Overview

This advanced Master of Science programme in Data Science, Analytics and Engineering (Sustainable Engineering and Built Environment) at Arizona State University is designed to prepare students for a thriving career in a data-driven world. The curriculum blends high-demand data science skills with a focus on sustainable engineering, ensuring graduates are well-equipped to tackle contemporary challenges in various sectors. As the demand for data scientists continues to rise, this programme stands out by providing a unique combination of technical expertise and sustainability principles.

Why Data Science, Analytics and Engineering (Sustainable Engineering and Built Environment) at Arizona State University?

Arizona State University is renowned for its innovative approach to education and has consistently ranked among the top universities in the United States. The Ira A. Fulton Schools of Engineering, where this programme is housed, offers state-of-the-art facilities and resources that enhance the learning experience. Partnerships with industry leaders provide students with opportunities for collaboration on real-world projects, ensuring they graduate with practical experience and a strong professional network.

Tuition Fee Breakdown

The tuition fees for the Data Science, Analytics and Engineering (Sustainable Engineering and Built Environment) programme are as follows:

National Students: USD 26,496 per year
International Students: USD 28,890 per year
Local Students: USD 12,562 per year

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

Syllabus

The curriculum comprises a total of 30 credit hours, including core courses, concentration courses, and electives. Key components of the programme include:

Core Courses (9 credit hours):
- Statistics for Data Analysts
- Probability and Random Processes
- Intermediate Statistics for Human Systems Engineering
- Theory of Statistics I: Distribution Theory
- Data Processing at Scale
- Distributed Database Systems
- Advanced Database Management Systems
Concentration Courses (9 or 12 credit hours):
- Machine Learning Techniques in Civil Engineering
- Additional approved courses
Electives (6 or 9 credit hours)
Culminating Experience (3 or 6 credit hours):
- Thesis
- Data Science Capstone

Careers with Data Science, Analytics and Engineering (Sustainable Engineering and Built Environment)

Graduates of this programme can pursue a variety of career paths in sectors such as civil, environmental, and construction management. They are well-prepared for roles that involve managing and analysing data to inform decision-making processes. Potential job opportunities include positions in:

Building and Construction
Environmental Remediation
Transportation
Water Treatment

With a solid foundation in both data science and sustainable engineering, alumni are positioned to excel in diverse and impactful roles across multiple industries.

Programme Structure

Courses include:

Sustainable Infrastructure Systems
Data Analytics for Built Environment
Energy Efficiency and Renewable Energy Systems
Urban Sustainability and Resilience
Environmental Modeling

Key information

Duration

Full-time
- 12 months

Start dates & application deadlines

Starting 2027-01-11 00:00:00
- Apply before 2026-07-31 00:00:00
Starting 2027-08-20 00:00:00
- Apply before 2026-12-31 00:00:00

More details

Priority deadlines.

Language

English

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Credits

30 SCH

Delivered

On Campus

Campus Location

Tempe, United States

Disciplines

Environmental Engineering Data Science & Big Data Data Analytics View 461 other Masters in Data Science & Big Data in United States

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Academic requirements

GPA

English requirements

Duolingo English Test

115

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TOEFL^® IBT

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PTE Academic

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IELTS

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Learn your IELTS Score

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98 accuracy using real exam data
4.9/5 student rating

Other requirements

General requirements

Bachelor’s degree or higher from a regionally accredited institution in the U.S. or equivalent international institution
Minimum GPA of 3.00 in the last 60 semester hours or 90 quarter hours of undergraduate coursework
Completion of a graduate admission application and payment of nonrefundable application fee
Submission of any additional required materials, such as letters of recommendation or a statement of purpose, as specified by the program

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

30348 USD / year

≈ 30348 USD / year
Out-of-State

27810 USD / year

≈ 27810 USD / year
Domestic

Applies to you

In-State

12940 USD / year

≈ 12940 USD / year

Living costs

Tempe

United States

900 - 1350 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 Data Science, Analytics and Engineering (Sustainable Engineering and Built Environment).

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

Tempe

Financing

Funding

Scholarships Information

Available Scholarships

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