Data Science and Analytics-Computational Data Science (MS)

Data Science and Analytics-Computational Data Science (MS)

Become one of the experts that are answering the call for data mining and knowledge discovery (DM/KD) techniques within emerging technologies! This program will prepare you with the skills needed to analyze and understand the massive amounts of data generated daily.

Degrees To Build Your Career

Students learn computational skills and tools for data science to perform the full lifecycle of a data science project. From data cleansing, preprocessing and attribute selection or transformation algorithms to machine learning algorithms and how to deploy them to analyze data, build forecasting and classification models or perform unsupervised learning tasks. Then through the post processing and model evaluation phases, including stacking, boosting and aggregate modeling.

Experiential Learning

You will learn and use popular programming languages for data science projects such as Python and R and their data science libraries, various state-of-the-art data science toolboxes like TensorFlow for deep neural networks and Hadoop for distributed databases, and more.
You’ll then apply these skills through your capstone program. You also have the option to write a thesis under the supervision of faculty who are experts in the data science field.

Career Opportunities

Bradley’s graduate computational data science program prepares you to develop and apply tools that support the ever-changing data needs of today and tomorrow. You’ll graduate with the essential background, knowledge, and skills necessary to work as a data scientist or pursue a Ph.D. With applications in virtually every area of engineering, science, medicine, business and education, the techniques you learn are critical to economic management, wealth creation in commerce, and overall improvement of our lives and well-being.