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How much does Material Science earn?

Android app from Engineering Wale Baba · Education

ML forecast ★ 4.0 · 200 Free

~246/mo

ML revenue forecast. Calibrated against 120891 apps in this category.

Confidence band
±15%
High — many comparable apps with verified data

At a glance

What the app looks like

Live screenshots from the Play Store, captured by our snapshot worker. Tap any image to enlarge.

Material Science screenshot 1 Material Science screenshot 2 Material Science screenshot 3 Material Science screenshot 4

Material Science's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where Material Science sits in Education

Revenue distribution of 120891 comparable apps. Material Science highlighted.

Material Science vs comparable apps

Revenue trajectory side-by-side. Bold = Material Science, ghosted = peers.

App spec

Version
Varies with device
Launched
Dec 23, 2015
Price
Free
Monetization
Free

What Material Science actually does (from store listing)

Material Science: This App has 143 topics with detailed notes, diagrams, equations, formulas & course material, the topics are listed in chapters. The app is must have for all the engineering science students & professionals. The app is a complete free handbook of Material Science which covers important all topics with detailed notes, diagrams, equations, formulas & course material. The App is designed for quick learning, revisions, references at the time of exams and interviews. T…
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Comparable Android apps

The five apps in Education with the closest revenue to Material Science. Click any to see its detail page.

AppRevenueRatingRatings
서울사이버대학교-학부 학생, 대학원 학생,교수,직원 icon 서울사이버대학교-학부 학생, 대학원 학생,교수,직원 246 0
SIUE icon SIUE 246 ★ 4.4 185
Haryana GK Mock Test: HSSC GK icon Haryana GK Mock Test: HSSC GK 246 0
INNOVATION MATHEMATICS icon INNOVATION MATHEMATICS 246 0
Data Structure Monograph icon Data Structure Monograph 246 0
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How we calculated this

Each forecast combines App Store rating, ratings count, monetisation model, pricing tier, IAP signals and ad-supported flag. The base estimate is then multiplied by a per-category scaling factor learned from apps with founder-verified MRR. Every number on this page comes from public APIs and bumetric's own snapshot history.

Full methodology covers input variables, accuracy bands per category and how we treat apps without comparable anchors. See also the live data on Material Science's tracker page for current rating, reviews and snapshot timeline.

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