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 Professional Science Master's (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:
    1. Fundamental Programming Skills – coursework in programming languages such as Java or C++. Students without this background can complete either:
      1. CSCI 192 - Java Programming with a grade of "B" or higher
      2. CSCI 192 - Java Programming and CSCI 240 - Software Design I with grades of "C" or higher
    2. Advanced Programming - a solid background which includes instruction in data structures. Students without this background can complete either:
      1. CSCI 501 - Concepts in Computer Programming with a grade of "B" or higher
      2. CSCI 241 - Software Design II and CSCI 360 - Data Structures with grades of "C" or higher
    3. Database – a course in database management systems, preferably with SQL experience. Students without this background can complete either:
      1. CSCI 503 - Database Concepts with a grade of "B" or higher
      2. CSCI 490 - Database Management Systems with a grade of "C" or higher
    4. Computer Networking - coursework in networking. Students without this background can complete either:
      1. CSCI 502 - Computer Networking Concepts with a grade of "B" or higher
      2. CSCI 345 - Data Communications and CSCI 445 - Computer Networking with grades of "C" or higher
    5. Mathematics - college credit for mathematics at least at the level of college algebra. Students without this background will be recommended to complete a course at this level.
    6. Students are encouraged to have additional coursework in Computer Organization/Operating Systems and Software Engineering
    7. Work experience and/or an internship in the computer science field is preferred.

Students whose native language is not English and who have not graduated from an English speaking university from the United States, United Kingdom, Canada, Ireland, New Zealand or Australia must meet the previously listed admissions conditions plus submit:

  1. Official scores showing they have achieved a verified TOEFL Internet-based test (iBT) minimum total score of 79, a verified international English Language Testing System (IELTS) academic score of 7.0, or minimum Pearson Test of English (academic) score of 61. Full admission is dependent on satisfying all admission requirements. Students may receive conditional admission, if not supplying a TOEFL, IELTS or Pearson score at the acceptable level. These students are required to test in the Intensive English Language Program, and if necessary, complete coursework in English.
  2. An affidavit of financial support (original), if not an American citizen or permanent resident.

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 697Capstone Project Development

1

CSCI 698Capstone Project

2