美国德保罗大学数据科学硕士专业 带你引领了大数据时代!

  近些年,数据平台的出现让人与人之间的信息分享越来越容易,机器与机器之间的信息分享也越来越方便,数据分析人才也成为了各行各业中不可或缺的人才,目前国内鲜少有大学开设此专业,而美国很多大学都开设了数据科学专业,其中最出色的就是德保罗大学,下面,小编就带大家深入了解美国德保罗大学数据科学硕士专业,希望对大家有所帮助:

  MS Data Science

  数据科学硕士课程将为您提供技术知识和高级计算技能,以迎接大数据分析领域的新挑战。通过校园和在线课堂学习模式,你可以在任何时间、任何地点与杰出的教师一起开启数据科学的职业生涯。我们的在线学习项目复制了课堂体验,100%使用软件、教师顾问、就业服务和校友网络。了解如何管理和分析复杂数据,开发支持决策的数据科学模型,并有效地将分析结果传达给非技术听众。

  课程设置:

  Computational Methods Concentration

  入门课程

  IT 403 Statistics and Data Analysis

  CSC 412 Tools and Techniques for Computational Analysis

  CSC 401 Introduction to Programming

  基础课程

  DSC 450 Database Processing for Large-Scale Analytics

  DSC 423 Data Analysis and Regression

  DSC 424 Advanced Data Analysis

  DSC 430 Python Programming

  DSC 441 Fundamentals of Data Science

  Students must take 1 course in applied analytics chosen among:

  DSC 465 Data Visualization

  DSC 480 Social Network Analysis

  高级课程

  DSC 478 Programming Machine Learning Applications

  CSC 555 Mining Big Data

  DSC 540 Advanced Machine Learning

  Students must take 1 course among the following:

  CSC 521 Monte Carlo Algorithms

  CSC 575 Intelligent Information Retrieval

  CSC 578 Neural Networks and Deep Learning

  选修课程

  DSC 425 Time Series Analysis and Forecasting

  DSC 433 Scripting for Data Analysis

  CSC 452 Database Programming

  DSC 465 Data Visualization

  DSC 478 Programming Machine Learning Applications

  CSC 481 Introduction to Image Processing

  CSC 482 Applied Image Analysis

  DSC 480 Social Network Analysis

  DSC 484 Web Data Mining

  CSC 521 Monte Carlo Algorithms

  CSC 528 Computer Vision

  DSC 510 Health Data Science

  DSC 540 Advanced Machine Learning

  CSC 543 Spatial Databases and Geographic Information Systems

  CMNS 549 Special Topics in Organizational Communication

  CSC 555 Mining Big Data

  CSC 575 Intelligent Information Retrieval

  CSC 576 Computational Advertising

  CSC 577 Recommender Systems

  CSC 578 Neural Networks and Deep Learning

  CSC 594 Topics in Artificial Intelligence

  CSC 598 Topics in Data Analysis

  DSC 484 Web Data Mining

  GEO 441 Geographic Information Systems (Gis) for Community Development

  GEO 442 Geographical Information Systems (Gis) for Sustainable Urban Development

  GPH 565 Designing for Visualization

  HCI 512 Information Visualization and Infographics

  IPD 451 Big Data and NoSQL Program

  IS 549 Data Warehousing

  IS 550 Enterprise Data Management

  IS 574 Business Intelligence and Analytics Systems

  IS 578

  MGT 559 Health Sector Management

  MGT 798 Topic: Managerial & Marketing Epidemiology*

  MKT 555 Marketing Management

  MKT 530 Customer Relationship Management

  MKT 534 Analytical Tools for Marketers

  MKT 595 Internet and Interactive Marketing

  MKT 570 Topic: Service Design & Patient Experience*

  MKT 798 Topic: Health Care Data Analysis

  Health Care Concentration

  入门课程

  IT 403 Statistics and Data Analysis

  CSC 412 Tools and Techniques for Computational Analysis

  CSC 401 Introduction to Programming

  基础课程

  DSC 430 Python Programming

  DSC 450 Database Processing for Large-Scale Analytics

  DSC 423 Data Analysis and Regression

  DSC 424 Advanced Data Analysis

  DSC 441 Fundamentals of Data Science

  Students must take 1 course in applied analytics chosen among:

  DSC 465 Data Visualization

  DSC 480 Social Network Analysis

  CSC 575 Intelligent Information Retrieval

  高级课程

  DSC 510 Health Data Science

  DSC 540 Advanced Machine Learning

  HIT 430 Electronic Health Records

  MGT 559 Health Sector Management or HIT 421 Health Informatics

  选修课程

  DSC 425 Time Series Analysis and Forecasting

  DSC 430 Python Programming

  DSC 433 Scripting for Data Analysis

  CSC 452 Database Programming

  DSC 465 Data Visualization

  DSC 478 Programming Machine Learning Applications

  CSC 481 Introduction to Image Processing

  CSC 482 Applied Image Analysis

  DSC 480 Social Network Analysis

  DSC 484 Web Data Mining

  CSC 521 Monte Carlo Algorithms

  CSC 528 Computer Vision

  DSC 540 Advanced Machine Learning

  CSC 543 Spatial Databases and Geographic Information Systems

  CSC 555 Mining Big Data

  CSC 575 Intelligent Information Retrieval

  CSC 576 Computational Advertising

  CSC 578 Neural Networks and Deep Learning

  CSC 594 Topics in Artificial Intelligence

  CSC 598 Topics in Data Analysis

  DSC 484 Web Data Mining

  GEO 441 Geographic Information Systems (Gis) for Community Development

  GEO 442 Geographical Information Systems (Gis) for Sustainable Urban Development

  GPH 565 Designing for Visualization

  HCI 512 Information Visualization and Infographics

  IPD 451 Big Data and NoSQL Program

  IS 549 Data Warehousing

  CMNS 549 Special Topics in Organizational Communication

  IS 550 Enterprise Data Management

  IS 574 Business Intelligence and Analytics Systems

  IS 578

  Hospitality Concentration

  入门课程

  IT 403 Statistics and Data Analysis

  CSC 412 Tools and Techniques for Computational Analysis

  CSC 401 Introduction to Programming

  基础课程

  DSC 430 Python Programming

  DSC 450 Database Processing for Large-Scale Analytics

  DSC 423 Data Analysis and Regression

  DSC 424 Advanced Data Analysis

  DSC 441 Fundamentals of Data Science

  学生必须在以下课程中选择一门应用分析课程:

  DSC 465 Data Visualization

  DSC 480 Social Network Analysis

  CSC 575 Intelligent Information Retrieval

  高级课程

  HSP 561 Managing Revenue to Maximize Financial Performance

  HSP 562 Hospitality Disruptors, Current Trends, and Distribution Channels

  HSP 563 Hospitality Research Analysis and Financial Metrics

  DSC 540 Advanced Machine Learning

  选修课

  DSC 425 Time Series Analysis and Forecasting

  DSC 430 Python Programming

  DSC 433 Scripting for Data Analysis

  CSC 452 Database Programming

  DSC 465 Data Visualization

  DSC 478 Programming Machine Learning Applications

  CSC 481 Introduction to Image Processing

  CSC 482 Applied Image Analysis

  DSC 480 Social Network Analysis

  DSC 484 Web Data Mining

  CSC 521 Monte Carlo Algorithms

  CSC 528 Computer Vision

  DSC 510 Health Data Science

  DSC 540 Advanced Machine Learning

  CSC 543 Spatial Databases and Geographic Information Systems

  CSC 555 Mining Big Data

  CSC 575 Intelligent Information Retrieval

  CSC 576 Computational Advertising

  CSC 578 Neural Networks and Deep Learning

  CSC 594 Topics in Artificial Intelligence

  CSC 598 Topics in Data Analysis

  DSC 484 Web Data Mining

  GEO 441 Geographic Information Systems (Gis) for Community Development

  GEO 442 Geographical Information Systems (Gis) for Sustainable Urban Development

  GPH 565 Designing for Visualization

  HCI 512 Information Visualization and Infographics

  IPD 451 Big Data and NoSQL Program

  CMNS 549 Special Topics in Organizational Communication

  IS 549 Data Warehousing

  IS 550 Enterprise Data Management

  IS 574 Business Intelligence and Analytics Systems

  IS 578

  Marketing Concentration

  入门课程

  IT 403 Statistics and Data Analysis

  CSC 412 Tools and Techniques for Computational Analysis

  CSC 401 Introduction to Programming

  基础课程

  DSC 430 Python Programming

  DSC 450 Database Processing for Large-Scale Analytics

  DSC 423 Data Analysis and Regression

  DSC 424 Advanced Data Analysis

  DSC 441 Fundamentals of Data Science

  学生必须在以下课程中选择一门应用分析课程:

  DSC 465 Data Visualization

  DSC 480 Social Network Analysis

  CSC 575 Intelligent Information Retrieval

  高级课程

  MKT 555 Marketing Management

  MKT 530 Customer Relationship Management

  MKT 534 Analytical Tools for Marketers

  学生必须选修以下课程中的一门:

  MKT 529 Precision Marketing

  MKT 595 Internet and Interactive Marketing

  MKT 798 Topic: Health Care Data Analysis

  MKT 570 Service Design and Patient Experience

  选修课程

  DSC 425 Time Series Analysis and Forecasting

  DSC 430 Python Programming

  DSC 433 Scripting for Data Analysis

  CSC 452 Database Programming

  DSC 465 Data Visualization

  DSC 478 Programming Machine Learning Applications

  CSC 481 Introduction to Image Processing

  CSC 482 Applied Image Analysis

  DSC 480 Social Network Analysis

  DSC 484 Web Data Mining

  CSC 521 Monte Carlo Algorithms

  CSC 528 Computer Vision

  DSC 510 Health Data Science

  DSC 540 Advanced Machine Learning

  CSC 543 Spatial Databases and Geographic Information Systems

  CSC 555 Mining Big Data

  CSC 575 Intelligent Information Retrieval

  CSC 576 Computational Advertising

  CSC 578 Neural Networks and Deep Learning

  CSC 594 Topics in Artificial Intelligence

  CSC 598 Topics in Data Analysis

  DSC 484 Web Data Mining

  GEO 441 Geographic Information Systems (Gis) for Community Development

  GEO 442 Geographical Information Systems (Gis) for Sustainable Urban Development

  GPH 565 Designing for Visualization

  HCI 512 Information Visualization and Infographics

  IPD 451 Big Data and NoSQL Program

  CMNS 549 Special Topics in Organizational Communication

  IS 549 Data Warehousing

  IS 550 Enterprise Data Management

  IS 574 Business Intelligence and Analytics Systems

  IS 578

  入学要求:

  最低学分绩点3.0,学分绩点4.0

  地区认可机构授予的学士学位

  完成微积分I和微积分II,平均成绩不低于B。在分析方面有丰富工作经验的个人可能会有例外。

  申请材料:

  完成一份在线申请(申请费$25)。

  提交一份简历。

  发送所有参加的学院和大学的正式成绩单,其中必须显示从地区认可的机构授予的学士学位。

  可选:提交任何补充材料,如推荐信或行业认证。

  语言要求:

  ETS TOEFL – minimum score of 80 iBT TOEFL with no section lower than 17; minimum score of 550 on the paper-based exam.

  IELTS & IELTS Indicator – minimum overall score of 6.5 on the IELTS Academic.

  Pearson Test of English (PTE) – minimum English academic score of 53

  综上所述,以上讲的就是关于美国德保罗大学数据科学硕士专业的相关问题介绍,希望能给各位赴美留学的学子们指点迷津。近年来,赴美留学一直是广大学生最热门的话题,同时,很多学生对于签证的办理、院校的选择、就业的前景、学习的费用等诸多问题困扰不断,别担心,IDP留学专家可以为你排忧解难,同时,更多关于赴美留学的相关资讯在等着你,绝对让你“浏览”忘返。在此,衷心祝愿各位学子们能够顺利奔赴自己心目中理想的学校并且学业有成!


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