Data is an essential component of many industries, and creating meaningful insights from the information pulled from that data can lead to better processes and outcomes. If a professional is looking to advance their career in this field, the Master of Data Analytics & Applications will provide the knowledge base and expertise they need to construct data systems that improve efficiencies and profit margins for organizations.
Offered in collaboration between the McKelvey School of Engineering’s Sever Institute and the School of Continuing & Professional Studies (CAPS), this flexible online program will help working professionals acquire the skills they need to advance in a data-driven environment.
In this program, modern learners will acquire relevant and practical knowledge of the data analytics and applications field, improve critical thinking and communication skills, and develop the leadership acumen needed to be successful in demanding senior management roles.
Program Highlights
- Application submission to enrollment decision in 1 day.
- An inaugural class hand-picked by CAPS Dean Sean Armstrong and his team.
- WashU McKelvey School of Engineering and Sever Institute faculty.
- Comprehensive financial assistance options.
- A fully online program designed to be part-time for working professionals.
- Corporate partnership and hands-on experience are part of the program.
Fully Online Program
In this program, busy professionals receive a world-class, online experience in a flexible time frame, meeting their professional goals and personal lifestyles.
Who Should Apply?
- Experienced pros who wish to pursue advanced skills in data systems and management.
- Professionals working in information technology who wish to increase their skills in data analytics and applications.
- Modern learners seeking to make a career transition into the data analytics and applications fields.
Prerequisites:
Ideal candidates will have proficiency in statistics and programming. Bridge courses are available for students who need to acquire this background.
Program Course Work
6
Units of Bridge Courses (if needed)
21
Units of Required Courses
9
Units of Elective Requirements
Bridge Courses (if needed) – 6 units
- Foundations of Mathematics for Data Analytics & Applications
- Foundations of Programming for Data Analytics & Applications
Math and Programming Proficiency
Proficiency in 1) introductory statistics and linear algebra and 2) basic programming is required for admittance into the program. There are two introductory bridge courses covering these subject areas. Students who have earned a 3.0 GPA or better in introductory statistics and linear algebra and a programming course can have the two bridge courses waived.
Required Courses – 21 units
- Enterprise Data Management
- Analytics Applications
- Applied Data Analytics for Practitioners
- Data Engineering Foundations of Data Analytics
- Data Visualization and Storytelling
- Introduction to Relational Databases and SQL Programming
- Applied Machine Learning
Elective Requirements – 9 units
Choose from options such as:
- Applied Natural Language Processing
- Applications of Deep Neural Networks
- Applied Simulation Modeling
- Architectural Data Analytics Applications
- Special Topics in Data Analytics and Applications
- Applied Research Study
Application Requirements
Enrolling at CAPS
Contact a recruiter today.
Schedule time with a student recruiter today to find out how you can get the most out of your CAPS programs and courses.