当你在萨斯奎汉纳大学注册时, you’ll be paired with an advisor and application tool to guide you in your course planning and scheduling. 以下是节选自 完整课程目录. Enrolled students follow the requirements of the course catalog for the academic year in which they declare each major and/or minor, 咨询他们的导师和学生 学术策划工具.

数据科学

数据科学专业是一个结合数学的专业, 统计学与计算机科学 with an area of application to give students the tools necessary to pursue a career in the field. The major is intended for students who desire a strong technical background in the areas that form the discipline of data 科学.

学习目标

• 应用 relevant data analysis techniques such as data cleaning and statistical modeling.
• Skills in programming languages and tools such as Python, R and data manipulation libraries.
• Effective communication both orally and in writing to various stakeholders including non-technical audiences.

数据科学学士学位要求

获得数据科学学士学位, 学生必须完成, 成绩在C以上, 相当于以下内容:

4 cci -181计算机科学原理

4 csi -182面向对象程序设计

4 CSCI-281数据结构

4 CSCI-301数据挖掘

4 ccci -381算法

4 CSCI-401机器学习

数学-微积分1

4数学-微积分2

数学-180统计方法

4数学-线性代数

数学-211多元微积分

4数学-221离散结构

4 CSCI-500高级学术研讨会

除了上面的课程, 学生必须完成 a sequence of three courses outside the department chosen from the list below or another sequence approved by the Department of 数学 & 计算机科学:

• Anthropology: ANTH-162; either ANTH-235 or SOCI-245; either ANTH-341 or ANTH-310
• Biology: either BIOL-101 or BIOL-102; BIOL-220; one 300-level or higher BIOL course including lab
• Chemistry: CHEM-103; CHEM-242; CHEM-341
• Earth and Environmental Sciences: EENV-101; one of EENV-105, EENV-220, or EENV-240; EENV-360,
• Ecology: ECOL-100; BIOL-220; one 300-level or higher ECOL course including lab
• 历史:一门100级HIST课程，HIST-300, HIST-401
• 物理: PHYS-204; PHYS-206; either PHYS-307 or PHYS-401
• Political Science: One of POLI-111, POLI-121, POLI-131, or POLI-212; POLI-205; POLI 305
• Psychology: PSYC-101; PSYC-223; one 300-level or higher PSYC course
• Sociology: SOCI-101; SOCI-235 or SOCI-245; one of SOCI-102, SOCI-195, SOCI-255

学生s double majoring in computer 科学 and data 科学 cannot count CSCI-301 and CSCI-401 as 计算机科学 electives.

当你在萨斯奎汉纳大学注册时, you’ll be paired with an advisor and application tool to guide you in your course planning and scheduling. 以下是节选自 完整课程目录. Enrolled students follow the requirements of the course catalog for the academic year in which they declare each major and/or minor, 咨询他们的导师和学生 学术策划工具.

辅修数据科学

The minor in data 科学 requires the completion of 20 semester hours of the following courses 成绩在C以上: MATH-180 统计方法 (or MATH-108 Introduction to Statistics plus INFS-233 Data Driven Decision Making), 线性代数, 计算机科学原理, 301数据挖掘, 和CSCI-401机器学习.

对跨学科未成年人的重复计算限制

Only 4 semester hours of this minor may be double-counted toward the student’s major.