信息学院
课程
B.S. in applied data analytics is 120 credits. The curriculum blends data science courses with a general core in information technology.
The 120 credit breakdown is as follows:
- 30-31 credits of applied data analytics (ADA) major courses
- 21-22 credits of primary core classes
- 9 credits of analytical course electives
- 15 credits in ADA concentration and elective courses
- 21-23 credits in skills electives, 包括编程, communication and quantitative skills courses
- 36 credits in Arts and Sciences divisional requirements
- 21-24 credits in general electives
- 4 DEIA学分
- DEIA要求1学分
- One upper division 3-credit DEIA course
- 国际经验
You can further personalize your degree by selecting one of the following concentrations, or pursue a minor outside the iSchool that leverages the use of analytics.
- Information Security Management: Understand how hackers and computer viruses work, so you can improve 网络安全 and protect information.
- 项目管理: Develop managerial and technical skills to oversee informational systems and create business policies.
- 网络与云计算: Study the development of network technologies, such as cloud services, and their effect on users.
- 网页设计及管理: Create and maintain web resources and sites to make sense for users and organizations.
- 数字零售策略: Enhance your knowledge of electronic commerce, technologies and layout strategy for retail corporations.
- Innovation, Design and 开始ups: Develop the creativity, innovation and entrepreneurial skills needed to run a business.
课外的机会
从实践经验中学习
应用 your classroom learnings in the real world and gain the network and the resume you need to succeed. Gain real-world experience through 实习 at places like Microsoft, 亚马逊, 迪斯尼, 毕马威等. 探索 through study abroad programs like Eurotech and Asiatech. We’re committed to helping you connect with employers, 获得经验, grow your network and explore the many pathways your iSchool degree can take you.
新闻全文数据库实验室
探索 new ideas and pursue innovation through student-led 研究 projects. Our NEXIS lab is run by students and explores emerging technologies, giving you the opportunity to grow skills in data science, 项目管理, 研究, 设计思维等等.
学生组织
Get involved outside the classroom through student organizations, events and other activities. From Data Science Day and guest lectures to clubs like Women in Tech and Information Security Club, you’ll have the opportunity to pursue your interests in many ways. And with 300+ clubs across the University, you’ll have plenty of exciting things to explore.
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