Doctor of Philosophy (Ph.D.) in Bioengineering - Data Science and Computation Track PHD Programme By University of Utah |TopUniversities

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

PhD

Study Level

PHD

Study Mode

On Campus

Data Science and Computation engineering, which includes computational synthetic biomedical engineering, is an emergent field that combines experimental, computational, and theoretical methods to solve challenging biomedical problems. Data Science and Computation engineering is based on a holistic approach of integrating large amounts of molecular information to elucidate the relationships between genotype and phenotype. This multiscale understanding of biological systems will help answer important questions about physiological systems, human disease, and therapeutic strategies. Data Science and Computation engineering is the design and construction of biological systems from molecular biological components for useful purposes. Such systems have applications in a wide range of complex biomedical problems.

Among the greatest challenges in these fields are how to obtain, manipulate, and interpret massive datasets. Research in this area also requires a multi-scale understanding of the system of interest, from molecules to cells, to organisms to ecosystems. Data Science and Computation engineering draw from a wide range of specialties – including mathematical modeling, scientific computing, signal processing, molecular biology, and high-throughput technologies – to provide a unique approach to solving biomedical problems.

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

PhD

Study Level

PHD

Study Mode

On Campus

Data Science and Computation engineering, which includes computational synthetic biomedical engineering, is an emergent field that combines experimental, computational, and theoretical methods to solve challenging biomedical problems. Data Science and Computation engineering is based on a holistic approach of integrating large amounts of molecular information to elucidate the relationships between genotype and phenotype. This multiscale understanding of biological systems will help answer important questions about physiological systems, human disease, and therapeutic strategies. Data Science and Computation engineering is the design and construction of biological systems from molecular biological components for useful purposes. Such systems have applications in a wide range of complex biomedical problems.

Among the greatest challenges in these fields are how to obtain, manipulate, and interpret massive datasets. Research in this area also requires a multi-scale understanding of the system of interest, from molecules to cells, to organisms to ecosystems. Data Science and Computation engineering draw from a wide range of specialties – including mathematical modeling, scientific computing, signal processing, molecular biology, and high-throughput technologies – to provide a unique approach to solving biomedical problems.

Admission Requirements

6.5+
110+
80+

  • Candidates are required to submit references or letter(s) of recommendation for acceptance
  • Candidates are required to submit an essay(s) for acceptance

Tuition fees

Domestic
0 USD
International
0 USD

Scholarships

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