M.Sc. Blended

Data Intelligence and GeoAnalytics

Saint Mary's University of Minnesota

24 months
700 USD/credit 12600 USD/year
700 USD/credit 12600 USD/year
Tuition fee
Apply date
Start date


Saint Mary's University of Minnesota has long been a leader in providing students with the educational foundation and in-field experience necessary for successful careers and leadership positions in Data Intelligence and GeoAnalytics.


Interest in the field has increased significantly with the U.S. Department of Labor predicting an annual growth rate of 35 percent for the geospatial technology industry. In addition, analytical technologies are predicted for current and future growth (NMC Horizon Report, 2018) and according to IBM (2017), by 2020, there will be approximately 2,720,000 jobs available in fields served by data professionals.

Exceptionally prepared students may complete the degree in one year. All courses feature online learning with flexible blended scheduling.

Post-Degree Opportunities

Career paths for students who obtain their Master of Science in Data Intelligence and GeoAnalytics at Saint Mary's University of Minnesota are quite varied and diversified including careers in GIS (Geographic Information Science), information technology, data science, business analytics, asset and natural resource management, market analysts, urban planning, cloud/network administrators, public safety and emergency management, and surveying/drone data collection to name a few.

Regardless of your profession, your Saint Mary's education will give you:

  • A comprehensive understanding of effective research strategies
  • Real-world examples and hands-on experience to promote the efficient use of technology analytics and intelligence frameworks used in decision making
  • Thorough knowledge of data development techniques, analysis, and evaluation
  • Applied in-depth experience with geospatial technology in multiple fields ranging from health, natural resources, and business to urban planning, emergency management, and public policy
  • Experience in connecting concepts of data collection, data engineering, data science, and geoanalytics
  • Learning integrated technologies such as Python, R Programming/Scripting, SQL, JavaScript and web APIs, cloud architecture, data management via mobile devices, drones/sensors via IOT, and geo-artificial intelligence and data classifications.

Programme Structure

Courses include:

  • Fundamentals of Geographic Information Systems (GIS)
  • Quantitative Methods
  • Relational Database Design and Administration
  • Data Acquisition and Location of Things
  • Data Engineering

Key information


  • Full-time
    • 24 months

Start dates & application deadlines


36 SCH



Academic requirements

We are not aware of any academic requirements for this programme.

Other requirements

General requirements

  • Completed application form
  • Non-refundable application fee
  • Official transcripts posting the applicant’s completed bachelor degree
  • Other relevant official transcripts documenting potential transfer credits
  • International transcripts must be evaluated by a university-accepted evaluator
  • A reflective essay which includes a brief description of the applicant’s background, training, and experience, a description of the areas the applicant considers to be their strengths and areas in which the applicant wishes to develop greater strengths and abilities, and any personal information the applicant wishes to share
  • Two recommendations 
  • A current résumé listing educational background and work experience

Tuition Fee

To alway see correct tuition fees
  • International

    12600 USD/year
    Tuition Fee
    Based on the tuition of 700 USD per credit during 24 months.
  • National

    12600 USD/year
    Tuition Fee
    Based on the tuition of 700 USD per credit during 24 months.

Living costs for Winona

800 - 1300 USD /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.


Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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Data Intelligence and GeoAnalytics
Saint Mary's University of Minnesota


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