Overview

Data engineering is a vital discipline that revolves around the creation and management of systems for the collection, storage, and analysis of data. This field encompasses various areas such as system design, analytics, machine learning, statistics, security, and database management. The M.Sc. in Data Engineering at Southern Methodist University (SMU) is tailored to meet the demands of both industry professionals and researchers, ensuring that students acquire the necessary skills to excel in this rapidly evolving sector.

Why Data Engineering at Southern Methodist University?

Southern Methodist University is renowned for its commitment to academic excellence and innovative research. The Data Engineering programme is supported by state-of-the-art facilities and a faculty comprising experts in the field. SMU's strategic partnerships with leading industries provide students with valuable networking opportunities and insights into current trends and practices in data engineering. The university's strong ranking in engineering education further enhances the value of the degree.

Tuition Fee Breakdown

The tuition fees for the Data Engineering programme at SMU are as follows:

International Fee: USD 1,275 per credit
National Fee: USD 1,275 per credit
Local Fee: USD 1,275 per credit

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

Syllabus

The curriculum for the M.Sc. in Data Engineering includes a core curriculum and a selection of elective courses. Students must complete:

Core Courses:

Information System Design Strategies
Data Mining or Machine Learning in Python
Probability and Statistics for Scientists and Engineers
Microcontroller Architecture and Interfacing

Elective Courses:

Algorithm Engineering
Random Processes in Engineering
Statistical Design and Analysis of Experiments
Advanced Database Management Systems
Cloud Computing
Machine Learning and Neural Networks
Data and Network Security
Digital Signal Processing Architectures

Students can choose electives based on their interests, with options available in various specialisations within data engineering.

Careers with Data Engineering

Graduates of the M.Sc. in Data Engineering programme at SMU are well-prepared for a range of career opportunities in data-centric roles. Alumni have successfully secured positions in leading companies across various sectors, including technology, finance, and healthcare. Typical job roles include data engineer, data analyst, machine learning engineer, and database administrator. The programme equips students with the skills necessary to navigate the complexities of data management and analytics, making them valuable assets in the job market.

Programme Structure

Courses:

Information System Design Strategies

Machine Learning in Python

Probability and Statistics for Scientists and Engineers

Statistical Design and Analysis of Experiments

Information Theory

XML and the Enterprise

Management of Information Technologies

Key information

Duration

Full-time
- 12 months

Start dates & application deadlines

Starting 2026-08-25 00:00:00
- Apply before 2026-05-15 00:00:00 , International
- Apply before 2026-07-15 00:00:00 , National
Starting 2027-01-21 00:00:00
- Apply before 2026-11-10 00:00:00 , International
- Apply before 2026-12-01 00:00:00 , National

Language

English

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IELTS

6.5

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Credits

30 SCH

Delivered

On Campus

Campus Location

Dallas, United States

Disciplines

Data Science & Big Data View 466 other Masters in Data Science & Big Data in United States

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Academic requirements

GRE^®

Required

English requirements

Duolingo English Test

110

Take A Free Practice Test!

TOEFL^® IBT

Schedule TOEFL®

IELTS

6.5

Prepare for Your English Test

Cathoven AI IELTS Preparation

Learn your IELTS Score

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

A bachelor’s degree in one of the engineering disciplines, quantitative sciences, mathematics, or computer science.

A minimum of one year of college-level calculus and an introductory course in probability and statistics.

A minimum of two years of industry experience or submission of official GRE general graduate school admission test scores.

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

40500 USD / year

≈ 40500 USD / year
Out-of-State

40500 USD / year

≈ 40500 USD / year
Domestic

Applies to you

In-State

40500 USD / year

≈ 40500 USD / year

Living costs

Dallas

United States

1140 - 1925 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 Engineering.

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

Dallas

Financing

Funding

Scholarships Information

Available Scholarships

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