Master of Data Analytics Engineering at Northeastern University

Northeastern University

United States of America, Boston

University Rank:#384

The Data Analytics Engineering at Northeastern University is a Master program designed for students who want to build the knowledge and skills required for careers in this field. Delivered on campus across its Boston and Seattle campuses in United States of America, the program is taught in English and takes 2 years to complete. Students study in a Full Time environment while preparing for future professional opportunities. The next intake starts on January 1, 2027.

About Master of Data Analytics Engineering

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 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.

More Details

Unique Features

This program meets F-1 international student status requirements
Core courses for this program are offered by the College of Engineering, while elective courses can be chosen from diverse disciplines spread across various colleges at Northeastern
Program designed to enable graduating students to address the growing need for professionals who are trained in advanced data analytics

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

The Master of Science in Data Analytics Engineering 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.

This program meets F-1 international student status requirements
Core courses for this program are offered by the College of Engineering, while elective courses can be chosen from diverse disciplines spread across various colleges at Northeastern
Program designed to enable graduating students to address the growing need for professionals who are trained in advanced data analytics

Requirements and Admission Criteria for Master of Data Analytics Engineering at Northeastern University

Entry Requirements

Completed online application form
$75 application fee
Two letters of recommendation
Transcripts from all institutions attended
GRE is not required for terms starting during the 2021-2022 or the 2022-2023 academic years
Statement of purpose
Resumé
TOEFL, IELTS, or Duolingo for international applicants

English Requirements

PTEMin 76
IELTSMin 8
TOEFLMin 108

English Program Requirements

Northeastern students will be exposed to not only a rigorous academic environment but also a fast-paced experiential one. In order to be successful in both, all first-year and transfer applicants, regardless of citizenship, must demonstrate proficiency in English to be considered for admission to Northeastern.

Once your application is submitted, received, and processed, you will be able to access your Application Status Check. If you are required to provide further information regarding your proficiency in English, you will be able to complete the requirement in several ways, depending on your familiarity with English, and the frequency with which you use English each and every day:

Non-native English-speaking applicants will be required to submit official and valid results from one of the following English Language Tests:
- C1 Advanced or C2 Proficiency (Cambridge English)
- Duolingo English Test (DET)
- IELTS Academic
- PTE Academic
- TOEFL Internt-based Test (CEEB Code: 3667) Northeastern will accept either the in-person version completed in a test center, or the TOEFL iBT Home Edition
However, based on your academic environment and the primary instructional language in either your high school or university, you may be eligible for a waiver. All waivers must be submitted through your Application Status Check. For additional information and to determine whether or not you are eligible for a waiver, please read the section below on waiving the English proficiency requirement.

Please note: Northeastern’s Admissions Committee reserves the right to request proof of English language proficiency from any applicant, regardless of citizenship or first language, at any time during the evaluation process.

Tuition and Fee Information for Master of Data Analytics Engineering at Northeastern University

Application Fee 75

How to Apply for Master of Data Analytics Engineering at Northeastern University

1.Create your application
Submit your application through The Common Application or the Coalition Application (both are accepted). Once you have created your application, please select Northeastern University to directly submit your application to us. Application fee of $75 or need-based fee waiver* *Northeastern accepts need-based fee waivers from the Common Application, the Coalition Application, as well as organizations such as the College Board and ACT, or in a written request from a school official.
2.Submit all required materials
Double check to make sure that you have submitted all required materials. Even if your application has been submitted, we cannot begin reviewing your file until all of your required materials have been received. For applicants applying for the 2022-2023 academic year, Northeastern University is test-optional and does not require standardized testing to complete an application for admission.
3.Check your application status
Within seven days of applying, you should receive a confirmation email containing your Northeastern University ID number and instructions for setting up your Application Status Check account. To ensure all of the necessary documents have been submitted, and for updates or information about your application, visit your application status check.

Master of Data Analytics Engineering at Northeastern University

Northeastern University

United States of America, Boston