Master of Science in
Data Analytics

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Data Analytics Program Details

Total Credits

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36

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Transfer Credits

15

Program Duration

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2 Years

Location

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  • Washington, DC
  • Falls Church, VA
  • Online

MSCHE Accredited

University of the Potomac is accredited by the Middle States Commission on Higher Education, an institutional accrediting agency recognized by the U.S. Secretary of Education and the Council for Higher Education Accreditation.

Real-World Expertise

The instructors in the MSDA program bring a blend of practical industry experience, and scholarly research to your classes—plus a passion for teaching.

For Working Professionals

Pursue your MSDA online or through a blend of online and on-campus study—whatever fits your busy schedule.

Data Analytics Program Overview

It’s a data-driven world. Data analytics was once a specialty field in science or finance—now it’s a necessity for businesses and organizations of all sizes. With University of the Potomac, you can develop the skills you need to help businesses capture data and mine it for actionable insights.

What You Will Learn

Essential Analytics Techniques

Our MS in Data Analytics takes you through a core curriculum designed to help you master computational tools, predictive modeling techniques, and statistical and quantitative methods that help public, private, and government organizations perform better forecasting, risk assessment, and decision making.

Specialize with a Concentration

Investigate the data analysis needs of a specific industry with our concentration options. Each concentration includes a capstone project that challenges you to synthesize concepts and skills from across the curriculum and apply them to solving a data analysis problem in your field of choice.

Concentrations

Artificial Intelligence

  • AIT 600 Artificial Intelligence
  • AIT 620 Methods of Artificial Intelligence and Machine Learning
  • AIT 670 Python for Artificial Intelligence
  • AIT 680 Artificial Intelligence and GPT Engineering

Business Analytics Concentration

  • BUS625 Business Analytics
  • BUS630 Data-Driven Decision Making
  • BUS690 Entrepreneurship and Small Business Management
  • RES 680 Capstone in Data Analytics

Marketing Analytics Concentration

  • MRKT640 Digital Marketing Strategy
  • BUS530 Marketing Management
  • MRKT650 Marketing Analytics
  • RES 680 Capstone in Data Analytics

Financial Analytics Concentration

  • FIN650 Financial Services Analytics
  • FIN655 Accounting Analytics
  • FIN660 Algorithmic Trading and Quantitative Investment Strategies
  • RES 680 Capstone in Data Analytics

Big Data Science Concentration

  • DACS610 Data Mining
  • DACS620 Machine Learning
  • DACS630 Data Preparation and Analysis
  • DACS640 Capstone: Data Integration, Warehousing and Analysis

Geospatial Intelligence Concentration

  • GIS580: Geospatial Intelligence
  • GIS581: Geospatial Analysis and Modeling
  • GIS583: Geospatial Web and Mobile Programming
  • GIS585: Geospatial Applications in IT, Business and Management

Courses and Curriculum

Master of Science in Data Analytics - 36 Credits

Master of Science in Data Analytics (36 Credits)
Core Courses: 24 Credits
  • MGMT610 Executive Leadership
  • BUS560 Management and Information Systems
  • MCAP520 Enterprise Data Management and Administration
  • COMP470 Database Organization II
  • DACS640 Data Integration, Warehousing, Provenance, and Analysis
  • COMP590 Data Presentation and Visualization
  • COMP605 Optimization and Risk Assessment
  • DACS600 Advanced Data Analytics

Students will also take 12 additional credits in their concentration area of choice.

Concentration: 12 Credits

Students also take 12 credits of courses in the concentration of their choice.

Requirements and Outcomes

Program Learning Outcomes

Graduates of the Master of Science in Data Analytics program will be able to:

  • Design, implement, populate, and query relational databases for operational data.
  • Design, implement, populate, and query data warehouses for informational data.
  • Harness very large data sets to make business decisions.
  • Evaluate the use of data from acquisition through cleansing, warehousing, analytics, and visualization to the ultimate business decision.
  • Execute real-time analytical methods on streaming datasets to react quickly to customer needs.
  • Communicate effectively with a range of audiences.
  • Initiate and lead teamwork, implement a wide range of teamwork development, manage multi-cultural communication and conflicts.
  • Develop a personal code of values and ethics that includes a commitment to personal and social understanding.
Admission Requirements

Applicants must complete the following steps to apply.

General Admission Requirements:

  • Submission of a completed application for admission.
  • Submission of a signed attestation of high school (or equivalent) completion.
    • Equivalencies can include GED certificates or international credentials that meet our international admissions standards. Home-schooled students must present a diploma that meets the high school graduation requirements of the state in which it was issued.
  • Arrange for official transcripts from all colleges and universities previously attended to be submitted to the Office of Records and Registration, University of the Potomac.
  • Submit grade reports or scores from any recognized college-equivalency examinations (e.g., CLEP, DANTES, and Advanced Placement).
  • Submit certificates from any corporate education training or professional development programs. (Note: An ACE evaluation form may be required to determine appropriate credit for corporate educational training.)
  • Submit military training documents. (Note: An ACE military evaluation form may be required to determine appropriate credit for military training.)
  • Complete an admissions interview (in person or virtual).

MS in Data Analytics Requirements:

Applicants to our master’s degree program in data analytics must provide the following:

  • Proof of attainment of a four-year bachelor’s degree or its equivalent in other countries.
    • International applicants with a three-year undergraduate degree may be admitted on the recommendation of the Admission Committee following an evaluation of each student’s preparation.
  • Two letters of recommendation from individuals who may be a direct supervisor or university faculty member. Note that this requirement may be waived for those students with master’s-level transfer credits.
  • One essay addressing the student’s preparation for the graduate program, submitted as a Microsoft Word document.
Tuition

Tuition is calculated per credit hour. Most courses are worth three credits each. Costs below are for domestic (U.S.-based) students only:

  • Master’s Degree Tuition: $450 per credit hour

Additional fees apply. Financial aid is available to those who apply and qualify. Learn more about affording your degree here.

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By clicking the Send me more information button above, I represent that I am 18+ years of age, that I have read and agreed to the Terms & Conditions and Privacy Policy, and agree to receive email marketing and phone calls from UOTP. I understand that my consent is not required to apply for online degree enrollment. To speak with a representative without providing consent, please call +1(202)274-2300

privacy We value your privacy.