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Math Major Computer Science Minor Internship Jobs in Alberta

Bachelor's degree or formal qualifications from an institute of technology in a STEM related discipline, such as Mathematics, Engineering or Computer Science. * Development experience utilizing Java ...

Degree in Computer Science, Engineering, Mathematics, or related STEM discipline . * Strong programming and query skills in SQL and Python . * Experience working with distributed version control ...

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Math Major Computer Science Minor Internship information

What is a math major computer science minor internship?

A Math Major with a Computer Science Minor Internship is a work experience opportunity designed for students who are pursuing a major in mathematics and a minor in computer science. These internships allow students to apply their mathematical reasoning and computational skills in real-world settings, such as tech companies, finance, data analysis, or research labs. Interns often work on projects involving programming, data analysis, algorithm development, or modeling. The experience helps students build both technical and professional skills, making them more competitive for future jobs or graduate studies.

How can a math major computer science minor leverage their skills during an internship?

As a Math Major with a Computer Science Minor, you bring a strong analytical foundation and programming skills to your internship. You'll often be tasked with data analysis, algorithm development, or software testing, where your mathematical reasoning and coding abilities are highly valued. Collaborating with multidisciplinary teams, you'll contribute to problem-solving sessions and may assist in developing models or tools for real-world applications. This blend of skills not only allows you to take on complex technical tasks but also positions you well for future roles in data science, software engineering, or research.

What are the key skills and qualifications needed to thrive in a math major computer science minor internship, and why are they important?

To excel in a Math Major Computer Science Minor Internship, you need strong analytical skills, mathematical reasoning, programming knowledge, and a solid academic background in both mathematics and computer science. Familiarity with programming languages (such as Python, Java, or C++), software development tools, and data analysis platforms is typically expected. Problem-solving ability, effective communication, and a collaborative mindset are valuable soft skills that help interns succeed in team environments. These competencies ensure interns can tackle technical challenges, contribute meaningfully to projects, and adapt to the dynamic demands of technology-driven workplaces.

What is the difference between Math Major Computer Science Minor Internship vs Data Analyst?

AspectMath Major Computer Science Minor InternshipData Analyst
Required CredentialsRelevant coursework in math and CS, internship experienceDegree in math, statistics, or related field; some roles prefer certifications
Work EnvironmentInternship setting, often in tech or finance companiesOffice-based, data-focused roles in various industries
Industry UsageUsed for gaining experience and skills in tech, finance, or consultingAnalyzing data to inform business decisions across industries

The Math Major Computer Science Minor Internship provides hands-on experience combining math and CS skills, ideal for those exploring tech or finance fields. Data Analysts focus on interpreting data to support business strategies, often requiring similar educational backgrounds. Both roles involve working with data and technical skills, but internships are temporary learning positions, while Data Analysts are full-time roles with ongoing responsibilities.

What can I do with a math major computer science minor internship?

A math major with a computer science minor internship provides experience in data analysis, programming, and problem-solving, preparing you for roles such as software developer, data analyst, or quantitative analyst. It helps develop skills in programming languages like Python or Java and understanding of algorithms, which are valuable in tech, finance, and research industries.

What can you do with a math major and computer science minor?

A math major with a computer science minor prepares for roles such as data analyst, software developer, quantitative analyst, or systems analyst. These positions often require strong problem-solving, programming skills, and knowledge of algorithms, with common tools including Python, Java, or SQL.

What internships can you do as a math major computer science minor internship?

As a math major with a computer science minor, you can pursue internships in software development, data analysis, cybersecurity, quantitative research, or machine learning. These roles often involve programming languages like Python or Java, and may require knowledge of algorithms, data structures, and statistical methods.

What are popular job titles related to Math Major Computer Science Minor Internship jobs in Alberta?

For Math Major Computer Science Minor Internship jobs in Alberta, the most frequently searched job titles are:

What job categories do people searching Math Major Computer Science Minor Internship jobs in Alberta look for?

The top searched job categories for Math Major Computer Science Minor Internship jobs in Alberta are:

What cities in Alberta are hiring for Math Major Computer Science Minor Internship jobs?

Cities in Alberta with the most Math Major Computer Science Minor Internship job openings:

2027 Winter Student Opportunities RBC Borealis - Machine Learning Software Engineer, 4-8 Months

Rbc

Calgary, AB โ€ข On-site

Full-time

Posted 15 days ago


Job description

Job Description

LOCATION: TORONTO, VANCOUVER, CALGARY

What's the opportunity?

We're looking for an enthusiastic software engineer who's excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a Co-op Machine Learning Software Engineer, you'll be involved a project end to end - everything from data pre-processing to implementing machine learning algorithms and front-end development.

At RBC Borealis, you'll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at rbcborealis.com.

Your responsibilities include:

  • Building machine learning-based software solutions for solving important problems;

  • Collaborating with research and business teams to converge on the best solutions;

  • Optimizing algorithms and prototypical solutions for efficient implementation;

  • Extending prototypes into fully functional, polished solutions ready for internal and/or external use;

  • Supporting projects with thorough documentation of usage, design decisions and capabilities;

  • Extracting, transforming and loading massive datasets using distributed computing framework technologies (Hadoop, Spark, etc.);

You're our ideal candidate if you:

  • Are working on a bachelors or masters degree in Computer Science, Computer Engineering, Software Engineering, or equivalent;

  • Have some software development experience (including co-op and internships);

  • Have experience with writing software in one of the major languages such as C++, C#, Java, Python;

  • Have familiarity with the Unix command line and bash scripting;

  • Experience with Deep Learning packages such as Tensorflow, Theano, Keras and PyTorch is an asset;

  • Exposure to distributed computing frameworks (e.g. Hadoop, Spark) as well as SQL, NoSQL and graph databases is an asset;

What's in it for you?

  • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;

  • Ability to make a difference and lasting impact from a local-to-global scale.

About RBC Borealis

RBC Borealis is the driving force behind Royal Bank of Canada's AI and data innovation. As part of Canada's largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we're at the forefront of AI research and platform development. With a focus on cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering, to solve critical challenges in the financial industry. We are building intelligent, and scalable, data-driven solutions that will help communities thrive and drive innovation for our customers across the bank.

Inclusion and Equal Opportunity Employment

At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.

We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

Required Documents: Resume and Academic Transcripts (unofficial are acceptable) in one PDF document
Please ensure you submit these two documents in one PDF document under the "resume" section. Do not submit them separately.

We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is September 20, 2026. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

EARLYTECHTALENT

Job Skills

Active Learning, Adaptability, Communication, Creativity, Interpersonal Relationships, Listening Effectively, Personal Development, Personal Initiative, Teamwork

Additional Job Details

Address:

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Student/Coop (Fixed Term)

Pay Type:

Salaried

Posted Date:

2026-08-17

Application Deadline:

2026-09-21

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.