Computer Science, M.S., Data Science Concentration

Program Objectives

Data are everywhere. As companies and organizations go about their business and interact with individuals, they are generating a tremendous amount of digital data. Moreover more companies and organizations rely on these data for their routine business. This creates a high demand for professionals in data and business analytics and development with skills in database, data mining, machine learning, data analysis and visualizations, and probability and statistics.  
 
The data science concentration will provide an opportunity for the students in Computer Science who would like to pursue their career in data analysis. It will also open the door for those who are interested in working with data across a wide variety of disciplines such as business, education, medicine, finance, and many other fields. The Master’s Degree Program in Computer Science provides the opportunity for graduate students to obtain competitive skills and knowledge to succeed as computer scientists in the constantly developing high-technology market place.

Program Description

The Data Science concentration offers the opportunity for students pursuing the Master’s Degree Program in Computer Science (MSCS) to develop knowledge and skills in data analysis and visualization, database development, machine learning, and data mining. This concentration will  enhance competitiveness and technical knowledge, and prepares students for professional careers in the rapidly changing field of managing, mining, integrating, and analyzing big data across a wide array of areas such as business, medicine, bioinformatics, government, education, marketing, security, financial management, and many other fields.

Admissions Standards and Criteria

To apply for admission into the M.S. in Computer Science Program, Data Science Concentration, applicants must have an equivalent of 4-year bachelors degree. They must submit documentation as outlined in the graduate admissions section.

Depending on background, an applicant may be admitted into the graduate program and be required to complete undergraduate prerequisites as determined by the graduate program chair. Students are required to have sufficient background in both Probability and Statistics for Data Science and Database Design principles as foundational knowledge for this certificate program. This background will be gained by completion of the core courses.

Core Courses, 22 credits

• CSC 7011 - Computer Engineering
• CSC 7013 - Advanced Mathematics for Computer Scientists
• CSC 7014 - The Practice of Computer Programming
• CSC 7050 - Theory of Computation
• CSC 7132 - Operating Systems and Networking
• CSC 7400 - Object Oriented Analysis and Design
• CSC 8050 - Design and Analysis of Algorithms

Data Science Concentration, 12 credits

• CSC 7015 - Introduction to Data Science
• CSC 8008 - Data Exploration, Analytics, and Visualization
• CSC 8015 - Data Mining and Predictive Analytics
• CSC 8016 - Machine Learning for Data Science

Total for Degree, 34 credits