Graduate Certificate in Addictions and Mental Health
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Honours Bachelor of Artificial Intelligence
Oshawa
INTAKE: September
Program Overview
Durham College's Honours Bachelor of Artificial Intelligence program is designed to prepare students for careers at the forefront of technology and innovation. This program provides a comprehensive education in the theory, applications, and ethical considerations of artificial intelligence (AI). Students learn to develop AI solutions that address real-world problems across various industries, including healthcare, finance, transportation, and entertainment. Through a blend of theoretical coursework, hands-on projects, and industry collaborations, students gain expertise in machine learning, natural language processing, computer vision, and robotics. Graduates of this program are equipped with the skills and knowledge to drive innovation, solve complex problems, and shape the future of AI-driven technologies.
Curriculum:
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Foundations of Artificial Intelligence: The program begins with a comprehensive exploration of the foundational concepts, theories, and methodologies of artificial intelligence. Students learn about the history of AI, its theoretical underpinnings, and its applications across various domains. They study key topics such as problem-solving, knowledge representation, logic, and search algorithms, gaining a deep understanding of the fundamental principles that govern intelligent systems.
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Machine Learning and Data Analytics: Students delve into the field of machine learning, which forms the backbone of modern AI systems. They learn about supervised and unsupervised learning algorithms, regression, classification, clustering, and neural networks. Through hands-on projects and case studies, students gain practical experience in data preprocessing, model training, evaluation, and deployment. They also explore techniques for data visualization and analysis to derive meaningful insights from large and complex datasets.
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Natural Language Processing and Speech Recognition: The program covers natural language processing (NLP) and speech recognition technologies, which enable machines to understand and generate human language. Students learn about language modeling, text classification, sentiment analysis, and machine translation. They explore techniques for speech recognition, synthesis, and understanding, as well as applications such as virtual assistants, chatbots, and automated transcription systems.
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Computer Vision and Image Processing: Students acquire skills in computer vision and image processing, which enable machines to interpret and analyze visual information from the environment. They learn about image preprocessing, feature extraction, object detection, segmentation, and recognition. Through practical projects, students develop applications such as face recognition, object tracking, autonomous vehicles, and medical image analysis, gaining insights into the capabilities and limitations of computer vision algorithms.
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Ethical and Societal Implications of AI: The program addresses the ethical, legal, and societal implications of artificial intelligence. Students explore topics such as bias and fairness in AI algorithms, privacy concerns, algorithmic accountability, and the impact of AI on employment and society. They engage in discussions about responsible AI development and deployment, ethical decision-making frameworks, and regulatory policies to ensure the responsible and ethical use of AI technologies.
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Experiential Learning and Industry Partnerships: Students have opportunities for experiential learning, industry collaborations, and internships with leading companies and research institutions. They work on real-world projects, solve industry challenges, and gain practical experience in developing AI solutions for diverse applications. Experiential learning opportunities enhance students' employability, industry readiness, and practical skills, preparing them for successful careers in the rapidly evolving field of artificial intelligence.
Location
Oshawa
Score
IELTS: 6.5
Tuition Fee
CAD 17818
Undergraduate Programs:
Application Fee: CAD $100
- Minimum Academic Requirement: International students applying for undergraduate programs at Durham College must have completed their secondary education or equivalent with a minimum overall average of 65% or higher.
- English Language Proficiency:
- IELTS: A minimum overall score of 6.5, with no band score less than 6.
- PTE Academic: A minimum score of 53.
While Durham College does not offer specific scholarships for international students, there are alternative funding options available. It is recommended that international students thoroughly research and explore various scholarship and financial aid opportunities, both within and outside the college, to support their educational journey at Durham College.
External Scholarships: International students can search for scholarships offered by external organizations, such as government agencies, private foundations, and international organizations. These scholarships may be available based on country of origin, field of study, academic achievement, or other criteria. Students can conduct thorough research and apply for scholarships that align with their eligibility criteria.
Educational Loans: International students can consider applying for educational loans from financial institutions or banks in their home country or Canada. These loans can help cover tuition fees, living expenses, and other educational costs. It is advisable to research and compare different loan options, including interest rates and repayment terms, before making a decision.
Graduating with an Honours Bachelor of Artificial Intelligence degree from Durham College opens up exciting career opportunities in various industries at the forefront of technological innovation. As AI continues to revolutionize businesses and society, the demand for skilled professionals in this field is on the rise.
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AI Developer/Engineer: Graduates can pursue careers as AI developers or engineers, responsible for designing, developing, and implementing AI solutions and applications. They work on projects such as natural language processing systems, computer vision applications, recommendation engines, and autonomous robots. AI developers use programming languages such as Python, R, Java, or C++ and AI frameworks like TensorFlow, PyTorch, or scikit-learn to build and deploy AI models and algorithms.
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Data Scientist/Analyst: Graduates may work as data scientists or analysts, leveraging AI and machine learning techniques to extract insights from large and complex datasets. They use statistical analysis, data mining, and predictive modeling to uncover patterns, trends, and correlations that drive informed decision-making and business strategies. Data scientists work in various industries such as finance, healthcare, e-commerce, and marketing, helping organizations optimize processes, enhance products, and drive innovation.
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Machine Learning Engineer: Graduates can pursue careers as machine learning engineers, specializing in the design and development of machine learning algorithms and models. They work on projects such as predictive analytics, recommendation systems, anomaly detection, and pattern recognition. Machine learning engineers collaborate with cross-functional teams to collect, preprocess, and analyze data, train machine learning models, and deploy them into production environments.
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AI Researcher/Scientist: Graduates may work as AI researchers or scientists, conducting cutting-edge research in artificial intelligence, machine learning, and related fields. They work in academia, research institutions, or corporate research labs, exploring new algorithms, techniques, and applications to push the boundaries of AI technology. AI researchers publish their findings in academic journals and conferences, contribute to open-source projects, and collaborate with industry partners to advance the state-of-the-art in AI.
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AI Consultant/Solution Architect: Graduates can pursue careers as AI consultants or solution architects, advising organizations on the strategic adoption and implementation of AI technologies. They assess business needs, identify opportunities for AI integration, and develop customized AI solutions to address specific challenges and objectives. AI consultants work with clients to define project requirements, recommend appropriate AI tools and techniques, and oversee implementation and deployment efforts.
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AI Ethicist/Policy Advisor: Graduates may work as AI ethicists or policy advisors, focusing on the ethical, legal, and societal implications of artificial intelligence. They analyze the impact of AI technologies on privacy, security, fairness, and human rights, and develop policies and guidelines to ensure responsible and ethical AI development and deployment. AI ethicists collaborate with government agencies, industry associations, and advocacy groups to shape AI policies, regulations, and standards.
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Entrepreneur/Startup Founder: Graduates with an entrepreneurial spirit may choose to start their own AI-driven startups or technology companies. They identify market opportunities, develop innovative AI products or services, and build scalable business models to commercialize their ideas. AI entrepreneurs leverage their technical expertise, creativity, and business acumen to disrupt industries, solve pressing problems, and create value for customers and stakeholders.
