国际学生入学条件
All applicants will be considered and prospective students will be profiled based on work experience, academic records, GMAT score, recommendation letters, and essays. While there are no minimum criteria for admission, students accepted into the Ph.D. program often have a graduate degree with a GPA above 3.75 and a GMAT score above 700. In addition, international students are required to provide proof of English proficiency. The Rawls College of Business requires that doctoral students must maintain at least a 3.20 GPA. The GPA is computed on all graduate courses included on the degree program. Students falling below a 3.2 GPA will be subject to probationary action.
TOEFL - The minimum TOEFL score required is 550 (paper-based version) or 79 (internet-based version).
IELTS - The minimum IELTS required score is an overall band score of 6.5 on the Academic version
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IDP—雅思考试联合主办方

雅思考试总分
6.5
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雅思考试指南
- 雅思总分:6.5
- 托福网考总分:79
- 托福笔试总分:550
- 其他语言考试:PTE Academic - The minimum required PTE Academic score is 60.
CRICOS代码:
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
博士 专注于管理信息系统(MIS)的工商管理专业旨在为提高MIS中的知识水平提供理论基础。德州理工大学是最早建立管理信息系统博士学位课程的大学之一,并且已经在全球范围内发展了其MIS博士校友。目前,我们拥有世界上将神经科学应用于信息系统研究的顶级计划之一。我们也有顶尖的学者研究技术接受,行为决策,信息搜索,信息可视化,定量研究方法和业务分析等主题。博士 学生有机会与教师合作进行当前的研究项目。在任何给定的时间都有一群活跃的研究教师从事研究项目,并且学生有各种机会在博士课程的早期就开始从事研究工作,目标是在
As one of the first universities to establish a doctoral specialization in management information systems (MIS), our PhD in Business Administration with a specialization MIS provides a theoretical basis for advancing information technology knowledge. Our faculty include top scholars researching topics such as technology acceptance, behavioral decision making, information search, information visualization, quantitative research methods, and business analytics. Additionally, our program is recognized around the world for our research on the application of neuroscience to the study of information systems.<br>Our faculty are published in many top IT journals with research interests ranging from operations management, information economics, data analytics, linguistics, visualization, data science, and neuroscience. Their research accomplishments and commitment to closely supervised mentorship enables students to perfect solid research skills in preparation for rewarding academic careers.
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