Doctor of Philosophy in Engineering and Applied Science - Computer Science and Information Systems: Fees & Entry Requirements at University of Massachusetts - Dartmouth, USA

Doctor of Philosophy in Engineering and Applied Science - Computer Science and Information Systems

USA

3

What will I learn?

The Computer Science and Information Science option within the EAS PhD program offers advanced study and research opportunities in various disciplines related to modern information processing using computer programs and systems. Information science is highly interdisciplinary and is concerned with the analysis, collection, classification, manipulation, storage, retrieval and dissemination of information. Computer science deals with the theoretical foundations of computational methods for information creation and manipulation. Research opportunities span a wide range of theoretical and application topics including advanced software engineering, artificial intelligence, computer networks, computer vision and graphics, databases, data science, distributed algorithms and systems, formal methods, informatics, human-computer interaction, machine learning, mobile computing and cyber security, optical networks, programming languages, real-time systems, robotics, and wireless networks. Career opportunities are plentiful in the areas of information technology, business/financial, engineering and industry, health and human services, and government/public policy, both in industry and academia.

Study options

Full Time (6 Semesters)

Tuition fees
$45,711.00 (38,56,817) per year
Technology Fee - 374.94
Application deadline

15/12/2026

Start date

January 2027

Venue

Dartmouth

285 Old Westport Road,

Dartmouth,

Massachusetts,

02747, Northeast, United States

Full Time (6 Semesters)

Tuition fees
$45,711.00 (38,56,817) per year
Technology Fee - 374.94
Start date

September 2027

Venue

Dartmouth

285 Old Westport Road,

Dartmouth,

Massachusetts,

02747, Northeast, United States

Entry requirements

For international students

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.

*There may be different IELTS requirements depending on your chosen course.

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