MS DATA SCIENCE ACADEMICS

Our program builds on the experience of participants and emphasizes the development of communication and presentation skills in a team-based data-driven economy environment. Interactive classes will ensure that you learn as much from your classmates as the faculty and course materials. Your coursework will conclude with a comprehensive real-world, industry-type capstone, oriented toward your domain of interest.

The MS Data Science curriculum encompasses all important aspects of data science, including:

• Mainstream computer programming for data science
• Statistical inference and decision modeling
• Big data management and analytics
• AI and Computational ML
• NLP and Text Analytics
• Predictive modeling and analytics
• Visualization and unstructured data analysis
• Data conscientiousness
• Ethics of data science

You will also learn in-demand skills that will prepare you for success in your data science career.

• Computer programming using various programming languages including Python, R, SQL, SAS, Java, JavaScript, Julia, Scala, MATLAB, TensorFlow, Go
• Data Wrangling – ability to acquire, transform, map, deal with data imperfections, cleanse, and prepare data from disparate sources for statistical analysis and decision modeling
• Using probability and statistics to explore and understand data
• Using multivariate calculus and linear algebra to build machine learning models
• Database management
• Data visualization and communication
• Machine Learning / Deep Learning
• Cloud computing – to provide access to databases, frameworks, programming languages, and operational tools