这八个分支分别是: Applied Psychology in Schools Child and Adolescent Development Early Childhood Education English Language for Teaching Inclusive Education School Leadership for Management Subject Knowledge for Teaching Mathematics at Junior Levels Teaching Mathematics at Junior Levels
继管理学硕士项目后,近日,芝加哥大学Booth商学院再次宣布推出一个新硕士项目——金融学硕士(Master in Finance),这也是芝加哥大学布斯商学院今年开设的第二个新硕士专业!目前,该项目已开放24fall申请,首轮截止时间为24年1月25日!下面,我们一起来简单了解更多相关内容! 一、项目简介: 芝加哥大学Booth商学院金融学硕士项目是为在定量研究领域取得成就的应届大学毕业生设计的,该项目为学生提供广泛的金融教育,让学生为驾驭这个多学科行业的复杂性做好必要的软硬技能准备。通过向世界顶尖学习金融学者,学生将在现有的定量背景基础上发展当今金融公司所寻求的技能。该课程有15个月(标准)或10个月(加速)两种选择,并设有四个分支方向:资产管理、投资银行、金融科技、金融研究。
案例展示 G同学 UIC-应用心理学 GPA2.7+,IELTS6.5 录取结果: University of Southampton--健康心理学
下面,我们一起来简单了解该项目的一些信息~
一、项目简介:
南安普顿大学健康心理学硕士项目由健康心理学、干预和研究方法不同领域的活跃的领先研究人员和专家教授,学生将有机会参加健康心理学临床和社区应用中心研究人员的研讨会。 该项目将教育、科学和专业心理学原则应用于: 促进和保持健康 研究疾病的原因 预防、诊断、治疗和康复身体疾病 身体疾病中的心理、社会、情感和行为因素 改善医疗保健 健康政策的制定 该课程将围绕三个主题,分别是: biopsychosocial aspects of health psychosocial aspects of illness and disability psychological aspects of the delivery of health care
二、课程结构: 必修模块: Applied Research Methods (ARM): Correlational Methods Applied Research Methods (ARM): Planning & Designing Research Applied Research Methods: Qualitative Methods Applied Research Methods: Statistical Analysis of Comparisons & Group Differences Biopsychosocial Aspects of Health MSc Dissertation MSc Health Psychology Skills Training Programme Psychology & The Delivery of Health Care Psychosocial Aspects of Illness and Disability 选修模块: Advanced Statistical Methods in Psychology Ageing, Health and Well-being Apprenticeship in Health Psychology CBT for Anxiety Presentations (Short) Concepts & Skills Demographic Change, Ageing & Globalisation Evidence Synthesis Human Sexual Diversity International Social Policy Introduction to CBT Theory & Skills Mixed Methods Moral Psychology Open Science in Psychology Philosophy of Social Science Research Qualitative Methods 2 Researching Ageing Societies Social and Psychological Approaches to Understanding Sexual Health Statistical Programming in R
二、课程结构: 该项目的核心课程侧重于基于对经济和制度力量的实际理解的评估和分析的基础,其他主题包括单个股票、债券、衍生工具、货币和其他金融工具的资产评估,重点是分析在金融市场交易的金融资产的价格。 1、必修课: Business foundations (6 credits): BU.120.601 Business Communication BU.131.601 Business Leadership and Human Values BU.510.601 Statistical Analysis
Functional core (12 credits): BU.210.620 Accounting and Financial Reporting BU.231.620 Corporate Finance BU.232.710 Derivatives BU.230.620 Financial Modeling and Valuation BU.232.720 Fixed Income BU.232.701 Investments
STEM courses (8 credits): BU.232.610 Computational Finance BU.232.640 Empirical Finance BU.232.620 Linear Econometrics for Finance BU.232.630 Non-Linear Econometrics for Finance
2、选修课(选4门): BU.231.790 Advanced Corporate Finance BU.232.790 Advanced Hedge Fund Strategies BU.232.750 Advanced Portfolio Management BU.520.710 Big Data Machine Learning BU.220.620 Business Microeconomics BU.232.650 Continuous Time Finance BU.231.720 Corporate Governance BU.232.770 Cryptos and Blockchain BU.232.725 Emerging Markets BU.233.730 Entrepreneurial Finance BU.230.750 Financial Crises and Contagion BU.231.710 Financial Institutions BU.232.715 Financial Stability BU.210.650 Financial Statement Analysis BU.220.610 The Firm and the Macroeconomy BU.230.730 Managing Financial Risk BU.231.740 Mergers and Acquisitions BU.232.760 Private Equity BU.232.780 The Student Managed Investment Fund BU.232.730 Wealth Management Free Carey Elective
学生将选择提供的八个专业之一以及所选专业的基础单元,将通过完成各种学科领域的选择性单元来增加课程的广度。这八个专业方向分别是: Accounting Business Information Systems Business Analytics Economics Finance Global Logistics Marketing Strategy, Innovation and Management
2、课程结构: 该项目的学生需完成30学分课程,其中可选择5门核心课程+ 5门选修课,或5门核心课程+论文+ 2门选修课。 核心课程: Take all (6 credit units) as below: Advanced Automation Technology Advanced Thermo-fluid
And select three courses (9 credit units) from below: Applied Engineering Mechanics Mechanical Behaviour of Materials: From Metallic to Biomedical/ Biological Materials Micro Systems Technology Microfluidics: From Fundamentals to Applications Modern Robotics Sensors for Robotics, AI, and Control Systems
选修课程(15 credit units): Advanced Machine Learning and Quantum Computation for Engineering Advanced Micro/Nano Robotics Applied Engineering Mechanics # Bio-inspired Robots Biomedical Instrumentation CAD/CAM Integration Computer Controlled Systems Control Systems and Information Processing Directed Studies Dissertation Electron Microscopy Engineering Methods Manufacturing of Biomedical Devices Mechanical Behaviour of Materials: From Metallic to Biomedical/ Biological Materials # Mechanical Design with Advanced Material & Additive Manufacturing Micro Systems Technology # Microfluidics: From Fundamentals to Applications # Modern Robotics # Nano-manufacturing Principles of Nuclear Engineering Risk and Reliability Engineering Sensors for Robotics, AI, and Control Systems # Sustainable Engineering Practice
二、香港理工大学-机械工程硕士(Master of Science in Mechanical Engineering) 1、项目简介: 香港理工大学的机械工程硕士课程提供提供四个专业方向,分别是: Aerospace Engineering Air/Noise Pollution Management Green Energy Product Development and Analysis 该课程切合香港目前的经济和社会情况,即大陆地区加入世贸后的CEPA、产品开发和分析的迅速发展、环境污染造成的持续压力,以及对航空航天工程合格毕业生日益增长的需求。该课程培养学生面对这些挑战,并采取塑造大中华区(尤其是香港)的未来。 该课程允许学生学习相关技术领域的课程,如机械工程、空气污染控制、噪音污染控制、产品开发和分析、航空航天工程、绿色能源、计算机、市场营销、管理等。它还允许学生选择多门课程,以获得专业学位。学生将有望在广泛领域的各种形式和机会中促进其职业发展,包括各种工业部门、以博士为导向的研究、教育和培训等。
2、课程结构: 该课程共有五个核心研究领域:Mechanical Engineering、Aerospace Engineering、Air/Noise Pollution Management、Green Energy、和Product Development & Analysis,但所需完成的必修课程和选修课程各不相同,例如选择机械工程硕士课程的学生可以选择工程学院下属各系提供的广泛课程,也可以选择其他学科,如会计、建筑和环境以及物流。
2、课程结构: 该项目的学生将学习六个20学分的基础必修模块和一个60学分的数据科学项目: Algorithms for Data Science - 20 credits Current Topics in Data Science - 20 credits Data Science Group Project - 20 credits Programming in Data Science - 20 credits Project in Data Science - 60 credits Storing and Managing Data - 20 credits Visualisation - 20 credits
同学们注意啦,香港大学社会学科学院在2024秋申请季中又推出一年制新项目——社会数据分析领域硕士(Master of Social Sciences in the field of Social Data Analytics),且首轮截止时间为2024年2月28日!详情如何?我们一起来看看~ 1、项目简介: 香港大学社会数据分析(SDA)是指对人类和社会互动中产生的大量或复杂数据的分析,更侧重于社会科学数据和理论。SDA领域的MSocSc满足了本科生日益增长的需求,即获得必要的技术和分析技能,以利用现代计算建模方法和大型自然数据集来揭示人们如何在群体、市场和国家中思考、决策和行动。它旨在提供行业和博士课程高度寻求的技能。