Data Science and Engineering PhDSouth Dakota School of Mines & Technology
About this program
Data Science and Engineering PhD
The Ph.D. in Data Science and Engineering is a joint collaborative program between Electrical Engineering and Computer Science,Industrial Engineering, and Mathematics departments. Data science is a rapidly growing interdisciplinary field that involves researchers from many STEM disciplines with applications found throughout science and engineering. The advancement in business analytics can be attributed to data science and has proven to unlock actionable intelligence and insights.
The Bureau of Labor Statistics reports a 22% growth in Computer and Information Research Scientists from 2020 to 2030. This program is for you if you want to be on the cutting-edge of answering the most complex questions with data.
Students will participate in emerging areas of data science, including data analytics, data engineering, machine learning (ML) and artificial intelligence (AI), data visualization, and operations research.
Applicants are expected to have a baccalaureate or master’s degree in a science, engineering, math, business, or related field. Applicants from other backgrounds will be considered but are encouraged to consult with the program coordinator prior to applying.
Required application materials include U.S. transcripts or international transcript evaluations, statement of purpose, three letters of recommendation, and evidence of English proficiency. The GRE is required for graduates from non-ABET accredited institutions. For more information, see the application instructions.
Successful applicants usually have a GPA of 3.0 or higher on a 4.0 scale and prior training or experience in advanced mathematics and computing.
- Fall admissions: February 15
- Spring admissions: August 15
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Scholarships & funding
Financial assistance is dependent on the department and funding that is available in a given year.
Financial assistance is available for graduate teaching assistants (GTA) and for graduate research assistants (GRA). A GTA handles laboratory sections, grades papers, or performs other assigned instructional duties. A GRA is compensated to conduct supervised research, which generally relates to the student’s thesis or dissertation research.
A full-time GTA or GRA is equivalent to approximately twenty (20) hours per week of assigned duties during the academic year. Part-time service is compensated in accordance with expected hourly effort. Completion of coursework and other degree requirements requires additional effort beyond compensated hours. Graduate assistants must be degree-seeking students and registered full-time (9 or 10 credits each fall and spring semester, and 2 credits each summer session) during the period of appointment.
Approximately 50% of all graduate students receive assistantships. Graduate assistants who hold a teaching or research assistantship are eligible for a tuition reduction that covers 100% of tuition and program fees for campus courses. The general activity fee and other miscellaneous fees as applicable are assessed at the regular rate. Specialty courses such as field camp and remedial courses are not eligible fore reduced tuition. For an out of state Master's student, the value of a 20-hour per week assistantship with tuition reduction is at least $25,000 for the academic year. Ph.D. stipends are typically higher. Additional summer support may also be available.
Admitted students will be automatically considered for research assistantship support based on the information provided in the admissions application. No further application materials are required. Financial awards are primarily granted to research students who begin enrollment in the fall. Graduate students wishing to be considered for financial assistance should submit their application and all required admission documents by February 15.
Total Estimated for the graduate I-20 — 2022-2023
- Academic year (9 months) - $14,970
- Living Expenses (9 months) - $11,120
- Books & Supplies (9 months) - $ 1,200
- Estimated Total for one academic year - $27,290
The estimate for living expenses includes only room, board, and health insurance, which is mandatory for international students. This does not include personal and transportation expenses, which you will still have. The institution estimates that you will spend approximately $3450 per academic year on personal and transportation expenses, so please be prepared for these expenses.
Every industry and segment needs data science and engineering. Think advancements in medicine and precision agriculture. Think advancement in detecting illicit economies and subterranean science.
According to the World Economic Forum's “The Future of Jobs Report,” technological advances resulting from big data analytics, machine learning (ML), artificial intelligence (AI), and data engineering is transforming the workplace. In fact, in the same report, Data Analysts and Scientists made the top of the list of the emerging workforce in 2020, with AI and Machine Learning Specialists landing at number two.
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About this institute
South Dakota School of Mines & Technology
South Dakota School of Mines & Technology was founded in 1885 to provide instruction in the region’s primary industry, which was mining. And now it includes so much more. Over the years, South Dakota Mines evolved into a leading science...
Why study at South Dakota School of Mines & Technology
Life at South Dakota Mines is more than books, homework, and tests. It’s robot races on the Quad, blacksmithing on Friday afternoons, late-night hangouts with friends in the dorm, and cheering for your favorite Hardrocker sports team. It’s finding “your” people – friends who geek out at the same stuff you do, whether that’s esports, robotics, fossils, or chemistry experiments. You’ll work alongside “your” people in classrooms and on student teams and organizations. At South Dakota Mines, it’s more about collaboration than competition, and you’ll never be alone in your passions and interests.
South Dakota School of Mines & Technology
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