Overview

The Master of Science in Data Science and Engineering at Auburn University is designed to equip students with the essential skills needed to excel in the rapidly evolving fields of data science and engineering. This programme is particularly focused on the Data Engineering option, which is administered by the Department of Computer Science and Software Engineering. Students will delve into the intricacies of managing, processing, and extracting valuable insights from vast datasets, preparing them for a wide array of career opportunities.

Why Data Science and Engineering at Auburn University?

Auburn University is renowned for its commitment to academic excellence and innovative research. The Data Science and Engineering programme is structured to provide a robust blend of theoretical knowledge and practical application. With a strong emphasis on cutting-edge technologies, students will gain familiarity with the latest tools and techniques essential for tackling big data challenges. The university’s partnerships with industry leaders and access to state-of-the-art facilities further enhance the learning experience, ensuring that graduates are well-prepared for the workforce.

Tuition Fee Breakdown

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

Domestic Fee: USD 17,461 per semester
International Fee: USD 17,461 per semester
Local Fee: USD 6,445 per semester

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

Syllabus

The curriculum for the Data Engineering option includes a comprehensive selection of core and elective courses, as well as a capstone experience. Key areas of study encompass:

Data Mining
Machine Learning
Statistical Learning
Algorithms
Calculus
Probability and Statistics

This diverse syllabus ensures that students acquire both foundational knowledge and specialised skills necessary for success in the field.

Guaranteed Work Experience

This programme includes a mandatory capstone experience, allowing students to apply their theoretical knowledge to real-world scenarios, thereby enhancing their practical skills and employability.

Careers with Data Science and Engineering

Graduates of the Master of Science in Data Science and Engineering can pursue various roles across multiple industries. Alumni have found positions in reputable companies, engaging in roles such as Data Engineer, Data Analyst, and Machine Learning Specialist. The skills gained through this programme prepare students for dynamic careers in sectors such as technology, finance, healthcare, and more, where data-driven decision-making is paramount.

Programme Structure

Courses

Database Systems
Data Mining
Machine Learning
Statistical Learning
Probability and Statistics

Key information

Duration

Full-time
- 12 months

Start dates & application deadlines

Starting 2026-08-19 00:00:00
- Apply before 2026-05-21 00:00:00 , International
Starting 2027-01-13 00:00:00
- Apply before 2026-10-15 00:00:00 , International

More details

International students should submit all materials at least 90 days before the first day of class and domestic students at least 45 days before the first day.

Language

English

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IELTS

6.5

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Credits

30 SCH

Delivered

On Campus, Online

Campus Location

Auburn, United States

Disciplines

Statistics Data Science & Big Data View 461 other Masters in Data Science & Big Data in United States

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Academic requirements

GPA

GRE^®

Required

English requirements

TOEFL^® IBT

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IELTS

6.5

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Other requirements

General requirements

You hold a bachelor's degree in engineering or science from an institution of recognized standing.
Having a baccalaureate degree in computer science, software engineering, mathematics, statistics or an equivalent discipline, or significant work experience in information technology or applied mathematics and statistics, will be beneficial.
You have had at least one statistics course at the 3000-level or above.
You have knowledge of at least one modern programming language.
Your GRE general exam (data science option only; not required for data engineering option)
Data Engineering Option applicants will be evaluated by the graduate committee of the Department of Computer Science and Software Engineering; Data Science Option applicants will be assessed by the graduate committee of the Department of Mathematics and Statistics.

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

35986 USD / year

≈ 35986 USD / year
Out-of-State

35986 USD / year

≈ 35986 USD / year
Domestic

Applies to you

In-State

13306 USD / year

≈ 13306 USD / year

Living costs

Auburn

United States

850 - 1300 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 and Engineering - Data Engineering Option.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

On this page

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

Auburn

Financing

Funding

Scholarships Information

Available Scholarships

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