Overview

The Department of Mechanical and Industrial Engineering offers the Master of Science in Data Analytics Engineering in order to meet the current and projected demand for a workforce trained in analytics. While the core courses for this program are offered by the College of Engineering, elective courses can be chosen from diverse disciplines spread across various colleges at Northeastern.

The program from Northeastern University is designed to enable graduating students to address the growing need for professionals who are trained in advanced data analytics and can transform large streams of data into understandable and actionable information for the purpose of making decisions. The key sectors that require analytics professionals include healthcare, smart manufacturing, supply chain and logistics, national security, defense, banking, finance, marketing, and human resources.

This degree program seeks to prepare students for a comprehensive list of tasks including collecting, storing, processing and analyzing data, reporting statistics and patterns, drawing conclusions and insights, and making actionable recommendations.

Key Facts

The MS in Data Analytics Engineering is designed to help students acquire knowledge and skills to:

Discover opportunities to improve systems, processes, and enterprises through data analytics
Apply optimization, statistical, and machine-learning methods to solve complex problems involving large data from multiple sources
Collect and store data from a variety of sources, including Internet of Things (IoT), an integrated network of devices and sensors, customer touch points, processes, social media, and people
Work with technology teams to design and build large and complex SQL databases
Use tools and methods for data mining, big-data algorithms, and data visualization to generate reports for analysis and decision-making
Create integrated views of data collected from multiple sources of an enterprise
Understand and explain results of data analytics to decision makers
Design and develop analytics projects
You’ll gain valuable research experience desired by employers by designing and developing analytics projects in both individual and group settings. Some recent research projects have included:
Investigating innovative models for tumor response forecasting to personalize pre-surgical treatment for breast cancer patients
Developing adaptive maintenance methods, standards, and metrics for monitoring and performance assurance (Mpass) of smart manufacturing equipment
Building a robust continuous objective multimodal pain assessment sensing system (COMPASS) using physiological signals and facial expressions

This program is visa-eligible at Northeastern University campuses in the United States and Canada.Disclaimer: Visa eligibility may vary by location and individual circumstances. Applicants are responsible for verifying the most up-to-date visa regulations with the relevant visa or immigration agency before applying.

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Programme Structure

Courses include:

Special Topics in Industrial Engineering

Computation and Visualization for Analytics

Data Management for Analytics

Data Management and Database Design

Data Mining in Engineering

Statistical Methods in Engineering

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Key information

Duration

Full-time
- 24 months

Start dates & application deadlines

Starting 2026-09-09 00:00:00
- Apply before 2026-08-01 00:00:00 , National
- Apply before 2026-06-01 00:00:00 , International
Starting 2027-01-07 00:00:00
- Apply before 2026-12-01 00:00:00 , National
- Apply before 2026-11-01 00:00:00 , International

More details

Final Deadline: International Students Inside the US - July 1 for Fall
International Students Inside the US - December 1 for Spring

Language

English

Duolingo English Test

105

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IELTS

6.5

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Credits

32 SCH

Delivered

On Campus

Campus Location

Seattle, United States
Boston, United States
Vancouver, Canada

Disciplines

General Engineering & Technology Data Science & Big Data View 708 other Masters in General Engineering & Technology in United States

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

Duolingo English Test

105

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TOEFL^® IBT

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IELTS

6.5

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Cathoven AI IELTS Preparation

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98 accuracy using real exam data
4.9/5 student rating

Other requirements

General requirements

Completed online application form
Application fee
Two letters of recommendation
Transcripts from all institutions attended
The Foreign Credential Evaluation (FCE) is a required assessment of all transcripts and documents from non-U.S. accredited post-secondary education institutions. (Review the FCE requirements by country.)
Statement of purpose
Resumé
TOEFL, IELTS, or Duolingo for international applicants

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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

30864 USD / year

≈ 30864 USD / year
Out-of-State

30864 USD / year

≈ 30864 USD / year
Domestic

Applies to you

In-State

30864 USD / year

≈ 30864 USD / year

Living costs

Seattle

United States

1480 - 2580 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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No upfront fees or prepayment penalties
Accepted at 500+ universities across the U.S. & Canada
100% online application -- instant conditional offer
Free visa & career support through our Path2Success program

Funding

This programme is taught in different countries. Which country are you interested in?

Country 1

Canada
United States

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 Analytics Engineering.

Available Scholarships

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Overview

Key Facts

Get more details

Programme Structure

Check out the full curriculum

Key information

Duration

Start dates & application deadlines

Language

Prepare for Your English Test

Credits

Delivered

Campus Location

Disciplines

Explore more key information

What students do after studying

Academic requirements

English requirements

Prepare for Your English Test

Other requirements

General requirements

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Tuition Fees

International Applies to you

Domestic

Living costs

Seattle

Financing

Funding

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Scholarships Information

Available Scholarships

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