Applied Mathematics

Applied Mathematics 100% Online Masters Degree - Professional Science Master's Degree (PSM)

About Applied Mathematics

Combine coursework in mathematics with building leadership and management skills.

Graduate students can now pursue an innovative online master's degree in applied mathematics at California University of Pennsylvania. The Professional Science Master's (PSM) degree, launched in 2015, is designed for professionals in business, government or nonprofit organizations. Teachers seeking advanced math education and undergraduates going on for advanced study also choose the PSM.

This 30-credit program can be completed in as little as 13 months with full-time study. 

Gain specialized skills to advance in your career.

The PSM program is 100% online, offering busy students and working professionals valuable flexibility to do coursework at their convenience.

PSM students complete a hands-on capstone internship experience in a corporate, industrial or other professional setting. 

Cal U's PSM degree program received affiliation approval from the PSM National Office, which oversees 365 affiliated PSM programs nationwide.

PROGRAM HIGHLIGHTS: APPLIED MATHEMATICS

Big data
The PSM in applied mathematics focuses on "big data" and statistical data analysis. The program combines rigorous coursework with education in leadership, management or other skills essential to career advancement. Paired with our joint SAS Graduate Certificate in Data Science, you'll be prepared to work with big data and earn an industry-coveted SAS credential.

Job-ready
Cal U developed the PSM program in consultation with industry advisers to ensure that students will be fully prepared to meet employer needs. The final capstone project allows students to solve real data problems typical in this high-demand field.

Learn more about applying

353 
Affiliated PSM programs are offered by 165 institutions nationwide, reports the national PSM clearinghouse.
19 to 1 
Student-to-faculty ratio at Cal U.
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Degree Benefits

Students can expect to learn about handling data and information that keep industries moving smoothly, including data management, data mining, data handling and multivariate analysis skills. Core learning focuses on operations research, cryptography, project management and leadership skills. This degree can be paired with our joint SAS® Graduate Certificate in Data Science by adding only six additional credits. This certificate gives students employer-preferred SAS credentials and the preparation to become SAS-certified as a Big Data Professional.

 
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Graduate Outcomes

PSM graduates gain in-demand knowledge in data analysis and mathematics for a variety of STEM-related occupations throughout business, government and commercial sectors. The U.S. Bureau of Labor Statistics reports that mathematics-related jobs nationwide are projected to grow 16% by 2020.

 
Applied Mathematics - Professional Science Master's Degree
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About PSM

The PSM initiative began in 1997 when the Alfred P. Sloan Foundation supported selected research universities to develop programs that integrate science and mathematics with management, law or other professional areas. In 2006, the Council for Graduate Schools assumed primary responsibility from the Sloan Foundation for supporting and promoting PSMs nationwide.

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Capstone Advantages

Cal U's first group of PSM students secured such top capstone internship opportunities as: clinical trial research at Mylan; enrollment studies with St. Francis University in Pennsylvania; and statistician for the Washington Wild Things baseball team. 

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Big Data

 The term "big data" refers to data sets that are so large or complex that traditional data processing applications are inadequate to deal with them. Managing big data means new challenges for analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying, updating and information privacy.

Applied Mathematics, PSM - Courses

Responding to strong marketplace demand, the PSM in applied mathematics focuses on a range of essential topics from data mining to advanced nonparametric statistics.

Curriculum

 

Course Credits
PSA 611 Optimization and Operations Research I 3
PSA 671 Advanced Multivariate Statistics 3
PSM 645 Applied Cryptography 3
PSM 675 Project Management 3
PSM 760 Leadership and Professional Development 3
PSM 799 PSM Capstone Course 6
Electives 9
Total 30
Admission Requirements

Admission Requirements (Regular)  

  • Bachelor's degree with a GPA of 3.00 or higher in math, science, engineering, statistics or related discipline (Students with a GPA below 3.00 or a degree outside the areas listed may apply for conditional admission)
  • Official transcripts from an accredited undergraduate institution
  • Prerequisite courses (if applicable) passed with a C or better grade
  • International Global Online Applicants


Conditional Admission Requirements

  • Conditional Admission may be granted with the following modifications of the Regular Admissions Requirements.  Those admitted conditionally based on missing document/s or pre-requisite course/s, have up to a maximum of two semesters to satisfy these requirements:
    • GPA under 3.00 will be reviewed for a decision
    • Unofficial transcripts
    • Applicants without a degree in math, science, engineering, statistics or related discipline will be reviewed by the program coordinator for an admission decision
    • May be required to take Pre-requisite Course/s after a transcript review

How to Apply:

School of Graduate Studies and Research
California University of Pennsylvania
Box 91
250 University Ave. 
California, PA 15419

  • Submit unofficial transcripts and other documents by mail (using the address above), email (gradschool@calu.edu) or fax (724-938-5712)

For additional information:
Email: appliedmath@calu.edu
Phone: 1.866.595.6348


Benefits of an SAS Graduate Certificate

The Cal U Advantage for Data Science

PSM Applied Mathematics Faculty

Dr. Mohamed Benbourenane
Professor

benbourenane@calu.edu

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Dr. Gina Boff
Associate Professor

boff@calu.edu

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Dr. Kaddour Boukaabar
Professor

boukaabar@calu.edu

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Dr. Leandro Junes
Assistant Professor
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Dr. Melissa Sovak
Associate Professor

sovak@calu.edu

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