M.S. in Applied Data Science
The master of applied data science graduate degree program at Fisher provides a solid foundation in applied data science that equips you with essential data science skills for a variety of careers.
Data scientists reason sensibly about problems, basing their insights on deep explorations of data, and clearly communicate these insights to decision-makers. This combination of skills makes a data scientist an invaluable part of a decision-making team. Data scientists:
- Understand how to work with many types of data, taken from various sources.
- Thrive on real-world problems, link those problems to their data needs, and extract and work with the appropriate data.
- Communicate with stakeholders, both to understand the issues and to present results in a manner that can assist in decision-making.
- Implement new ways of exploring data, and keep an open mind that allows the data scientist to follow and transform data into actionable knowledge.
Graduate Breakfast Information Session
Take a Closer Look
Come learn about the graduate programs at Fisher over breakfast! Faculty and staff will be available to discuss program requirements and the application process.
Wednesday, June 27, 2018 at 8 a.m.
Golisano Gateway Midlevel
This graduate-level program is ideal if you are a recent graduate or if you are looking to bolster your career advancement prospects by adding data science skills to your existing skillset.
Designed for students who are interested in data science, but who do not possess highly quantitative backgrounds, the program is well-suited for individuals with a background in social sciences or business, as well as those who are interested in policy work and other data related careers.
The master's in applied data science exposes you early on to real-world data and situations. You will work under the guidance of faculty who are expert at working with the material, and who have experience at helping students learn all the skills needed to become an applied data scientist.
The program focuses on the needs of students who are interested in data science or have data science responsibilities as a growing part of their job requirements, but who may not come from strong quantitative backgrounds.
Courses are scheduled nights, weekends, and online to fit your work schedule, and you may choose how many courses you take each semester, allowing you the flexibility to balance your coursework with your other commitments. While most students will take 20 months to complete the program, you can complete the degree in as little as one calendar year.
Life After Fisher
You'll be prepared for meaningful employment in any number of jobs requiring data analysis, including:
- Government and Policy
- Health Care
- Technical Consulting
- Non-profit agencies