
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.
Program Objectives
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
Get more details
Visit official programme websiteProgramme 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
- Deterministic Operations Research
Check out the full curriculum
Visit official programme websiteKey information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , National
- Apply before , International
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- Starting
- Apply before , National
- Apply before , International
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Language
Credits
Delivered
Disciplines
General Engineering & Technology Computer Sciences Data Science & Big Data View 1866 other Masters in General Engineering & Technology in United StatesExplore more key information
Visit official programme websiteAcademic requirements
We are not aware of any academic requirements for this programme.
English requirements
Other requirements
General requirements
- Completed online application form
- $75 application fee
- Two letters of recommendation
- Transcripts from all institutions attended
- Statement of purpose
- Resumé
- TOEFL, IELTS, or Duolingo for international applicants
Make sure you meet all requirements
Visit official programme websiteTuition Fee
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International
52200 USD/yearTuition FeeBased on the tuition of 1740 USD per credit during 24 months. -
National
52200 USD/yearTuition FeeBased on the tuition of 1740 USD per credit during 24 months. -
In-State
52200 USD/yearTuition FeeBased on the tuition of 1740 USD per credit 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.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.