Наши Cookies

Мы используем cookies, чтобы обеспечить вам лучший опыт работы с сайтом за счет персонализированного контента, релевантной рекламы и расширенных функций. Нажав «разрешить все», вы соглашаетесь на использование cookies в соответствии с политикой использования cookies. Вы сможете изменить свое решение в любой момент.

Что я буду изучать?

OVERVIEW

Leadership Claims

The Applied A.I. Solutions Development program is one of the first of its kind to be offered by a Canadian college. Developed by George Brown College's School of Computer Technology, it recognizes the industry demand for Full Stack Data Scientists who are qualified to fill the roles of Data Scientist, Data Analyst, Data Engineer or Machine Learning Engineer as needed, and also apply business analysis skills to effectively communicate how Artificial Intelligence/Machine Learning/Deep Learning can be used in business models.

Program Overview

This exciting new program instills students with knowledge that spans the fields of Computer Science, Mathematics and Business to prepare them to deliver innovative Artificial Intelligence (A.I.), Machine Learning, Deep Learning and Data Science/Data Analytics solutions for an ever-expanding range of industry applications.

The program will focus on combining the three disciplines (Computer Science, Math, Business) with a design-thinking approach to produce Machine Learning/Deep Learning models and intuitive dashboards to communicate results and findings.

Program Learning Outcomes

The graduate has reliably demonstrated the ability to:

  • Identify, evaluate and manage relevant data sources to support data analytics and to meet organizational needs.
  • Recommend different systems, architectures and data storage technologies to support data-driven solutions.
  • Develop and deploy complete Machine Learning/Deep Learning production systems for a variety of industry use cases that meet the needs of a specific operational/business process.
  • Assess and apply appropriate mathematical models, algorithms, tools and frameworks to develop A.I.-enabled, industry-specific solutions.
  • Apply legal, ethical, privacy and security-related standards and considerations in data science projects in a manner that protects privacy and confidentiality, addresses data bias and transparency, and ensures data integrity.
  • Implement artificial intelligence systems on time and budget using best practices and strategies in design thinking, project management and lifecycle management.
  • Design artificial intelligence (A.I.) systems through the application of systematic approaches and methodologies to meet growing organizational needs.

Your Career

Graduates of this program may apply for positions that include:

  • Data Scientist
  • Data Analyst
  • Data Management Specialist
  • Machine Learning Engineer
  • Full-Stack Data Scientist (who is qualified to fill all of the above roles)

Educational Pathways

As this is a new program, we are currently exploring potential pathways to additional programs. Pathways for incoming students may be developed with programs that expose students to code development, algebra, statistics, probability and calculus, including:

  • G102 Graphic Design
  • G113 Interaction Design
  • G301 Honours Bachelor of Digital Experience Design
  • T147 Computer Systems Technology
  • T163 Game – Programming
  • T175 Blockchain Development
  • T177 Computer Programming and Analysis
  • T430 Mobile Application Development and Strategy

Future Study Options

As this is a new program, we are currently exploring potential pathways to additional programs. Graduates of this program may qualify to pursue further studies in the following areas:

  • Computer Science (university level)
  • Computer Engineering (university level)
  • T147 Computer Systems Technology
  • T163 Game – Programming
  • T175 Blockchain Development
  • T177 Computer Programming and Analysis
  • T430 Mobile Application Development and Strategy

На каком факультете я буду учиться?

Centre for Arts, Design and Information Technology

Варианты обучения

Очная (3 семестров)

Цена
CAD$23,220.00 (1,086,062 руб) за 1 год

*Это примерная цена, проверьте ее в вузе

Начало обучения

6 Сентябрь 2022

Где

George Brown College

Casa Loma Campus,

175 Kendal Avenue,

TORONTO,

Ontario (ON),

M5R 1M3, Canada

Вступительные требования

Для студентов, проживающих в Соединенных Штатах

In order to be admitted into the program of your choice you must have graduated from a university or college. George Brown English for Academic (EAP) Program - Level 9 ; IELTS (Academic) - 6.5, minimum 6.0 in each skill band; TOEFL - 88 (online) minimum 22 in each skill band; MELAB - 85; PTE (Academic) - 60, overall minimum 55 in each skill band; CAEL - 70 overall (writing 60); 176 or more (with no individual skill below 169).

Для иностранных студентов

Diploma or Bachelors Degree in Information Technology, Computer Science or a related field.

Applicants with a Diploma or Bachelor’s Degree in an unrelated field will be required to provide additional information as requested from the Academic Department (questionnaire).

Applicants with transcripts from an institution where the language of instruction is not English may meet English language proficiency requirements with one of the following proofs of language proficiency.

  • George Brown English for Academic (EAP) Program - Level 9
  • IELTS (Academic) - 6.5, minimum 6.0 in each skill band
  • TOEFL - 88 (online) minimum 22 in each skill band
  • MELAB – 85
  • PTE (Academic) - 60, overall minimum; 55 in each skill band
  • CAEL - 70 overall (writing 60)
  • Cambridge English Exams (B2 First, C1 Advanced or C2 Proficiency) - 176 or more (with no individual skill below 169)

ДОБАВИТЬ В ШОРТ-ЛИСТ

O George Brown College

George Brown College – это разнообразное и гостеприимное учебное заведение в самом сердце Торонто, крупнейшего города Канады.

  • более 24,000 выпускников вуза занимают руководящие должности
  • George Brown College предлагает более 170 учебных программ
  • 84% выпускников устраиваются на работу в течение 6 месяцев
  • 98% программ вуза включают в себя практическое обучение

Оставайтесь на связи