卡内基梅隆 CMU计算数据科学硕士+ 查看更多
卡内基梅隆 CMU
计算数据科学硕士
+ 查看更多
- CMU的计算数据科学硕士课程使学生具备开发下一代大规模信息系统部署所涉及的技术层以及分析这些系统产生的数据所需的技能和知识
- 该项目创立于2004年的超大型信息系统硕士项目,旨在培养专业的超大型信息系统的设计、工程和部署的硕士生
- 在该项目中,学生将深入研究databases, distributed algorithms and storage, machine learning, language technologies, software engineering, human-computer interaction, and design等课题
- 通过核心课程和选修课,学生将对超大型信息系统有一个统一的认识
- 实习和Capstone Project要求确保学生将拥有在职业生涯中取得成功所需的知识和经验
项目时长:16或20个月全日制
项目授课地点:美国 宾夕法尼亚州 匹兹堡
申请要求
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- 共同核心课程:
11-637 Foundations of Computational Data Science
15-619 Cloud Computing
10-601 Machine Learning
05-839 Interactive Data Science
11-631 Data Science Seminar
- Systems Concentration
15-605 Operating Systems Implementation
15-618 Parallel Computer Architecture & Programming
15-640 Distributed Systems
15-641 Computer Networks
15-645 Database Systems
15-712 Advanced and Distributed Operating Systems
15-719 Advanced Cloud Computing
15-721 Advanced Databases
15-746 Advanced Storage Systems
15-821 Mobile and Pervasive Computing
- Analytics Concentration
Choose one course in Machine Learning/Statistics:
10-617 Intermediate Deep Learning
10-701 Introduction to Machine Learning (Ph.D.)
10-703 Deep Reinforcement Learning & Control
10-707 Topics in Deep Learning
10-708 Probabilistic Graphical Models
10-715 Advanced Introduction to Machine Learning
10-716 Advanced ML: Theory & Methods
10-718 Data Analysis
10-725 Convex Optimization
11-755 Machine Learning for Signal Processing
11-761 Language and Statistics
11-777 Multimodal Machine Learning
11-785 Introduction to Deep Learning
36-705 Intermediate Statistics
36-708 Statistical Methods in Machine Learning
Choose one course in Software Systems:
11-642 Search Engines
11-737 Multilingual NLP
11-747 Neural Networks for NLP
11-788 Computational Forensics & AI
11-797 Question Answering
11-830 Computational Ethics for NLP
Choose one course with a focus on Big Data:
10-605 Machine Learning with Large Data Sets
10-745 Scalability in Machine Learning
10-805 Machine Learning with Large Data Sets
11-741 Machine Learning for Text Mining
11-775 Large-Scale Multimedia Analysis
11-777 Multimodal Machine Learning
- Human-Centered Data Science (HCDS) Concentration
Choose one course in Behavioral Research Methods:
05-610 User Centered Research and Evaluation
05-816 Applied Research Methods
Choose two courses in HCI Methods:
05-618 Human AI Interaction
05-891 Designing Human Centered Systems
05-813 Human Factors
05-821 Social Web
05-823 E-Learning Design Principles and Methods
05-840 Tools for Online Learning
05-833 Gadgets, Sensors & Activity Recognition
05-836 Usable Privacy and Security
05-838 The Role of Tech in 21st Century Learning
05-872 Rapid Prototyping of Computer Systems
05-899 Crowd Programming
05-899 Learning Analytics and Educational DS
05-899 HCI for Startups
05-899 Accessibility
05-899 Fairness, Accountability, Transparency & Ethics
05-899 Persuasive Design
05-899 Social Data Science
05-899 Transformational Game Design Studio
- Capstone Project
- 实习
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