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
Learn the theoretical knowledge and practical skills necessary to analyze big data for functional application in business and technology.
Demand for data scientists who can glean insights from the wealth of information made available through modern technologies to aid in informed decision-making is on the rise. The data science master’s program at Stevens instills the theoretical knowledge and practical skills required for dealing with the contemporary collection, exploration, analysis, and modeling of data along with the related challenges pertaining to inference and prediction.
This interdisciplinary program 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. Students will analyze complex data, including large scale databases, and apply state-of-the-art modeling and visualization techniques. They will participate in simulations of cyberattacks and create effective defense strategies, as well as study, in depth, the algorithms and optimization schemes underlying the latest business analytics methods.
The Stevens Advantage
Poised on the Hudson River, just 15 minutes away from downtown Manhattan, Stevens is located near the heart of one of the world’s biggest technology hubs. Proximity to New York City offers Stevens students recruitment opportunities with some of the biggest names in business and technology, including Google, Amazon, Microsoft and Bloomberg.
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…
William Aeberhard
William Aeberhard researches robust statistics, non- and semi-parametric methods, ecological applications, spatio-temporal modeling and computational statistics…
Shusen Wang
Shusen Wang researches Statistical machine learning, numerical optimization, randomized algorithms, and parallel computing.
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.