24 months
Duration
53200 USD/year
53200 USD/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The Data Analytics Engineering program offers students an opportunity to train for industry jobs or to acquire rigorous analytical skills and research experience to prepare for a doctoral program in health, security, and sustainability at Northeastern University.

Visit the official programme website for more information

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

Programme Structure

Courses include:

  • Engineering Probability and Statistics
  • Computation and Visualization for Analytics 
  • Data Management for Analytics
  • Data Mining in Engineering
  • Statistical Methods in Engineering
  • Deterministic Operations Research 

Key information

Duration

  • Full-time
    • 24 months

Start dates & application deadlines

Credits

60 alternative credits

Delivered

On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

Other requirements

General requirements

  • Completed online application form
  • $75 application fee
  • Two letters of recommendation
  • Transcripts from all institutions attended
  • GRE is not required for applicants starting spring 2021
  • Statement of purpose
  • Resumé
  • TOEFL, IELTS, or Duolingo for international applicants

Tuition Fee

To alway see correct tuition fees
  • International

    53200 USD/year
    Tuition Fee
    Based on the tuition of 53200 USD per year during 24 months.
  • National

    53200 USD/year
    Tuition Fee
    Based on the tuition of 53200 USD per year during 24 months.

Living costs for Seattle

1480 - 2580 USD /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

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.

Our partners

Data Analytics Engineering
-
Northeastern University

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