Take the next step in your career at Washington, DC's first business school
Kogod's Master of Science in Analytics (MSAn) program gives you the data analysis skills you need to succeed in one of today's fastest growing career fields: business analytics.
Gain hands-on experience while you:
- Analyze real-world data during the MSAn capstone, partnering with local organizations such as DC United and Earth Networks to solve companies' business challenges.
- Network with leaders in the field who regularly attend class as guest speakers. Past speakers include the CEO of Primehook Technology and the Principal Data Scientist for Zocdoc.
- Find your own path by customizing the degree to your needs. Functional specializations are available in areas such as marketing, bio statistics and finance.
Zoe Pribula, MSAn '17
I wanted to keep learning and understanding what my best fit was.
Zoe Pribula, MSAn '17, enrolled in Kogod's MS Analytics program determined to find her professional self. It didn͛t take long—she received a job offer from IBM before the end of her first semester. "It's been exciting to discover how much more marketable I am with a master's degree from Kogod," she says.
Pribula encourages any aspiring IT manager or data analyst to apply to the program. She believes the MSAn prepares students to serve a crucial professional role—especially in the business world. "Analysts are so important because they help organizations make decisions from the data they collect," she says. "The program has taught me how to apply myself in an ever-changing technological world."
What sets Kogod's MS Analytics program apart?
MSAn students design their own degree paths, choosing from functional specializations such as marketing, bio statistics, and finance.
The MSaN capstone is the heart of the program. Students partner with local organizations, such as DC United and Earth Networks, to solve real-world business problems.
The Financial Services & Information Technology Lab provides the opportunity for students to get hands-on experience using the same technology that data professionals use every day.