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Computational skills can give you an edge in any field or launch you into an exciting career in the tech sector. Our courses provide the foundational skills you’ll need to excel in today’s fast-evolving world, whether it’s in business, science, arts or technology.

Why study computing and data science at CapU?

As BC’s tech sector continues to grow, demand for skilled staff is escalating. Learning computing skills can create a fast path to a great job.

Maybe you’re interested in a career in technology, or perhaps you simply want to expand your portfolio of skills. Just one course can alter your entire career path by opening you up to knowledge that places you a step ahead.

Computing skills are in demand for a variety of careers today, including business, marketing, film production, research and development, engineering and communications.

Small classes and a world of opportunities

Regardless of your major, your knowledge of computing, or where you want to go in life, we have the right course for you. Many CapU students choose computing courses to supplement their education in other programs. Coding, for example, is a springboard to a world of opportunities.

Our courses are hands-on — with small class sizes and easy access to instructors in computer labs — so you’ll quickly hone your skills. We also offer real-world applications such as robotics, simulation modelling, image processing and artificial intelligence at the introductory level.

Our focus on computational thinking means you’ll learn how to think logically and develop stronger problem-solving skills.

Career paths and further education

Whether you choose to use your credits toward the Bachelor of Science degree, another program at CapU or transfer to another university, our courses are a great way to sample different subjects and build up credits.

With a Bachelor of Science, concentration in computational science, students may carry on to a career in technology. Others use these courses to supplement their skills within their chosen fields. Whichever career you aim to pursue, computational skills will give you a competitive advantage.

Related programs

CapU's computing and data science courses can be applied to many programs, including:

Computing & data science courses

CapU’s courses cover a broad variety of topics in computing science, computational science and data science. Not only do we teach coding using a variety of hardware and software tools such as robots and Arduinos, we focus on the social implications that increased use of computers, AI and data processing have on our culture, our economy, and our personal lives.

Are you new to computing? These courses can give you valuable skills to apply to your field of study or future career. No prerequisites required. See where these courses can lead you to using our Computing and Data Science Course Sequence Flowchart (pdf).

  • Computers and their Application (COMP 101) offers a big-picture view of how computers work, what their role is in society, and exposure to learning in the digital world.
  • Programming with Robots (COMP 106) offers an introduction to the basic concepts of hardware, software and programming using robots, for students with little or no experience.
  • Learn to Code (COMP 115) offers a gentle and fun-filled exposure to introductory coding. You’ll learn to develop data structures and algorithms, and to code them in a modern programming language.
  • Computing Technologies in a Digital Culture (COMP 301) focuses on the impact of digital technology on society. This is a non-technical course geared toward third-year students in any program at CapU.

We also offer a broad range of courses for those who are pursuing further knowledge or education within the STEM fields. Our courses are featured in the Bachelor of Science concentration in computational science and are also widely transferrable to other institutions. Consult the BC Transfer Guide to discover your university transfer options.

Related programs

CapU's computing and data science courses can be applied to many programs, including:

Computing & data science courses

CapU’s courses cover a broad variety of topics in computing science, computational science and data science. Not only do we teach coding using a variety of hardware and software tools such as robots and Arduinos, we focus on the social implications that increased use of computers, AI and data processing have on our culture, our economy, and our personal lives.

Are you new to computing? These courses can give you valuable skills to apply to your field of study or future career. No prerequisites required. See where these courses can lead you to using our Computing and Data Science Course Sequence Flowchart (pdf).

  • Computers and their Application (COMP 101) offers a big-picture view of how computers work, what their role is in society, and exposure to learning in the digital world.
  • Programming with Robots (COMP 106) offers an introduction to the basic concepts of hardware, software and programming using robots, for students with little or no experience.
  • Learn to Code (COMP 115) offers a gentle and fun-filled exposure to introductory coding. You’ll learn to develop data structures and algorithms, and to code them in a modern programming language.
  • Computing Technologies in a Digital Culture (COMP 301) focuses on the impact of digital technology on society. This is a non-technical course geared toward third-year students in any program at CapU.

We also offer a broad range of courses for those who are pursuing further knowledge or education within the STEM fields. Our courses are featured in the Bachelor of Science concentration in computational science and are also widely transferrable to other institutions. Consult the BC Transfer Guide to discover your university transfer options.

Student resources

These links can connect you with industry news and information, and help you build connections.

Local

International

Alice Wang
Computer Science Instructor
School of STEM
Computing and Data Science

604 986 1911 ext. 3586
Fir Building, room FR533
awang@capilanou.ca
Andrew Hamilton
Computer Science Instructor
School of STEM
Computing and Data Science

604 986 1911 ext. 3580
Fir Building, room FR533
ahamilton@capilanou.ca
Angela Yee
Divisional Supervisor School of STEM
School of STEM
Engineering
Mathematics & Statistics
Faculty of Arts and Sciences
Biology
Chemistry
Computing and Data Science
Physics

604 983 7599 ext. 7599
Fir Building, room FR471a
ayee@capilanou.ca
Carolina Partida Bujanda
Instructor
Faculty of Arts and Sciences
School of STEM
Computing and Data Science

604 986 1911 ext. 2438
Fir Building, room FR531
carolinapartidabujan@capilanou.ca
Hassan Shavarani
Instructor
Faculty of Arts and Sciences
School of STEM
Computing and Data Science

604 986 1911 ext. 2583
Fir Building, room FR533
sshavarani@capilanou.ca
Jo Wang
Inst. Computing & Data Science
School of STEM
Faculty of Arts and Sciences
Computing and Data Science

604 986 1911 ext. 2437
Fir Building, room FR531
jwang@capilanou.ca
Joseph Fall B.Sc., MRM
Conv. Comp & Data Sci / Instr. Comp Sci
School of STEM
Faculty of Arts and Sciences
Computing and Data Science

604 986 1911 ext. 2494
Fir Building, room FR527
jfall@capilanou.ca
Tamara Dakic B.Sc., M.Sc., PhD
Inst., Computing & Data Science
Faculty of Arts and Sciences
School of STEM
Computing and Data Science

604 983 7562 ext. 7562
Fir Building, room FR533
tdakic@capilanou.ca

Have a question?

Get in touch with us!

About this program

Computing & Data Science Department
604 984 4955
604 983 7520 (fax)
Fir Building, room FR471
sciences@capilanou.ca

Convenor 
Joseph Fall  
604 986 1911, ext. 2494  
jfall@capilanou.ca

General inquiries

Student Information Services
Library Building, room LB152

604-984-4900
604-984-1798 (fax)
registration@capilanou.ca