Master of Science in Data Analytics
The Master of Science in Data Analytics offered by the Department of Applied Data Science is a comprehensive program designed in collaboration with industry experts to prepare students for careers in data analytics. The curriculum includes:
- Processing and analyzing data from multiple sources.
- Building data pipelines.
- Extracting insights.
- Developing full-stack solutions.
By leveraging data engineering, applied data science and analytical skills, students learn to tackle practical problems comprehensively from start to finish.
The program welcomes students from diverse educational backgrounds and focuses on providing the skills necessary to address real-world challenges using advanced data analytics tools and techniques.
Program Snapshot
Program Overview
- Industry-Relevant Curriculum: The program covers the entire data analytics lifecycle, including identifying specific problems, defining requirements and applying advanced technologies such as machine learning and data mining.
- Project-Based Learning: Students engage in projects that combine domain-specific knowledge with state-of-the-art technologies, enhancing their skills in data exploration, preparation, visualization and governance.
- Real-World Applications: Graduates develop and validate analytics systems tailored to meet the objectives of various organizations, making them valuable assets in the growing field of data analytics.
Career Opportunities
According to the Bureau of Labor Statistics, Computer and Information Research Scientist careers are growing at a rate of 21 percent, much faster than the average for other careers, which is between 5 to 8 percent. Graduates of this program attain professional roles such as:
- Business Intelligence Analyst
- Data Analyst
- Data Engineer
- Data Scientist
- Information Research Scientist
- Machine Learning Engineer
MSDA program alumni often experience rapid career growth, advancing to senior roles within a few years of graduation. The program’s emphasis on leadership and communication skills, in addition to technical expertise, prepares graduates to take on managerial and executive positions.
Program Features
- STEM Degree Program: Classified as a Science, Technology, Engineering and Math (STEM) degree program and meets course requirements for F-1 visa holders.
- Expert Faculty: Learn from industry experts and academic faculty who offer a range of data analytics knowledge and skills.
- Flexibility: Our program is offered in both Regular and Special Sessions. The Regular Session follows a traditional academic calendar, while the Special Session provides a more flexible schedule. Both Regular and Special Session students are held to the same academic standards and receive the same diploma upon graduation.
