BSc in Data Sciences and Analytics

Application Fees : CAD$ 130

Undergraduate Programs:

Academic Requirements: To be eligible for undergraduate programs at Brock University, international students must have completed the equivalent of Canadian Grade 12 education or its international equivalent. A minimum overall average of 65% is typically required for admission consideration.

English Language Proficiency: International students whose first language is not English are required to demonstrate their English language proficiency. The accepted English language proficiency tests include IELTS (International English Language Testing System) with a minimum overall band score of 6.5. TOEFL iBT overall score of 88 is required with no band less than 21. PTE Overall score of 58 is required,DET score required is 110.

Additional Requirements: Some undergraduate programs at Brock University may have specific prerequisite courses or additional requirements for admission. These requirements vary depending on the program of study, and applicants are advised to check the specific program requirements on the university's official website.

Brock University offers several scholarships and financial aid opportunities to support international students in their academic journey. 

International Curriculum Scholarship: This scholarship is available to incoming international undergraduate students who have achieved academic excellence in their previous studies. The scholarship amounts vary and are awarded based on academic performance.

International Baccalaureate (IB) Scholarship: Brock University offers scholarships specifically for international students who have completed the International Baccalaureate (IB) program. The scholarship amount is based on the student's IB score and is renewable for up to four years.

Brock Scholars Award: The Brock Scholars Award is a prestigious scholarship for high-achieving international students entering their first year of undergraduate studies. The award recognizes academic excellence, leadership potential, and community involvement. It provides a substantial financial contribution towards tuition fees.

Brock International Award: This award is available to both undergraduate and graduate international students. It recognizes academic excellence and provides financial assistance to help cover tuition fees.

Faculty-specific Scholarships: Many of Brock University's faculties offer scholarships and awards for international students within their respective fields of study. These scholarships are often based on academic achievement, leadership, or specific criteria related to the faculty.

External Scholarships: Brock University also encourages international students to explore external scholarship opportunities offered by government agencies, private organizations, and foundations. The university provides resources and support to help students navigate these external scholarship opportunities.

It's important to note that the availability and criteria for scholarships may vary each year. To apply for scholarships, international students are usually required to submit an application form, academic transcripts, and sometimes a personal statement or reference letters. It is important to review the specific requirements and deadlines for each scholarship and ensure that all application materials are submitted on time.

Graduating with a Bachelor of Science (BSc) in Data Sciences and Analytics from Brock University opens up exciting career opportunities in various industries that rely on data-driven decision-making. With the increasing demand for skilled professionals who can analyze large datasets and extract valuable insights, graduates of this program are well-positioned to pursue rewarding careers in data science, analytics, and related fields. The BSc in Data Sciences and Analytics program at Brock University prepares graduates for diverse and dynamic careers in data-driven industries. With their strong analytical skills, technical expertise, and business acumen, graduates emerge as valuable assets to organizations seeking to harness the power of data to drive innovation, improve decision-making, and achieve strategic objectives.

1. Data Scientist: Graduates may pursue careers as data scientists, leveraging their expertise in statistical analysis, machine learning, and programming to extract insights from complex datasets. They work with structured and unstructured data to identify patterns, trends, and correlations that inform business strategies, product development, marketing campaigns, and operational efficiencies. Data scientists may work in industries such as technology, finance, healthcare, e-commerce, or manufacturing.

2. Business Analyst: Graduates may work as business analysts, analyzing data to identify opportunities for process optimization, cost reduction, revenue enhancement, and risk mitigation. They translate business requirements into data-driven solutions, conduct market research, and develop predictive models to support strategic decision-making. Business analysts may work in corporate settings, consulting firms, or financial institutions, helping organizations leverage data to gain a competitive edge.

3. Data Engineer: Graduates may pursue careers as data engineers, responsible for designing, building, and maintaining data pipelines and infrastructure to support data analytics and machine learning initiatives. They work with big data technologies, cloud platforms, and distributed computing frameworks to ingest, process, and store large volumes of data efficiently. Data engineers play a critical role in ensuring data quality, reliability, and scalability for analytics applications.

4. Data Analyst: Graduates may work as data analysts, focusing on descriptive and diagnostic analytics to interpret data, generate reports, and provide insights into business performance and trends. They clean, transform, and visualize data using tools such as SQL, Python, R, and Tableau to facilitate data-driven decision-making across departments. Data analysts may work in industries such as retail, healthcare, marketing, or government, supporting operational and strategic objectives.

5. Machine Learning Engineer: Graduates may specialize in machine learning engineering, developing and deploying machine learning models and algorithms to solve business problems and automate decision-making processes. They work with supervised and unsupervised learning techniques to build predictive models for classification, regression, clustering, and recommendation systems. Machine learning engineers may work in technology companies, startups, or research organizations focused on artificial intelligence and data science.

6. Quantitative Analyst (Quant): Graduates with strong mathematical and statistical skills may pursue careers as quantitative analysts, applying quantitative methods and models to analyze financial markets, manage investment portfolios, and develop trading strategies. They use statistical analysis, time series forecasting, and risk modeling techniques to assess market trends, measure risk exposures, and optimize investment returns. Quants may work in financial institutions, hedge funds, asset management firms, or proprietary trading firms.

7. Healthcare Data Analyst: Graduates may specialize in healthcare analytics, analyzing clinical, administrative, and financial data to improve patient outcomes, enhance operational efficiency, and reduce healthcare costs. They work with electronic health records, medical claims data, and health information systems to identify patterns, assess performance metrics, and support evidence-based decision-making in healthcare delivery and management. Healthcare data analysts may work in hospitals, healthcare organizations, insurance companies, or government agencies.

8. Marketing Analyst: Graduates may work as marketing analysts, leveraging data analytics techniques to understand consumer behavior, measure marketing effectiveness, and optimize marketing campaigns. They analyze customer data, website analytics, and social media metrics to identify target audiences, personalize marketing messages, and maximize return on investment. Marketing analysts may work in advertising agencies, digital marketing firms, e-commerce companies, or consumer goods companies.

9. Cybersecurity Analyst: Graduates may specialize in cybersecurity analytics, analyzing network traffic, log data, and security events to detect and respond to cyber threats and security incidents. They use data analytics and machine learning techniques to identify anomalies, patterns of malicious activity, and vulnerabilities in IT systems. Cybersecurity analysts play a critical role in protecting organizations from cyber attacks and ensuring the confidentiality, integrity, and availability of data and systems.

10. Research Scientist: Graduates may pursue careers as research scientists in academia, government, or industry, conducting research and development in areas such as data science, artificial intelligence, and machine learning. They explore new algorithms, methodologies, and applications of data analytics to address scientific challenges, advance knowledge in their field, and drive innovation. Research scientists may work in research institutions, laboratories, or technology companies, contributing to breakthroughs in data science and analytics.