Northeastern University United States

Data Analytics Engineering, MS

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 2 Years
Mode On Campus
Level Postgraduate
Degree Masters Degree
Closing soon February 2027

Course Overview

The Master of Science in Data Analytics Engineering at Northeastern University is designed for ambitious professionals seeking to master the advanced analytical techniques essential for transforming complex data into actionable insights. In today's data-driven economy, fields like healthcare, smart manufacturing, and finance demand experts who can collect, process, and interpret vast datasets to inform critical decision-making. This postgraduate program equips you with the foundational knowledge and specialized skills in areas such as data mining, computation, and statistical analysis, preparing you to address the growing need for data-savvy engineers.

You will engage in a rigorous, full-time, on-campus learning experience over two years, with core requirements including Foundations for Data Analytics Engineering and Data Management for Analytics. You have the flexibility to choose between a coursework option, a master's project, or a thesis, allowing you to tailor your studies to your career aspirations. This structure ensures you develop practical expertise alongside theoretical understanding. Graduates are prepared to pursue impactful roles in analytics, data science, and engineering across diverse industries, leveraging their advanced analytical capabilities.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This Master of Science in Data Analytics Engineering program equips students with the foundational knowledge and advanced skills necessary to excel in the field. The curriculum covers essential topics such as data management, probability and statistics, computation, visualization, data mining, and deterministic operations research. Students will also delve into algorithmic principles and have the opportunity to complete a master's project or thesis to apply their learning.

1 Core Requirements

Foundations for Data Analytics Engineering Compulsory
Engineering Probability and Statistics
Computation and Visualization for Analytics Compulsory
Data Management for Analytics Compulsory
Data Management and Database Design
Data Mining in Engineering Compulsory
Deterministic Operations Research Compulsory
Algorithms

2 Options

Master’s Project Compulsory
Master’s Project * Compulsory
Thesis Compulsory

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 30,864.00
Second Year Fee Tuition fee
USD 30,864.00
Total Program Cost Estimated total tuition
USD 61,728.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation
USD 1,500.00 - USD 2,000.00
Food & Groceries USD 4,200.00 - USD 6,000.00
Transport USD 1,200.00 - USD 1,800.00
Utilities & Bills USD 1,440.00 - USD 2,400.00
Estimated Total USD 6,840.00 - USD 10,200.00

Living cost estimates are based on Boston Campus.

Outcomes & Employability

What happens after you graduate

96%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Advertising TechnologyBroadband & Internet ServicesCorrections & RehabilitationDefense & Military SecurityDigital MarketingMedia Planning & BuyingNetworking & Internet ServicesPublic RelationsRegulatory & Government AffairsSocial Media & Community Management

Top Employers Hiring for this course

Amazon Web Services

General Dynamics Information Technology

Google

Microsoft

Why Study Data Analytics Engineering, MS at Northeastern University

What makes this program stand out

February 2027 Closing soon

Next intake is in February 2027

Moderate Application response time

Northeastern University typically responds to applications within 1 - 2 weeks, giving you clarity on your options quickly.

Life at Northeastern University in United States

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about Data Analytics Engineering, MS at Northeastern University

Can I work while studying?

International students can work up to 20 hours per week during term time and full-time during breaks. On-campus work does not require a separate permit.

What English language score do I need for this course?

English language proficiency is required for admission. Acceptable tests include Duolingo, TOEFL, IELTS, and PTE, each with specific score requirements.

What jobs can I get after studying this course?

Job titles include Data Analyst, Data Engineer, Business Intelligence Analyst, Statistician, and Operations Analyst.

What will I actually study in this course?

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

When can I start — what are the intake months?

The Master of Science in Data Analytics Engineering accepts students in February and September. This allows for flexible entry points for prospective students.
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