MSDA Program
Our Master of Science in Data Analytics program focuses on combining high-quality expertise in computer science with business analytic skills so that massive volumes of data may be visualized and analyzed to reveal emerging business trends. The data analytics degree also focuses on application of advanced data mining techniques to predict events important to the organization. The graduates of this innovative data analytics program will bridge gaps between accomplished business executives and the technological expertise that can help organizations derive value from data.
Participants in our program have the opportunity to pursue and explore electives in other areas of business.
Complete the seven core data analytics courses and then choose four elective courses in: Cloud Computing, Advanced Information Security Management, Digital Marketing, Evidence Based Management & Improvement in Healthcare, Healthcare Management, Health Informatics Research Methods, Simulation Modeling for Business, and additional substitute electives offered most semesters.
Complete a data analytics internship or a project.
Students who complete the data analytics program will:
- Understand the issues related to management of Big Data and apply Big Data analysis to real-life business problems.
- Learn ways of collecting and analyzing data from different data sources such as databases, flat files, web sites, web logs, blogs, and videos.
- Learn design and use of analytical databases through SQL queries.
- Demonstrate ability to perform effective data visualization and exploration by using state-of-the-art programming languages and tools, such as Python, R, Tableau, and D3.
- Be able to develop appropriate machine learning models for real-world problems, optimize the models learned and report on the expected accuracy that can be achieved by applying the models.
- Provide the theoretical and practical understanding of the key methods of data preparation, reduction and exploration that form the heart of analytics techniques for business decision making.
- Develop understanding of advanced data analytics and mining techniques to transform large and complex data into actionable information for the organization.
- Gain practical experience in applying knowledge and skills acquired throughout the program by internship and/or project.