Data Intelligence and GeoAnalytics

Saint Mary's University of Minnesota

M.Sc. Blended
24 months
650 USD/credit
650 USD/credit
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 alternative credits



Academic requirements

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

English requirements

TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at designated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).
PTE Academic admission requirements PTE Academic PTE Academic (Pearson Test of English Academic) is a language test that enables students to demonstrate their writing, listening, speaking, and reading skills when applying to study in English. The score refers to a total score which ranges between 10 and 90.

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

  • International

    650 USD/credit
    Tuition Fee
    Based on the original amount of 650 USD per credit and a duration of 24 months.
  • National

    650 USD/credit
    Tuition Fee
    Based on the original amount of 650 USD per credit and a duration of 24 months.


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.

Fresh content

Updated in the last year

Check the official programme website for potential updates.

Data Intelligence and GeoAnalytics
Saint Mary's University of Minnesota