Camp · STEM · Ages 16–18
▌ STEM · Ages 16–18

Data Science in Action: Machine learning for self-driving cars

Harvard T.H. Chan School of Public Health

A two-week program for high school students to explore data science and machine learning applications in self-driving

▌ Editor's read The website for 'Data Science in Action: Machine learning for self-driving cars' loads successfully and describes a summer program for high school students, hosted by the Harvard T.H. Chan School of Public Health. The program is a day camp, running for two weeks, and focuses on data science, machine learning, and their applications, such as in self-driving cars. It is designed to provide hands-on experience and exposure to university-level research. The program is offered by a university, specifically Harvard, indicating a strong academic foundation. There is no mention of ACA accreditation, state licensing, or specific staff-to-camper ratios on the program's webpage. The Harvard T.H. Chan School of Public Health has a Facebook page (HarvardPublicHealth), but no specific Instagram handle for this program was found. Google reviews for the specific program are not available, but Harvard University generally holds a high reputation.
University programRun by an academic institution

Who thrives here Ages 16–18

Data Science in Action: Machine learning for self-driving cars serves high-school campers, which means the program is competing against summer jobs, college visits, internships, and residential overnight options. The case for a day camp at this age is usually a CIT (counselor-in-training) track, deep specialization in stem, or a portfolio item parents and kids both value. Programs that don't articulate one of those three usually lose this age band by 9th grade.

Facts & Credentials

Program type
Day camp
ACA accredited
Not verified
Established
Not listed
Operator
University program
Staff-to-camper ratio
Not listed

How we verify these →

Details

  • Category: STEM
  • Ages: 16–18
  • Hours: Day camp
  • Address: Countway Library, 10 Shattuck St, Boston, MA 02115, USA
  • Phone: 617-432-1000
  • Email: [email protected]

Logistics

  • Lunch provided: No
  • Transportation: No
  • Financial aid: No
  • Setting: mixed

Frequently asked about Data Science in Action: Machine learning for self-driving cars

What ages does Data Science in Action: Machine learning for self-driving cars accept?
Data Science in Action: Machine learning for self-driving cars is open to children ages 16–18. Camps publish their own age cutoffs, and some run mixed-age groups internally; check the registration page for that summer's grouping if your child sits at a boundary.
What are Data Science in Action: Machine learning for self-driving cars's hours?
Data Science in Action: Machine learning for self-driving cars runs Day camp. If those hours don't quite cover your work day, check whether extended care or early drop-off is offered separately.
Who runs Data Science in Action: Machine learning for self-driving cars?
Data Science in Action: Machine learning for self-driving cars is operated by a university program. The operator type matters for tuition policy (refunds, financial aid eligibility) and for what kind of staff training pipeline the camp uses.
Does Data Science in Action: Machine learning for self-driving cars provide lunch?
Data Science in Action: Machine learning for self-driving cars does not include lunch — campers bring their own. Most day camps without provided lunch are nut-free or nut-aware, so check the allergy policy before packing. Frozen water bottles double as ice packs and drinks; insulated lunch boxes hold below 40°F for about four hours.
How does Data Science in Action: Machine learning for self-driving cars compare to other stem camps in Boston?
Data Science in Action: Machine learning for self-driving cars is one of 10 stem camps in Boston that overlap its age range. The differentiation between options usually comes down to four factors: weekly price, day length, indoor/outdoor balance, and group size. Browse same-city alternatives in the directory to compare side by side.

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