GRADUATE / HILBERT ZHANG

Master’s admissions

Match your academic and career goals with the right graduate pathway.

01 / SERVICES

Three stages of support.

An overview first. Expand for the full service list.

01

Early preparation

Coursework, research, internships and recommendations.

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Timeline and pathway planning

  • Map out the overall master's application timeline
  • Assess undergraduate background, target degree types and fields
  • Track admissions policies, prerequisites and program priorities

Academic and course alignment

  • Identify prerequisite gaps and plan relevant coursework
  • Develop and track a study plan

Language and standardized testing

  • Plan TOEFL / IELTS / Duolingo / PTE preparation
  • Assess GRE / GMAT / LSAT / MCAT requirements and set staged goals
  • Monitor preparation materials and practice-test progress

Research and internship planning

  • Identify research groups, laboratories and RA opportunities
  • Plan internships at companies and research institutes, with target outputs such as reports, data, code or patents
  • Plan paper submissions, conference posters and academic competitions such as Kaggle and iGEM

Experience and personal development

  • Plan leadership projects in student organizations and clubs
  • Plan volunteering, community initiatives and social engagement
  • Connect resources for entrepreneurial, independent and interdisciplinary projects
  • Bring academic experiences and impact together into a growth narrative

Recommendation strategy

  • Identify recommenders among professors, internship supervisors and research collaborators
  • Establish ongoing communication and progress updates
  • Organize supporting material and key points for recommendations
02

Application season

Program matching, writing, documents and interviews.

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Application strategy

  • Assess academic and personal strengths and weaknesses
  • Match research interests and program formats: thesis, non-thesis or coursework
  • Develop a balanced list of reach, match and safer options
  • Plan RA, TA and fellowship applications
  • Evaluate changes of field and interdisciplinary pathways

Core application writing

  • Develop the structure and narrative of the statement of purpose and personal statement
  • Refine research proposals and writing samples
  • Support diversity statements, optional essays and video essays
  • Refine and format academic resumes and CVs
  • Tailor supplementary essays for scholarships and research assistantships

Application portals and documents

  • Provide guidance on university application portals
  • Plan transcripts and WES / NACES credential evaluations
  • Review course descriptions, research and internship evidence, portfolios and supporting documents
  • Cross-check personal information, activities and prerequisite self-reports
  • Support submission and multiple rounds of checks

Interviews and follow-up

  • Practice academic and technical interviews and video assessments
  • Develop faculty outreach emails and communication techniques
  • Plan responses to waitlists and deferrals
03

After admission

Offer comparisons, visas and enrollment preparation.

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Admission and enrollment preparation

  • Compare offers, discuss scholarship negotiation and assess degree value
  • Prepare I-20 / DS-2019 applications and financial documentation
  • Prepare F-1 / J-1 visa documents and practice interviews
  • Review housing and health insurance checklists
  • Advise on course selection, credit transfer and prerequisite waivers
  • Support contact with labs and faculty and pursuit of RA / TA roles
  • Plan pre-enrollment preparation in programming, mathematics and academic writing
  • Provide U.S. arrival orientation and local living guidance
02 / SELECTED CASES

Selected student journeys.

Showing 8 cases

QUANTITATIVE FINANCE

MIT

  • MIT — MFin
  • Princeton — MFinance
  • UC Berkeley — MFE
View background

Undergraduate degree in mainland China · C9

GPA 89/100

  • 2 internships in mainland China
  • 1 research experience
QUANTITATIVE FINANCE

CMU

  • CMU — MFE
  • Columbia — MFE
View background

U.S. undergraduate degree, T20 · Math + CS minor

GPA 3.8

  • 1 research experience
  • 1 internship in mainland China
CS / DS / AI

Stanford

  • Stanford — MS CS-AI
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U.S. undergraduate degree, T20 · CS + Math

GPA 3.7

  • 3 research experiences, including 1 conference
  • 2 SWE internships at major Silicon Valley technology firms
CS / DS / AI

UC Berkeley

  • UC Berkeley — EECS MS
View background

U.S. undergraduate degree, T30 · Data Science + Math minor

GPA 3.3

  • 2 research experiences
  • 1 academic poster
  • 1 startup internship
CS / DS / AI

CMU

  • CMU — MCDS
View background

Undergraduate degree in mainland China · 985 university · CS

GPA 88/100

  • 2 research experiences
  • 1 open-source tool
  • 2 internships at major technology firms in mainland China
ECONOMICS & SOCIAL SCIENCES

Yale University

  • Yale University — MA in International and Development Economics (IDEC)
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U.S. undergraduate degree · T20

GPA 3.9/4.0

  • 2 internships
ECONOMICS & SOCIAL SCIENCES

University of Pennsylvania

  • University of Pennsylvania — Master of Behavioral and Decision Sciences (MBDS)
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U.S. undergraduate degree · T50

GPA 3.7/4.0

  • 1 on-campus research assistantship
  • 1 internship
ECONOMICS & SOCIAL SCIENCES

Columbia University

  • Columbia University — MA in Sociology
View background

Undergraduate degree in mainland China (non-985 / 211)

GPA 3.3/4.0

  • 1 summer research experience
  • 2 research assistant experiences

Anonymized, condensed cases. Individual outcomes do not guarantee future admission.

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