M.S.E. in Electrical Engineering
The M.S.E. in Electrical Engineering program at Arizona State University is designed to...
Phoenix, Arizona
INTAKE: Jan & Aug
The M.S. in Computer Science - Biomedical Informatics program at Arizona State University prepares students to leverage their computer science expertise in the field of healthcare and biomedical research. The program focuses on the development and application of computational methods and technologies to solve complex problems in biomedicine, genomics, and healthcare systems.
STEM Designation: The M.S. in Computer Science - Biomedical Informatics program at Arizona State University holds a STEM designation.
Curriculum:
Core Computer Science Courses: The program includes core computer science courses that cover essential topics such as algorithms, data structures, database systems, and programming languages. These courses provide a strong foundation in computer science principles and techniques.
Biomedical Informatics Specialization: The curriculum offers specialized courses that focus on the integration of computer science and biomedical informatics. Students learn about healthcare data management, clinical decision support systems, biomedical imaging analysis, and bioinformatics. They gain an understanding of how computational methods can be applied to analyze and interpret biomedical data.
Data Analytics and Machine Learning: The program emphasizes courses in data analytics and machine learning, which are crucial for extracting meaningful insights from large-scale biomedical datasets. Students learn to apply statistical analysis, machine learning algorithms, and data mining techniques to biomedical informatics problems, enabling them to make informed decisions and drive innovation in healthcare.
Collaborative Projects and Internships: The program offers opportunities for students to engage in collaborative projects and internships with healthcare institutions, research organizations, and industry partners. These experiences allow students to apply their knowledge and skills in real-world settings, gaining practical experience and developing professional networks within the biomedical informatics field.
Phoenix, Arizona
IELTS : 7
USD 35280
The university has specific entry requirements for international students applying to postgraduate programs.
Academic Requirements:
English Language Proficiency:
Graduate Record Examination (GRE)
The University of Arizona State University (ASU) is a renowned public research university located in the United States.
Merit-based Scholarships: ASU offers a range of merit-based scholarships to international students based on their academic achievements. These scholarships recognize outstanding academic performance, leadership potential, and extracurricular involvement. Examples of merit-based scholarships include the New American University Scholarship, President's Scholarship, and Provost's Scholarship.
International Excellence Awards: ASU provides International Excellence Awards to exceptionally talented international students. These awards are highly competitive and are based on criteria such as academic achievements, contributions to the community, and potential for future success. The International Excellence Awards are available at both undergraduate and graduate levels.
Financial Need-based Scholarships: ASU also offers scholarships to international students based on their financial need. These scholarships aim to provide financial assistance to deserving students who may require additional support to pursue their education. Students are required to demonstrate their financial need through appropriate documentation.
Departmental Scholarships: Many departments and colleges within ASU offer scholarships specific to their academic disciplines. These scholarships are designed to support students pursuing studies in particular fields of study. Students should inquire directly with their respective departments or colleges to explore scholarship opportunities related to their area of interest.
External Scholarships: ASU encourages international students to explore external scholarship opportunities from government agencies, foundations, corporations, and other organizations. The university provides resources and guidance to assist students in identifying and applying for external scholarships that may be available to them.
It's important to note that scholarship availability, eligibility criteria, and application processes may vary. Students should review the specific requirements and deadlines associated with each scholarship opportunity and prepare their applications accordingly.
Graduates of the M.S. in Computer Science - Biomedical Informatics program at Arizona State University have promising career prospects in various sectors at the intersection of computer science and healthcare.
Bioinformatics Specialist: Graduates can work as bioinformatics specialists, analyzing and interpreting genomic data to uncover patterns and associations. They can contribute to research projects, drug discovery initiatives, and precision medicine efforts by developing computational tools and algorithms for genomic analysis.
Healthcare Data Analyst: With their expertise in data analytics and healthcare informatics, graduates can pursue careers as healthcare data analysts. They can work with healthcare organizations to analyze and interpret healthcare data, identify trends, and optimize healthcare delivery systems. They play a crucial role in improving patient outcomes and healthcare efficiency.
Clinical Informatics Consultant: Graduates can work as clinical informatics consultants, providing expertise in implementing and optimizing electronic health record (EHR) systems and other health information technologies. They can help healthcare organizations streamline workflows, improve data security, and ensure compliance with regulatory standards.
Research Scientist: Graduates can pursue research-oriented careers as research scientists in academic institutions, research laboratories, or industry R&D divisions. They can contribute to biomedical research projects, leveraging computational methods and informatics tools to advance our understanding of diseases, develop new therapies, and improve healthcare practices.