MS in Data Analytics Engineering, George Mason University

Fairfax, Virginia

24 Months

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About this course

The Masters in Data Analytics Engineering is designed to give students an understanding of the technologies and methodologies needed for data-driven decision-making. It covers topics like data mining, information technology, statistical models, predictive analytics, optimization, risk analysis, and data visualization. The program aims to prepare students for roles as data scientists and analysts across various fields such as finance, marketing, operations, and business intelligence. Beyond these, it also offers concentrations in digital forensics, financial engineering, and business analytics, making it versatile for different data-intensive careers.

Why this course is highly recommended

This course is ideal for students aiming to become professionals in data science or analytics, especially with its interdisciplinary approach combining statistical science, computer science, and systems analytics. It also benefits those interested in deploying data strategies to predict social trends and climate-related factors, supported by Mason’s strength in sociological research, IT, and global studies.

Specialisation

The program provides specializations in areas like digital forensics, financial engineering, and business analytics, tailored for students interested in niche fields within data analytics engineering.

Course fees

Application fees

NaNL

1st year tuition fees

Living cost

Degree requirements

Candidates should hold a baccalaureate degree from a regionally accredited program with a GPA of 3.00 or higher in their top 60 credits. While a background in engineering, business, computer science, statistics, mathematics, or IT is desirable, strong work experience in data or analytics may also be sufficient. Applicants must submit recommendations, a résumé, a statement of career goals, a self-evaluation form, and proof of English proficiency if applicable. Find detailed requirements in the university catalog.

English language test

DUOLINGO

TOEFL

PTE

IELTS

6.5

Career prospects

Graduates can pursue roles such as data scientists, engineers, or analysts. The program's interdisciplinary approach prepares students to work in sectors like finance, marketing, operations, and social or environmental research, especially in fields involving large data sets used for predicting consumer behavior, social trends, disease threats, and climate impact.

FAQs

Can the degree be completed online?

Yes, the program is available in a flexible online format and can be completed in as few as 2 years.

What are the admission requirements?

Applicants need a bachelor's degree with a GPA of 3.00 or above, two recommendation letters, a résumé, a career statement, a self-evaluation form, and proof of English proficiency if applicable.