- 9 credits
- One–three semesters
Analyze and Interpret Astronomical Volumes of Data Produced by Modern Telescopes
Astronomical and Astrophysical observations have entered an era where the data collected by telescopes are undergoing dramatic growth in size. The on-campus graduate certificate Big Data Statistics in Astrophysics introduces the tools, methods, and conceptual approaches used for dealing with the increasing complexity of data observation.
Who is This Certificate For?
This certificate is for qualified professionals who want to enhance their skill set and can be a foundation to continue toward a graduate degree. It is also valuable for degree-seeking students looking to develop a concentration that gives them an edge in their career path.
What You Need to Know
The graduate certificate Big Data Statistics in Astrophysics lets students develop a foundation of statistical analysis, data mining, and machine learning. Understand how to implement algorithms; use databases to manage the data; and learn from the data with machine learning tools. Develop and implement new machine learning methods for problems in astrophysics. Based on these skills, explore applications of statistical techniques and machine learning tools to analyze and interpret astrophysical data.
There are no prerequisites to enroll in this certificate program. See complete admissions requirements.
Michigan Tech Bachelor's + 1 Semester = Accelerated Graduate Certificate
Current Michigan Tech undergraduates or recent alumni, get started right away. Our accelerated graduate certificates are a fast, affordable way to add graduate credentials to your bachelor's degree in as little as one semester. Be more marketable in your industry or prepare for your master's degree. Explore accelerated certificate options.
This graduate certificate requires a minimum of 9 total credits. Students may apply the credits earned for this certificate toward a graduate degree at Michigan Tech.