Overview

Why Spatial Data Science at University of Southern California?

The University of Southern California (USC) is renowned for its academic excellence and innovative research. The Master of Science in Spatial Data Science is a collaborative initiative between the Viterbi School of Engineering and the Dornsife College of Letters, Arts and Sciences. This joint programme leverages the strengths of both faculties, providing students with a rich educational experience. USC's commitment to cutting-edge research and its robust industry partnerships enhance the learning environment, offering students access to state-of-the-art facilities and resources. The university is consistently ranked among the top institutions globally, making it a prime choice for aspiring data scientists.

Tuition Fee Breakdown

The tuition fees for the Master of Science in Spatial Data Science are as follows:

Domestic Fee: USD 2,543 per credit
International Fee: USD 2,543 per credit
Local Fee: USD 2,543 per credit

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum for the Master of Science in Spatial Data Science is meticulously crafted to provide a solid foundation in key areas of spatial data analysis. Students will engage in a core set of courses alongside elective options tailored to their career aspirations. The following modules are integral to the programme:

Information Engineering
Spatial Analysis
Data Management
Data Visualisation
Artificial Intelligence Techniques
Machine Learning
Geospatial Problem Solving

This diverse syllabus ensures that graduates are well-prepared to tackle real-world challenges in various sectors.

Industry Demand

Spatial data science professionals are increasingly sought after across multiple industries, including healthcare, marketing, transportation, and environmental sustainability. As organisations continue to harness the power of geospatial data, the demand for skilled graduates in this field is expected to rise significantly.

Careers with Spatial Data Science

Graduates of the Master of Science in Spatial Data Science will find themselves well-positioned for a variety of career paths. Alumni have successfully secured roles in leading companies and organisations, utilising their expertise in data analytics, geospatial technology, and decision-making processes. Potential job titles include Data Scientist, Geospatial Analyst, and Spatial Data Engineer, with opportunities available in sectors such as technology, government, and non-profit organisations. The programme prepares students not only with technical skills but also with the ability to lead data science initiatives, making them valuable assets in the job market.

Programme Structure

Courses include:

Computational Thinking and Data Science
Concepts for Spatial Thinking
Spatial Computing
Spatial Analysis
Principles of Programming for Informatics
Overview of Data Informatics in Large Data Environments

Key information

Duration

Full-time
- 12 months

Start dates & application deadlines

Starting 2027-01-11 00:00:00
- Apply before 2026-09-01 00:00:00
Starting 2027-08-24 00:00:00
- Apply before 2027-01-15 00:00:00

Language

English

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IELTS

6.5

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Credits

32 SCH

Delivered

On Campus

Campus Location

Los Angeles, United States

Disciplines

Data Science & Big Data Artificial Intelligence Machine Learning View 104 other Masters in Machine Learning in United States

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Academic requirements

GPA

English requirements

TOEFL^® IBT

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PTE Academic

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IELTS

6.5

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98 accuracy using real exam data
4.9/5 student rating

Other requirements

General requirements

An undergraduate degree in science, technology, engineering, math or a related social science from a regionally-accredited university.
Programming experience or a strong math background are required for admission.
Satisfactory cumulative undergraduate GPA (grade point average)
Satisfactory GRE test scores
Transcripts
Resume/CV
Personal Statement:
Letters of Recommendation (2 Highly Recommended): Letters of recommendation should be from faculty or others (supervisors, professional colleagues, etc.) qualified to evaluate your potential for graduate study.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

85280 USD / year

≈ 85280 USD / year
Out-of-State

85280 USD / year

≈ 85280 USD / year
Domestic

Applies to you

In-State

85280 USD / year

≈ 85280 USD / year

Living costs

Los Angeles

United States

1520 - 2570 USD / month

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

Financing

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Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

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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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About

Overview

Programme Structure

Key information

Duration

Start dates & application deadlines

Language

Prepare for Your English Test

Credits

Delivered

Campus Location

Disciplines

What students do after studying

Academic requirements

English requirements

Prepare for Your English Test

Other requirements

General requirements

Tuition Fees

International Applies to you

Domestic

Living costs

Los Angeles

Financing

Funding

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Scholarships Information

Available Scholarships

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