Data Science with Machine Learning

Interested applicants are encouraged to submit their bootcamp application as early as possible as the Academy has a competitive process due to the number of applications that are received and limited seats that are offered.

The application process consists of three steps:

1. Applicants are required to submit an online application designed to help the Admissions team get a sense of each applicant’s educational and work background. Applicants are also asked to complete self-assessment questions about their familiarity and technical experience with various data science topics and tools. It should not take more than 10 to 15 minutes to complete the online application.
2. After the application is reviewed, the applicant will be contacted by a member of the Admissions team to schedule a video interview. This interview serves as a chance for both parties to understand better if the bootcamp program is the best fit for the background and goals of the applicant.
3. If advanced to the final step, the applicant is invited to complete a technical assessment. It contains technical challenges that determine the thought process and programming experience of the applicant. Each applicant has 48 hours to complete and submit the assessment. The team will then review and evaluate the responses and determine if the applicant is ready to join the bootcamp.

The Data Science with Machine Learning bootcamps offer a large set of tools and methods dominant in the data science field. Students not only learn the knowledge and skills for data analytics but also study supervised and unsupervised models of Machine Learning and other more advanced topics. Students also learn two programming languages in this program - R and Python.

While the curriculum for both online and in-person bootcamps are the same, the online bootcamp is designed to provide an interactive learning experience to students who prefer to learn online anytime, anywhere using any device.

To enroll in the bootcamp, applicants must possess a minimum of a Bachelor’s Degree. Degrees in Math, Science or Technology are highly desirable. However, applicants with strong domain knowledge in an area that employs data scientists, and some background in either coding or statistics, will also be considered.

Under exceptional circumstances, an applicant without a baccalaureate degree may be considered for admittance into the bootcamp, in which case the applicant must meet the following requirements:

• Proof of high school graduation
• Proof of exceptional talent in computer programming
• Evidence of domain knowledge in math and science
• Pass the Academy’s Technical Assessment with a B or higher grade
• Two letters of recommendation by relevant professionals

Our Immersive Data Science with Machine Learning program (In-person or Remote-live) is a full-time program. Students must be able to commit 40 hours or more to studying and doing homework and projects. The typical class schedule is 9:30 a.m. - 6:00 p.m. during the week, and students are expected to spend more time out of class to complete project work. For online instruction bootcamps, the time commitment varies based on the delivery mode chosen by students. Data Science with Machine Learning - Online offers full-time(16 weeks) and part-time (24 weeks) options.

Yes. NYC Data Science Academy has partnered with diverse companies from small startups to large corporations to help place our students in positions just right for them. But a job is not guaranteed. Our job placement assistance includes:

• Resume review, LinkedIn profile improvement, interview skills workshops
• In-class Industry Experts speaker series
• Hiring partner event series, including student presentations and a hiring partner networking gala party
• Mock technical interview and coding tasks
• Presentation of projects and networking with data science peers through our meetup events
• Real-world consulting project opportunities offered by hiring companies
• Company site visits
• Access to post-graduation resources

Yes. NYC Data Science Academy has partnered with diverse companies from small startups to large corporations to help place our students in positions just right for them. But a job is not guaranteed. Our job placement assistance includes:

• Resume review, LinkedIn profile improvement, interview skills workshops
• In-class Industry Experts speaker series
• Hiring partner event series, including student presentations and a hiring partner networking gala party
• Mock technical interview and coding tasks
• Presentation of projects and networking with data science peers through our meetup events
• Real-world consulting project opportunities offered by hiring companies
• Company site visits
• Access to post-graduation resources

A Complete Curriculum

The Online Data Science Bootcamp provides a comprehensive set of learning materials including lecture videos, slide decks, homework assignments with solutions and explanations, code reviews, jump-start sessions, and a selection of industry talks, online webinars and interactive meetups.

High Engagement and Completion Rate

Open online courses are often insufficient in acquiring a deeper understanding of challenging materials as the topics covered are usually elementary, with an average completion rate of 10%. Our online bootcamp ensures that students achieve the requisite level of mastery by progressing through our comprehensive set of learning materials.

Thorough Interaction and Support

We provide a combination of one-on-one tutoring and project mentoring through our dedicated meeting portal. Students can book up to 80 one-hour video meetings with leading data scientists from global companies.

Amazing Job Placement Assistance

Our career advisors work closely with every student to provide tailored support which includes coding reviews, interview preparation, resume workshops, and exclusive access to our hiring partner network.

We work with every student individually to get their skills up to a level where they can start the bootcamp. We offer customized pre-work packages for accepted students. If students have limited statistical and programming background, there are some books and online courses that we recommend. Also for students who are already in the New York City area, they can take part-time courses for free.

Funding opportunities are available through two different financing institutions: Ascent and Climb.

Ascent offers fixed interest rates on 3- and 5-year loans, regardless of current income, employment, or educational background. In addition to the cost of the program, they offer a living stipend up to $7,500 with tuition financing. 

Climb Credit offers fixed interest rate loans for both immersive and bundled part-time courses. Financing is available for various types of credit, including students with no credit. 95% of applicants will receive an instant decision after completing Climb's quick 5-minute application. International students are welcome to apply with a qualified co-borrower who is either a US citizen or permanent resident. Living expense stipends are also offered to those who qualify. 

Information for either can be found on their respective sites.

The tuition for Data Science with Machine Learning or Data Science with Machine Learning - Online is $17,600. The tuition for Data Analytics Bootcamp - Online is $9,995. A deposit of $5,000 is required after acceptance to secure your spot.

Yes, you can find the details here.

Yes! We have had a few international students in our bootcamp. There are a few things you should keep in mind: We do not provide visas, our international students have all come here on traveler visas or valid student visas; We do not guarantee a job for international students, as getting a job and working visa in the U.S. purely depends on potential employer's preference as well as the U.S. immigration policy; You should also be aware that the opportunities to get job and working visa in the U.S. with a non-U.S. degree are very few; As for hiring partnerships, we have a limited number of relationships outside of the U.S. but we are committed to helping you find a job where ever that may be.

Unfortunately we do not provide visas.

For more questions, visit our frequently asked questions page or schedule a call with us. with our admissions team.