I chose Stevens because the curriculum designed by the Directors and the Chair cover good basics.
They also help the student to understand the importance of data and its patterns.
Data Science Master's Program
Data drives almost every aspect of our lives—and the demand for people who can gather, analyze and interpret that data has never been higher. Prepare to excel in this lucrative field with a data science master’s degree from Stevens.
Stevens’ data science master’s program fuses theoretical knowledge with practical skills applicable to careers in financial tech, business intelligence and analytics, academia, database management, government, cybersecurity and more. Our students learn to analyze complex data—including large-scale databases—and use state-of-the art modeling and visualization techniques to support the data-driven decision making for organizations of all types and sizes. Recent Stevens data science master’s graduates have been recruited by top companies like Amazon, Bank of America and Disney.
The Stevens Advantage
The Stevens data science master’s program is customizable to meet the needs of busy professionals, offering a fully online option. Located just 15 minutes from Manhattan’s global commerce hub, Stevens opens doors to networking and recruitment opportunities with global technology heavyweights like Google, Microsoft and Bloomberg, as well as some of the world’s largest banks and financial institutions.
What Students Are Saying
This is the course for someone who loves building mathematical models and tests on given data.
We can work with heavy datasets and image datasets, and help in solving real world problems such as forecasting the weather or classifying the given financial transaction as fraudulent or not.
Baby Vilikala, Data Science '21
During pandemic, the faculty were supportive. They give me a chance to do real time projects and clarify the doubts.
There were some challenges, but the dean of our department supported me in completing assignments and final projects—pointing to a variety of useful resources.
Baby Vilikala, Data Science '21
I could use AWS cloud technology, machine learning and statistical techniques implemented for the final projects. This program gives good exposure to the techniques implemented in real world projects.
Assignments and final projects are relevant to the real world projects. Student can gain a better understanding of working models.
Baby Vilikala, Data Science '21
I loved the structured way of teaching courses step by step.
I improved my communication skills through teamwork and learned the importance of taking ownership for the program's happening in graduate school.
Baby Vilikala, Data Science '21
The environment at Stevens Institute of Technology is a diverse and I have met a lot of people with different backgrounds.
My graduate studies experience is worth embracing. It can be summed up in three simple words: research, networking and leadership.
Baby Vilikala, Data Science '21
There is a saying: "Learn more so that you can travel a lot."
Graduate studies has proved that point to me. One can travel to have these awesome experiences.
Baby Vilikala, Data Science '21
I landed a couple of jobs, namely, Graduate student Ambassador and Graduate Teaching Assistant, due to the network I have in graduate school.
This clearly says staying abreast of technology, good friendship, and healthy habits can take you to the next best level in life always.
Baby Vilikala, Data Science '21
It’s good for a student if they have relative experience working for Retail, healthcare or Financial data. Appreciate to have relevant real world experience before applying to graduate studies.
With business understanding, right problems can be solved using Machine Learning or Statistical techniques.
Baby Vilikala, Data Science '21
Stevens’ World-Class 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
Darinka Dentcheva is a revered researcher in stochastic optimization and control using mathematical models of risk and their applications.
Michael Zabarankin
Michael Zabarankin researches risk management and optimal control, continuous and discrete optimization, mathematical physics and variational principles…
Data Science Research
Stevens is a Premier Research Institution
The Department of Mathematical Sciences focuses its research around stochastic systems and optimization as well as algebraic cryptography. New methods in these areas have extensive implications for predictive modeling across a wide range of disciplines.