BA, BSc offered by the Faculty of Science
Transform your passion for data into a rewarding career with 91ÑÇɫ’s program. The cutting-edge curriculum equips you with vital skills in statistical methods, computation, and data analysis. Choose from specialized streams in Business, Health, Computational Arts, Optimization, and Computation to tailor your educational journey. A standout capstone course in your final year allows you to work on real-world challenges alongside industry professionals, providing essential hands-on research experience. Designed in collaboration with prospective employers, our career-focused program ensures that you master programming languages like Python and R, while preparing for impactful roles across various sectors. Graduate with a comprehensive skill set and a competitive advantage in the dynamic field of data science!
Career Options in Data Science
Here are just some of the career options related to this major. As all degrees offer transferable skills, some jobs are more closely linked to this field, than others. Check for regional requirements.
- Artificial Intelligence Specialist
- Big Data Engineer
- Bioinformatics Analyst
- Blockchain Developer
- Business Intelligence Analyst
- Cloud Data Engineer
- Computational Scientist
- Data Analyst
- Data Architect
- Data Engineer
- Data Journalist
- Data Scientist
- Database Administrator
- Decision Scientist
- Digital Forensics Analyst
- Financial Data Analyst
- Geospatial Analyst
- Health Data Analyst
- Image Recognition Engineer
- Information Security Analyst
- Internet of Things (IoT) Specialist
- Machine Learning Engineer
- Market Research Analyst
- Natural Language Processing (NLP) Engineer
- Network Data Engineer
- Operations Research Analyst
- Predictive Analytics Specialist
- Quantitative Analyst
- Research Data Scientist
- Risk Analyst
- Robotics Engineer
- Software Developer
- Statistical Consultant
- Statistical Programmer
- Systems Analyst
- Technology Consultant
- Text Mining Specialist
- Visualization Specialist
- Web Developer
- Wireless Communications Engineer
Some career choices may require further education, such as graduate studies or professional courses and exams. For detailed career descriptions and specific requirements, please check .
Entry-Level Positions in Data Science
An undergraduate degree is typically sufficient for these positions, though some locations may require additional qualifications. For region-specific information, please check .
- Data Analyst
- Data Collection Specialist
- Data Engineer Intern
- Data Management Assistant
- Data Science Intern
- Data Visualization Specialist
- Database Administrator Assistant
- Junior Data Scientist
- Junior Machine Learning Engineer
- Junior Software Developer
- Junior Systems Analyst
- Junior Web Developer
- Machine Learning Intern
- Operations Analyst
- Reporting Analyst
- Research Analyst
- Statistical Assistant
- Statistical Analyst
- Systems Support Analyst
- Technical Business Analyst
- Quality Assurance Analyst
For career descriptions, visit . Some occupations may also be found on ; for login information, navigate to the Career Centre’s homepage in .
Skills Developed through a Degree in Data Science
Core Skills
- Foundations in Data Science: Expertise in analyzing, modeling, and interpreting data.
- Programming: Proficiency in languages such as Python, R, SQL, and Java.
- Mathematical and Statistical Knowledge: Strong understanding of calculus, linear algebra, probability, and statistics.
- Machine Learning: Understanding algorithms, neural networks, and AI models.
- Data Management: Skills in cleaning, transforming, and managing large datasets.
- Visualization and Communication: Presenting insights effectively through tools like Tableau and Power BI.
Communication, Data Gathering, and Organizational Skills
- Communication Skills: Effective verbal and written communication for sharing ideas, findings, and updates with team members and stakeholders.
- Report Writing: Communicating findings through structured reports and documentation.
- Presentation Skills: Effectively presenting data insights to stakeholders using visual aids.
- Project Management: Organizing workflows and managing data science projects from start to finish.
- Data Storytelling: The ability to convey insights and findings through compelling narratives, making complex data understandable to various audiences.
- Presentation Skills: Techniques for effectively presenting data analyses and results to stakeholders, often using visual aids and clear explanations.
- Technical Writing: Skills for creating clear and concise documentation, including reports, research papers, and project summaries, to communicate methodologies and findings effectively.
Management and Teamwork Skills
- Collaboration Tools: Proficiency in tools like Git, JIRA, or Trello for effective team collaboration and project tracking.
- Agile Methodologies: Understanding and applying agile project management principles to enhance team productivity and adaptability.
- Conflict Resolution: Skills for managing and resolving conflicts within teams to maintain a positive and productive work environment.
- Role Assignment and Delegation: Understanding how to assign roles and delegate tasks based on team members' strengths and expertise.
- Cross-Functional Teamwork: Skills for working effectively in diverse teams that include members from various disciplines and backgrounds.
Professional Associations
Professional associations offer valuable insights into qualifications, industry trends, and career opportunities. They provide networking events, workshops, mentorship programs, and internships, as well as job boards and career development resources. Additionally, some associations offer professional licensing and regulatory oversight.
- (IEEE): Focuses on data science, AI, and machine learning. Offers certifications and networking opportunities.
- (DSA): Promotes ethics, standards, and professional development in data science.
- (ACM): Supports data science professionals with publications, conferences, and special interest groups.
- (IIA): Offers insights into analytics trends and career opportunities.
- (SSC): Represents statisticians and data scientists in Canada, offering workshops and conferences.