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工程与应用科学

工业与系统工程

 学校:  

利哈伊大学

   硕士生项目

MS in Industrial & Systems Engineering

标准考试成绩要求

TOFEL:79

IELTS:6.5

学年学制

1 Year

学年学费

$1,460/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

Have a broad knowledge of mathematics, science and general engineering. Furthermore, this knowledge can be applied to Industrial Engineering related problems.

Have a fundamental grounding in the fields of statistics, manufacturing, operations research, information technology, production analysis and control, and operations management that reflect current needs and trends.

Have the detailed and relevant knowledge and ability to perform design and solve problems related to integrated systems that include people, materials, information, equipment, and energy.

Have the ability to design, conduct, and analyze experiments in laboratories, companies, and on systems models.

Have the ability to form, lead, and participate on multi-disciplinary teams that solve problems in engineering and business.

Have an awareness of global, societal, and discipline specific issues necessary to identify, formulate and solve problems.

Be aware of the NSPE professional code of ethics and have an appreciation of social and legal concerns.

Have the ability to seek out, understand and apply new information and procedures to their professional development, thus giving them an appreciation for life-long learning.

Communicate effectively through oral and written presentations using appropriate technologies.

申请材料清单

Admission Status

An applicant may be admitted to a graduate program as a regular or an associate graduate student. Only regular graduate students are candidates for graduate degrees. Students who do not wish to enter a degree program may be admitted as non-degree students; see this link for information on how to apply as a non-degree student. International students must be admitted under regular status for immigration paperwork to be completed. Except for qualified Lehigh undergraduates, only those who have been officially admitted as regular, associate, or non-degree students may register for graduate courses.

Prospective graduate students who do not qualify for regular student status may be offered admission with associate graduate student status. However, since each department's classification and requirements of associate students is different, you must check with the department to determine if you qualify to be admitted under associate status. Associate students must complete the first nine consecutive credit hours with at most one grade below B-. They will not be permitted to continue if they receive a grade below C. After nine credit hours of coursework, associate students must petition for regular status. Individual departments may require more rigorous probationary standard.

Policy of Equality

It is the policy of Lehigh University to provide equal opportunity on the basis of merit and without discrimination because of race, color, religion, sex, age, national original citizenship status, handicap, or veteran status.

International Students

International applicants to the Graduate Programs of the P.C. Rossin College of Engineering and Applied Science must hold a Bachelor's degree from an accredited U.S. institution or an equivalent foreign degree. Transcripts must be in the original language with an official English translation attached.

English Proficiency

Either the Internet-based TOEFL (Test of English as a Foreign Language) or IELTS (International English Language Test System) is required for all graduate students whose FIRST language is not English. All international students must show proof of English proficiency to be admitted to Lehigh. The English proficiency requirement may be waived if a student has completed a degree program at a U.S. university within the past two years. A waiver of this requirement will be granted after a review of the submitted online application materials. Applicants should check with the appropriate admission office to verify if they are eligible for a waiver.

The scores below represent minimum individual section and composite TOEFL iBT levels that applicants must attain in order to be admitted to the P.C. Rossin College of Engineering & Applied Science graduate programs without conditional English enhancement training. Please note that some individual departments or programs may have higher minimum requirements. Applicants should consult with the department or program of interest directly in order to be certain of the requirements that apply to them.

Internet-based TOEFL

Reading — 20

Listening — 15

Speaking — 20

Writing — 20

COMPOSITE — 79

IELTS

Reading — 6.5

Listening —6.0

Speaking —6.5

Writing — 6.0

OVERALL — 6.5

For unconditional admission, applicants MUST:

Obtain or exceed ALL minimum section scores

Obtain or exceed the COMPOSITE/OVERALL minimum score.

Applicants with test scores that do not meet the above minimum requirements can still be considered for admission with conditional English enhancement training required. In such cases applicants should consult with the department or program of interest for more details.

If the TOEFL iBT is currently not available in your home country you may still submit paper-based scores at this time. A minimum score of 550 for paper based scores is required. TOEFL information may be obtained from ETS at ets.org/toefl. Lehigh's institutional code is 2365. IELTS information can be found at ielts.org. Official test scores must be submitted from the testing agencies directly in order for this requirement to be satisfied.

截止申请时间:

1月15日

专业介绍

The Industrial and Systems Engineering (ISE) graduate program is global in scope for students interested in pursuing research at the cutting edge of the discipline.

ISE research areas include operations research and logistics, information systems and technologies, and manufacturing systems and processes. Active research projects investigate supply chain logistics, electronic market intermediaries, discrete and combinatorial optimization, replacement analysis, transportation logistics, and parallel algorithms.

A one-year M.S. in management science (non-thesis) offers courses in engineering and business/economics, and an M.S. in quality engineering is available through distance learning.

课程设置

  • ISE 100 Industrial Employment 0 Credits
  • ISE 111 Engineering Probability 3 Credits
  • ISE 112 Computer Graphics 1 Credit
  • ISE 121 Applied Engineering Statistics 3 Credits
  • ISE 131 Work Systems and Operations Management 3 Credits
  • ISE 132 Work Systems Laboratory 1 Credit
  • ISE 168 (EMC 168) Production Analysis 3 Credits
  • ISE 172 Algorithms in Systems Engineering 4 Credits
  • ISE 215 Fundamentals of Modern Manufacturing 3 Credits
  • ISE 216 Manufacturing Laboratory 1 Credit
  • ISE 224 Information Systems Analysis and Design 3 Credits
  • ISE 226 Engineering Economy and Decision Analysis 3 Credits
  • ISE 230 Introduction to Stochastic Models in Operations Research 3 Credits
  • ISE 240 Introduction to Deterministic Optimization Models in Operations Research 3 Credits
  • ISE 251 Production and Inventory Control 3 Credits
  • ISE 254 Senior Project 3 Credits
  • ISE 255 Senior Thesis I 3 Credits
  • ISE 256 Senior Thesis II 3 Credits
  • ISE 275 Fundamentals of Web Applications 3 Credits
  • ISE 281 Leadership Project 1-3 Credits
  • ISE 300 Apprentice Teaching 1-4 Credits
  • ISE 305 Simulation 3 Credits
  • ISE 316 Optimization Models and Applications 3 Credits
  • ISE 319 Facilities Planning and Material Handling 3 Credits
  • ISE 320 3 Credits
  • ISE 321 Independent Study in Industrial & Systems Engineering 1-3 Credits
  • ISE 324 Industrial Automation and Robotics 3 Credits
  • ISE 328 Engineering Statistics 3 Credits
  • ISE 332 Product Quality 3 Credits
  • ISE 334 Organizational Planning and Control 3 Credits
  • ISE 339 Stochastic Models and Applications 3 Credits
  • ISE 340 Production Engineering 3 Credits
  • ISE 341 Data Communication Systems Analysis and Design 3 Credits
  • ISE 347 Financial Optimization 3 Credits
  • ISE 355 Optimization Algorithms and Sortware 3 Credits
  • ISE 356 Introduction to Systems Engineering and Decision Analysis 3 Credits
  • ISE 357 Introduction to Industrial Engineering Mathematics 3 Credits
  • ISE 358 (ECO 358) Game Theory 3 Credits
  • ISE 362 (MSE 362) Logistics and Supply Chain Management 3 Credits
  • ISE 364 Introduction to Machine Learning 3 Credits
  • ISE 365 Applied Data Mining 3 Credits
  • ISE 367 Mining of Large Datasets 3 Credits
  • ISE 372 Systems Engineering Design 3 Credits
  • ISE 382 Leadership Development 3 Credits
  • ISE 401 Convex Analysis 3 Credits
  • ISE 402 Applied Models in Operations Research 3 Credits
  • ISE 404 Simulation 3 Credits
  • ISE 405 Special Topics in Industrial & Systems Engineering 3 Credits
  • ISE 406 Introduction to Mathematical Optimization 3 Credits
  • ISE 407 Computational Methods in Optimization 3 Credits
  • ISE 409 Time Series Analysis 3 Credits
  • ISE 410 Design of Experiments 3 Credits
  • ISE 411 Networks and Graphs 3 Credits
  • ISE 412 Quantitative Models of Supply Chain Management 3 Credits
  • ISE 413 Asset Valuation 3 Credits
  • ISE 416 Dynamic Programming 3 Credits
  • ISE 417 Nonlinear Optimization 3 Credits
  • ISE 418 Discrete Optimization 3 Credits
  • ISE 419 Planning and Scheduling in Manufacturing and Services 3 Credits
  • ISE 420 Service Systems Engineering 3 Credits
  • ISE 424 Robotic Systems and Applications 3 Credits
  • ISE 425 Advanced Inventory Theory 3 Credits
  • ISE 426 Optimization Models and Applications 3 Credits
  • ISE 429 Stochastic Models and Applications 3 Credits
  • ISE 430 Management Science Project 3 Credits
  • ISE 431 Operations Research Special Topics 3 Credits
  • ISE 433 Manufacturing Engineering Special Topics 3 Credits
  • ISE 437 Advanced Database Analysis and Design 3 Credits
  • ISE 438 Advanced Data Communication Systems Analysis and Design 3 Credits
  • ISE 439 Queueing Systems 3 Credits
  • ISE 441 Financial Engineering Projects 3 Credits
  • ISE 442 Manufacturing Management 3 Credits
  • ISE 443 (MSE 443) Automation and Production Systems 3 Credits
  • ISE 444 Optimization Methods in Machine Learning 3 Credits
  • ISE 445 Assembly Processes and Systems 3 Credits
  • ISE 447 Financial Optimization 3 Credits
  • ISE 455 Optimization Algorithms and Software 3 Credits
  • ISE 456 Conic Optimization 3 Credits
  • ISE 458 Topics in Game Theory 3 Credits
  • ISE 460 Engineering Project 1-3 Credits
  • ISE 461 Readings 1-3 Credits
  • ISE 465 Applied Data Mining 3 Credits
  • ISE 467 Mining of Large Datasets 3 Credits
  • ISE 470 Introduction to Healthcare Systems 3 Credits
  • ISE 471 Quality and Process Improvement in Healthcare 3 Credits
  • ISE 472 Financial Management in Healthcare 3 Credits
  • ISE 473 Information Technology in Healthcare 3 Credits
  • ISE 474 Healthcare Systems Engineering Capstone Project 3 Credits
  • ISE 475 Healthcare Systems Project 1-3 Credits
  • ISE 482 Leadership Development 3 Credits
  • ISE 490 Thesis 1-6 Credits
  • ISE 499 Dissertation 1-15 Credits
利哈伊大学攻略

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