Business Analytics - MS

The Eberhardt School of Business develops knowledgeable, innovative business leaders in a personalized, 以经验为基础的学习环境，并产生有助于学科知识的奖学金, 通知教学, and advances the practice of business.

我们有一套共同的基本原则，这些原则支配着我们的行为和实现使命的能力:

• Maintaining a student-centered learning environment
• Educating the whole person
• Stimulating intellectual growth
• 维护教师、员工和学生相互支持的社区
• Engaging external stakeholders
• Promoting excellence
• Being socially responsible
• Behaving ethically and with integrity
• Providing service to the university, community, and profession
   

商业分析硕士课程的毕业生将能够:

• Demonstrate technical proficiency in mathematics, 统计数据, 编程, and software tools for business analytics
• 能以高水平的专业要求进行有效的口头和书面沟通
• 将数据转化为可操作的商业/管理解决方案，并了解该领域的道德问题

录取过程包括对每个申请人的背景和经历进行全面审查. The following are required for admission:

• Bachelor’s degree with a 3.平均绩点0或更高
  • Applicants with a GPA between 2.65-2.如果他们有相关的工作经验或证书，证明他们有能力在项目中取得成功，可以考虑.
• Official transcripts* 
• 重新开始
• Personal statement
• Two letters of recommendation
• Demonstrated quantitative capabilities
  • 申请人可以通过成功的统计学本科课程(MATH 37或同等学历)展示其定量能力。, relevant work experience, a minimum GMAT Quantitative Reasoning Score of 40, or a minimum GRE Quantitative Reasoning Score of 152. 如果申请人的量化能力没有在申请中证明, 申请人将被要求注册一门预先批准的课程，并成功完成该课程，最低成绩为“B”."

正式成绩单应直接发送到研究生招生办公室，地址为:

University of the 太平洋
Office of 研究生 入学
Knoles Hall Room 204
3601 太平洋 Avenue
斯托克顿CA 9521

NOTE: Students are required to have their own portable computers with the following minimum hardware requirement: Processor: i7 or equivalent; RAM: 16 GB; Hard Disk: 512 GB; OS: Microsoft Windows. Instruction will be given on the Windows platform. 

INTERNATIONAL STUDENTS: Please visit the International 研究生 Applicants site to learn more about the additional application requirements. 

Full-Time 9-Month 课程顺序

Fall Semester (16 units)
MSBA 210 — Business Analytics (3)
MSBA 220 — Business Concepts and Applications of Analytics (3)
MSBA 230 — Database Management with SQL and R (3)
MSBA 232 — Programming for Data Science (Online) (1)
MSBA 235 — 研究 Methods & 职业道德(3)
MSBA 285 — Capstone Project I (3)

Spring Semester (15)
MSBA 240 — Advanced Business Analytics (3)
MSBA 250 — Applied Business Analytics (3)
MSBA 260 — Leading the Analytics Organization (3)
MSBA 265 — Special Analytics Topics (3)
MSBA 286 — Capstone Project II (3)

Part-Time 2-Year 课程顺序 

Fall Semester Year 1 (9)
MSBA 210 — Business Analytics (3)
MSBA 220 — Business Concepts and Applications of Analytics (3)
MSBA 235 — 研究 Methods & 职业道德(3)

Spring Semester Year 1 (6)
MSBA 240 — Advanced Business Analytics (3)
MSBA 265 — Special Analytics Topics (3)

Fall Semester Year 2 (7)
MSBA 232 — Programming for Data Science (Online) (1)
MSBA 230 — Database Management with SQL and R (3)
MSBA 285 — Capstone Project I (3)

Spring Semester Year 2 (9)
MSBA 250 — Applied Business Analytics 
MSBA 260 — Leading the Analytics Organization
MSBA 286 — Capstone Project II

 
Part-Time 3-Year 课程顺序

Fall Semester Year 1 (6)
MSBA 210 — Business Analytics (3)
MSBA 220 — Business Concepts and Applications of Analytics (3)

Spring Semester Year 1 (3)
MSBA 240 — Advanced Business Analytics (3)

Fall Semester Year 2 (6)
MSBA 230 — Database Management with SQL and R (3)
MSBA 235 — 研究 Methods & 职业道德(3)

Spring Semester Year 2 (6)
MSBA 265 — Special Analytics Topics (3)
MSBA 250 — Applied Business Analytics (3)

Fall Semester Year 3 (4)
MSBA 232 — Programming for Data Science (Online) (1)
MSBA 285 — Capstone Project I (3)

Spring Semester Year 3 (6)
MSBA 260 — Leading the Analytics Organization (3)
MSBA 286 — Capstone Project II (3)

* All courses are either hybrid or online unless otherwise noted. 
** Program, course offerings, and schedule are subject to change.

Master of Science in Business Analytics