国际学生入学条件
The following are the general requirements for admission to our graduate program:
A bachelor's degree at a recognized four-year college or university. A minimum grade average of 3.2 in the major field of study and an overall cumulative index of 3.0 is required.
All applicants to our graduate program are expected to have scholarly competence in mathematics and computer programming. If you do not have a degree in computer science or a related area, you must have taken the basic undergraduate courses in computer science and math listed under ''pre-requisite courses'' below.
GRE test scores
For foreign applicants: TOEFL test scores
Three letters of recommendation from professors (preferably), employers, or others who have had a supervisory relationship with you and are able to assess your potential for success in graduate studies.
It is suggested, but not required, that students provide official documentation of their relative ranking within their class.
TOEFL - Internet test: 79, Computer test: 213, Old paper test: 550, IELTS 6.5
展开 IDP—雅思考试联合主办方
雅思考试总分
6.5
了解更多
雅思考试指南
- 雅思总分:6.5
- 托福网考总分:79
- 托福笔试总分:550
- 其他语言考试:NA
CRICOS代码:
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
计算机和信息科学系(CIS)提供通往博士学位和MS学位的课程。计算机科学是一个充满活力和令人兴奋的研究领域,其重要性在不断增长。计算机科学程序的范围很广,涉及软件和硬件技术,计算理论,科学计算及其应用。部门的研究优势包括人工智能(机器学习,多主体系统,计划和问题解决),生物信息学,计算理论(计算学习理论,算法设计和分析,可计算性理论),并行机的编译器优化和编译,自然语言处理,(话语和对话,生成,信息提取,汇总),系统(并行和分布式计算,网格和志愿者计算,大规模并行性的算法和架构设计),网络(分布式计算,传
The Department of Computer and Information Sciences (CIS) offers programs leading to the Ph.D. and M.S. degrees. Computer science is a vigorous and exciting field of research and study that continues to grow in importance. Computer science programs are broad in scope and deal with software and hardware technology, the theory of computation, scientific computing, and their applications. Departmental research strengths include artificial intelligence (machine learning, multiagent systems, planning and problem solving), bioinformatics, computational theory (computational learning theory, design and analysis of algorithms, computability theory), compiler optimization and compilation for parallel machines, natural-language processing, (discourse and dialogue, generation, information extraction, summarization), systems (parallel and distributed computing, grid and volunteer computing, algorithm and architecture design for massive parallelism), networks, (distributed computing, transport layer protocols, mobile and wireless networks, algorithm and architecture design for massive parallelism, networks management, security performance modeling, simulation), graphics and computer vision, rehabilitation engineering (augmentative communication, speech recognition and enhancement), software engineering (program analysis and testing), and symbolic mathematical computation (algebraic algorithms, parallelization), and robotics.
展开