Overview
The Data Analytics Engineering - Experiential programme at Northeastern University is designed to bridge the gap between engineering theory and practical data application. Students develop the technical expertise required to transform vast datasets into actionable insights for diverse global industries.
This curriculum builds upon a student's existing background in science or engineering to foster mastery in the analysis and optimisation of complex data structures. By engaging with advanced coursework, learners gain the research experience necessary to support high-level decision-making processes in modern enterprises.
The academic framework focuses on developing rigorous analytical capabilities through core subjects such as statistics, database management, and operations research.
Why Data Analytics Engineering - Experiential at Northeastern University?
Northeastern University is renowned for its leading cooperative education model, which allows students to participate in up to eight months of professional work experience. This experiential approach ensures that academic learning is directly applied within real-world industry settings.
Students benefit from the university's extensive network of over 37 research facilities and deep connections to the biotech, healthcare, and finance sectors. The programme also offers the flexibility to specialise through elective courses across different colleges, including options in the Gordon Institute of Engineering Leadership.
The institution provides a hub of innovation, particularly at its Boston campus, which is situated in a top-ranked state for education and living. Facilities are designed to support groundbreaking research, allowing students to collaborate with expert faculty on projects that address contemporary global challenges.
Tuition Fee Breakdown
- International fee: USD 61728 per full
- National fee: USD 61728 per full
- Local fee: USD 59600 per full
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
Modules may include:
- Operations Research
- Statistics
- Data Mining
- Database Management
- Visualization
- Big Data
- Smart Manufacturing
- Machine Learning
- Business Analytics
- Healthcare Analytics
- Network Science
- Internet of Things
Careers with Data Analytics Engineering - Experiential
Graduates are well-positioned for roles as operations research analysts, a field projected to grow significantly faster than the average for all occupations. The programme prepares individuals for high-impact positions in sectors such as national security, defense, and supply chain logistics.
Beyond immediate employment, the curriculum provides a robust foundation for those wishing to pursue doctoral studies in engineering, finance, or sustainability. Alumni often find success in diverse industries including banking, marketing, human resources, and healthcare informatics.
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
- Apply before , International
-
- Starting
- Apply before , National
- Apply before , International
-
- International Students Inside the US Fall: July 1
- International Students Inside the US Spring: November 1
Language
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Credits
Delivered
Campus Location
- Boston, United States
Disciplines
General Engineering & Technology Data Analytics View 400 other Masters in Data Analytics 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
Prepare for Your English Test
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
- Online Application
- $75 Applications Fee
- Unofficial Transcripts
- Resume
- Statement of Purpose
- 2 Letters of Recommendation
- GRE Optional
Tuition Fees
-
International Applies to you
Applies to youNon-residents30864 USD / year≈ 30864 USD / year - Out-of-State30864 USD / year≈ 30864 USD / year
-
Domestic
Applies to youIn-State30864 USD / year≈ 30864 USD / year
Additional Details
59600
Living costs
Boston
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
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- Free visa & career support through our Path2Success program
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Analytics Engineering - Experiential.
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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