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
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
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , National
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- Starting
- Apply before , National
- Apply before , International
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- Starting
- Apply before , International
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Language
Credits
Delivered
Campus Location
- Seattle, United States
- Boston, United States
- Vancouver, Canada
Disciplines
General Engineering & Technology Data Science & Big Data View 472 other Masters in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
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.)
- GRE is not required for terms starting during the 2023-2024 or 2024-2025 academic years
- Statement of purpose
- Resumé
- TOEFL, IELTS, or Duolingo for international applicants
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Northeastern University and/or in your country of interest, please visit Student Insurance Portal.
Tuition Fee
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International
29824 USD/yearTuition FeeBased on the tuition of 59648 USD for the full programme during 24 months. -
National
29824 USD/yearTuition FeeBased on the tuition of 59648 USD for the full programme during 24 months. -
In-State
29824 USD/yearTuition FeeBased on the tuition of 59648 USD for the full programme during 24 months.
Living costs for Seattle
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
Interested in financing your studies? Find a student loan that works for you.
DISCLAIMER – Subject to credit approval, loans are made by Bank of Lake Mills or MPOWER Financing, PBC. Bank of Lake Mills does not have an ownership interest in MPOWER Financing. Neither MPOWER Financing nor Bank of Lake Mills is affiliated with the school you attended or are attending. Bank of Lake Mills is Member FDIC. None of the information contained in this website constitutes a recommendation, solicitation or offer by MPOWER Financing or its affiliates to buy or sell any securities or other financial instruments or other assets or provide any investment advice or service. 2022 © MPOWER Financing, Public Benefit Corporation NMLS ID #1233542. 1101 Connecticut Ave NW Suite 900, Washington, DC 20036
Funding
This programme is taught in different countries. Which country are you interested in?
- Canada
- United States
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Analytics Engineering.
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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