Doctor of Philosophy in Engineering and Applied Science - Machine Learning and Data Science دراسة University of Massachusetts - Dartmouth في

Doctor of Philosophy in Engineering and Applied Science - Machine Learning and Data Science

أمريكا

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The Machine Learning and Data Science (MLDS) option of the EAS PhD program is committed to training the next generation of machine learning and data science leaders. This track is designed to instill the theoretical knowledge and practical skills necessary for research and discovery in machine learning and data science fields. The track inherits and further strengthens the interdisciplinary nature of the EAS program naturally since the end goal of machine learning and data science methods is usually to enable automation, extract knowledge, and unleash discovery. MLDS doctoral candidates will be masters of the computational and mathematical foundations of machine learning and data science. They will also be highly competent in developing machine learning and data science algorithms, instituting automation and data policies and ethics. The PhD degree program in Engineering and Applied Science (EAS) features contemporary, advanced interdisciplinary research and educational opportunities for students and faculty. Today's scientist/engineer/professional must be able to deal with the rapid pace of technological change, a highly interconnected world, and complex problems that require interdisciplinary approaches to advance fundamental understanding or to address pressing societal needs. The program's unique cross-cutting options provide students with the means to integrate and synthesize disciplinary depth with breadth of interests, vision, and skills for successful interdisciplinary research careers in industry or academia.

خيارات الدراسة

دوام كامل (6 فصول دراسية)

رسوم التسجيــل
US$45,711.00 سنوياً
Technology Fee - 374.94
تاريخ البدء

سبتمبر 2027

مكان عقــد الدورة

Dartmouth

285 Old Westport Road,

Dartmouth,

Massachusetts,

02747, Northeast, United States

دوام كامل (6 فصول دراسية)

رسوم التسجيــل
US$45,711.00 سنوياً
Technology Fee - 374.94
الموعد النهائي للتسجيل

15/12/2026

تاريخ البدء

يناير 2027

مكان عقــد الدورة

Dartmouth

285 Old Westport Road,

Dartmouth,

Massachusetts,

02747, Northeast, United States

شروط القبول

للطلاب الدوليين

Statement of Purpose, minimum 300 words. Unless otherwise indicated in the program requirement details, indicate your graduate study objectives, research interests and experience, and business or industry experience if applicable. If you are applying for a teaching or research assistantship, include any special skills or experience that would assist us in making assistantship decisions. Resume. Transcripts for all post-secondary institutions attended (regardless of whether a credential is earned or not). Unofficial transcripts are accepted for admissions application review, once enrolled a final official transcript is required. International students applying with an transcript evaluation, please submit that document with your unofficial transcripts. International applicants for Data Science must submit semester-by-semester transcripts as well as consolidated transcripts. All official documents are required for enrollment, please have documents (ie. test scores) sent prior to the expiration. Candidates must submit the required application materials, university requirements and program-specific requirements, for consideration. Students possessing a bachelor's or master's degree and a strong academic background in any of the four program tracks (Applied Mechanics and Materials, Computational Science and Engineering, Computer Science and Information Science, Industrial and Systems Engineering) or similar disciplines are encouraged to apply for admission to the EAS PhD program. Generally, a minimum undergraduate GPA of 3.00 (on a scale of 4.00) is required or a minimum graduate GPA of 3.25. Applications indicating option preferences will be made directly to the PhD program and reviewed by admissions committees in the selected options. Admission is made by the Associate Provost for Graduate Studies and the Dean of the College of Engineering upon the recommendation of the EAS Graduate Program Director and the admissions director of the major option.

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