网站导航   4000-006-150  
小站教育
   首页
学生选择在小站备考:30天 524186名,今日申请1769人    备考咨询 >>

工程与应用科学

决策,信息和通信工程(DICE)

 学校:  

德克萨斯大学奥斯汀分校

   硕士生项目

MS in Decision, Information, and Communications Engineering (DICE)

标准考试成绩要求

TOFEL:79

IELTS:6.5

学年学制

24 hours/27 hours/ 30 hours of course work.

学年学费

$1,629 per credit hour

奖学政策

提供奖学金

所在校区

暂无

专业排名

暂无

招生人数

暂无

录取要求

Every master’s degree program assumes that participants have a general college education through the baccalaureate level. Accordingly, to enter a master’s degree program a student must hold a baccalaureate degree from a regionally accredited United States institution or proof of equivalent training outside the United States. He or she must also have taken at least twelve semester hours of upper-division undergraduate coursework in the area of the proposed graduate major or must have the consent of the graduate dean. Some areas may require more undergraduate preparation. Students who lack adequate preparation may be admitted to a graduate program on the condition that they complete additional preparatory coursework designated by the graduate adviser. These courses are in addition to the thirty semester hours or more required for the master’s degree itself.

Academic advising with a faculty or staff member, which is required for some majors, but optional for others,

Registering for classes online, and

Paying a tuition and fee bill or confirming attendance

申请材料清单

Choose an academic track

UT ECE offers 9 different Academic Tracks of study. It is very important that you select the academic track that best fits your choice of Graduate Major. Once you begin the application to Graduate School, you will NOT be able to change your Academic Track. It is very important that you research all the academic tracks in UT ECE to learn which track best fits your interests and goals, before you begin the application to Graduate School.

Complete the Application for Graduate Admissions

Please complete the instructions for Admissions to Graduate School in Engineering. The deadline to apply for Summer 2018, Fall 2018 and Spring 2019 is December 15, 2017. You must have your application completed and submitted by this deadline in order to be considered.

Statement of Purpose and Resume

Make sure you upload your Statement of Purpose and Resume (or CV) when you come to those sections on the application. Your Statement of Purpose should be a summary of your academic and professional goals, as well as a description of the research work you have done in your past, and what research work you plan to do as a graduate student at UT. Please make sure these documents are edited to your liking before you upload them, for they cannot be deleted once they have been uploaded to your application.

Letters of Recommendation

Make sure you enter the valid e-mail address of each referee you want to submit a recommendation for you when you get to that section on the application. Please use the university domain address for each professor you are requesting a reference. Once you have completed this section of the application, a notice will be sent to each referee showing them where to go to complete a recommendation for you using our online system. Three is only the minimum number of recommendations required to accompany your application. You are welcome to add more.

Upload a copy of your transcript(s)

After you have completed and submitted your application to Graduate School and paid your application fee, upload a copy of your transcript(s). After you have submitted your application, you will receive an email that contains a link to the Status Check web site where you will be able to upload your transcript. Your uploaded transcript(s) are considered to be unofficial, but will be used to process your application for admission. DO NOT mail official transcripts or paper copies of your transcripts to the University of Texas. Sending paper copies of documents you have uploaded will significantly delay the processing of your application. See instructions for uploading the pdf of your transcript(link is external).

Send GRE scores to The University of Texas at Austin from the Education Testing Service (ETS)

Send an official set of your GRE scores to the University of Texas from the Education Testing Service (ETS). Only the general GRE exam is required. International students are also required to submit TOEFL. We suggest you sit no later than December 1 for the GRE and TOEFL exams in order to comply with our December 15 deadline. Our university and program testing codes for ETS exams are as follows:

Institution code : 6882

GRE code: 1203

TOEFL code : 66

REMINDER : DO NOT mail paper copies of your application documents (transcripts, recommendations, Statement of Purpose, and Resume) to the University of Texas. The application to UT ECE is entirely electronic and allows for online submission of all of your application materials. Paper documents will not be reviewed and will significantly delay the processing of your application to Graduate School.

截止申请时间:

12月15日

专业介绍

This track involves research and design in the following fields: (1) Communications and networking: all aspects of transmission of data, including: wireless communications, communication theory, information theory, networking, queueing theory, stochastic processes, sensor networks; (2) Data science and machine learning: all aspects of extraction of knowledge from data, including: algorithms, data mining, optimization, statistics, pattern recognition, predictive analytics, artificial intelligence; and (3) Controls, signals, and systems: estimation and detection; signal, image and video processing; linear and nonlinear systems.

MS degree

Students can elect three degree options, each requiring a different number of course units.

Students electing the MS Thesis option must complete 24 hours in addition to registering for EE698A and EE698B. The eight courses (24 hours) must include at least 5 courses of major work, and 2 courses (at least one at the graduate level) of supporting work.

Students electing the MS Report option must complete 27 hours in addition to registering for EE398R. The nine courses (27 hours) must include at least 6 courses of major work, and 2 courses (at least one at the graduate level) of supporting work.

Students electing the No-thesis/No-report option must complete 30 hours of course work. The ten courses (30 hours) must include at least 7 courses of major work, and 2 courses (at least one at the graduate level) of supporting work.

EE397K.1 Conference Courses may not be counted as part of the course work total above, regardless of option.

For the thesis option, the student must take EE698A exactly once, in a separate semester before taking EE698B. EE698B must be taken in the semester the student is to receive the MS degree. EE698A/B do not count toward the 24 hours of formal course work required.

For the report option, the student must take EE398R in the semester the student is to receive the MS degree. EE 398R does not count toward the 27 hours of formal course work required.

For all options, no more than 6 semester hours of upper-division undergraduate coursework can be included in the program of formal coursework. In addition, no course with a grade less than C and at most one course with a grade of C can be included in the program of work.


课程设置

  • EE 197C: Research Problems
  • EE 360L-6: Operating Systems
  • EE 380K: Introduction to System Theory
  • EE 380L: Computer Systems in Engineering
  • EE 380L-05: Engineering Programming Languages
  • EE 380L-10: Data Mining
  • EE 380N: Topics in System Theory
  • EE 380N-7: Design of Computer-Controlled Systems
  • EE 380N-9: Fundamentals of Robot and Mechatron
  • EE 381J: Probability and Stochastic Processes I
  • EE 381K: Topics in Communication Theory and Signal Processing
  • EE 381K-05: Advanced Telecommunication Networks
  • EE 381K-07: Information Theory
  • EE 381K-08: Digital Signal Processing
  • EE 381K-11: Wireless Communications
  • EE 381K-13: Analysis and Design of Communication Networks
  • EE 381L: Digital Time Series Analysis and Applications
  • EE 381M: Probability and Stochastic Processes II
  • EE 381R: Advanced Wireless Communications
  • EE 381S: Space-Time Communication
  • EE 381V: New Topics in Communications, Networks, and Systems
  • EE 381V-01: Advanced Probability: Learning/Inference/Networks
  • EE 381V-02: Advanced Data Mining
  • EE 381V-03: Convex Optimization Theory
  • EE 381V-04: Game Theory
  • EE 381V-05: Stochastic Geometry
  • EE 382-N: Communication Networks: Tech/Arch/Protocol
  • EE 382C: Topics in Computer Engineering
  • EE 382C-03: Verification and Validation of Software
  • EE 382C-07: Software Architectures
  • EE 382C-10: Empirical Standards in Software Engineering
  • EE 382C-11: Requirements in Engineering
  • EE 382L: Theory of Digital Systems
  • EE 382L-1: Switching Theory
  • EE 382L-2: Graph Theory and Applications
  • EE 382M: Design of Digital Systems
  • EE 382M-07: Introduction to VLSI Design
  • EE 382M-08: VLSI II
  • EE 382M-14: Analog Integrated Circuit Design
  • EE 382M-15: Computing Performance Evaluation/Benchmarking
  • EE 382M-19: Mixed Signal System Design and Modeling
  • EE 382N: Computer Systems and Networks
  • EE 382N-01: Computer Architecture
  • EE 382N-10: Parallel Computer Architecture
  • EE 382N-11: Distributed Systems
  • EE 382N-14: High-Speed Computer Arithmetic I
  • EE 382N-16: Distributed Information System Security
  • EE 382N-17: Superscalar Microprocessor Architecture
  • EE 382N-20: Computer Architecture: Parallism/Locality
  • EE 382S: Topics in Integrated Circuits and Systems
  • EE 382V: New Topics in Computer Engineering
  • EE 382V-1: Advanced Programming Tools
  • EE 382V-2: Dynamic Compilation
  • EE 382V-3: Security Hardward-Software Interference
  • EE 382V-4: Radio Frequency Integrated Circuit Design
  • EE 382V-5: Software Evolution
  • EE 382V-6: Software Measurement/Metric
  • EE 382V-7: Software Testing
  • EE 382V-8: VLSI Physical Design Automation
  • EE 383L: Electromagnetic Field Theory
  • EE 383M: Microwave Field Theory
  • EE 383N: Theory of Electromagnetic Fields: Electrodynamics
  • EE 383P: Topics in Optical Processing and Laser Communications
  • EE 383P-06: Semiconductor Optoelectronic Devices
  • EE 383P-08: Optical Communications
  • EE 383V: New Topics in Electromagnetics
  • EE 383V-1: Nanophotonics
  • EE 383V-2: Nonlinear Optics
  • EE 383V-3: Computational Electromagnetics
  • EE 383V-4: Radar Principles
  • EE 384N: Acoustics
  • EE 384N-1: Acoustics I
  • EE 384N-3: Electromechanical Transducers
  • EE 384V: Current Topics in Acoustics
  • EE 385J: Topics in Biomedical Engineering
  • EE 385J-18: Biomedical Imaging: Signals and Systems
  • EE 385J-31: Biomedical Electronic Instrument Design
  • EE 385V: New Topics in Biomedical Engineering
  • EE 390C: Statistical Methods in Engineering and Quality Assurance
  • EE 390V: New Topics in Manufacturing Systems Engineering
  • EE 391C: Technical Entrepreneurship
  • EE 392K: Antenna Theory and Practice
  • EE 392N: Principles of Radar
  • EE 393C: Plasma Dynamics
  • EE 394: Topics in Power System Engineering
  • EE 394-7: Power Electronics Laboratory
  • EE 394J: Energy Systems
  • EE 394L: Power Systems Apparatus and Laboratory
  • EE 394V: New Topics in Energy Systems
  • EE 396K: Solid-State Device Theory
  • EE 396K-21: Nanoscale Device Phys/Tech
  • EE 396M: Quantum Electronics
  • EE 396N: Topics in Nanotechnology
  • EE 396N-1: Semiconductor Nanostructures
  • EE 396V: New Topics in Solid-State Electronics
  • EE 397K: Advanced Studies in Electrical Engineering
  • EE-382M-2: Dependable Computing
德克萨斯大学奥斯汀分校攻略

相似学院

  • 纽约大学
    学校性质:私立
    学校规模:国家重点综合大学
    录取率:31%
  • 西北大学
    学校性质:私立
    学校规模:国家重点综合大学
    录取率:11%
  • 科罗拉多大学玻尔得分...
    学校性质:公立
    学校规模:国家普通综合大学
    录取率:76%
  • 诺丁汉大学
    学校性质:公立
    学校规模:国家重点综合大学
    录取率:12%
  • 洛克菲勒大学
    学校性质:私立
    学校规模:国家普通综合大学
    录取率:17%
  • 密歇根州立大学
    学校性质:公立
    学校规模:国家重点综合大学
    录取率:65%
  • 莱斯大学
    学校性质:私立
    学校规模:国家一级综合大学
    录取率:14%
  • 名古屋大学
    学校性质:公立
    学校规模:国家重点综合大学
    录取率:16%
  • 宾夕法尼亚州立大学大...
    学校性质:公立
    学校规模:国家一级综合大学
    录取率:55%
  • 悉尼大学
    学校性质:公立
    学校规模:国家重点综合大学
    录取率:16%
版权申明| 隐私保护| 意见反馈| 联系我们| 关于我们| 网站地图| 最新资讯
© 2011-2024 ZHAN.com All Rights Reserved. 沪ICP备13042692号-23 举报电话:4000-006-150
沪公网安备 31010602002658号
增值电信业务经营许可证:沪B2-20180682