Dec 08, 2024  
2023-2024 Graduate Bulletin 
    
2023-2024 Graduate Bulletin [ARCHIVED CATALOG]

Computer Science and Quantitative Methods (P.S.M.)


Dr. Jiang Li 
Department of Computer Science and Information Technology
Professor
Program Coordinator: Computer Science and Quantitative Methods Data Management and Analysis Concentration
Location:  Maynard Mathematics and Computer Science Building, Room 211
Phone: 931-221-7828
Email: gradpsm@apsu.edu
Website: www.apsu.edu/csci


Dr. Joseph Elarde
Department of Computer Science and Information Technology
Associate Professor
Program Coordinator: Computer Science and Quantiative Methods Information Assurance and Security Concentration
Location:  Maynard Mathematics and Computer Science Building, Room 227
Phone: 931-221-7301
Email: elardej@apsu.edu
Website: www.apsu.edu/csci

 

Dr. Ramanjit Sahi
Department of Mathematics and Statistics
Professor
Program Coordinator: Computer Science and Quantiative Methods Mathematical Finance Concentration
Location:  Maynard Mathematics and Computer Science Building, Room 231
Phone: 931-221-7812
Email: sahir@apsu.edu
Website:  www.apsu.edu/mathematics

 

Dr. Matt Jones
Department of Mathematics and Statistics
Professor
Program Coordinator: Computer Science and Quantiative Methods Predictive Analytics Concentration
Location:  Maynard Mathematics and Computer Science Building, Room 236
Phone: 931-221-7814
Email: jonesmatt@apsu.edu
Website:  www.apsu.edu/mathematics

 

The Department of Computer Science and Information Technology and the Department of Mathematics and Statistics at Austin Peay offer both an online and on-campus Professional Science Masters ideal for professionals in a wide variety of science and math career fields.

The Professional Science Masters (P.S.M.) in Computer Science and Quantitative Methods bring together science and business skills to give students a greater competitive advantage in the workforce. Both degrees enable students to pursue advanced training while working fulltime. The concentrations listed below are ideal for anyone with a bachelor’s degree, working in industry or military, and/or having a desire to advance their career with a technical degree. These programs are designed to allow students to complete their degrees while continuing to hold employment.

The P.S.M. program offers four concentrations:

  1. Data Management and Analysis (online and on-campus)
  2. Predictive Analytics (online and on-campus)
  3. Information Assurance and Security (online and on-campus)
  4. Mathematical Finance (online and on-campus)

Intended as an alternative to research-focused doctoral programs, P.S.M. programs normally consist of study in a designated science or mathematics discipline but also contain a professional component that provides a fundamental education in professional fields such as communication, policy, business, law, or cybersecurity.

The programs are offered online, hybrid, and on-campus through the APSU Clarksville Campus and the Fort Campbell Campus allowing for students to gain admission for all terms.  The Data Management and Analysis and Predictive Analytics concentrations will soon offer classes on campus and online.

Listed below are the required application materials and the associated scores (if necessary) for each.

Admissions Requirements

  • Application for admission
  • Application Fee:  $45 domestic or $55 international
  • Bachelor’s degree, conferred in any field, from accredited institutions indicating a cumulative undergraduate GPA of at least 2.5
  • Official transcripts from all colleges attended
  • Verification of lawful presence in the United States (i.e. submit a license or other approved document)
  • GRE scores are not required (optional)
  • Resume listing three references
  • Personal Essay (the Personal Essay should be no longer than one page and should address the applicant’s career goals, why the applicant wishes to pursue the PSM at APSU, and the applicant’s quantitative/analytical background in terms of prior coursework, research, and/or employment)
  • Military documents (if applicable)
  • Admission decision by department

For more information about the application process, please visit apsu.edu/grad-studies.