MSCS in ABCDI

Master of Science in Computer Science with Concentration in AI, Blockchain, Cloud Computing, Data Science and IoT

计算机科学硕士 5个专业

Our academic advisors will help you choose the program that best aligns with your educational and career goals.

我们的学术顾问将帮助您选择与您的教育和职业目标最相一致的课程。

AI:Artificial Intelligence 人工智能

Upon completion of this concentration, you will:

  • Receive a MSCS in Artificial Intelligence
  • Harness the power of big data through course learning that will not only teach you cutting-edge technology, but also hone your highly sought-after soft power: including communication, data ethics, and leadership.
  • Be Industry Leaders: Our faculty and advisory board members are practical experts in their fields. Their expertise determines our truly outstanding data science program. Our graduates are well prepared for work in data analytics, database management, big data engineering, data mining, and many other fields.
  • Use Virtual Labs: Students have direct access to software tools and programming languages without having to buy or install them on their computers.
  • 完成该学习,您将获得加州大学计算机科学人工智能硕士学位
  • 在最广泛使用的 AI 和 ML 工具和技术方面积累您的专业知识。
  • 获得使用AI和ML独立解决业务问题的能力。
  • 掌握构建机器学习和深度学习模型所需的技能。
  • 了解人工智能在神经网络、计算机视觉和NLP等领域的应用。
  • 了解人工智能在不同行业中的可能性和影响。
  • 在AI和ML中构建大量工作和行业案例组合。

Blockchain: 区块链

Upon completion of this concentration, you will:

  • Receive a MSCS in Blockchain
  • Learn Python programming, machine learning algorithms, Solidity smart contracts, Ethereum, blockchain, and more.
  • Gain real-world experience and complete projects using finance-related datasets, allowing you to build a portfolio of jobs that demonstrate your professional mastery.
  • Develop market-driven skills by learning cutting-edge tools and techniques related to the modern financial services sector, financial libraries.
  • Through part-time learning, a remote online format, combine content that you complete on your own schedule with interactive, real-time courses from expert instructors.
  • Benefit from a wide range of career services that allow you to progress in your current career or pursue new opportunities.

完成该学习,您将获得加州大学计算机科学区块链硕士学位

  • 学习Python编程,机器学习算法,Solidity智能合约,以太坊,区块链等。
  • 使用与财务相关的数据集获得真实世界的经验并完成项目,从而使您能够构建展示您的专业掌握的工作组合。
  • 通过学习与现代金融服务部门相关的尖端工具和技术,金融库,培养市场驱动的技能。
  • 通过兼职学习,远程在线形式,将您按照自己的时间表完成的内容与专家讲师的互动式实时课程相结合。
  • 受益于广泛的职业服务,让您在当前的职业生涯中取得进步或寻求新机会时取得成功。

Cloud Computing: 云计算

Upon completion of this concentration, you will:

  • Receive a MSCS in Cloud Computing
  • Advance your career quickly by mastering the principles of cloud architecture. Cloud computing is the on-demand availability of computer system resources, especially data storage (cloud storage) and computing power, without the need for direct active management by users.
  • With hands-on industry projects, you’ll learn how to design, plan, and scale advanced cloud implementations. Large clouds often have the ability to distribute across multiple locations, each of which is a data center. Cloud computing relies on resource sharing for consistency [clarification needed] and economies of scale, often using a “pay-as-you-go” model that can help reduce capital expenditures but can also lead to unexpected operating expenses for unsuspecting users
  • Learn application migration, autoscale cloud migration and deployment, cloud provider selection, cloud workload database management, disaster recovery, identity access management, and more.
  • 完成该学习,您将获得加州大学计算机科学云计算硕士学位
  • 通过掌握云架构原则,快速推进您的职业生涯。云计算是计算机系统资源的按需可用性,特别是数据存储(云存储)和计算能力,而无需用户直接主动管理。
  • 通过动手行业项目,您将学习如何设计、规划和扩展高级云实施。大型云通常具有分布在多个位置的功能,每个位置都是一个数据中心。云计算依赖于资源共享来实现一致性[需要澄清]和规模经济,通常使用”即用即付”模型,该模型可以帮助减少资本支出,但也可能导致不知情用户的意外运营费用
  • 学习应用程序迁移,自动缩放云迁移和部署,云提供商选择,云工作负载数据库管理,灾难恢复,身份访问管理等。

Data Science: 大数据/数据科学

Organizations in nearly every industry are looking for professionals with the skills to turn big data into better insights and decisions, and these data scientists are in short supply. You can fill in the blank.

Upon completion of this concentration, you will:

  • Receive a MSCS in Data Science
  • Harness the power of big data through course learning that will not only teach you cutting-edge technology, but also hone your highly sought-after soft power: including communication, data ethics, and leadership.
  • Be Industry Leaders: Our faculty and advisory board members are practical experts in their fields. Their expertise determines our truly outstanding data science program. Our graduates are well prepared for work in data analytics, database management, big data engineering, data mining, and many other fields.
  • Use Virtual Labs: Students have direct access to software tools and programming languages without having to buy or install them on their computers.

几乎每个行业的组织都在寻找具有将大数据转化为更好的见解和决策的技能的专业人员,而这些数据科学家供不应求。你可以填补这个空白。完成该学习,您将获得加州大学计算机科学大数据/数据科学硕士学位。

  • 跨学科课程:通过课程学习利用大数据的力量,这些课程不仅会教你尖端技术,而且还会磨练出备受追捧的软实力:包括沟通、数据道德和领导力。
  • 行业领导者的参入:我们的教师和顾问委员会成员都是各自领域的实践专家。他们的专业知识决定了我们真正杰出的数据科学计划。我们的毕业生为数据分析,数据库管理,大数据工程,数据挖掘和许多其他领域的工作做好了充分的准备。
  • 虚拟实验室:学生可以直接访问软件工具和编程语言,而无需在计算机上购买或安装。

IOT: 物联网

It is estimated that the number of internet-connected devices will exceed 50 billion by 2030. The Internet of Things (IoT) curriculum enables engineers and industry professionals to take advantage of this explosive growth opportunity by offering a broad foundation and deep domain expertise.

Upon completion of this concentration, you will:

  • Receive a MSCS in IOT.
  • Master underlying technologies of the Internet of Things.
  • Apply signal processing, as well as other aspects of digital and wireless communication systems.
  • Evaluate circuit design and performance.
  • Utilize components of embedded systems.
  • Understand web application and computer security risks that may be associated with IoT devices.
  • Apply biochips, biosensors, implantable systems, and other emerging IoT technologies.

据估计,到2030年,互联网连接设备的数量将超过500亿台。物联网(IoT)课程通过提供广泛的基础和深厚的领域专业知识,使工程师和行业专业人士能够充分利用这一爆炸性增长机会。完成该学习,您将获得加州大学计算机科学物联网硕士学位。

  • 物联网的底层技术
  • 信号处理,以及数字和无线通信系统的其他方面
  • 电路设计和性能
  • 嵌入式系统的组件
  • 可能与 IoT 设备相关的 Web 应用程序和计算机安全风险
  • 生物芯片、生物传感器、植入式系统和其他新兴物联网技术