TOFEL:90 分
a minimum of 31 graduate-level credits
学年学费
$48,554
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Background in Computer Science (including project work)
Grade Point Average (GPA)
Graduate Record Examination (GRE)
Letters of reference
Personal statement
TOEFL/IELTS scores
Applications are evaluated in their entirety. A weakness in one factor might be mitigated by strength in another.
Background in Computer Science
The Department of Computer Science does not require that applicants hold a bachelor's degree in Computer Science. However, applicants are expected to have a strong background in Computer Science.
A suitable background would include courses in the following core areas:
Data Structures
Discrete Mathematics
Assembly Language and Computer Organization
Programming in a procedural language such as C, C#, C++, or Java.
Applicants are also expected to have taken several (but not necessarily all) courses in specialized areas:
Operating Systems
Programming Languages
Algorithms
Compilers
Artificial Intelligence
Computer Networks
Automata and Formal Languages
Software Engineering
A year of college-level Calculus is also required. In general, experience gained working is not considered equivalent to successful completion of the courses listed above.
Grade Point Average
There is no minimum GPA required for admission. However, most applicants who are offered admission to our program have a GPA of at least 3.3 (out of 4.0). The grades in Computer Science, mathematics and related courses are more important than the overall GPA.
GRE Scores
GRE scores are required. The CS subject test GRE is not required (it is no longer even offered).
GRE Scores Taken on or after August 1, 2011 - Average Scores of Admitted Applicants
Verbal156 on a scale of 130 - 170
Quantitative160 on a scale of 130 - 170
Analytical Writing3.5 on a scale of 0 - 6
Letters of Reference
If possible, letters of references should be written by faculty at a university previously attended. Letters of reference from Computer Science faculty are preferred, but references from employers are welcome. References should pay particular attention to academic achievements and evidence of independent, creative problem solving.
TOEFL/IELTS Scores
If you are a permanent resident of the U.S., TOEFL is not required
If you received a 4-year degree at an English-speaking institution (whether or not the institution is in the U.S.), TOEFL/IELTS is not required.
If you received a 4-year degree at a non-English-speaking institution and a Master's degree from an English-speaking institution, TOEFL/IELTS is required.
Note that if you have a solid command of written and spoken English, TOEFL/IELTS waivers are possible! SEND EMAIL TO THE UVA SCHOOL OF ENGINEERING GRADUATE ADMISSIONS COORDINATOR IVA GILLET explaining why you believe TOEFL/IELTS can be waived (include evidence such as verification of duties as a Teaching Assistant that required significant interactions in English, copies of expired TOEFL/IELTS scores, presentations at conferences in English, etc.).
A score of at least 90 on the TOEFL iBT is preferred. It is rare that we offer admission to an applicant who scored less than 22 on the Speaking section of TOEFL. Similar statements can be made regarding IELTS. Scores can be sent electronically to UVa at institution code B875. Some students with lower scores may be required to complete the UVA SUMMER ENGLISH FOR ACADEMIC PURPOSES PROGRAM prior to admission.
Financial Aid
The financial aid package includes tuition, fees, health insurance and a competitive stipend. PhD students are typically admitted with full support in the form of fellowship or Teaching Assistant (TA) positions in their first year, with the expectation that they will join a research group by the end of their first year and then be supported as a Research Assistant (RA). This model gives incoming students the opportunity to explore the best match in terms of research area and advisor.
The Application itself
Complete every question thoroughly
CV
Hhigher-education degrees along with graduate date, GPA, and class rank.
Any certificates and other forms of training
Give thorough explanations of any research and leadership experience, including advisor names
All publications, including journal articles and conference presentations
Professional experiences and include names of companies
Research and academic awards, fellowships, and internships
Any teaching experience
Any outreach and service
Letters of Recommendation
Request letters well in advance and remind recommenders as you approach the deadline
Make sure each writer ca attest to your character and your potential success in graduate school.
Include research advisors
Include instructors with whom you have taken more than one course, or with whom you have worked closely with on projects
Include relevent employers
Personal Statement
Who are you outside of your test scores and transcripts? What distinguishes you?
What are your plans for graduate study and career, and how will this program help you achieve your goals?
WHat previous research and leadership experience do you have, and how has it prepared you for success?
Have you overcome any hardships or obstacles that shows your determination and passion (may also be used to explain any gaps or poor metrics in your academic record)?
How do your research interests fit with the interests of faculty in the program?
Transcripts
From each institution of higher learning
GRE
Does your program and degree require them? Some do not.
Plan ahead too allow time to retake if desired
TOEFL/IELTS
Required for all non-native English speakers
Always alert faculty of interest to your application. A professor who is impressed with you is a powerful advocate.
截止申请时间:
4月1日
Computer science animates our world, driving knowledge creation and innovation that touches every aspect of our lives, from communications devices to the latest medical technology. With significant strengths in the three core areas of computer science—computer systems, theory and artificial intelligence—our department fosters highly productive collaborations that have led to breakthroughs in cyber-physical systems, cybersecurity, machine learning and high-performance computing among other areas. We are applying these discoveries to address some of the most critical societal challenges of the 21st century, in fields such as healthcare, neuroscience and sustainability.
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