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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
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