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Что я буду изучать?

The field of Data Science is a combination of statistics and computer science methodologies that enable ‘learning from data’. A data scientist extracts information from data, and is involved with every step that must be taken to achieve this goal, from getting acquainted with the data to communicating the results in non-technical language. The Data Science Specialist program prepares students for work in the Data Science industry or government and for graduate studies in Data Science, Computer Science, or Statistics. Students in the program will benefit from a range of advanced courses in Computer Science and Statistics offered by the University of Toronto, as well as from a sequence of three integrative courses designed especially for the program.

The Data Science Specialist program comprises three fundamental and highly-integrated aspects. First, students will acquire expertise in statistical reasoning, methods, and inference essential for any data analyst. Seconds, students will receive in-depth training in computer science: the design and analysis of algorithms and data structures for handling large amounts of data, and best practices in software design. Students will receive training in machine learning, which lies at the intersection of computer and statistical sciences. The third aspect is the application of computer science and statistics to produce analyses of complex, large-scale datasets, and the communication of the results of these analyses; students will receive training in these areas by taking integrative courses that are designed specifically for the Data Science Specialist program. The courses involve experiential learning: students will be working with real large-scale datasets from the domain of business, government, and/or science. The successful student will combine their expertise in computer and statistical science to produce and communicate analyses of complex large-scale datasets.

Skills that graduates of the program will acquire include proficiency in statistical reasoning and computational thinking; data manipulation and exploration, visualization, and communication that are required for work as a data scientist; the ability to apply statistical methods to solve problems in the context of scientific research, business, and government; familiarity and experience with best practices in software development; and knowledge of current software infrastructure for handling large data sets. Graduates of the program will be able to demonstrate the ability to apply machine learning algorithms to large-scale datasets that arise in scientific research, government, and business; create appropriate data visualizations for complex datasets; identify and answer questions that involve applying statistical methods or machine learning algorithms to complex data, and communicating the results; present the results and limitations of a data analysis at an appropriate technical level for the intended audience.

На каком факультете я буду учиться?

Faculty of Arts and Science

Варианты обучения

Очная (4 лет)

Цена
CAD$57,020.00 (3,282,671 руб) за 1 год
Дедлайн для заявки

Предполагаемое начало: January 2022

Начало обучения

Предполагаемое начало: Январь, Сентябрь 2022

Где

University of Toronto

St. George Campus,

27 King's College Circle,

TORONTO,

Ontario (ON),

M5S 1A1, Canada

Вступительные требования

Для студентов, проживающих в Соединенных Штатах

Applicants must have Grade 12 Diploma in an accredited high school with a high grade point average and SAT Reasoning/ACT exams and two SAT Subject Tests/APs/IBs (or a combination of SAT Subject Tests/APs/IBs covering two different subjects). Other English Language Requirements: TOEFL Paper-based Test total score of 600 + 5.0 on TWE; Michigan English Language Assessment Battery (MELAB) score of 85, with no part score below 80; Canadian Academic English Language Assessment (CAEL) score of 70 and no part below 60; Canadian Test of English for Scholars and Trainees (CanTEST) score of 4.5, and no part below 4; a minimum grade of C in the Cambridge English Proficiency/Certificate of Proficiency in English (CPE) or a minimum grade of B in the Cambridge English Advanced/Certificate in Advanced English (CAE).

Для иностранных студентов

Ontario Secondary School Diploma

Six 4U/M courses, including:

Calculus & Vectors (MCV4U)

English (ENG4U) or equivalent qualifications

English Language Requirements

International English Language Testing System (IELTS): The minimum requirement is an overall band of 6.5, with no band below 6.0.

Test of English as a Foreign Language (TOEFL): The minimum scores required for the different TOEFL tests are:

Internet-based Test:

Minimum Requirement: total score of 100 + 22 on Writing

Discretionary Range: total score 89-99 +19 - 21 on Writing

Cambridge Assessment English C1: Advanced or C2: Proficiency: A minimum overall score of 180, with at least 170 in each component.

Canadian Academic English Language Assessment (CAEL): The minimum score required to meet our English facility requirement is an overall score of 70 and no part below 60.

Canadian Test of English for Scholars and Trainees (CanTEST): The minimum requirement is a total score of 4.5, and no part below 4.

Требования к IELTS могут отличаться в зависимости от выбранного курса

Варианты подготовительного обучения

Другие партнеры предлагают

Данный университет принимает на учебу студентов, прошедших программы подготовки в
  • Sheridan College (Ontario)
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