QS Rank:

307

University of California, Irvine

California
,United States

Program Name
Master of Science in Mathematical, Computational and Systems Biology

Deadline
December 10th, 2023
Overview

The Master of Science in Mathematical, Computational and Systems Biology at the University of California, Irvine, is a meticulously structured program designed for aspiring professionals eager to explore the intersections of biology and computational science. This program is housed within the esteemed Donald Bren School of Information and Computer Sciences, catering to a growing demand in the field of computational biology. Over a duration of 24 months, students delve into rigorous coursework that encompasses essential mathematical principles, advanced computational methods, and the biological sciences, providing a comprehensive foundation for a career in this innovative and rapidly evolving domain.
Each student in this program has the opportunity to engage deeply with a diverse curriculum that includes courses such as Quantitative Methods in Biology, Machine Learning in Genomics, Statistical Bioinformatics, and Computational Modeling of Biological Systems. These courses are meticulously designed to equip students with the analytical frameworks and tools necessary to tackle complex biological questions and datasets. Additionally, specialized electives allow students to tailor their program to align with specific interests, whether in genomics, systems biology, or evolutionary biology, ensuring a personalized educational experience that prepares them for the demands of the workforce.
A standout feature of this program is the exceptional faculty, comprising leading experts in various fields of biology, mathematics, and computer science. These professors employ innovative teaching methodologies that fuse theoretical knowledge with practical application, ensuring that students not only learn but actively engage with the material. Many faculty members are involved in groundbreaking research projects, and students can benefit from this expertise through opportunities to assist in research initiatives. The faculty's commitment to mentorship fosters an environment where students can thrive academically and professionally.
Research opportunities are abundant at UC Irvine, thanks to its state-of-the-art facilities and laboratories. Students are encouraged to partake in diverse research projects that often result in published findings, presenting a unique chance to contribute to the scientific community while still in school. The University of California, Irvine's strong emphasis on interdisciplinary research promotes collaboration among different departments, enabling students to work on innovative projects that can lead to new discoveries in systems biology and computational analysis.
The program also boasts strong industry connections, providing students with valuable pathways to internships and job placements. Through partnerships with leading tech companies, biotech firms, and research institutions, students gain access to a wealth of networking opportunities. Internships serve as a pivotal experience, allowing students to apply their skills in real-world settings, enhance their resumes, and make valuable industry connections that can pave the way for successful careers.
Graduates of the Master of Science in Mathematical, Computational and Systems Biology program find themselves well-prepared for a wide array of career opportunities. They often pursue roles in healthcare, pharmaceuticals, and biotechnology, working as data analysts, computational biologists, bioinformatics specialists, or researchers. The program’s focus on both theoretical knowledge and practical skills ensures that alumni are not only knowledgeable but also job-ready, contributing to their high employability rates in competitive job markets. Alumni from this program have gone on to secure positions at prestigious organizations, showcasing the program's potential to launch successful careers.
Why Study Mathematical, Computational and Systems Biology at University of California, Irvine?
- A comprehensive curriculum that integrates biology, mathematics, and computer science, offering students a multifaceted understanding of computational biology.
- Access to renowned faculty with expertise across various disciplines, providing mentorship and guidance throughout the academic journey.
- Robust research initiatives supported by cutting-edge laboratories, fostering innovation and collaboration in the realm of computational biology.
- Strong connections with industry partners, enhancing internship and job placement opportunities for students.
- A diverse international student community, contributing to a rich learning environment and broadening perspectives in scientific inquiry.
- High graduate employability rates, ensuring that students are well-prepared to enter the workforce upon program completion.
- Unique and flexible electives allowing students to specialize in areas aligned with their career aspirations and research interests.
As for the prerequisites, applicants are encouraged to possess a strong background in mathematics and the biological sciences. Demonstrating proficiency in relevant statistical and computational methods is advantageous for prospective students. Additionally, language proficiency tests, such as IELTS (minimum score of 7.0) or TOEFL (minimum score of 80), are essential for non-native English speakers to ensure effective communication within the academic environment.
The Master of Science in Mathematical, Computational and Systems Biology program at UC Irvine stands out as a premier choice for those eager to engage in cutting-edge research and contribute to advancements in biology through computational techniques. With its rigorous curriculum, expert faculty, and abundant opportunities for hands-on experience, students are well-positioned for success in a field that is both challenging and rewarding.

Duration
24 Months
Ranking
#34
US World and News Report
#95
The World University Rankings
#307
QS World University Rankings
Class Profile
Diversity
International:
25%California:
43%Others:
32%Eligibility Criteria
English Proficiency Tests
IELTS
7
TOEFL
80
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: 155
Application Deadlines
Standard Deadline | |
---|---|
Fall | Dec 10, 2023 |
Fees and Funding

Tuition Fees
$26,802 / year
FAQs
Applicants to the Master's program are encouraged to have a strong background in both mathematics and biological sciences. It is also beneficial for prospective students to demonstrate proficiency in relevant statistical and computational methods. For non-native English speakers, language proficiency tests are required, with a minimum score of 7.0 on the IELTS or 80 on the TOEFL to ensure effective communication within the academic setting.
The program is designed to be completed over a period of 24 months, during which students will engage in rigorous coursework that covers essential mathematical principles, advanced computational methods, and biological sciences. The curriculum includes diverse courses such as Quantitative Methods in Biology, Machine Learning in Genomics, Statistical Bioinformatics, and Computational Modeling of Biological Systems. Additionally, students can select specialized electives to tailor their education according to their interests in areas like genomics, systems biology, or evolutionary biology.
The faculty in this program utilize innovative teaching methodologies that blend theoretical knowledge with practical application. This approach ensures that students not only learn the material but also actively engage with it. Many professors are involved in groundbreaking research projects, providing students the opportunity to assist in these initiatives, thereby enriching their learning experience through real-world applications.
Key highlights of the Master's program include:
- A comprehensive curriculum that integrates biology, mathematics, and computer science, offering a multifaceted understanding of computational biology.
- Access to renowned faculty who provide mentorship and guidance throughout the academic journey.
- Robust research initiatives supported by cutting-edge laboratories, fostering innovation and collaboration.
- Strong industry connections that enhance internship and job placement opportunities.
- A diverse international student community that enriches the learning environment.
- High graduate employability rates, ensuring graduates are well-prepared to enter the workforce.
- Unique and flexible electives that allow specialization in areas aligned with career aspirations.
Students have abundant research opportunities at UC Irvine, thanks to state-of-the-art facilities and laboratories. They are encouraged to participate in diverse research projects that often lead to published findings. This involvement not only allows students to contribute to the scientific community while still in school but also enhances their academic and professional profiles.
Graduates of the Master's program in Mathematical, Computational and Systems Biology are well-prepared for various career opportunities in fields such as healthcare, pharmaceuticals, and biotechnology. Common roles include data analysts, computational biologists, bioinformatics specialists, and researchers. The program's emphasis on both theoretical knowledge and practical skills contributes to high employability rates for alumni, many of whom secure positions at prestigious organizations.
The program has strong industry connections that provide students with valuable pathways to internships and job placements. Through partnerships with leading tech companies, biotech firms, and research institutions, students gain access to a wealth of networking opportunities. Internships are a pivotal experience, allowing students to apply their skills in real-world settings, enhance their resumes, and build important industry connections.
This program stands out due to its rigorous curriculum that integrates biology, mathematics, and computer science, providing a multifaceted understanding of computational biology. Additionally, the access to renowned faculty, robust research initiatives, strong industry connections, and a diverse student community contribute to a rich educational experience. The program's high graduate employability rates and the flexibility of electives further distinguish it from other programs in the field.
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