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The Master of Information and Data Science (MIDS) program delivered online from the UC Berkeley School of Information (I School) prepares data science professionals to be leaders in the field. By blending a multidisciplinary curriculum, experienced faculty from top data-driven companies, an accomplished network of peers, and the flexibility of online learning, the WASC-accredited datascience@berkeley program brings UC Berkeley to students, wherever they are.

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The multidisciplinary MIDS curriculum draws upon computer science, social sciences, statistics, management, and law. Students use the latest tools and analytical methods to work with data at scale, derive insights from complex and unstructured data, and solve real-world problems.

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The 27-unit, online program is designed for the working professional’s schedule and can be completed on one of three paths: accelerated, standard, or decelerated.

The accelerated path gives students the opportunity to take three courses per semester to complete the program in as few as 12 months.

The standard path is designed for working professionals and can be completed in 20 months, with two courses per semester.

v2ray协议选择 allows students to drop down to one course per semester after the first term and complete the program in no more than 32 months.

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Research Design

Data Cleansing

Data Engineering

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Data Visualization

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Statistical Analysis

Machine Learning

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The MIDS curriculum features a wide range of courses that provide students with a comprehensive understanding of how data science can be used to inform decision-making in their organizations. Students will complete programming-focused courses, like the featured courses below, in concurrence with courses that focus on the ethical impact of data science and how to effectively communicate results.

Applied Machine Learning

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Behind the Data: Humans and Values

This course examines the legal, policy, and ethical issues that arise throughout the full life cycle of data science. Case studies will be used to explore these issues across various domains such as criminal justice, national security, health, marketing, politics, education, and employment.

Natural Language Processing with Deep Learning

This course is a broad introduction to linguistic phenomena and our attempts to analyze them with machine learning. We cover a wide range of concepts with a focus on practical applications such as information extraction, machine translation, sentiment analysis, and summarization.

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MIDS students complete a capstone by executing a culminating project that integrates the core skills and concepts learned throughout the program. The capstone combines the technical, analytical, interpretive, and social dimensions required to design and execute a full data science project. Students learn integral skills that prepare them for long-term professional success in the field.

Explore Our Full Multidisciplinary Curriculum

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Live Online Classes

Small weekly classes are capped at 18 students and taught online by I School faculty, who are leading industry practitioners and post-doctoral scholars. The online classroom features HD streaming video, bringing students and professors face-to-face in real time.

V2Ray使用过程中频繁断流和掉线的原因分析及解决办法 | E ...:2021-3-30 · V2Ray的客户端在连接上服务端之后,一会儿可以用,一会儿又不能用了,非常不稳定。起初以为是V2Ray自己的问题,后来转念一想,服务端出于安全考虑,使用了TLS作为底层安全协议,这里面就涉及到一个SSL握手的问题。 such as document and video sharing, collaborative annotations, polling functionality, and small-group breakout sessions. All classroom functions work seamlessly on both desktop and mobile, and recorded sessions are available for review 24/7.

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Between their weekly live classes, MIDS students complete course work on their own time. Course work is designed to be immersive and dynamic, engaging students in materials that prepare them for classroom discussions with their peers and instructors.

Our faculty have worked with world-class course developers, creating an I School curriculum that is designed specifically for an online learning environment. This content includes dynamic videos, interactive case studies, self-paced recorded lectures, and collaborative activities that foster teamwork.

In-Person Immersions

Classmates and faculty meet in person during a three- to four-day immersion on the UC Berkeley campus or in other locations relevant to data science. The immersion is designed to supplement online learnings with groundbreaking presentations and discussions surrounding the future of data science.

During the immersion, students have the opportunity to learn directly from industry leaders and network with top companies in the field. Students can also participate in career advancement workshops and gain invaluable advice directly related to their personal growth.

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The I School virtual campus facilitates collaboration and leads to real connections. On the platform, students create profiles just as with any social networking tool, and the same level of networking and connection develops. Students can get to know one another outside of class, meet for study sessions, work on group projects, or even attend a virtual happy hour.

WeWork Global Access

All MIDS students receive a Global Access membership to the global community of hundreds of WeWork workspaces located in more than 20 countries. Students can utilize any WeWork workspace as a go-to study space, a resource while traveling, or a place to meet with classmates they connect with in their city. WeWork amenities include Wi-Fi, printing and copying, private rooms, refreshments, and on-site support.

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Support begins the moment students request information about the program and continues beyond graduation. Our admissions team answers program-related questions, provides guided tours of the online classroom, and hosts informational webinars on topics like financial aid and application tips. Once students are enrolled, they are assigned a success adviser and continue to receive academic, tech, and career support.

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Request more information to learn what it’s like to be an online MIDS student.

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Our master’s in data science online program attracts intelligent, creative data professionals who work for top companies in computer software, finance, and health care. Students learn alongside other professionals located all over the world who are balancing their course work with demanding careers and personal commitments.


“UC Berkeley offers incredible class diversity: Throughout the MIDS program, I worked with — and learned from — students located all over the world. My classmates also worked in fields vastly different from my own, which allowed me to gain perspective into areas well outside of my comfort and expertise.”

– Sombiri Enwemeka, engineering contractor, Long Beach, CA

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MIDS takes a comprehensive approach to data analysis. While other information and data degree programs are adapting to the emergence of big data, the MIDS program is designed from the ground up to focus on the latest tools and approaches to working with data.

As a result, the MIDS program differs from other analytic degree programs through its:

  • v2ray各种协议对比, unstructured, user-generated data sets (i.e., big, messy data)
  • Comprehensive, multidisciplinary curriculum drawn from the social sciences, computer science, statistics, management, and law
  • Coherent integration of the full life cycle of data — from identifying the right questions to retrieving, cleaning, and modeling the data and communicating results
  • Emphasis on the legal and ethical implications of data privacy and security

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Earn a master’s in data science online from UC Berkeley.

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UC Berkeley’s MIDS program attracts the 嗯_啊哈-CSDN博客:2021-5-20 · “error”: V2Ray 遇到了无法正常运行的问题,需要立即解决。 “none”: 不记录任何内容。 InboundObject 入站连接用于接收从客户端(浏览器或上一级代理服务器)发来的数据,可用的协议请见协议列表。 {“port”: 1080, “listen”: “127.0.0.1”, “protocol”: “协议名称”, across the world. Through the interactive online platform and in-person experiences, students are presented with many opportunities to develop close relationships with faculty, classmates, and I School alumni.

Our experienced faculty work with data at some of the world’s most forward-thinking companies. Faculty are committed to remaining accessible and advising students on how to achieve their career goals.

During the program, MIDS students collaborate with classmates who come from diverse professional backgrounds and learn from many unique perspectives on the world of data. While enrolled and long after graduation, students have access to the renowned UC Berkeley global alumni network of talented data professionals.

Personalized Career Support Services

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  • Forming career plans that help students reach their goals
  • 【V2Ray多用户管理一键脚本】V2Ray-UI多用户面板的搭建 ...:2021-6-13 · 3、打开面板后,有很多功能,面板的作者也提供了不少教程,可以自行体验,这里我们新增个用户账号,选择账号列表,点击+号新增;4、点击后可以看到多条设置,备注昵称随意,协议根据自己需求可选5种,我们这里默认即可,监听IP本地默认即可,端口自定义建议10000-60000之间,传输协议配 …
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  • Preparing for interviews
  • Conducting interview postmortems
  • Navigating the offer stage and negotiation process

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MIDS students join a community of faculty, students, and alumni united by the drive to improve how we use and share information with the world. The MIDS program offers both in-person and online opportunities for students to explore possible career paths within this diverse industry and connect with industry leaders and employers. The I School job portal and customized resume books are just a few of the tools used to directly connect students with engaging career opportunities.

Learn more about how MIDS graduates have used these career connections to reach their career goals.

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MIDS graduates are working around the world to solve social, economic, and health problems and applying their skills at top companies such as Caddy2+WebSocket+TLS搭建v2ray - cmatrixprobe ...:2021-4-23 · 最后放行相应的配置端口,这样其实基于tcp协议的v2ray就搭建完成了,客户端按默认的TCP配置 TCP相对来说会更快,日常使用足矣。 不过这样隐匿性不高,去年11月份大规模被墙的时候只有WS+TLS依然坚挺,伪装流量效果还是不错的.

Graduates employed at these companies excel in roles such as:

  • Business Data Analyst
  • Data Analyst
  • Data Architect
  • Data Engineer
  • Data Scientist
  • Solutions Architect
  • Systems Engineer

MIDS for Life

In a dynamic field such as data science, it is crucial for professionals to continue developing their skills throughout their careers. MIDS for Life keeps MIDS alumni connected to leading data science practices via world-class datascience@berkeley course content.

MIDS for Life offers alumni lifelong access to the I School Virtual Campus, where students can retrieve all previously completed MIDS course work and recorded class sessions. Alumni may also view the most up-to-date asynchronous course content, including content for newly released courses, at no charge.

"Visiting Uber was an amazing experience. After a 40-minute presentation, we spent over an hour asking questions to Kevin Novak (leader of the data science division) on everything from data science at Uber, to data science at small startups, to the evolving place of data science in the world."

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“I rely heavily on the knowledge and confidence that I gained from the MIDS curriculum as I approach open-ended data science problems. My professors at UC Berkeley provided me with a strong basis in structured problem-solving and critical thinking as a data scientist.”

- Erin Boehmer, data scientist at Fenix International

Experience UC Berkeley, No Matter Where You Are

Since MIDS students attend classes and complete course work online, the program can be completed from anywhere in the world. Located in the San Francisco Bay Area, the UC Berkeley I School is at the forefront of data science innovation, and MIDS students gain connections to our vibrant network across the globe.

The map displays countries of residence for students enrolled in the MIDS program for the 2018-2019 academic year, including: Argentina, Australia, Bermuda, Brazil, Cambodia, Canada, Chile, China, Colombia, Denmark, Germany, Great Britain, Hong Kong, India, Italy, Japan, Kenya, Lebanon, Luxembourg, Mexico, Norway, Pakistan, Qatar, Russia, Singapore, South Korea, Spain, Taiwan, Thailand, Uganda, United Arab Emirates, United States, and Virgin Islands.

Application Deadlines

There are three program start dates throughout the year, and applications are reviewed on a rolling basis. The next final application deadline is October 7, 2020.

Application Requirements

Applications to the MIDS program are evaluated holistically. Find out what you’ll need to apply by reading our admissions requirements.

Upcoming Events

Learn more about the MIDS program and meet I School faculty and students during our online and in-person events.

Develop the Skills Needed to Become
a Data Science Leader at Top Organizations

Earn a Master of Information and Data Science
online from UC Berkeley.