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Ryugaku Jinja provides decision support and data references. Confirm eligibility, application requirements, and final decisions against current official sources.

Data references: KAKEN · CiNii · researchmap · official university and institutional sites© 2026 Ryugaku Jinja
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Undergraduate school ladder

Undergraduate school ladder: Tsukuba as the primary recommendation

This static example for a fictional information-engineering applicant shows all nine frozen candidates. The University of Tsukuba is the primary recommendation; the others form challenge, steady, and lower-reference comparisons across region, school kind, and specialist focus. It keeps official undergraduate fit, reference tier, regional preference, and in-database academic coverage separate; it does not forecast admission.

  1. 1This runInformation engineering, an Upper National anchor, and Tokyo/Kanagawa as soft preferences; EJU/JLPT remain student-snapshot context only.
  2. 2Why this is primaryRead official undergraduate fit and target tier first; then use region and in-database faculty coverage as comparable tradeoffs, never as admission scores.
  3. 3Action boundaryReturn to each year's official guide to verify subjects, score/language requirements, intake, track structure, and commute conditions.

Filter these candidates

Showing 9 of 9 schools
Location
School kind

Information Eng. school ladder

9 schools

Anchored on target tier: 上位国立 (this group = target reference, higher = upper reference, lower = lower reference)

Target fields
Information Eng.
Anchored tier
上位国立
Target degree
学部
Preferred regions
Kanto
Scores used
EJU Japanese reading + listening 315/400 · EJU Math 155 · JLPT N2

How this ladder is built

Band spread
234
Upper 2Target 3Lower 4
School kinds
National 7 · Private 2
Regions
Tohoku 1 · Kanto 6 · Tokai 1 · Kansai 1

Check the balance of this school mix

This reviews portfolio structure and evidence coverage, not admission probability.

Band coverage
3 of 3 bands
Preferred region
4 of 9
School-kind mix
2 kinds
Evidence coverage
9 of 9
View sources and dates for this run

Sources by information type

School identity and location
MEXT national university list and official university sitesAs of FY2024
Tier and hensachi reference
In-house editorial dataset for comparison; not an official university figureAs of 2026-06-11
Academic evidence
Professor database drawing on KAKEN, CiNii, researchmap, and official faculty pagesAs of 2026-08

The G30 / English-program flag has no traceable source, so it is not used for filtering, banding, or comparison here.

Upper reference (冲)2
The catalog reference tier is above your target range; this is not an admission probability.
東北大学National工学部 電気情報物理工学科
Upper
Hensachi 62–68est.旧帝大A宮城県情報工学
Target tierAbove target rangeField matchDirect official-field matchRegion preferenceOutside preferred regionAcademic evidence184 professors linked
⌖Registered university locationTohoku · Miyagi · 仙台市Open map
This school in this fieldCounted under “情報学・計算機科学”

184 faculty on record

Common methodsmachine learning33Neural Network28Deep Learning26
名古屋大学National情報学部 コンピュータ科学科
Upper
Hensachi 63–69est.旧帝大A愛知県情報工学
Target tierAbove target rangeField matchDirect official-field matchRegion preferenceOutside preferred regionAcademic evidence164 professors linked
⌖Registered university locationTokai · Aichi · 名古屋市Open map
This school in this fieldCounted under “情報学・計算機科学”

164 faculty on record

Common methodsDeep Learning31machine learning28Neural Network28
Target reference (稳)3
The catalog reference tier falls within your target range
横浜国立大学National理工学部 数物・電子情報系学科
Target
Hensachi 60–65est.上位国立B神奈川県情報工学
Target tierWithin target rangeField matchDirect official-field matchRegion preferenceMatches preferred regionAcademic evidence76 professors linked
⌖Registered university locationKanto · Kanagawa · 横浜市Open map
This school in this fieldCounted under “情報学・計算機科学”

76 faculty on record

Common methodsDeep Learning6Spectroscopic observation6Mass spectrometry5
神戸大学National工学部 情報知能工学科
Target
Hensachi 60–67est.上位国立B兵庫県情報工学
Target tierWithin target rangeField matchDirect official-field matchRegion preferenceOutside preferred regionAcademic evidence73 professors linked
⌖Registered university locationKansai · Hyogo · 神戸市Open map
This school in this fieldCounted under “情報学・計算機科学”

73 faculty on record

Common methodsDeep Learning16machine learning13Neural Network10
筑波大学National情報学群 情報科学類
Target
Hensachi 58–65est.上位国立B茨城県情報工学
Target tierWithin target rangeField matchDirect official-field matchRegion preferenceOutside preferred regionAcademic evidence275 professors linked
⌖Registered university locationKanto · Ibaraki · つくば市Open map
This school in this fieldCounted under “情報学・計算機科学”

275 faculty on record

Common methodsDeep Learning57machine learning52Neural Network37

Why it is in this band

Primary recommendation. It meets three visible conditions at once: it sits in this run's Upper National anchor, its information-science track is a direct official-field match, and 275 professors are linked under Informatics and Computer Science—the deepest coverage in this mix. Its hensachi reference band is 58–65. The tradeoff is explicit: Ibaraki is outside the Tokyo/Kanagawa preference. The sample's EJU 315, Mathematics 155, and JLPT N2 are only a student snapshot; they cannot substitute for that year's subjects, thresholds, selection method, or commute check.

Four decision factors

Target tier
Within target rangeIts site reference tier falls within your selected target range.
Field match
Direct official-field matchThe undergraduate unit's official field classification directly matches your selection.
Region preference
Outside preferred regionField and tier signals kept it in the list, but its registered prefecture is outside your preferred region.
Academic evidence
275 professors linkedYou can also compare commonly used methods in this field. The count reflects database coverage only.

Matched undergraduate units

情報学群 情報科学類

These are units matched by the site's field search. Check the university record for curricula and track structure.

Tradeoffs in the mix

  • Its academic evidence is easier to compare, but the location falls outside your preference.

What to watch

  • Field and tier signals kept it in the list, but its registered prefecture is outside your preferred region.

Verify current-year details

The ladder does not restate eligibility, dates, documents, selection methods, tuition, or scholarships. Check the official guidelines for the application year.

Open the school website to find this year's application guidelinesCheck current guidelines
Lower reference (保)4
The catalog reference tier is below your target range; this does not guarantee admission.
東京理科大学Private創域理工学部 情報計算科学科
Lower
Hensachi 57–65est.早慶上理B東京都情報工学
Target tierBelow target rangeField matchDirect official-field matchRegion preferenceMatches preferred regionAcademic evidence87 professors linked
⌖Registered university locationKanto · Tokyo · 新宿区Open map
This school in this fieldCounted under “情報学・計算機科学”

87 faculty on record

Common methodsDeep Learning20machine learning19Neural Network8
千葉大学National情報・データサイエンス学部 情報・データサイエンス学科
Lower
Hensachi 57–65est.金岡千広B千葉県情報工学
Target tierBelow target rangeField matchDirect official-field matchRegion preferenceOutside preferred regionAcademic evidence7 professors linked
⌖Registered university locationKanto · Chiba · 千葉市Open map
This school in this fieldCounted under “情報学・計算機科学”

7 faculty on record

Common methodsDeep Learning2Benchmark Evaluation1machine learning1
明治大学Private理工学部 情報科学科
Lower
Hensachi 52–62est.GMARCHC東京都情報工学
Target tierBelow target rangeField matchDirect official-field matchRegion preferenceMatches preferred regionAcademic evidence49 professors linked
⌖Registered university locationKanto · Tokyo · 千代田区Open map
This school in this fieldCounted under “情報学・計算機科学”

49 faculty on record

Common methodsInterview Research2questionnaire survey2Ethnomethodology1
電気通信大学National情報理工学域 Ⅰ類(情報系)
Lower
Hensachi 57–64est.国立単科B東京都情報工学
Target tierBelow target rangeField matchDirect official-field matchRegion preferenceMatches preferred regionAcademic evidence164 professors linked
⌖Registered university locationKanto · Tokyo · 調布市Open map
This school in this fieldCounted under “情報学・計算機科学”

164 faculty on record

Common methodsDeep Learning54Neural Network52machine learning44
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