Master of Professional Studies in Data Analytics

Penn State University


Issuing School Penn State World Campus
Description from the School

Learn to design, implement, and apply data management techniques with Penn State's 30-credit online Master of Professional Studies in Data Analytics degree. This fully online program helps professionals acquire the technical expertise and analytical skills to help them uncover and leverage large data sets to efficiently make informed decisions that may increase productivity and profits, expand organizational offerings, better define competitive advantage, and more.

In-State Cost $31,380
Out-of-State Cost $31,380
Delivery Model Fully Online
Completion Time 18 - 36 months
Diploma Different? No
Application Deadline 1 Jul 15, 2021
Application Deadline 2 Aug 3, 2021
Alumni Companies
Exam Required GRE
Transfer Available No
Credits Needed to Complete 30
College Funded Aid No
Admission Requirements

Admission Requirements

For admission to the Graduate School, an applicant must hold either (1) a baccalaureate degree from a regionally accredited U.S. institution or (2) a tertiary (postsecondary) degree that is deemed comparable to a four-year bachelor's degree from a regionally accredited U.S. institution. This degree must be from an officially recognized degree-granting institution in the country in which it operates.

Applicants with an undergraduate degree in a quantitative discipline such as science, engineering, or business will be given preferred consideration. Applicants from other disciplines will be considered based on prior coursework, professional work experience, and/or standardized test scores.

What You Need

Applications are submitted electronically and include a nonrefundable application fee. You will need to upload the following items as part of your application:

Official transcripts from each institution attended, regardless of the number of credits or semesters completed. Transcripts not in English must be accompanied by a certified translation. Penn State alumni do not need to request transcripts for credits earned at Penn State, but must list Penn State as part of your academic history. If you are admitted, you will be asked to send an additional official transcript. You will receive instructions at that time.

For questions about transcripts, contact:
Penn State Great Valley
Phone: 610-648-3242
Email: gvadmiss@psu.edu

GPA and Test Scores — Postsecondary (undergraduate), junior/senior (last two years) GPA of 3.0 or above on a 4.0 scale is required.

*Please note: the GRE/GMAT requirement will be waived for those submitting an application to start in the Fall 2020 semester.* For students beginning after Fall 2020, official GMAT or GRE test scores are generally required. You can have your score reported directly from the testing center to Penn State. Submit your GMAT or GRE scores directly from the testing center to Penn State using code 2660. Tests must be taken no more than five years prior to application. A waiver for standardized tests can be requested in the online application and will be considered by the admissions committee during their review.

GMAT or GRE waiver — Applicants must indicate, in the online application, the basis for their request for a GMAT or GRE waiver from the following criteria:
Completion of a graduate degree
Completion of a graduate certificate
Undergraduate GPA of 3.2 or higher
Please note: If your degree is from outside the U.S. and you are requesting the test waiver, you must provide a course-by-course evaluation indicating the U.S. equivalent of your academic credentials by ECE®.

English Proficiency — The language of instruction at Penn State is English. With some exceptions, international applicants must take and submit scores for the Test of English as a Foreign Language (TOEFL) or International English Language Testing System (IELTS). Minimum test scores and exceptions are found in the English Proficiency section on the Graduate School's "Requirements for Graduate Admission" page. Visit the TOEFL website for testing information. Penn State's institutional code is 2660.

Reference (1) — You will need to initiate the process through the online application by entering the name and email address of one reference. Upon submission of your application, an email will be sent to the recommender requesting that she or he complete a brief online recommendation regarding your professional and/or academic strengths and accomplishments, and your potential for success in an online program. The admissions committee prefers that all recommendations be written within the last six months and reference the applicant's current career goals. Please inform your reference that she or he must submit the form in order for your application to be complete.

Program-Specific Questions/Materials

Statement of Purpose — In one page, describe your specific career goals and objectives, prior experience relevant to the decision to pursue an advanced degree, and other information that may be useful to the admissions committee. Upload your one-page statement to the online application.

Vita or Résumé — A listing of your professional experience. Upload to the online application.

Courses

Core Curriculum (9 credits)

  • Foundations of Predictive Analytics -IE 575
  • Data Mining - SWENG 545
  • Applied Statistics - STAT 500 Prescribed Courses (9 credits) Large-Scale Database and Warehouse - DAAN 825 Data-Driven Decision Making - DAAN 881 Database Design Concepts - INSC 521 Electives (Choose 9 credits) Principles of Demography APDEM 801 Data, GIS, and Applied Demography APDEM 802 Applications in Applied Demography APDEM 803 Data Collection and Cleaning DAAN 822 Large-Scale Databases for Real-Time Analytics DAAN 826 Network and Predictive Analytics for Socio-Technical Systems DAAN 846 Analytics Programming in Python DAAN 862 Data Visualization DAAN 871 Enterprise Analytics Strategies DAAN 897 Demographic Techniques SOC 573 Statistical Analysis System Programming STAT 483 Regression Methods STAT 501 Applied Time Series Analysis STAT 510 Technical Project Management SYSEN 505 Decision and Risk Analysis Engineering SYSEN 536 Capstone Experience (3 credits) Design and Implementation of Analytics Systems DAAN 888
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