MSDS Overview
The MS is Data Science online program at the Stevens Institute of Technology prepares students for careers in fintech, business intelligence and analytics, academia, and database management, as well as government positions requiring strong skills in data analysis.
Program Details
In-Demand Career Prep
Learn from Recognized Leaders
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U.S. Bureau of Labor Statistics reports that the demand for data science skills will drive a 27.9% rise in employment in the field through 2026
At Stevens, we put our strengths behind your career.
Career Opportunities
- Data Scientist
- Data Analyst
- Statistician
- Network Engineer
- AI Research Scientist
- Data Analytics Specialist
The Stevens Career Center is dedicated to helping students succeed in obtaining employment or continuing their education as appropriate to their career objectives and personal goals.
Top Hiring Organizations
- Amazon
- Bank of America
- New York University
- Citiblock Health
- Disney Streaming Services
- Two Sigma Investments
Faculty
Stevens' math department boasts one of the top algorithmic and geometric group theory teams in the world, with distinguished experts in stochastic optimization and cryptography.
Darinka Dentcheva
Professor and Chair of the Department of Mathematical Sciences
Darinka Dentcheva is the Professor and Chair of the Department of Mathematical Sciences as well as an acclaimed researcher in stochastic optimization and control using mathematical models of risk and their applications.
Michael Zabarankin
Associate Professor
Michael Zabarankin researches risk management and optimal control, continuous and discrete optimization, mathematical physics and variational principles.
Rizos Sklinos
Lecturer
Rizos Sklinos is a visiting associate professor who’s research includes; geometric group theory, model theory, and data science (statistical learning theory).
Shusen Wang
Assistant Professor
Shusen Wang researches statistical machine learning, numerical optimization, randomized algorithms, and parallel computing.
Coursework
Students will engage in the coursework on the following topics to develop skills as data scientists who can glean insights and aid in informed decision-making:
- Python and R
- SQL
- Hadoop
- Hive
- TensorFlow
- Machine learning
- Deep learning
- Predictive modeling
- Advanced statistical and optimization methods
- Supervised/unsupervised learning
- Neural networks
- Natural language processing (NLP)
- Data visualization
Program Admission Requirements
Bachelor’s degree
Minimum GPA of 3.0, from an accredited institution
Official college transcripts
Two letters of recommendation
TOEFL/IELTS scores
For international students
Statement of Purpose
Optional but strongly recommended
Resume
Optional but strongly recommended
TEST SCORE ACCOMMODATIONS DURING THE NOVEL CORONAVIRUS OUTBREAK
Due to the impacts of the coronavirus (COVID-19) on testing centers in China and elsewhere, Stevens has made the following accommodations available to all students for the fall 2020 admissions cycle:
- IELTS/TOEFL: Affected applicants may submit Duolingo English Test (DET) results in lieu of TOFEL/IELTS exam results.
Tuition & Cost
Application fee waivers are available for the following applicants: corporate partners, alumni, Stevens’ employees, current Stevens’ students, and veterans.
$1,652
Per Credit (30 Credits)
$60
Application Fee - Speak to an enrollment advisor about available fee waivers
$250
Enrollment Deposit
- October 12, 2020
- Early Submit
Application fee waiver
- November 23, 2020
- Priority Submit
Application fee waiver
- December 22, 2020
- Final Submit
Final application deadline
- January 19, 2021
- Classes Start
Spring 2021 Cohort