DEBUG: Raw major_slug = ""
DEBUG: Initial offers_url = "https://www.collegefactual.com/majors/computer-information-sciences/data-processing/offers.json", major_slug = ""
DEBUG: After cleaning major_slug = ""
DEBUG: Before URL cleaning = "https://www.collegefactual.com/majors/computer-information-sciences/data-processing/offers.json"
DEBUG: After TrimSuffix = "https://www.collegefactual.com/majors/computer-information-sciences/data-processing/offers.json"
DEBUG: After HTTPS placeholder = "HTTPS_TEMP_PLACEHOLDERwww.collegefactual.com/majors/computer-information-sciences/data-processing/offers.json"
DEBUG: After slash cleaning = "HTTPS_TEMP_PLACEHOLDERwww.collegefactual.com/majors/computer-information-sciences/data-processing/offers.json"
DEBUG: After URL cleaning = "https://www.collegefactual.com/majors/computer-information-sciences/data-processing/offers.json"
DEBUG: offers_url = https://www.collegefactual.com/majors/computer-information-sciences/data-processing/offers.json
DEBUG: major_slug = ""
DEBUG: offers_url is valid, proceeding to fetch data
DEBUG: offers_data.offers found, count = 9
DEBUG: Specific major detected (cip4 = 11.03), keeping min_relevance at 0.8
DEBUG: Starting relevance filtering - min_relevance = 0.8, max_relevance = 1
DEBUG: Checking offer "BS in Computer Science - Data Analysis" with relevance 0.8
DEBUG: ✓ Offer "BS in Computer Science - Data Analysis" ACCEPTED (relevance 0.8)
DEBUG: Checking offer "BS in Information Technologies - Data Analytics" with relevance 0.8
DEBUG: ✓ Offer "BS in Information Technologies - Data Analytics" ACCEPTED (relevance 0.8)
DEBUG: Checking offer "AS in Data Analytics" with relevance 0.7
DEBUG: ✗ Offer "AS in Data Analytics" REJECTED (relevance 0.7)
DEBUG: Checking offer "BS in Computer Information Systems" with relevance 0.7
DEBUG: ✗ Offer "BS in Computer Information Systems" REJECTED (relevance 0.7)
DEBUG: Checking offer "BS in Data Analytics" with relevance 0.7
DEBUG: ✗ Offer "BS in Data Analytics" REJECTED (relevance 0.7)
DEBUG: Checking offer "MS in Data Analytics" with relevance 0.7
DEBUG: ✗ Offer "MS in Data Analytics" REJECTED (relevance 0.7)
DEBUG: Checking offer "MS in Information Technology - Database Design" with relevance 0.7
DEBUG: ✗ Offer "MS in Information Technology - Database Design" REJECTED (relevance 0.7)
DEBUG: Checking offer "Science & Engineering Bachelors Programs (I Have a HS Diploma or Associate Degree)" with relevance 0.6
DEBUG: ✗ Offer "Science & Engineering Bachelors Programs (I Have a HS Diploma or Associate Degree)" REJECTED (relevance 0.6)
DEBUG: Checking offer "Science & Engineering Diploma Programs (I Have a HS Diploma or Associate Degree)" with relevance 0.6
DEBUG: ✗ Offer "Science & Engineering Diploma Programs (I Have a HS Diploma or Associate Degree)" REJECTED (relevance 0.6)
DEBUG: relevant_offers count = 2
DEBUG: relevant_offers > 0, checking for ESYOH offers
DEBUG: ESYOH filtering - found 0 ESYOH offers with relevance >= 0.8
DEBUG: esyoh_offers count = 0
DEBUG: No ESYOH offers, checking direct offers
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Featured Data Processing Programs
Learn about start dates, transferring credits, availability of financial aid, and more by contacting the universities below.
2026 Best Value Data Processing Schools in District of Columbia
Below are the schools that deliver the strongest value in data processing, balancing cost against outcomes.
Best Value Data Processing Schools
Leading the list is George Washington University, our #1 best value for data processing in District of Columbia. George Washington University is a very large private not-for-profit school located in the city of Washington. Expect in-state tuition and fees of around $67,710. Typical student debt for data processing graduates is $22,910. Soon after graduation, data processing degree recipients from George Washington University generally make around $73,749. That is a strong return on a $22,910 median debt. The acceptance rate is 47%.