Data Science

Campus Full Time

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Delivery

Campus

Study mode

Full Time

Starts

Fall, Spring

Introduction

Data Science is a program taught at Stevens Institute of Technology, USA. Intake: Fall, Spring. The program is offered in campus-based modes with full-time options.

The Ph. D. in Data Science at Stevens Institute of Technology is an interdisciplinary program across the Stevens School of Computing and the Stevens School of Business. Students master principles, methods, and systems for extracting insights from rich data sets. Faculty mentorship supports research that applies theories, techniques, and applications in practical data science.

Students study theoretical underpinnings of data science, including machine learning and artificial intelligence. They also work on applications of data science to financial services and to the life sciences. The curriculum includes mathematical and statistical modelling, machine learning and artificial intelligence applications, computational systems, and data management at scale, with research alongside Stevens faculty.

Admission Requirements

The minimum requirements for admission in Data Science at Stevens Institute of Technology for all applicants (Domestic or International) are:

program specific academic requirment set by Stevens Institute of Technology.
English Language OR any other language requirments as set by Stevens Institute of Technology as pre-requiste for admission in Data Science.

Note: Please check the university website in the link below.

We welcome applicants with a master’s degree in a technical discipline (such as computer science, business intelligence and analytics, financial analytics, financial engineering or biomedical engineering and chemical biology). However, exceptional applicants with a bachelor’s degree and relevant work experience will also be considered.

Prerequisite courses in calculus, statistics, probability, algebra and database management
Fluency in at least one programming language, like C++ or Java
Transcripts from all post-secondary institutions attended
Two letters of recommendation (academic or professional only; Select Ph. D. programs require a third letter of recommendation)
Statement of Purpose
$60 non-refundable Application Fee
Proof of English language proficiency
A competitive GRE or GMAT score (required)
Resume/CV
Writing sample(s). All applicants are encouraged to submit a lab report (preferable) or paper that they wrote, individually, for an engineering course. Applicants who have published a journal article are also encouraged to submit a copy of their article.