Doctor of Philosophy in Chemical and Biological Engineering - Process Systems and Control

学历文凭
Ph.D.

专业院系
化学工程

开学时间

课程时长

课程学费

国际学生入学条件
For admission to graduate study, an applicant must have a U.S. bachelor's degree or the equivalent of a U.S. bachelor's degree prior to enrollment.
Transcripts and Degrees must be in English (all post-secondary education, including transcript keys).
Unofficial transcripts should be uploaded to your graduate application. The minimum requirement for admission consideration is the completion and award of a four year U.S. bachelor's degree, or its equivalent, by the time of planned enrollment.
Personal Statement
Resume or curriculum vitae
Two letters of recommendation
Portfolio, if required by department
TOEFL score of 88 iBT
IELTS score of 6.5
Transcripts and Degrees must be in English (all post-secondary education, including transcript keys).
Unofficial transcripts should be uploaded to your graduate application. The minimum requirement for admission consideration is the completion and award of a four year U.S. bachelor's degree, or its equivalent, by the time of planned enrollment.
Personal Statement
Resume or curriculum vitae
Two letters of recommendation
Portfolio, if required by department
TOEFL score of 88 iBT
IELTS score of 6.5
IDP—雅思考试联合主办方

雅思考试总分
6.5
了解更多
- 雅思总分:6.5
- 托福网考总分:88
- 托福笔试总分:160
- 其他语言考试:Duolingo score of 120<br>PTE score of 59
CRICOS代码:
申请截止日期:请 与IDP联系 以获取详细信息。
课程简介
The Ph.D. degree represents the highest level of academic preparation. With it, a student can expect to maintain technical competence and contributions throughout a professional career. It is usually the preferred degree for research and development in industry and government and for teaching. Doctoral studies emphasize independent research under the guidance of a research advisor in a field related to Chemical and Biological Engineering, culminating in the writing of a thesis document and its defense in a presentation to the department and the thesis committee. Financial support typically comes from fellowships, research assistantships, teaching assistantships, or a combination.<br><br>This effort using process data analytics and big data machine and deep learning (AI) techniques currently involves two major application areas: biomedical systems and smart manufacturing for sustainability. Automated insulin delivery systems are being developed to improve the regulation of blood glucose in individuals with type 1 diabetes. Advanced data analytics are being developed to reduce energy consumption in air separation units (ASU), steel manufacturing and other large-scale processes.
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跨境学习

校园授课-线上开始

在线/远程学习
学校排名
世界排名
351
数据源:泰晤士高等教育世界大学排名
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