collageMolecular Biology is an interdisciplinary field that focuses on the study of the building blocks of matter. This field encompasses a wide range of topics including genetics, biochemistry, microbiology, immunology and others. This page explores the details of Bioinformatics Phd Distance Learning, phd bioinformatics scholarship, phd in bioinformatics in usa, cambridge bioinformatics phd, bioinformatics phd requirements and how long does a phd in bioinformatics take.
A doctorate in Molecular Biology might be an option for you if you have a keen interest in this field. However, Ph.D. in Molecular Biology degree programs are rarely offered in a 100% online format due to several laboratory activities that require on-campus presence. A blend of classroom and online coursework is typical for this type of degree program. Luckily, there are very few schools that offer hybrid learning in attaining a doctorate in molecular biology. Read on to know more about Bioinformatics Phd Distance Learning, phd bioinformatics scholarship, phd in bioinformatics in usa, cambridge bioinformatics phd, bioinformatics phd requirements and how long does a phd in bioinformatics take.
Do not be discouraged about the rarity of the completely online programs of this degree since some schools or universities can offer you a flexible and convenient way of earning your degree through a self-paced and untraditional format of learning.
Ph.D Mol Biol graduate programs are designed to provide students the skills and knowledge they need for possible employment opportunities in agriculture, biotechnology, and healthcare
Do not be discouraged about the rarity of the completely online programs of this degree since some schools or universities can offer you a flexible and convenient way of earning your degree through a self-paced and untraditional format of learning.
Bioinformatics Phd Distance Learning
We begin with Bioinformatics Phd Distance Learning, then phd bioinformatics scholarship, phd in bioinformatics in usa, cambridge bioinformatics phd, bioinformatics phd requirements and how long does a phd in bioinformatics take.
Program Description
Researchers in the field of bioinformatics and computational biology collect, store, analyze, and present complex biological data using high-performance computing. Through this work, critical contributions are made to disease detection, drug design, forensics, agriculture, and environmental sciences. This research-oriented program trains a new generation of computational biologists for careers in private industry, academia, and government agencies. The program provides students with interdisciplinary academic curriculum that includes fundamental bioscience courses as well as advanced courses in bioinformatics.
In general, course requirements are completed within the first two years of study. Completion of coursework, the comprehensive exam, and a successful dissertation proposal results in advancement to candidacy status. In the next phase, students conduct research guided by a faculty member. The program is concluded with the defense of PhD dissertation.
The program is structured to be accessible for full- and part-time students. The courses are offered in a hybrid or distance learning format without requiring students to travel to campus. Because the research work is computational, students may choose to earn their doctoral degree entirely remotely or in a traditional face-to-face format.
What it costs
The total cost for this program is $793.25 per credit hour for VA state residents or $1,681.25 per credit hour for Non-VA residents. New Student and other mandatory university and course fees may apply.
Application Deadline
For application information and deadlines, see the Admissions site.
Who should apply?
The program is inherently interdisciplinary and consequently the students coming to the program are likely to have a background in biology, computer science, or chemistry. Students select one of the areas in bioinformatics and computational biology studied by a faculty member, who will serve as their advisor. Thus, the students interested in studying biological problems utilizing computational methods are encouraged to apply.
Why choose George Mason?
- Life science is a rapidly developing field demanding highly trained computational biologists. Our program addresses the growing demand by preparing a new generation of bioinformaticians to be employed in industry, academia, or government.
- By joining the program, students will participate in advanced, cutting-edge research.
- Students benefit from cooperation with neighboring world-class research institutions, including the NIH, USDA, FDA, FBI, and many other universities, research institutes, museums, government, and military laboratories in the Greater Washington, DC area.
- Courses in this program are taught by acclaimed professors and experts in the field, including Saleet Jafri, Dmitri Klimov, Donald Seto, Jeffrey Solka, Aman Ullah, and Iosif Vaisman as well as faculty from other departments.
- The program offers excellent opportunity for professionals with MS degree to complete PhD program on a part-time basis.
- The entire doctoral degree can be earned online without the need to travel to campus.
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The Bioinformatics Interdepartmental Ph.D. Program is one of ten Home Areas within the UCLA Graduate Programs in Bioscience (GPB). Home Areas consist of faculty and students with shared interest in research areas and approaches. Each interdepartmental Home Area is aligned with a Ph.D.-granting program, provides in depth, cutting-edge training, and offers access to a wide variety of exceptional faculty mentors. Interdisciplinary Ph.D. program with integrated one-year core curriculum, over 50 elective courses, and over 20 core bioinformatics faculty spanning life & physical sciences, the Schools of Medicine and Engineering.
- Prospective graduate students are encouraged to apply for admission to the UCLA Bioinformatics Ph.D. program.
- UCLA undergraduates can get involved through the many undergraduate bioinformatics course offerings as well as an Undergraduate Minor program in Bioinformatics.
- UCLA Computer Science Masters students are encouraged to get involved through graduate courses in Bioinformatics which are applicable to their Masters program.
- There are plenty of opportunities for current UCLA students to get involved in bioinformatics research projects. Students from outside UCLA interested in research internships should contact Bioinformatics faculty directly.
What is the UCLA Bioinformatics Ph.D. Program?
We offer integrated doctoral training for students interested in working at the interface of computer science, biology, and mathematics to address the fundamental challenges of contemporary genomic-scale research. Our interdisciplinary Ph.D. program consists of an integrated one-year core curriculum, research rotations, over 50 elective courses, and faculty mentors spanning biology, mathematics, engineering, and medicine.
What is Bioinformatics?
Bioinformatics can be defined broadly as the study of the inherent structure of biological information. Some of this inherent structure is very obvious (e.g., statistical patterns that reveal crucial functional regions such as genes), while others are less obvious but still immediately fruitful (e.g., how regulatory sequences give rise to “programs” of gene expression), while others are profound long-term challenges (e.g., how the genome encodes the capabilities of the human mind). Bioinformatics is the marriage of biology and the information sciences. Long term, this is a huge intellectual project. Fortunately, it is producing immediately valuable results now, e.g.:
- Statisticians have invented analyses of DNA microchip results (expression measurements of all 30,000 human genes simultaneously) that can distinguish different types of tumors with dramatically different treatment requirements, which previously were hard to differentiate clinically.
- Evolutionary biologists have developed bioinformatics analyses of genome sequence data that reveal the precise pathways by which dangerous pathogens (like HIV) evolve drug resistance, and how to slow the evolution of multi-drug resistance.
- Computer scientists have created powerful new ways for mapping brain functions automatically from standard imaging data.
UCLA Bioinformatics History
UCLA has a strong record of bioinformatics research and graduate training. In 1999 the faculty established a graduate core curriculum in bioinformatics, which has been offered continuously since that time, and recently has been greatly expanded, demonstrating the faculty’s commitment to collaborative teaching and to long-term development of an integrated bioinformatics program. These initiatives have been recognized by a large number of awards of multi-investigator Project and Training grants in bioinformatics from NIH, NSF, DOE and other funding sources.
The Bioinformatics IDP provides an academic home for bioinformatics at UCLA that brings together the many different disciplines that this field requires. Examples of current bioinformatics research conducted by the core faculty include:
- The analysis of gene and protein sequences to reveal protein evolution and alternative splicing
- The development of computational approaches to study and predict protein structure to further our understanding of function
- The analysis of mass spectrometry data to, for example, understand the connection between phosphorylation and cancer
- The development of computational methods to utilize expression data to reverse engineer gene networks in order to more completely model cellular biology
- The study of population genetics and its connection to human disease
Research strengths
The program involves over 45 core bioinformatics faculty leading research in:
- Prediction of protein structure, function, interaction networks
- Transcriptomics via RNAseq
- Epigenomics (high-throughput methylation profiling)
- Genome-wide association for disease genes
- Stochastic network inference and modeling
- Population genomics
- Bayesian phylogenetics and comparative genomics
- Genome evolution
- Algorithmic development for high-throughput data-mining
Resources
- Core facilities for high-throughput technologies
- Expression profiling
- Genomic-scale genotyping
- Next generation sequencers (e.g. pyrosequencing)
- Chemical informatics (diversity library screening)
- Proteomics (e.g. NMR, mass spectroscopy)
- Core facilities for advanced computing: The Center for Computational Biology provides one of the largest computational Grid clusters in Southern California.
- Institute for Pure and Applied Mathematics
- Single campus that integrates schools of Medicine, Engineering, Life Sciences, Mathematical and Physical Sciences, and Public Health.
- Extensive fellowship support
cambridge bioinformatics phd
Established in 1983, the EMBL International PhD Programme provides students with the best starting platform for a successful career in science. Characterised by first-class training, internationality, dedicated mentoring and early independence in research, it is among the world’s most competitive PhD training schemes in molecular biology. All of EMBL’s six outstations participate in the programme.
EMBL-EBI provides a highly collaborative, interdisciplinary environment in which research and service provision are closely allied. We are a world leader in bioinformatics research and service provision, as we are at the centre of global efforts to collect and disseminate biological data. We share a campus with the Wellcome Sanger Institute, 12 miles south of Cambridge in the United Kingdom.
EMBL PhD students at EMBL-EBI are members of the University of Cambridge and one of its Colleges. They receive their degree from Cambridge University; the programme is coordinated in Heidelberg with local support at EBI. Please visit the EMBL International PhD Programme pages to learn about how to apply.
EMBL PhD students receive theoretical and practical training and conduct a research project under the supervision of an EMBL faculty member, monitored by a thesis advisory committee. The duration of PhD studies is normally three-and-a-half to four years.
In Year 1 all new PhD students will attend the EMBL Predoctoral Core Course in Molecular Biology in Heidelberg; attend Primers for Predocs; undergo nomination of a thesis advisory committee to monitor student progress, and submit and defend a project proposal.
In Year 2 students will need to submit a second annual report to the thesis advisory committee, participate in the Bioinformatics course and predoc seminar day.
In Year 3 students will need to submit a third annual report to the thesis advisory committee.
In Years 3/4 students will need to write and submit their thesis: PhD awarded following Degree Committee approval and successful completion of an oral examination.
Open Days
The Postgraduate Virtual Open Day usually takes place at the beginning of November. It’s a great opportunity to ask questions to admissions staff and academics, explore the Colleges virtually, and to find out more about courses, the application process and funding opportunities. Visit the Postgraduate Open Day page for more details.
Expected Academic Standard
Applicants for this course should have achieved a UK Good II.i Honours Degree.
If your degree is not from the UK, please check International Qualifications to find the equivalent in your country.
We welcome applications from highly qualified students of all nationalities. All applications need to be supported by a minimum of two academic reference letters and are evaluated solely on the basis of qualification and scientific potential.
For information on the programme and how to apply, please refer to the European Bioinformatics Institute website.
Language Requirement
IELTS (Academic)
| Element | Score |
|---|---|
| Listening | 7.0 |
| Writing | 7.0 |
| Reading | 6.5 |
| Speaking | 7.0 |
| Total | 7.0 |
TOEFL Internet Score
| Element | Score |
|---|---|
| Listening | 25 |
| Writing | 25 |
| Reading | 25 |
| Speaking | 25 |
| Total | 100 |
CAE
Score: Grade A or B (with at least 193 in each individual element) plus a language centre assessment.
CPE
Score: Grade A, B, or C (with at least 200 in each individual element).
Visa Information
If you are made an offer, an ATAS will be required in order to obtain a Visa.
Do not apply for an ATAS unless you have been made an offer.
A CAH3 code, which will be used to make your ATAS application, will be provided in your offer letter.
bioinformatics phd requirements
PhD Curriculum
The requirements for each student in the PhD program in Bioinformatics include the successful completion of a set of core courses in Biology, Biochemistry, Mathematics, and Computer Science, while the main emphasis of the program is on the successful completion of an original and independent research project. Each student must also complete a minor program of study in accordance with Institute policies.
Admission to candidacy requires passing written and oral comprehensive examinations administered by the Bioinformatics PhD Graduate Committee (see the Qualifying Exams section below). The PhD dissertation written on results of the individual research project should provide evidence that the PhD candidate is ready to start an independent research career. The PhD thesis should be defended publicly and approved by the thesis committee.
Each student regardless of home unit is required to complete course work from the following categories. Specific courses should be selected in consultation with the student’s faculty advisor, committee, and the Bioinformatics program director.
A. 9 credit hours of Bioinformatics and Computational Bioscience (e.g. BIOL 6150, BIOL 7200, BIOL 7210)
B. 9 credit hours in Biology, Biochemistry or Biomedical Engineering (e.g. BIOL 7015, BMED 6517, BIOL 8803)
C. 9 credit hours of Mathematics and Computer Science (e.g. CS 7641, CSE 6242, MATH 6702)
D. 9 credit hours of courses in an approved minor
E. 24 research credit hours
Credit hours for courses in categories A, B, and C could be completed by previous graduate study (such as study in the Georgia Tech Master’s Degree in Bioinformatics program). Approval of transfer of credits from courses taken elsewhere is done by the Bioinformatics graduate committee. Typically, 2/3 of credit hours in each category A, B, C, D should be at 6000 or higher level. Students can use appropriate 4000 level courses from the list of recommended courses (see separate tab), if the student’s thesis committee approves them and include them into a program of study. A student must maintain a GPA of 3.2 in his/her course work.
Participating Schools may have additional requirements and policies for students registered for the Bioinformatics PhD program in that School as the home unit, such as a requirement that courses in sections B or C must be taken in the home department, and/or specifics on affiliation of thesis committee members. These further define the course of study, but do not constitute additional academic workload.
Please download the pdf. below to complete the PhD Program of Study form:
QUALIFYING EXAMS
The student must successfully pass a qualifying exam, preferably within 24 months after entering the PhD program. The exam consists of written and oral parts. The written part is a written proposal of the planned PhD dissertation research, in the format of a research grant proposal. The oral examination is a presentation of this written thesis proposal. The written exam in Bioinformatics and the oral exam are administered by a faculty committee consisting of:
- Two Bioinformatics Program faculty
- One faculty member from the Home Unit
- Thesis advisor as an observer, not as a participant (as a rule).
The committee is suggested by the advisor and approved jointly by the Chair of the Bioinformatics Graduate Committee and the Chair of a Home Unit Graduate Committee.
The guidelines of the qualifying exam are given as an example and not as a strict guideline to follow by each home unit. Each home unit is allowed to modify the qualifying exam policy to make it most suitable to the unit profile.
Students who wish to transfer to the Bioinformatics program after passing their qualifying exam in another PhD major can be admitted by the Bioinformatics Graduate committee without the requirement of passing the Bioinformatics qualifying exam. In this case the advisor (with co-advisor) and thesis committee may have to specify additional courses to be taken to satisfy the requirements of the program of study.
Home Unit approval for degree petition, as well as approval by the Bioinformatics Graduate Committee, will be required.
THESIS
A student should choose a thesis advisor (from the Bioinformatics Program Faculty) and co-advisors within the first year of being in the PhD program. In the second year a student along with advisor are expected to assemble the thesis committee. The thesis committee should consist of a minimum of five faculty members. At least three members of the committee should be from Bioinformatics Program Faculty and at least two members of thesis committee should be from the home unit. Not later than in the middle of the third year a student has to present and defend a written PhD proposal.
RESEARCH PROGRESS
A student should meet with his/her thesis committee at least once a year to review the research progress.
PhD DISSERTATION
Within 5 years after entering the PhD program, the student is expected to complete the thesis research, and, typically, the student must have the results of the research published in peer reviewed journals. Upon submitting a written thesis and public defense and approval by the committee, the student is awarded the PhD degree.
how long does a phd in bioinformatics take
If you’re interested in a PhD in bioinformatics, you have a lot of options. If you’re not sure what kind of program is right for you, or if you want to know more about the different types of programs and the requirements, read on!
A standard PhD in Bioinformatics requires 3 to 4 years of full-time study, whilst a part-time Bioinformatics course typically takes 6 to 7 years to complete. A Bioinformatics MPhil typically takes 1 to 2 years of full-time study.
PhD vs MPhil vs Master’s Degree in Bioinformatics
So what does all this mean? Well, let’s break it down:
A PhD is a doctorate degree that requires original research work as part of your coursework. This means that students writing their dissertation must produce new knowledge in their field through research that has never been done before. In terms of academic study, this is the highest level possible. After finishing your PhD coursework and passing your final exams—and assuming you’ve conducted enough research—you’ll submit your dissertation and defend it against questions from peers in your field who are familiar with your area of expertise.
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