QS Rank:

6

Stanford University

California
,United States

Program Rank

6

Program Name
Bachelor of Science in Biomedical Computation

Deadline
May 01st, 2027
Overview

Total Tuition Fees
$2,75,856

Duration
48 Months

Median Salary
$89,527
Ranking
#3
US World and News Report
#3
The World University Rankings
#6
QS World University Rankings

Intake
Fall ( Sept - Nov )
Class Profile

Class Size
20

Average Age
18

Full-Time Enrollment
4,588 Undergrads

Admission Policy
GPA: Require; Rank: Require; Prep Courses: Consider if Submitted; Recommendations: Require

International Students
12.77

Rentention Rate

98
Career Outcomes

Median Earnings After Graduation
$89,527 / year

Graduation Rate
96%

Job Placement
89%
Prospective Job Roles
Healthcare Data Analyst
Bioinformatics Scientist
Computational Biologist
Biotechnology Specialist
Biomedical Researcher
Clinical Data Scientist
Medical Software Developer
Top recruiters





Eligibility Criteria

At least 3.96 / 4.0 undergraduate GPA is expected.
English Proficiency Tests
IELTS
7

TOEFL
100

Duolingo
125

PTE
68

Cambridge
185

Application Requirements
Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

Application Fee: 90

Transcript

English Proficiency Test

Passport

Master SOP

Resume

IELTS

Class 12 Marksheets

General LOR

Academic LOR

General LOR
Application Deadlines
| Regular Decision | Early Action 1 | Standard Deadline | |
|---|---|---|---|
| Fall | Jan 5, 2025 | Nov 1, 2024 | Jan 5, 2025 |
Fees and Funding

Tuition Fees
$67,731 / year

Overall Cost
$94,115 / year

Average Total Aid Awarded
$74,244 / year
Funding Options
Need-Based Aid
Scholarship
Merit Scholarship
Scholarships

Need-based Financial Aid

University Scholarship (Average)
FAQs
- Admissions Requirements:
To be eligible for the Bachelor of Science in Biomedical Computation program at Stanford University, applicants must fulfill specific prerequisites which include:
- Submitting the Common Application.
- Paying the application fee.
- Providing school reports and official transcripts.
- Including a counselor letter of recommendation.
- Completing short essay questions.
- Providing two additional letters of recommendation.
- Demonstrating English language proficiency, typically through tests like the IELTS, with a minimum score of 6.5.
- Program Structure:
The Bachelor of Science in Biomedical Computation program is designed to span over 48 months. During this period, students will:
- Gain a solid foundation in biological principles, computational methodologies, and engineering techniques.
- Engage in core courses covering critical topics such as Biomedical Data Science, Medical Imaging, and Biomolecular Engineering.
- Participate in practical lab sessions to gain hands-on experience.
- Explore various subjects, including bioinformatics, data analysis, and medical imaging.
This structure ensures that students are well-prepared to tackle advanced healthcare problems upon graduation.
- Teaching Methods:
The teaching methodology within the Biomedical Computation program emphasizes:
- Interactive Learning: Faculty encourage students to engage critically with complex issues.
- Problem-Solving: Students are guided in addressing real-world biomedical challenges.
- Mentorship: Faculty members mentor students in research projects, fostering an environment of innovation and creative thinking.
This approach not only enhances understanding but also promotes a collaborative learning atmosphere.
- Program Highlights:
Some notable aspects of the Biomedical Computation program include:
- A comprehensive curriculum that integrates biological sciences, engineering, and computer science.
- Access to world-class faculty who are leaders in their fields.
- Robust research opportunities that enhance hands-on learning.
- Strong industry connections with leading companies for internship and job placements.
- High median salaries for graduates reflecting the value of a Stanford education.
- Research Opportunities:
Students in the Biomedical Computation program have abundant research opportunities, including:
- Access to cutting-edge laboratories and resources.
- Participation in various research initiatives, often collaborating with faculty on groundbreaking projects.
- Exposure to resources like the Stanford Neurosciences Institute and the Stanford Institute for Stem Cell Biology and Regenerative Medicine.
This involvement allows students to contribute to real-world solutions while building their professional portfolios.
- Career Prospects:
Graduates of the Biomedical Computation program can anticipate a variety of career pathways, including:
- Biomedical Engineer
- Clinical Research Associate
- Medical Laboratory Scientist
- And more.
The median base salary for graduates is an impressive $116,983, reflecting the high demand for qualified professionals in this field.
- Employability Support:
The Biomedical Computation program enhances students' employability through:
- Strong industry connections with leading companies such as Amazon, Apple, Medtronic, and Kaiser Permanente.
- Providing internship opportunities and job placements upon graduation.
These partnerships significantly improve students' practical experiences and readiness for a competitive job market.
- Class Size and Student Demographics:
The average class size in the Biomedical Computation program is around 20 students. This allows for:
- Personalized attention from faculty.
- An interactive educational experience.
The student body exhibits a mix of local and international representation, fostering rich discussions and collaborations. The average age of students is 18, making it an ideal environment for young scholars.
- Unique Aspects of the Program:
Stanford's Biomedical Computation program stands out due to:
- A rigorous academic curriculum that integrates multiple disciplines.
- Access to esteemed faculty who are committed to student success.
- Robust research opportunities that promote innovation.
- Strong industry connections enhancing career prospects.
- A focus on diversity and inclusivity in student representation.
These elements collectively prepare students to become leaders in the biomedical sciences field.
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