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== 한국 ==
충북대학교 :: 비즈니스 데이터 융합학과 (http://www.bloter.net/archives/109660)
국민대학교 :: 빅데이터경영 MBA 과정
비즈니스 애널리틱스
서울대학교 :: 빅데이터 센터 (http://bigdata.snu.ac.kr/bx/), 컴퓨터공학부, 산업공학과, 통계학과, 전기정보학부
1. 빅데이터 인프라 기술,
1. 데이터 과학 및 분석기술
1. 법, 정책
1. 보건의료
1. 생명, 환경
1. 미래산업경제
1. 사회복지
1. 방송, 문화, 스포츠
1. 인력양성
경희대학교 :: 소셜네트워크분석과학 학과
한양대학교 ::
== Related program ==
[http://www.forbes.com/sites/danwoods/2011/11/27/linkedins-monica-rogati-on-what-is-a-data-scientist/print/ LinkedIn's Monica Rogati On "What Is A Data Scientist?"] Forbes[http://www.citoresearch.com/data-science/growing-your-own-data-scientists Growing Your Own Data Scientists]
[http://iacs.seas.harvard.edu/ Institute for Applied Computational Science, Harvard University]
[http://www.analytics.northwestern.edu/ Master of Science in Analytics, Northwestern University]
[http://analytics.ncsu.edu/ Master of Science in Analytics, North Carolina State University]
@@ -18,9 +35,109 @@
[http://www.hanyang.ac.kr/user/indexSub.action?codyMenuSeq=1714&siteId=hanyangkr2&menuType=T&uId=3&sortChar=ABC&menuFrame=&linkUrl=03_02_03.html&mainFrame=right&dum=dum&command=curriculum_list&viewHakgwajojikCd=Y3YEAD&language=kor&viewStructureSeq=333 정보사회학과, 한양대학교][http://www.ssu.ac.kr/web/inso/intro_c 정보사회학과, 숭실대학교]
== Academic Programs ==
협동연구 - 통계학, 사회학의 협동연구 예: [http://www.moore.org/newsroom/press-releases/2013/11/12/%20bold_new_partnership_launches_to_harness_potential_of_data_scientists_and_big_data Bold new partnership launches to harness potential of data scientists and big data] New York University, the University of California, Berkeley and the University of Washington launch a 5-year, $37.8 million cross-institutional effort with support from the Gordon and Betty Moore Foundation and Alfred P. Sloan Foundation.
[http://blogs.oii.ox.ac.uk/policy/five-recommendations-for-maximising-the-relevance-of-social-science-research-for-public-policy-making-in-the-big-data-era/ Five recommendations for maximising the relevance of social science research for public policy-making in the big data era] The Policy and Internet Blog
[http://www.informationweek.com/big-data/big-data-analytics/big-data-analytics-masters-degrees-20-top-programs/d/d-id/1108042?page_number=1 Big Data Analytics Master's Degrees: 20 Top Programs]
* [http://www.heinz.cmu.edu/school-of-information-systems-and-management/information-systems-management-mism/index.aspx Master of Information Systems Management (MISM), Carnegie Mellon]
* [http://heinz.cmu.edu/school-of-information-systems-and-management/information-systems-management-mism/business-intelligence-data-analytics/index.aspx Business Intelligence and Data Analytics (BIDA), Carnegie Mellon]
* [http://idse.columbia.edu/ Institute for Data Sciences, Columbia University]
* {{| DUAL MS IN JOURNALISM AND COMPUTER SCIENCE
Admitted students will enroll for a total of five semesters — approximately three in The Fu Foundation School of Engineering and Applied Science and two in the Journalism School. In addition to taking classes already offered at the Journalism and Engineering schools, students will attend a seminar and workshop designed specifically for the dual degree program. The seminar will teach students about the impact of digital techniques on journalism; the emerging role of citizens in the news process; the influence of social media; and the changing business models that will support newsgathering. In the workshop, students will use a hands-on approach to delve deeply into information design, focusing on how to build a site, section or application from concept to development, ensuring the editorial goals are kept uppermost in mind. For more information, please visit the program website.
The AP-Google Journalism Technology Scholarship has been announced. For more information, please visit their website.
|}}
* http://www.journalism.columbia.edu/page/276-dual-degree-journalism-computer-science/279
* http://www.journalism.columbia.edu/system/documents/372/original/2013_JNCOM_FAQs.pdf
* http://www.journalism.columbia.edu/system/documents/693/original/jschool_compsci_singles.pdf
{{{
CORE REQUIREMENT
COMS W4111 Introduction to Databases
COMS W4115 Programming Language and Translators
COMS W4156 Advanced Software Engineering
COMS W4170 User Interface Design
CSOR W4231 Analysis of Algorithms
COMS W4701 Artificial Intelligence
REQUIRED TRACK COURSE (3)
COMS W4112 Database Systems Implementation
CSEE W4119 Computer Networks
COMS W4160 Computer Graphics
COMS W4162 Advanced Computer Graphics
COMS W4172 3D User Interfaces and Augmented Reality
COMS W4180 Network Security
COMS W4705 Natural Language Processing
COMS W4706 Spoken Language Processing
COMS W4731 Computer Vision
COMS W4771 Machine Learning
COMS W4772 Advanced Machine Learning
COMS W4999 Computing and the Humanities
COMS W4995 Topics in CS (if focus is appropriate, needs approval from track advisor)
ELECTIVE TRACK COURSES (2)
COMS E6113 Topics in Database Systems
COMS E6125 Web-Enhanced Information Management
COMS E6175 Interaction Design
COMS E6176 User Interfaces for Mobile and Wearable Computing
COMS E6733 3D Photography
COMS E6734 Computational Photography
COMS E6735 Visual Databases
COMS E6901 Projects in CS
ELEN E6850 Visual Information Systems
COMS E6998 Topics in CS with appropriate focus
}}}
* [http://bdss.psu.edu/ Big Data Social Science] PSU
{{{Core seminars for all IGERT Students. (Beginning 2014)
Approaches and Issues in Big Social Data
Approaches and Issues in Social Data Analytics
Analytics distribution, one course in a core approach to analytics:
statistical / machine learning or visual analytics.
Data Mining (STAT/IST)
Machine Learning (CSE)
Visual Analytics: Leveraging Geosocial Data (GEOG)
Ethics and Scientific Responsibility distribution requirement
Privacy in Statistical Databases (STAT/CSE)
Data Privacy, Learning, and Games (CSE)
Big Social Data and the Law (PLSC/CLJ)
The Information Environment (IST)
Social Data Analytics electives with substantial non-social science content (Social Science students)
Network Science (PHYS)
Vision-Based Tracking (CSE)
Computational Regularity on Interdisciplinary, Large Data Sets (CSE)
Pattern Recognition (CSE)
Information Retrieval and Organization (IST)
Web Analytics (IST)
Spatial Analysis (GEOG)
Most graduate courses in Statistics
Social Data Analytics electives with substantial social science content (Non-Social Science students)
Modeling Interdependent Data (CAS)
Political Event Data and Forecasting (PLSC)
Social Network Analysis (SOC)
Causal Inference (PLSC)
Democratic Representation: Big Data Approaches (PLSC)
Multilevel Modeling (SOC)
Spatial Demography (SOC)
Intensive Longitudinal Data (HDFS)
Geospatial Science in Anthropology (ANTH)
}}}
== Interview and Insights ==
[http://blogs.lse.ac.uk/impactofsocialsciences/2012/09/19/five-minutes-with-prabhakar-raghavan/ Five minutes with Prabhakar Raghavan: Big data and social science at Google] :: Part of PPG's Impact of Social Sciences project focuses on how academic research in the social sciences influences decision-makers in business, government and civil society. We will cover a series of salient viewpoints emerging from this interview programme on the blog over the next three months. To launch the series Rebecca Mann talked to Prabhakar Raghavan, who is Vice President of Strategic Technologies at Google, and Consulting Professor of Computer Science at Stanford. He explains the role that social scientists are already playing in the development of the tech sector in Silicon Valley, and discusses the opportunities for impact and some remaining obstacles to collaboration.
[http://blogs.lse.ac.uk/impactofsocialsciences/2011/12/09/five-minutes-with-andrew-miller-mp-%E2%80%9Cit%E2%80%99s-important-that-people-handle-information-in-an-intelligent-way-and-social-science-has-a-huge-role-in-this%E2%80%9D/ Five minutes with Andrew Miller MP: “It’s important that people handle information in an intelligent way, and social science has a huge role in this.”] . . . . It’s important that people handle information in an intelligent way, and social science has a huge role in this. . . .
[http://www.oii.ox.ac.uk/research/projects/?id=98 Accessing and Using Big Data to Advance Social Science Knowledge] . . . . A project initiated at the University of Oxford with a title, "Accessing and Using Big Data to Advance '''Social Science Knowledge'''"
[http://www.kukey.com/news/articleView.html?idxno=19545 대학의 특화된 교육과정 필요해 - 빅데이터] 고대신문 . . . . 삼성전자 MSC 플랫폼개발팀 박재현 상무도 "이공계, 인문계, 상경계 등 분야를 가리지 않고 빅데이터 인재를 모으기 위해 주력할 것"이라며 "현재 고려대 전산과와 빅데이터 교육을 추진 중이다"라고 전했다. . . . "빅데이터는 여러 분야에서 화두가 되는 융합 도구이기 때문에 문·이과를 합한 빅데이터 대학원 연계전공을 개설하면 좋겠다"
한국 ¶
충북대학교 :: 비즈니스 데이터 융합학과 (http://www.bloter.net/archives/109660)
국민대학교 :: 빅데이터경영 MBA 과정
한양대학교 ::
국민대학교 :: 빅데이터경영 MBA 과정
비즈니스 애널리틱스
서울대학교 :: 빅데이터 센터 (http://bigdata.snu.ac.kr/bx/), 컴퓨터공학부, 산업공학과, 통계학과, 전기정보학부- 빅데이터 인프라 기술,
- 데이터 과학 및 분석기술
- 법, 정책
- 보건의료
- 생명, 환경
- 미래산업경제
- 사회복지
- 방송, 문화, 스포츠
- 인력양성
한양대학교 ::
Related program ¶
![[https]](/imgs/https.png)
Academic Programs ¶
협동연구 - 통계학, 사회학의 협동연구 예: ![[http]](/imgs/http.png)
Bold new partnership launches to harness potential of data scientists and big data New York University, the University of California, Berkeley and the University of Washington launch a 5-year, $37.8 million cross-institutional effort with support from the Gordon and Betty Moore Foundation and Alfred P. Sloan Foundation.
Bold new partnership launches to harness potential of data scientists and big data New York University, the University of California, Berkeley and the University of Washington launch a 5-year, $37.8 million cross-institutional effort with support from the Gordon and Betty Moore Foundation and Alfred P. Sloan Foundation. Five recommendations for maximising the relevance of social science research for public policy-making in the big data era The Policy and Internet Blog- Master of Information Systems Management (MISM), Carnegie Mellon
- Business Intelligence and Data Analytics (BIDA), Carnegie Mellon
- Institute for Data Sciences, Columbia University
DUAL MS IN JOURNALISM AND COMPUTER SCIENCEAdmitted students will enroll for a total of five semesters — approximately three in The Fu Foundation School of Engineering and Applied Science and two in the Journalism School. In addition to taking classes already offered at the Journalism and Engineering schools, students will attend a seminar and workshop designed specifically for the dual degree program. The seminar will teach students about the impact of digital techniques on journalism; the emerging role of citizens in the news process; the influence of social media; and the changing business models that will support newsgathering. In the workshop, students will use a hands-on approach to delve deeply into information design, focusing on how to build a site, section or application from concept to development, ensuring the editorial goals are kept uppermost in mind. For more information, please visit the program website.
The AP-Google Journalism Technology Scholarship has been announced. For more information, please visit their website.- http://www.journalism.columbia.edu/page/276-dual-degree-journalism-computer-science/279
CORE REQUIREMENT COMS W4111 Introduction to Databases COMS W4115 Programming Language and Translators COMS W4156 Advanced Software Engineering COMS W4170 User Interface Design CSOR W4231 Analysis of Algorithms COMS W4701 Artificial Intelligence REQUIRED TRACK COURSE (3) COMS W4112 Database Systems Implementation CSEE W4119 Computer Networks COMS W4160 Computer Graphics COMS W4162 Advanced Computer Graphics COMS W4172 3D User Interfaces and Augmented Reality COMS W4180 Network Security COMS W4705 Natural Language Processing COMS W4706 Spoken Language Processing COMS W4731 Computer Vision COMS W4771 Machine Learning COMS W4772 Advanced Machine Learning COMS W4999 Computing and the Humanities COMS W4995 Topics in CS (if focus is appropriate, needs approval from track advisor) ELECTIVE TRACK COURSES (2) COMS E6113 Topics in Database Systems COMS E6125 Web-Enhanced Information Management COMS E6175 Interaction Design COMS E6176 User Interfaces for Mobile and Wearable Computing COMS E6733 3D Photography COMS E6734 Computational Photography COMS E6735 Visual Databases COMS E6901 Projects in CS ELEN E6850 Visual Information Systems COMS E6998 Topics in CS with appropriate focus
Core seminars for all IGERT Students. (Beginning 2014) Approaches and Issues in Big Social Data Approaches and Issues in Social Data Analytics Analytics distribution, one course in a core approach to analytics: statistical / machine learning or visual analytics. Data Mining (STAT/IST) Machine Learning (CSE) Visual Analytics: Leveraging Geosocial Data (GEOG) Ethics and Scientific Responsibility distribution requirement Privacy in Statistical Databases (STAT/CSE) Data Privacy, Learning, and Games (CSE) Big Social Data and the Law (PLSC/CLJ) The Information Environment (IST) Social Data Analytics electives with substantial non-social science content (Social Science students) Network Science (PHYS) Vision-Based Tracking (CSE) Computational Regularity on Interdisciplinary, Large Data Sets (CSE) Pattern Recognition (CSE) Information Retrieval and Organization (IST) Web Analytics (IST) Spatial Analysis (GEOG) Most graduate courses in Statistics Social Data Analytics electives with substantial social science content (Non-Social Science students) Modeling Interdependent Data (CAS) Political Event Data and Forecasting (PLSC) Social Network Analysis (SOC) Causal Inference (PLSC) Democratic Representation: Big Data Approaches (PLSC) Multilevel Modeling (SOC) Spatial Demography (SOC) Intensive Longitudinal Data (HDFS) Geospatial Science in Anthropology (ANTH)
Interview and Insights ¶
Five minutes with Prabhakar Raghavan: Big data and social science at Google :: Part of PPG's Impact of Social Sciences project focuses on how academic research in the social sciences influences decision-makers in business, government and civil society. We will cover a series of salient viewpoints emerging from this interview programme on the blog over the next three months. To launch the series Rebecca Mann talked to Prabhakar Raghavan, who is Vice President of Strategic Technologies at Google, and Consulting Professor of Computer Science at Stanford. He explains the role that social scientists are already playing in the development of the tech sector in Silicon Valley, and discusses the opportunities for impact and some remaining obstacles to collaboration.Five minutes with Andrew Miller MP: “It’s important that people handle information in an intelligent way, and social science has a huge role in this.” . . . . It’s important that people handle information in an intelligent way, and social science has a huge role in this. . . . Accessing and Using Big Data to Advance Social Science Knowledge . . . . A project initiated at the University of Oxford with a title, "Accessing and Using Big Data to Advance Social Science Knowledge" 대학의 특화된 교육과정 필요해 - 빅데이터 고대신문 . . . . 삼성전자 MSC 플랫폼개발팀 박재현 상무도 "이공계, 인문계, 상경계 등 분야를 가리지 않고 빅데이터 인재를 모으기 위해 주력할 것"이라며 "현재 고려대 전산과와 빅데이터 교육을 추진 중이다"라고 전했다. . . . "빅데이터는 여러 분야에서 화두가 되는 융합 도구이기 때문에 문·이과를 합한 빅데이터 대학원 연계전공을 개설하면 좋겠다"
