Recent advancements in computer hardware and machine learning algorithms have driven a rapid growth in the use of data science and machine learning across all economic sectors, with applications in robotics and automation, healthcare, finance, and government. Because of this, there is now a huge demand for developers and data analysts with skills and experience in these fields. In the Data Science and Machine Learning program, you will:
Study the fundamental concepts in mathematics and statistics that make these technologies possible.
Gain the skills to collect / organize data and use analytics to inform decisions.
Implement current machine learning algorithms to address common needs in industry.
Develop the skills to effectively communicate technical ideas with other developers as well as those without technical knowledge.
Experience working with industry to develop code for real applications in data science and machine learning.
Graduate Profile:
By the end of the program a Data Science and Machine Learning graduate should be able to:
Determine appropriate machine learning techniques based on the problem domain data and identified goals.
Determine programming language appropriate to the goal or project.
Conduct research by completing a literature review, collaborating with others and using other research techniques as required to acquire data, domain knowledge and summarize existing approaches and techniques in a domain area.
Train industry standard machine learning models to establish predictive relationships between data inputs and desired outputs that remain effective and accurate when presented with new unseen data.
Prepare data for use in machine learning models through data revision and quality improvement in order to interpret and draw conclusions from statistical analysis of visualized and contextualized data.
Create a software product that uses machine learning and software development skills appropriate to identified goals.
Verify and validate a software product to ensure that it meets specifications and fulfills its intended purpose.
Communicate effectively in all interactions by using active listening as well as written, verbal and non-verbal communication skills (power skills), reading technical literature and documentation of processes.
Manage data in compliance with regulatory standards through continuous learning from regulatory bodies and ethical behaviour.
Demonstrate professionalism, personal integrity and accountability in all roles and responsibilities, maintaining professional and ethical standards and accreditation as necessary.
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6 Ocak 2025
The Roblin Centre (Exchange District Campus)
160 Princess Street,
Winnipeg,
Manitoba (MB),
R3B 1K9, Canada
Regular Admission Requirements
Grade 12
Submit proof of graduation from or enrolment in Grade 12, including one credit in each of the following:
Grade 12 English
Grade 12 Math (excluding Accounting 40S)
If you provide proof of enrolment at time of application, your official final grades indicating successful completion must be submitted by July 15 for fall enrolment or by the deadline specified in your admission letter.
Mature Student Admission Requirements
If you are 19 years of age or older and have been out of high school for a minimum of one year at time of application, and you do not meet the regular admission requirements, you may apply under the Mature Student admission requirements.
Academic Requirement
High school graduation is not required, but you must have successfully completed or be enrolled in one credit in each of the following:
Grade 12 English
Grade 12 Math (excluding Accounting 40S)
English Language Requirements:
International English Language Testing System (IELTS - Academic): Listening 6.5, Speaking 6.5, Reading 6.5, Writing 6.0 or
CAEL and CAEL Online (Canadian Academic English Language): Listening 60, Speaking 60, Reading 60, Writing 60
PTE - Academic Online Assessment (Pearson Test of English): Listening 58, Speaking 58, Reading 58, Writing 50
TOEFL - iBT (Test of English as a Foreign Language - internet Based Test): Listening 20, Speaking 20, Reading 19, Writing 21
Seçtiğiniz bölüme bağlı olarak farklı IELTS koşulları olabilir.
Red River College Polytech öğrencileri, kariyerlerine hazırlanmalarını sağlayan, uygulamalı öğrenim odağıyla kapsamlı bir eğitimden faydalanır.