The Master’s in Data Science at Drew is designed to prepare students for the increasing demand for data professionals in various sectors like social networks, healthcare, and business. The program emphasizes obtaining, preparing, and managing data from multiple sources, mastering analytical techniques, and applying these skills through projects and internships. Students focus on statistics, data science, and programming, gaining practical experience with a portfolio of work. The program aims to equip students with the skills to uncover stories hidden in data and make impactful decisions based on their insights.
Why this course is highly recommended
In today’s digital world, data science professions are in high demand with fast-growing job opportunities. The program’s structure, which combines statistical, computational, and practical skills, prepares students for roles such as data scientists, analysts, and system developers. The program’s emphasis on experiential learning, internships, and project portfolios makes it ideal for students aiming to excel in the data-driven workforce.
The program offers specialisation through coursework and certificates in areas like Statistics, Data Science, and Business Analytics. Students can also design their own program in consultation with the program director, tailoring their focus to their career goals.
Application fees
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1st year tuition fees
29.61L
Living cost
The Master’s program requires 30-36 credits and is offered as a one-year full-time or a two-year part-time program starting in Fall or Spring. Core coursework includes foundational courses and specialized classes in statistics, programming, and data science topics, culminating in an internship and capstone project.

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and acceptance rates for international students? Visit the Drew University admission page
for complete details.
Graduates can expect roles such as data scientists, analysts, data engineers, and business intelligence developers. Salary prospects are promising, with average salaries upwards of $78,000 and an expected job growth of up to 28%, reflecting the expanding need for data expertise across industries.