Computer Science, Data Science or Mathematics? Planning for the Future in the AI Era
For students who enjoy mathematics, computers or coding, choosing a university program can feel both exciting and overwhelming. Computer Science, Data Science and Mathematics offer different ways to explore problems, develop ideas and build useful skills—but how can students decide which direction suits them?
As AI becomes part of the conversation about education and careers, families are also asking: What should students learn today to prepare for tomorrow?
These questions are the focus of Maple Study Link’s Maple Pathways online sharing session on October 29, 2026, featuring Eric Ni, Senior Software Engineer at Salesforce and Canadian Computing Competition (CCC) instructor at Maple Study Link.
Eric brings undergraduate and graduate experience in Computer Science at the University of Waterloo, along with previous software engineering experience at Huawei Technologies Canada, where he worked on database systems. His background connects university learning, research, professional practice and student mentorship.
Understanding the Differences
Although Computer Science, Data Science and Mathematics overlap, they place different emphasis on how students approach problems.
Computer Science explores computation, algorithms and computer systems. Students interested in understanding how software works, developing applications or solving computational problems may find this direction appealing.
Data Science combines programming, statistics and mathematical thinking to investigate questions using data. It can appeal to students who enjoy identifying patterns, evaluating evidence and explaining what their findings mean.
Mathematics develops abstraction, logical reasoning and problem-solving. Depending on their courses and specialization, students can explore theoretical questions or applications connected to computing, statistics, finance and other fields.
Program names provide a starting point. Students should also examine the actual courses, opportunities to explore different subjects, and available practical learning experiences.
Asking Better Questions About AI
For families considering these pathways, a useful question is: How can students learn to work effectively and thoughtfully with AI?
Our session explores how AI can support learning and professional work, alongside the importance of understanding and checking its output.
For a student learning to code, producing an answer is only one part of the task. Can they explain the solution, test it, identify mistakes and improve their approach? For a student working with data, can they assess whether the evidence supports a conclusion?
These questions help families focus on the abilities students are developing: reasoning, judgment, communication and independent problem-solving.
Exploring Interests Before Choosing a Program
Students do not need a fixed career plan before they begin exploring. Small, purposeful experiences can give them better information about themselves.
A coding project, mathematical investigation, data analysis activity or programming competition can help students reflect on questions such as:
Which parts of the task did I enjoy?
What did I do when I became stuck?
Did I prefer building, analyzing, explaining or investigating?
What would I like to learn next?
The value comes from completing the experience, receiving feedback and using that learning to guide future choices.
Connecting Exploration With a Student’s Roadmap
At Maple Study Link, we help students connect academic planning with career exploration, skill development and reflection. Contact Us Now
Through course planning, mentorship, contest preparation and selected project experiences, we support students in developing a clearer understanding of their interests and strengths — and turning that understanding into practical next steps.
Maple Pathways: Choosing Computer Science, Data Science or Mathematics in the AI Era
Speaker: Eric Ni
Date: Thursday, October 29, 2026
Time: 8:00–9:00 p.m., Toronto time
Format: Online
Audience: High school students, parents and early-year university students exploring these fields
Interested in exploring these pathways or planning your next academic steps?
Contact Maple Study Link to learn more about our events and student support services.
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