Master of Business Analytics and AI
Ontario Tech University offers a highly esteemed Master of Business Analytics and AI pr...
North Oshawa
INTAKE: September
The Bachelor of Science (Honours) in Data Science program at Ontario Tech University is designed to equip students with the knowledge, skills, and practical experience necessary to excel in the rapidly growing field of data science. The Bachelor of Science (Honours) in Data Science program at Ontario Tech University provides students with a comprehensive education in data science, preparing them for rewarding careers in various industries such as finance, healthcare, technology, e-commerce, government, and academia. Graduates emerge as skilled data professionals capable of leveraging data-driven insights to make informed decisions, drive innovation, and address complex challenges in today's data-driven world.
Curriculum:
Foundation in Data Science Fundamentals: Students begin by building a strong foundation in data science fundamentals, including mathematics, statistics, computer science, and data analysis techniques. They learn essential programming languages such as Python and R, as well as data manipulation and visualization tools.
Specialized Coursework: The program offers specialized coursework tailored to the field of data science, covering topics such as machine learning, data mining, predictive analytics, big data technologies, data ethics, and data governance. Students gain hands-on experience working with real-world datasets and applying advanced analytical techniques to extract insights and solve complex problems.
Interdisciplinary Approach: Data science is inherently interdisciplinary, drawing from fields such as computer science, mathematics, statistics, and domain-specific knowledge. The program adopts an interdisciplinary approach, allowing students to explore diverse areas such as business analytics, healthcare informatics, environmental science, social media analysis, and more.
Capstone Projects: Students engage in capstone projects or research initiatives where they apply their knowledge and skills to solve practical data science problems or undertake original research projects under the guidance of faculty mentors. This hands-on experience allows students to showcase their expertise and develop solutions to real-world challenges.
Industry Partnerships and Internships: Ontario Tech University has strong connections with industry partners, providing students with opportunities for internships, co-op placements, or industry projects. These partnerships enable students to gain valuable work experience, build professional networks, and enhance their employability upon graduation.
State-of-the-Art Facilities: The university offers state-of-the-art facilities, including dedicated computer labs, data visualization laboratories, and research centers equipped with the latest software and hardware infrastructure for data analysis, machine learning, and big data processing.
Expert Faculty: Students learn from experienced faculty members who are leading experts in the field of data science, with research expertise in areas such as artificial intelligence, machine learning, data mining, natural language processing, and computational statistics. Faculty members are actively engaged in research and industry collaborations, bringing cutting-edge knowledge and insights into the classroom.
Flexible Learning Options: The program may offer flexible learning options, including part-time study or online courses, to accommodate students' diverse needs and schedules. This flexibility allows working professionals or individuals with other commitments to pursue their education while balancing other responsibilities.
North Oshawa
IELTS: 6.5
CAD 30655
Application Fees : CAD $100
Undergraduate Programs:
Academic Qualifications: International students applying for undergraduate programs at Ontario Tech University are required to have completed a secondary school diploma or equivalent. The minimum academic requirement is a score of 65% or higher in the final year of secondary school or its equivalent.
English Language Proficiency: Proficiency in English is essential for international students to succeed in their studies at Ontario Tech University. The university accepts the International English Language Testing System (IELTS) as one of the recognized English proficiency tests. The minimum required IELTS score for undergraduate programs is 6.5, with no individual band score below 6.0. TOEFL iBT overall score of 83 required with no band less than 19, PTE overall score of 58 is required and DET score of 110 is required.
Additional Requirements: In addition to the academic and English language requirements, some undergraduate programs may have specific prerequisites or additional admission requirements. These requirements may include prerequisite courses, portfolios, interviews, or supplementary application materials. It is important for international students to review the program-specific admission requirements for the program they wish to apply to.
Scholarships available to international students at Ontario Tech University, Canada.
International Excellence Scholarships: Ontario Tech University offers International Excellence Scholarships to exceptional international students entering undergraduate programs. These scholarships are merit-based and recognize academic achievement. The scholarship amount varies and is renewable for subsequent years based on maintaining a specified GPA.
Ontario Tech Graduate Scholarships: International students applying for graduate programs at Ontario Tech University are eligible for Ontario Tech Graduate Scholarships. These scholarships are awarded based on academic merit, research potential, and other criteria determined by individual graduate programs. The scholarship amount varies, and students are automatically considered for these scholarships upon application to their respective programs.
External Scholarships and Awards: Ontario Tech University encourages international students to explore external scholarship opportunities offered by government organizations, non-profit organizations, and other sources. The university provides information and resources to help students identify and apply for external scholarships. Students can also consult their home country's scholarship programs that support studying abroad.
Donor-Funded Scholarships: Ontario Tech University has a number of donor-funded scholarships available to both domestic and international students. These scholarships are made possible through the generosity of individuals, corporations, and organizations. The eligibility criteria, application process, and scholarship amounts vary depending on the specific scholarships.
Research Assistantships and Teaching Assistantships: International graduate students may have the opportunity to work as research assistants or teaching assistants, which not only provide valuable research and teaching experience but also offer financial support. These assistantships may come with a stipend or tuition fee waiver.
Government Funding Programs: International students at Ontario Tech University may be eligible for government funding programs offered by their home country. These programs provide financial assistance for students studying abroad. Students are encouraged to research and explore the various government-sponsored scholarships and grants available in their respective countries.
It's important to note that the availability and criteria for scholarships may vary from year to year. Applying for scholarships typically requires submitting a separate application, meeting specific eligibility criteria, and adhering to application deadlines. International students are advised to plan their scholarship applications well in advance and carefully review the requirements and instructions provided by the university.
Graduating with a Bachelor of Science (Honours) in Data Science from Ontario Tech University opens up a wide range of exciting career opportunities in various sectors. Graduates of the Bachelor of Science (Honours) in Data Science program at Ontario Tech University are well-positioned for diverse and rewarding careers in the rapidly growing field of data science. With their interdisciplinary skills, analytical mindset, and practical experience, they play a vital role in driving data-driven innovation, solving complex problems, and shaping the future of industries worldwide.
Data Analyst: Graduates can pursue roles as data analysts, where they are responsible for collecting, analyzing, and interpreting large volumes of data to uncover insights and trends. They use statistical techniques and data visualization tools to present findings that support decision-making processes within organizations.
Data Scientist: With expertise in machine learning, predictive analytics, and statistical modeling, graduates can work as data scientists. They develop algorithms and predictive models to extract valuable insights from data, solve complex problems, and drive innovation in areas such as healthcare, finance, marketing, and cybersecurity.
Machine Learning Engineer: As machine learning continues to transform industries, there is a growing demand for professionals skilled in developing and deploying machine learning algorithms. Data science graduates can pursue roles as machine learning engineers, designing and implementing algorithms that power intelligent systems and automation solutions.
Business Intelligence Analyst: Businesses rely on data to make strategic decisions and optimize performance. Data science graduates can work as business intelligence analysts, leveraging their analytical skills to interpret data, generate reports, and provide actionable insights that support business objectives and drive growth.
Big Data Engineer: Organizations dealing with large volumes of data require specialists who can design, build, and maintain robust data infrastructure and processing systems. Graduates can pursue careers as big data engineers, working with technologies such as Hadoop, Spark, and NoSQL databases to manage and analyze big data efficiently.
Data Engineer: Data engineers are responsible for designing and optimizing data pipelines and architectures to ensure the efficient flow and storage of data. Graduates with expertise in data engineering principles and technologies can find opportunities in roles focused on data integration, data warehousing, and ETL (extract, transform, load) processes.
Data Visualization Specialist: With a focus on data visualization techniques and tools, graduates can work as data visualization specialists. They create visually compelling dashboards, charts, and interactive visualizations that help stakeholders understand complex data and make informed decisions.
Research Scientist: Graduates interested in advancing the field of data science can pursue careers as research scientists. They work in academic institutions, research labs, or industry research departments, conducting innovative research, publishing scholarly articles, and contributing to advancements in data science theory and methodology.
Consultant: Many consulting firms and technology companies hire data science graduates as consultants to help clients leverage data-driven strategies, optimize processes, and solve business challenges. Consultants may work on a diverse range of projects across different industries, providing valuable expertise and insights.
Entrepreneur: With a solid foundation in data science and entrepreneurial spirit, graduates can start their own data-driven businesses or consulting firms. They may develop innovative products or services, such as data analytics platforms, AI-powered solutions, or predictive modeling tools, to address market needs and opportunities.