21秋-香港城市大学-工程管理-新东方前途出国

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    21秋-香港城市大学-工程管理

    背景介绍
    申请难点
    留学规划与提升
     
     
     
    Programme Aims and Objectives

    The programme aims to equip students with:

    • extensive knowledge in engineering management in supporting problem solving, decision making and undertaking projects of discovery and innovation;
    • managerial skills, including, behavioural and communication skills, needed in the effective transition from the role of an engineer to that of an engineering manager;
    • the ability to integrate and apply engineering and managerial knowledge in the management of engineering projects, operations, products and services in engineering/manufacturing enterprises and departments;
    • the ability to generate innovative ideas, to undertake engineering management projects/research and turn the discovery &  innovative ideas into practical implementation.
    Entrance Requirements

    Applicants should satisfy the General Entrance Requirements and the following programme specific entrance requirements:

    • hold a degree in engineering, science or equivalent; or
    • be a graduate member or a non-member qualified for graduate membership of professional institutions, for example, the Hong Kong Institution of Engineers (HKIE), member institutions of the Engineering Council (UK) and other recognized professional institutions; or
    • qualifications with evidence of academic and professional attainment acceptable to the University

    English Proficiency Requirements

    Applicants whose entrance qualification is obtained from an institution where the medium of instruction is NOT English should also fulfill the following minimum English proficiency requirement:

    • a score of 550 (paper-based test) or 59 (revised paper-delivered test) or 79 (Internet-based test) on the Test of English as a Foreign Language (TOEFL)@#; or
    • an overall band score of 6.5 in International English Language Testing System (IELTS)@; or
    • band 6 in the Chinese mainland’s College English Test; or
    • other equivalent qualifications.

    @TOEFL and IELTS scores are considered valid for two years. Applicants are required to provide their English test results obtained within the two years preceding the commencement of the University's application period. 

    # Applicants are required to arrange for the Educational Testing Service (ETS) to send their TOEFL results directly to the University. The TOEFL institution code for CityU is 3401.

    Fellowships Scheme

    Fellowship awards are available for local students admitted to this programme under the Fellowships Scheme supported by the HKSAR Government. This programme in the priority area of “Sustainable City” is one of the targeted programmes listed under the Fellowships Scheme with 5 fellowship awards. Local students admitted to the programme in full-time, part-time or combined study mode will be invited to submit applications for the fellowships. 

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    学生背景:  南京农业大学 (一本)   土木工程 大四 应届  绩点 2.8  雅思6.5, 实习经历和科研经历

    Course Description

    Required core courses

    This block aims to develop a basic understanding of engineering management, to provide a broad range of knowledge and to enhance professional practices in engineering management. It includes the following courses:

    • Engineering Management Principles and Concepts
    • Operations Management
    • Project Management
    • Technological Innovation and Entrepreneurship

     

    Elective courses

    SEEM Electives:

    • Asset and Maintenance Management
    • Business Process Improvement and Innovation
    • Dissertation
    • Engineering Economic Analysis
    • Estimation and Control of Random Dynamic Systems
    • Financial Engineering for Engineering Managers
    • Industrial Case Study
    • Industrial Marketing Management for Engineers
    • Managing Strategic Quality
    • Managerial Decision-making Systems with Artificial Intelligence
    • Project Management
    • Quality Improvement: Systems and Methodologies
    • Quality and Reliability Engineering
    • Risk And Decision Analysis
    • Supply Chain Management
    • Systems Modelling and Management
    • Technological Innovation and Entrepreneurship

    Non-SEEM Electives:

    • Data Analytics for Smart Cities
    • Data Mining and Knowledge Discovery
    • Forecasting Methods for Business
    • Global Human Resource Management
    • International Organizational Behavior
    • Linear Systems Theory and Design
    • Managing International Business
    • Predictive Modeling and Forecasting for Business
    • Queueing Theory with Telecommunications Applications
    • Statistical Data Analysis
    • Sustainable Green Manufacturing

    Remarks: Course offering is subject to sufficient enrollment.

    2021-03-28

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