Overview
The M.S. in Spatial Data Science at Pennsylvania State University is an innovative programme that empowers students to harness extensive geospatial data for insightful analysis and problem-solving. This degree uniquely merges the fields of Geographic Information Systems (GIS) and data science, enabling graduates to address complex location-based challenges through advanced analytical techniques and programming skills. This programme is entirely online, allowing for flexibility in study while maintaining a rigorous academic structure. Students can complete their coursework at their own pace, ensuring that they can balance their studies with personal and professional commitments.
Why Spatial Data Science at Pennsylvania State University?Penn State is a recognised leader in online education, with over 100 years of experience in distance learning. The university's World Campus has been at the forefront of online education for more than two decades, ensuring that students receive the same quality of education as those attending on-campus. The programme is designed by expert faculty who are leaders in the geospatial field, providing students with cutting-edge knowledge and skills applicable in various industries.
Tuition Fee BreakdownThe tuition fee for the M.S. in Spatial Data Science is as follows:
- International Students: USD 24,650 per year
- Domestic Students: USD 24,650 per year
- Local Students: USD 24,650 per year
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe programme comprises 33 to 36 credits, structured into four key areas of study:
- Required courses (15 credits)
- Spatial data science methods electives (9 credits)
- Spatial data science application electives (6 credits)
- Culminating experience: scholarly paper or research thesis (3 or 6 credits)
Required courses include:
- GIS Programming and Software Development
- Cartography and Visualization
- Geovisual Analytics
- Geospatial System Analysis and Design
- Geographical Information Analysis
Elective courses allow students to delve deeper into specific areas of interest, enhancing their expertise and employability.
Careers with Spatial Data ScienceGraduates of the M.S. in Spatial Data Science are well-equipped for senior roles across diverse sectors, including business, public health, emergency management, natural resources, and urban development. Common job titles for alumni include:
- Geographic Data Visualization Specialist
- Geospatial Analyst
- GIS Software Developer
- GIS/Geospatial Data Engineer
- Spatial Data Scientist
The programme prepares students for a dynamic job market, with increasing demand for data scientists and geospatial professionals.
Programme Structure
Courses include:
- GIS Programming and Software Development
- Cartography and Visualization
- Geovisual Analytics
- Geospatial System Analysis and Design
- Geographical Information Analysis
- Exploring Imagery and Elevation Data in GIS Applications
- GIS Database Development
Key information
Start dates & application deadlines
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Language
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Credits
33-36
Delivered
Campus Location
- University Park, United States
Disciplines
Geographical Information Systems (GIS) Data Science & Big Data View 196 other Masters in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General 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.
As part of online application:
- Official transcripts from each institution attended
- English Proficiency
- References (2)
- Personal Statement
- Résumé
Tuition Fees
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International Applies to you
Applies to youNon-residents24650 USD / year≈ 24650 USD / year - Out-of-State24650 USD / year≈ 24650 USD / year
-
Domestic
Applies to youIn-State24650 USD / year≈ 24650 USD / year
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Spatial Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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