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Sheridan College, located in Ontario, Canada, is a prestigious educational institution ...
Honours Bachelor of Computer Science(Specialty in Data Analytics)
Trafalgar Campus (Oakville)
INTAKE: Jan & Sept
Program Overview
The Honours Bachelor of Computer Science program at Sheridan College, with a specialty in Data Analytics, is tailored for students interested in harnessing the power of data to drive decision-making and innovation. Over four years, students dive into the core principles of computer science and software engineering while focusing on specialized skills in data analysis, statistical modeling, and machine learning. Through a blend of theoretical coursework, hands-on projects, and experiential learning opportunities, students develop the expertise needed to extract insights from large datasets, develop predictive models, and solve complex business problems. With a strong emphasis on data-driven decision-making and practical application, graduates emerge as skilled data analysts equipped to tackle the challenges of today's data-driven world.
Curriculum:
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Foundational Computer Science Curriculum: The program provides students with a comprehensive curriculum covering essential topics in computer science, including programming languages, algorithms, data structures, and database systems. Students develop a solid foundation in computer science theory and practice.
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Specialization in Data Analytics: With a specialty in data analytics, students gain in-depth knowledge and skills related to data manipulation, analysis, and visualization. They learn to use tools and techniques such as Python, R, SQL, and Tableau to explore data, identify patterns, and extract meaningful insights.
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Statistical Modeling and Machine Learning: The program emphasizes statistical modeling and machine learning techniques, enabling students to develop predictive models and algorithms for analyzing complex datasets. They learn about regression analysis, classification, clustering, and other machine learning algorithms.
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Hands-on Data Projects: Students engage in hands-on data projects throughout their studies, applying their knowledge and skills to real-world datasets and scenarios. They work on projects such as predictive modeling, data visualization, and data mining, gaining practical experience with industry-standard tools and technologies.
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Experiential Learning Opportunities: The program offers experiential learning opportunities, such as internships, co-op placements, and industry projects, allowing students to gain real-world experience and build professional networks in the field of data analytics.
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Business and Domain Knowledge: Students develop an understanding of business and domain knowledge, learning how to translate data insights into actionable recommendations and strategic decisions for organizations across various industries.
Location
Trafalgar Campus (Oakville)
Score
IELTS: 6.5
Tuition Fee
CAD 19248
Application Fees: CAD $ 100
Academic Requirements: International students applying for undergraduate programs at Sheridan College should have a minimum academic achievement of 65% or above in their previous educational qualifications.
English Language Proficiency:
- IELTS: A minimum overall score of 6.5, with no band score less than 6.
- TOEFL: A minimum score of 88 on the internet-based test (iBT).
- PTE Academic: A minimum score of 60.
- DET Score: A minimum DET score of 115.
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.
Graduating with an Honours Bachelor of Computer Science degree, with a specialty in Data Analytics, from Sheridan College opens up a wide array of lucrative career opportunities in the rapidly expanding field of data analytics and business intelligence. Equipped with specialized skills in data manipulation, statistical modeling, and machine learning, graduates are highly sought after by organizations across various industries eager to leverage data-driven insights for strategic decision-making and competitive advantage.
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Data Analyst: Graduates can work as data analysts, responsible for collecting, processing, and analyzing large datasets to extract actionable insights and trends. They use statistical techniques and data visualization tools to interpret data and present findings to stakeholders, informing business strategies and decision-making processes.
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Business Intelligence Analyst: Graduates may pursue careers as business intelligence analysts, focusing on the interpretation of business data to identify opportunities for improvement and optimization. They develop dashboards, reports, and key performance indicators (KPIs) to monitor business performance and support informed decision-making at all levels of the organization.
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Data Scientist: With expertise in statistical modeling and machine learning, graduates can work as data scientists, leveraging advanced analytics techniques to uncover complex patterns and trends in data. They develop predictive models, algorithms, and data-driven solutions to solve business problems and drive innovation.
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Machine Learning Engineer: Graduates may specialize in machine learning engineering roles, focusing on the development and implementation of machine learning algorithms and models. They design and train algorithms to analyze data, make predictions, and automate decision-making processes in areas such as recommendation systems, natural language processing, and image recognition.
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Data Engineer: Graduates can work as data engineers, responsible for designing, building, and maintaining data pipelines and infrastructure to support data analysis and processing. They develop data integration solutions, optimize data storage and retrieval systems, and ensure the quality and reliability of data for analytics purposes.
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Big Data Architect: With expertise in big data technologies, graduates may pursue careers as big data architects, designing and implementing scalable and efficient data storage and processing systems. They work with technologies such as Hadoop, Spark, and Kafka to manage and analyze large volumes of data for business insights and decision support.
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Analytics Consultant: Graduates can work as analytics consultants, providing strategic advice and consulting services to organizations looking to leverage data analytics for competitive advantage. They assess business requirements, develop analytics strategies, and implement solutions to address specific business challenges and opportunities.
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Quantitative Analyst (Quant): Graduates with strong mathematical and analytical skills can pursue careers as quantitative analysts, working in finance, risk management, or investment banking. They develop mathematical models and algorithms to analyze financial data, assess risk, and make informed investment decisions.
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Market Research Analyst: Graduates may specialize in market research roles, conducting surveys, analyzing consumer behavior, and interpreting market trends to support marketing and business development efforts. They provide insights and recommendations to guide product development, pricing strategies, and marketing campaigns.
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Healthcare Data Analyst: With a growing demand for data-driven insights in healthcare, graduates can work as healthcare data analysts, analyzing patient data, clinical outcomes, and healthcare trends to improve patient care, optimize healthcare delivery, and reduce costs.
