What types of students enroll in the Level program?
There is no typical background for a Level student, and that diversity creates cohorts made up of students that each bring something unique to the classroom. Almost all students have a bachelor’s or master’s and some work experience. The values that Level students share are a can-do attitude, an analytical mindset, and professionalism. You can learn more about some of our graduates here
What are the admissions criteria/prerequisites?
We generally require that students have graduated college with a 3.0 GPA, and have a working knowledge of probability and statistics or equivalent experience in an analytical field.
How does the application process work?
There is a 15 minute online application
. Once you complete the application, we will reach out to schedule a phone interview and follow up with a technical aptitude test.
How much does the bootcamp cost?
Tuition for the full-time and hybrid versions of the data analytics bootcamp is $7,995.
How does the cost compare to other bootcamps?
You can find a cost comparison on data analytics bootcamps here
Are there scholarships?
Partial scholarships are available on a merit and need basis, as well as for underrepresented groups, veterans, and Northeastern alumni. Scholarships are determined following your application and interview, and there is no separate application
What is the difference between the full-time and hybrid program?
Both versions teach to the same learning objectives and curriculum, include an industry-sponsored capstone project, and confer the same certificate. The only difference is the format. The full-time program is in-person for two months, every weekday from 9 to 5. The 20-week hybrid program is designed to fit the working professional’s schedule, with 10-15 hours/week of online coursework done at your own pace, as well as one weekly in-person evening class and five weekend classes.
What is a typical day in Level’s full-time program?
The full-time program days are typically split between morning lectures and afternoon labs. Afternoon labs are based on practical applications, case studies, and group projects. Throughout the program there are frequent guest lecturers and industry panelists on relevant analytics topics.
Where are the campuses located?
- Boston: Financial District, 89 Broad Street, Boston, MA 02110
- Charlotte: Uptown, 101 N Tryon St, Charlotte, NC, 28202
- Seattle: South Lake Union, 401 Terry Avenue North, Seattle, WA 98109
- Silicon Valley: San Jose, 6024 Silver Creek Valley Road, San Jose, CA 95138
Curriculum & Capstone Project
What topics does Level cover?
The curriculum was informed by industry feedback from Fortune 500 companies such as Humana and small and medium-sized businesses such as Burning Glass Technologies. The Wall Street Journal acknowledged our data-driven approach in developing this program in an April 2016 article
What is the capstone project?
Can I do a Capstone Project with my current employer?
How will Level help me meet and learn from companies?
Beyond the capstone projects, Level guest lectures and panelists will provide opportunities to network and understand how different companies use data to drive decision making.
Who are Level’s employer partners?
Employers who have worked with Level include Starbucks, Nordstrom, MITx, Merck, Care.com, Citizen’s Bank, Red Ventures, Rue La La, Avalara, and Amazon.
What kind of career support does the Level program provide?
Level students have access to Northeastern University’s career services, which is ranked one of the best in the nation by Princeton Review
. Level career services include:
- Career coach to help you set and achieve your professional goals
- Proactive job search tools such as resume review and interview preparation throughout the program
- Access to employer projects and experiential learning
- Level professional development days including hiring tests and informational interviews from employers
- Post-graduation support and follow-up
What kind of careers do students have post-Level?
The careers that Level students go into depend on their past experience and the industry that they are interested in. Here
are a few examples of types of roles that Level students have gone into.
What is the difference between a data analyst and data scientist?
A data analyst generally uses data to make business decisions, whereas a data scientist looks at open-ended questions in data. You can read more on the distinction here
Should a student disenroll from the program, they will be eligible for 100% refund minus deposit if it is within the first quarter of their program.