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Master of Science in Computer Science: Data Science

Overview

Machine Learning, Artificial Intelligence, Big Data, Data Mining, Neural Networks, Generative Models (ChatGPT) are all a part of Data Science.

Data Scientists don't just learn how to use Machine Learning and Artificial Intelligence tools, they build the models and solve problems by building their own tools.

The Masters in Science in Computer Science: Data Science program is a STEM-designated program designed to equip students with the skills and knowledge necessary to analyze, interpret, and manage complex data.  Students will gain expertise in statistical analysis, machine learning, artificial intelligence, programming and data management, preparing them for a wide range of careers in industries where data-driven decision-making is essential.  This is a technical degree, you will learn to write the code, build the models and do a deep dive into Data Science.

Career Opportunities

Due to the rise of tools like ChatGPT, Gemini, CoPilot and others Data Scientist have been in high demand. ().  With the demand for data scientists growing across industries, graduates can pursue roles such as Data Scientist, Data Analyst, Machine Learning Engineer, and Business Intelligence Analyst, among others. 

Program Objectives

  • Core Competencies: Students will learn the principles of data collection, cleaning, and transformation, building foundational skills in programming (Python, R) and statistical techniques.
  • Analytical Skills: The curriculum emphasizes critical thinking and analytical skills, enabling students to derive actionable insights from large data sets.
  • Model Construction: Students will build their own Machine Learning and AI models to solve problems.
  • Ethics & Communication: Courses on data ethics, privacy, and data-driven communication prepare students to navigate the social implications of data science and present findings effectively to stake