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Is a Data Science BSc worth it?
I've gotten into a Data Science Bachelors program at the University of Bristol, and I was wondering if it is enough if I want to get into data science or machine learning roles in the future. Would I be disadvantaged as compared to stats/maths or computer science grads.
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T.J.’s Answer
Hello Sarah!
Yes, you can enter machine learning with a Data Science degree! You'll definitely have options for data science roles as well.
Your major will provide coursework in statistics, programming, data modeling and visualization, and data analysis tools. So, you'll have a strong foundation for Machine Learning!
One caveat to this is most Machine Learning positions require a masters degree.
A bachelors in data science is enough for data science jobs! However - If you want to enter Machine Learning specifically, you'll need to research master's degree programs.
Here are some articles about Machine Learning to learn more:
- https://www.coursera.org/articles/what-is-machine-learning-engineer
- https://www.discoverdatascience.org/career-information/machine-learning-engineer/
To make yourself competitive and stand out for jobs, make sure to complete data science internships in college. Indeed and LinkedIn has many intern positions & they're often remote!
- Data Science Intern Jobs | https://www.indeed.com/q-Data-Science-Intern-jobs.html?vjk=2d9438a1e6f75968
Also, you can read & save this article about how to get an internship:
- https://www.coursera.org/articles/data-science-internship
Sending you good luck as you pursue data science :)
If you wanted to look ahead at what Master Degree programs are available for Machine Learning, here's some articles you can read!
100 Best colleges for Machine Learning in the United States | https://edurank.org/cs/machine-learning/us/
Top Master’s Programs In Machine Learning In The US from Analytics India | https://analyticsindiamag.com/top-masters-programs-in-machine-learning-in-the-us/
Yes, you can enter machine learning with a Data Science degree! You'll definitely have options for data science roles as well.
Your major will provide coursework in statistics, programming, data modeling and visualization, and data analysis tools. So, you'll have a strong foundation for Machine Learning!
One caveat to this is most Machine Learning positions require a masters degree.
A bachelors in data science is enough for data science jobs! However - If you want to enter Machine Learning specifically, you'll need to research master's degree programs.
Here are some articles about Machine Learning to learn more:
- https://www.coursera.org/articles/what-is-machine-learning-engineer
- https://www.discoverdatascience.org/career-information/machine-learning-engineer/
To make yourself competitive and stand out for jobs, make sure to complete data science internships in college. Indeed and LinkedIn has many intern positions & they're often remote!
- Data Science Intern Jobs | https://www.indeed.com/q-Data-Science-Intern-jobs.html?vjk=2d9438a1e6f75968
Also, you can read & save this article about how to get an internship:
- https://www.coursera.org/articles/data-science-internship
Sending you good luck as you pursue data science :)
T.J. recommends the following next steps:
Updated
Mangesh’s Answer
All the tech companies continue to seek Data Science technologies.
1) Discover Artificial Intelligence and Data Science - they're the future!
2) Master interpreting Python or Java code in business language. Think of ordering online through an app (like McDonalds, Chipotle, or Taco Bell) - that's Java/Python code! Develop the skill to comprehend business requirements and translate them into programming logic.
3) Become adept at presenting ideas in a straightforward way. Watch Apple product announcement videos for inspiration. Observe how skillfully Steve Jobs communicated his ideas!
1) Discover Artificial Intelligence and Data Science - they're the future!
2) Master interpreting Python or Java code in business language. Think of ordering online through an app (like McDonalds, Chipotle, or Taco Bell) - that's Java/Python code! Develop the skill to comprehend business requirements and translate them into programming logic.
3) Become adept at presenting ideas in a straightforward way. Watch Apple product announcement videos for inspiration. Observe how skillfully Steve Jobs communicated his ideas!
Updated
Adetunji’s Answer
Hello Sarah,
T.J. provided a fantastic response to your question! Studying Data Science will not put you at a disadvantage compared to the alternatives you mentioned. In fact, the BSc Data Science program at the University of Bristol offers a well-rounded curriculum, combining mathematical, statistical, and computational approaches.
To make the most of your Data Science degree and improve your career prospects, consider these actionable steps:
1. Pursue a Master's degree after completing your Bachelor's in Data Science to further strengthen your expertise in the field.
2. Enroll in elective courses that provide complementary business knowledge, such as Economics, Accounting, Finance, and Business Management, if they are available in your program.
3. Actively engage in relevant extracurricular activities, internships, or part-time jobs to gain practical experience and network with professionals in the industry.
4. Seek opportunities to work on real-world data science projects to build a strong portfolio showcasing your skills and problem-solving abilities.
Enjoy your time at the University of Bristol and make the most of the opportunities that come your way. Good luck with your Data Science program!
T.J. provided a fantastic response to your question! Studying Data Science will not put you at a disadvantage compared to the alternatives you mentioned. In fact, the BSc Data Science program at the University of Bristol offers a well-rounded curriculum, combining mathematical, statistical, and computational approaches.
To make the most of your Data Science degree and improve your career prospects, consider these actionable steps:
1. Pursue a Master's degree after completing your Bachelor's in Data Science to further strengthen your expertise in the field.
2. Enroll in elective courses that provide complementary business knowledge, such as Economics, Accounting, Finance, and Business Management, if they are available in your program.
3. Actively engage in relevant extracurricular activities, internships, or part-time jobs to gain practical experience and network with professionals in the industry.
4. Seek opportunities to work on real-world data science projects to build a strong portfolio showcasing your skills and problem-solving abilities.
Enjoy your time at the University of Bristol and make the most of the opportunities that come your way. Good luck with your Data Science program!