商业与经济

商业分析

学校:

佐治亚大学

硕士生项目

MS in Business Analytics

官方网站立即申请

学年学制

1 year,33 credits

学年学费

$35,362

奖学政策

暂无

所在校区

暂无

专业排名

暂无

招生人数

暂无

录取要求

Proficiency in college-level introductory statistics and calculus

Minimum 3.0 undergraduate GPA

Knowledge of computer programming with at least one high-level language (e.g., R, Python, SQL, C, Java)

At least one previous corporate internship

申请材料清单

1.One-page Resume

2.Letters of Recommendation

1 required, 1 optional; it is preferred that one letter be from an internship supervisor

3.Unofficial transcripts

4.Unofficial GMAT and/or GRE score report(s)

Qualified UGA applicants who have both : active student status and a GPA of 3.8 or higher may request a GMAT or GRE waiver

5.Unofficial TOEFL or IELTS (only required for non-native English speakers)

6.Essay(s)

1 required, 1 optional

7.$75 application fee for domestic students, $100 application for international students (waived for U.S. military personnel)

截止申请时间：

March 1，April 1，May 15

专业介绍

The Master of Science in Business Analytics (MSBA) is a one-year interdisciplinary program to help you develop technical expertise in collecting, analyzing, and interpreting big data in a business context. For international students, the program’s STEM-certification provides eligibility for a three-year U.S. work permit upon graduation.

The MSBA program involves two semesters of study (33 total credit hours). During the program, you will develop expertise in the collection, storage, analysis, interpretation, and visualization of data, as well as learn the predominant programming languages in the field, namely SQL, R, and Python. Efficient processing of large quantities of data via platforms like Hadoop and SAS will be included. Business courses in analytics, marketing, economics, and strategy will provide you with frameworks to turn data analyses into business insights. You will also develop leadership, project management, and teamwork skills; as part of the Capstone Project, you will work in teams on real-world big data problems with a corporate partner and present project results to executive clients.