at least at the level of college algebra.
- Databases – fundamental database knowledge and experience in using databases.
- Computer networking.
- Computer systems.
- Software engineering.