Graduate Certificate in Marketing Management ( Co-op )
Sheridan College, located in Ontario, Canada, is a prestigious educational institution ...
Graduate Certificate in Internet of Things and Machine Intelligence - Davis Campus (Brampton)
Davis Brampton
INTAKE: Jan, May & Sept
Program Overview
Sheridan College, located at the Davis Campus in Brampton, Ontario, offers a cutting-edge program designed to equip students with the knowledge and skills necessary for the rapidly growing field of Internet of Things (IoT) and Machine Intelligence.
Program Overview:
The Graduate Certificate in Internet of Things and Machine Intelligence program at Sheridan College's Davis Campus combines theoretical knowledge with practical skills to prepare students for the challenges and opportunities presented by IoT and machine intelligence technologies. The program covers a broad range of topics, including IoT architecture, data analytics, machine learning algorithms, and applications of IoT in various industries.
Curriculum:
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Introduction to Internet of Things (IoT): Students gain a foundational understanding of IoT, exploring its core principles, technologies, and applications in diverse industries. They learn about IoT sensors, connectivity, data collection, and the overall architecture of IoT systems.
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IoT Systems and Protocols: This course delves deeper into the various communication protocols used in IoT, such as MQTT and CoAP. Students also learn about security and privacy considerations in IoT systems.
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Data Analytics for IoT: Students develop skills in analyzing and interpreting IoT data. They learn techniques for data preprocessing, exploratory data analysis, and apply statistical methods to gain insights from IoT datasets.
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Machine Learning for IoT: This course introduces students to the fundamentals of machine learning and its application in IoT. They explore different machine learning algorithms, such as regression, classification, and clustering, and learn how to train and evaluate models using real-world IoT datasets.
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IoT Applications and Case Studies: Students examine real-world use cases of IoT in various industries, such as healthcare, transportation, agriculture, and smart cities. They analyze the challenges and opportunities associated with implementing IoT solutions.
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Cloud Computing for IoT: This course focuses on the role of cloud computing in supporting IoT applications. Students learn about cloud platforms, such as Amazon Web Services (AWS) and Microsoft Azure, and how to leverage cloud services for scalable and secure IoT deployments.
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IoT Security and Privacy: Students explore the security and privacy challenges posed by IoT devices and networks. They learn about encryption, authentication, and access control mechanisms to ensure the integrity and confidentiality of IoT data.
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IoT Project Management: This course covers project management principles and practices specifically tailored to IoT projects. Students learn how to plan, execute, and manage IoT projects, considering factors such as resource allocation, risk management, and stakeholder engagement.
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Industry Collaboration or Capstone Project: Students have the opportunity to collaborate with industry partners on real-world IoT projects or undertake a capstone project that integrates their knowledge and skills acquired throughout the program.
Location
Davis Brampton
Score
IELTS 6.5
Tuition Fee
CAD 20325
Application fees: CAD $100
Postgraduate Diploma: To be eligible for a postgraduate diploma program at Sheridan College, Indian students must meet the following admission requirements:
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Completed application form: Students must submit a completed application form, along with the application fee, to the college.
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Academic requirements: Indian students should have a bachelor's degree or equivalent with a minimum average of 65%.
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English language proficiency: International students whose first language is not English must demonstrate English language proficiency by providing scores of any of the following tests:
- IELTS (minimum score of 7.0 overall)
- TOEFL (minimum score of 100 for internet-based, or 600 for paper-based)
- PTE (minimum score of 68)
- Work Experience (if required): Some programs may require students to have relevant work experience in the field.
It is important to note that meeting the minimum requirements does not guarantee admission to the programs as admission to Sheridan College is competitive.
Sheridan College does not provide scholarships to international students. However, there are other financial aid options available to international students, such as bursaries and awards. These are typically based on academic achievement, financial need, and community involvement. International students can also explore external scholarship opportunities offered by their home country's government or private organizations. It is recommended that students thoroughly research and apply for these opportunities well in advance of their desired start date at Sheridan College.
Graduates of the Graduate Certificate in Internet of Things and Machine Intelligence program have a wide range of career prospects, including:
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IoT Solution Architect: Graduates can work as IoT solution architects, designing and implementing end-to-end IoT solutions for organizations across various sectors.
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Data Scientist: Graduates can pursue careers as data scientists, leveraging their knowledge of IoT and machine learning to analyze complex datasets and derive actionable insights.
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IoT Consultant: Graduates can become IoT consultants, providing expertise to businesses seeking to adopt IoT technologies and optimize their operations.
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IoT Project Manager: Graduates can work as project managers specializing in IoT projects, overseeing the successful implementation of IoT solutions within organizations.
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IoT Security Specialist: Graduates can focus on IoT security, helping organizations protect their IoT devices, networks, and data from cyber threats.
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IoT Application Developer: Graduates can become IoT application developers, creating software and applications that integrate IoT technologies and provide innovative solutions.
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Data Analyst: Graduates can pursue roles as data analysts, working with IoT-generated data to identify patterns, trends, and insights that drive business decisions.
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Research and Development (R&D) Engineer: Graduates can contribute to IoT-related research and development projects, exploring new technologies and advancing the field.
