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Can an industrial engineer be a data scientist?

It is right that an industrial engineer can become a data scientist, this is what we’ll be discovering in our post today.

Can an industrial engineer be a data scientist?

An industrial engineer can become a data scientist but he must take some computer undergrad courses, by going back to majoring in computer science which is not a good choice. There are other alternatives like taking online courses, self-studying yourself, or even better taking private courses like boot camps. You should invest money but you will be surrounded by expert people giving you shortcuts.

But suppose you are looking to get hired directly with your bachelor’s in data science. In that case, this is not possible because industrial engineers don’t study a lot of topics data science requires, including:

So there are a lot of topics and steps you should take, which we will mention in detail in the next paragraph, especially the paragraph on how to switch from industrial engineering to data science.

Is data science related to industrial engineering?

Data science is a field that bridges the divide between engineering and analytics. Data scientists work with data in order to develop insights that can be applied to solve problems in business or industry. They use techniques such as data mining, machine learning, and natural language processing in order to derive insights from data.

Because data science is so related to both business and engineering, it is often seen as a bridge discipline that can help professionals in both fields.

Industrial engineers are responsible for designing, managing, and maintaining the infrastructure of industrial plants. This may include designing and installing machines, equipment, and systems; measuring performance; and troubleshooting problems. They may also work on projects that improve efficiency or safety in the manufacturing process.

Data scientists and industrial engineering by studying the same curriculum of mathematics which includes calculus courses, probability and statistics, multivariable calculus, differential equations, and linear algebra.

 Data scientists study data that involve any domain, including business Healthcare Finance; everything that is driven by data is the job of a data scientist. They help businesses to make good decisions according to the analysis of data they make.

Wild Industrial Engineers are employing their mathematics knowledge in just one specific field which is industrial auto manufacturing. They use mathematics knowledge to improve the efficiency of production or delivery service quality.

For instance, it can be increasing the number of cars produced every year or reducing the raw material embedded in this case to economize and earn more money.

Tips to know before switching from industrial engineering to data science

before giving an entire plan on how to switch from industrial engineering to data science you have to understand these things:

  • You do not need to have a degree in computer science to do data science. Even though there is some overlap between computer science and data science, you still have many opportunities to learn data science without spending 4 years in computer science, which we’ll be talking about in detail.
  • Industrial engineering is a better fit for data science because you’ve taken an in-depth look at engineering from aspects of the business, statistics, and optimization that a general computer science student might not have. Together with industrial engineering and computer science, your skills will make you highly sought-after.
  • Remember you will be competing against individuals who hold doctoral degrees or masters in data science. You have to show your skills and talents in this field, not just for money. But the demand is much larger, if you have good talent and gain enough experience you can reach skyrocket salaries, around $150,000 to $200,000 within 5 to 10 years of experience.

How to switch from industrial engineering to data science

to switch from industrial engineering to data science you have three options:

1 – go back and graduate with a computer science the degree

Yes, you could go back and study computer science, but It’s not a good idea to go back and get a computer science degree to learn data science because it’s not necessary. you don’t need to spend $100,000 and lose 4 years. There are other alternatives we will mention below.

2 – self teach yourself data science

There is a lot of information available on the internet about data science. Start by finding a few reputable sources, such as websites or online courses like Udemy, Coursera, and skillshare. Once you have some basic concepts down, start practicing with small datasets. Then, as you feel more comfortable, begin working with larger datasets.

In these courses, you will be learning some related courses like deep learning, databases, and artificial intelligence, and you have all the resources. Your excellent background in industrial engineering will be so helpful, especially in calculus, linear algebra, probability, and statistics. You just have to work and train yourself.

3 – enroll in boot camps in data science

A boot camp in data science is a private school or program where you can learn data science. You will be surrounded by experienced people in the field, and they squeeze the program into 6 months or less by giving you accelerated and concentrated sessions around the field.

Boot camps are the best methods to learn data science because:

These classes are expensive. They might cost around $10,000, but it is cheaper if we compare it to college tuition, which costs 10 times that. But the most interesting thing is that you will receive guidance and mentoring from people who are working in the industry, giving you all tricks and tips to find a job, and what are things demanded in the market. It saves a lot of time, money, and effort.