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Online Data Science Degree or Bootcamp: Which One Gets You Hired Faster in Canada?

Both data science degree programs and boot camps are viable options for students seeking to establish a solid career in this field. However, they cannot pursue both at the same time and must compare them in terms of criteria such as time, curriculum, costs, and hiring outcomes so that they can decide on the most appropriate choices for advancing their careers. They need to be rather decisive in such decisions as well, considering the money they can make as a data professional in Canada. After all, they can earn an average annual base pay of CAD 91,000, going up to CAD 100,000 as well!

This blog will discuss which one among boot camps and master’s programs in data science can get students hired quicker, and also highlight the salient features they should look for while trying to choose the best option.

Source: Glassdoor

Canada Jobs: Bootcamp or Online Degree – What’s Quicker? 

Usually, boot camps finish in a shorter time frame than an online data science master’s program, and they can also prepare students for a job within that time frame. A traditional degree program typically takes 2-4 years to complete, whereas a boot camp focuses on intensive and practical skills training and usually lasts only a few months. 

Pros of Bootcamps

Institutions that offer data science boot camps design them to prepare students for jobs in shorter time frames, typically in just a few months. It also helps that they are significantly more economical compared to full-degree programs in data science. These programs also focus more on real-world projects and practical training, which makes a candidate job-ready quicker.

Cons of Bootcamps 

Bootcamps often do not offer the same depth of technical knowledge as conventional degree programs, and in specific data science jobs this may be a significant issue. In some cases, employers might still demonstrate a preference for a traditional degree over a boot camp certification. At times, boot camps can be demanding and require students to invest a significant amount of their time. 

Pros of Online Degrees

Online data science degree programs offer students a more comprehensive and theoretical foundation in related fields, such as computer science, thereby preparing them well for lucrative data science careers. Employers around the world tend to recognize degrees more than bootcamp certifications. Online programs offer students flexibility in areas such as schedule and pace of learning.   

Cons of Online Degrees

Online degree programs typically take several years to complete, which is one factor that works against them when deciding between boot camps and master’s programs in data science. They tend to be more expensive than boot camps as well, which can be problematic for economically disadvantaged students. Some degree programs do include projects, but they may not be as hands-on as boot camps.

The Final Decision 

The best choice for a student ultimately depends on their career goals, as well as individual circumstances. A boot camp is a good option for students who wish to enter the job market quickly and are okay with a practical and fast-paced learning environment. Degree programs are better options for students who want a more detailed and theoretical foundation and are able to devote the necessary resources and time to master the same. 

Also Read: Best Universities for an Online Master’s in Data Science in Canada

What to Look for in Data Science Programs 

When students aim to choose a data science degree program or a boot camp, they must prioritize factors such as hands-on experience, provision of career services, and a strong curriculum that covers key topics.

Core Area Specific Factors to Consider
Curriculum
  • Core Subjects 
  • Practical Applications
  • Specializations
  • Emerging Technologies 
Learning Experience 
  • Learning Methods 
  • Teaching Style
  • Support 
Career Support 
  • Career Services 
  • Placement Assistance 
Time Commitment and Costs 
  • Financial Aid 
  • Time Investment
Reputation and Reviews 
  • Alumni Feedback
  • Industry Recognition
One’s Needs and Goals 
  • Learning Style
  • Career Aspirations 

Also Read: Best Data Science Certifications for Professionals in Canada

How upGrad’s Programs Offer the Best of Both Worlds

At upGrad, students can access the world’s best data science and analytics courses and boot camps. An upGrad data science course features the latest curriculum, incorporating the latest advancements in generative artificial intelligence, and the boot camps help students kickstart their careers in any tech domain they choose. 

🎓 Explore Our Top-Rated Courses in Canada

Take the next step in your career with industry-relevant online courses designed for working professionals in Canada.

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FAQs On Online Data Science Degree or Bootcamp

Q: Do data science bootcamps lead to good jobs?
Ans: Yes, data science boot camps can lead to good jobs, allowing many graduates to secure positions at leading tech companies.

Q: How long does a data science master’s take online?
Ans: A data science master’s degree program usually takes around two years of full-time study, irrespective of its mode of delivery – online or offline.

Q: Can bootcamp graduates earn a salary comparable to master’s holders?
Ans: Yes, data science boot camp graduates can indeed earn salaries comparable to master’s degree holders and, at times, exceed them as well!

Q: Do employers prefer a master’s over bootcamp grads?
Ans: It is not a matter of preference; instead, employers evaluate degree programs and boot camp certifications differently, based on their specific needs and the requirements of the role. 

Q: Are online master’s programs well-respected in Canada?
Ans: Yes, online master’s degrees are highly respected in Canada by employers and the like, especially when they are from accredited and reputable institutions.

Jay Vora
Jay Vora
Jay Vora is our international sales expert. With exceptional communication and analytical skills, Jay effectively translates business requirements and prioritizes tasks. With a background in Analytics & Technology, Jay brings advanced techniques and a diligent work ethic to our team
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