Curso de MS in Computational Data Science na University of California, Riverside (Engineering)nos Estados Unidos 58547326 University of California, Riverside (Engineering)

MS in Computational Data Science
University of California, Riverside (Engineering)

Estados Unidos

Sobre este curso

O que eu aprenderei?

The University of California-Riverside Master of Science in Computational Data Science (MS in CDS) degree focuses on the computational foundations of Data Science, providing an in-depth understanding of how large data sets can be stored, manipulated, visualized, and how to accomplish learning from such data sets. The recent rapid growth of artificial intelligence shows that no discipline today can function without relying on a deep analysis of data, whether it be manufacturing, logistics, health care, public safety, or the military.The MS in CDS is a comprehensive, in-person program, offered jointly by the Computer Science and Engineering Department and the Electrical and Computer Engineering Department within the Bourns College of Engineering. Unique within the University of California system in its focus on Computational Data Science this brand-new MS program (approved by the UCOP in December 2022) is a STEM designated degree accepting new students each Fall quarter.

De qual departamento farei parte?

University of California, Riverside (Engineering)

Opções de estudo

Período integral (3 semestres)

Valores
US$27.864,00 (R$ 159.920) por ano
UC Student Service Fee - 418
Data de início

Setembro 2026

Localização

Main Campus

446 Winston Chung Hall 900 University Ave.,

Riverside,

California,

92521, West, United States

Requisitos de admissão

Para estudantes internacionais

All applicants to the MS in Computational Data Science program must have completed a Bachelors degree or its approved equivalent from an accredited institution and to have attained undergraduate record that satisfies the standards established by the Graduate Division and University Graduate Council.

Students are expected to have experience in programming, software engineering, algorithms, and background in statistics.

CS 141 - Intermediate Data Structures and Algorithms

CS 100 - Software Construction

MATH 010A - Multivariable Calculus

MATH 031 - Linear Algebra

A course covering foundations of probability and statistics (such as STAT 155 - Probability and Statistics for Science and Engineering, or, EE 114 - Probability, Random Variables, and Random Processes in Electrical and Computer Engineering)

Applicants may be admitted with course deficiencies, provided they take remedial steps to cover the deficiencies. All such remedial work cannot be counted towards the MS degree requirements and should be completed within the first year of graduate study, and in all cases the deficiency(s) must be corrected BEFORE a student can enroll in any graduate course from the same specialty area. The details will be decided by the Graduate Advisor of the program in consultation with the student. The CSE department also offers a sequence of ‘Bridge summer courses that can be used as a first step by students who lack basic undergraduate background in programming, algorithms and data structures.

English Language Requirement

TOEFL

  • Interned-Based (iBT) - 80
  • Home Version (iBT) – 80
  • Paper-Based test (PBT) – 550

IELTS - Minimum IELTS score: 7 overall total score; The minimum score in each individual component must be 6 or above

Os requisitos para o IELTS podem variar de acordo com o curso que você escolher.

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