Why Should You Do Post Graduation in Data Science in 2022

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What Is PG in Data Science? All Your Queries Answered

Intro

Wondering if doing PG in Data Science is worth doing or not? Then let me tell you:

You should definitely take a post-graduation course in Data Science to advance your career! 

Data science is a field worth exploring when you want an active job that is in demand and pays well. Once you do Post graduation in data science, you’ll be exploring the infinite possibilities in the world of modern and evolving technology.

Buckle up your seats as we dive deeper into this field and see what data science jobs you can secure after doing PG in data science.

What is Data Science?

Data Science is an interdisciplinary field that involves studying a vast volume of data to draw information, make assumptions from patterns, and analyze data with the help of modern tools. This analysis of data can be used to make effective business decisions.

How is PG in Data Science Worth?

Post-graduation in Data Science is a six months to 2 years duration course that trains an individual in Data Science and Analytics. After completing the degree or certificate, they can join a company and help them make effective decisions.

A PG Diploma or MBA in Data Science is one of the most preferred courses as

  • it has less investment
  • it provides all-around data science training
  • it is a fast way to obtain knowledge

Here are some statistics supporting why PG in Data Science is worth doing.

  • As per statistics, the average growth rate for data science jobs is expected to grow by 22% in a decade—which is faster than average for all occupations!
  • In the United States alone, the average annual salary of a data scientist was projected to be $131,490 in 2021.

(A Note: Data science is a vast and ever-growing field, and to get a good position, you need to do MBA or PG in Data Science)

Duration and Types of PG courses in Data Science

When it comes to pursuing post-graduation in data science, you can be thrilled by the variety of courses you can choose from.

Here’s a list of types of PG courses in Data Science

Amongst all the PG courses available, you can choose our PG course in Data Science and Analytics. It is a Flexible MBA course that focuses on the managerial aspect of data science. This AICTE and NSDC-certified course would make you an SQL, Python & Machine Learning expert. This one-year management course will give you practical learning exposure, so you become an asset to the company you join. So check it out today!

 

Duration of the PG course: The course can last from 4 months to 2 years, depending on the type of PG course you’re taking.

Mode of the course: The course can be done online and offline. (IMS Proschool offers both—a classroom program and an online program)

If you’re interested in Data science but not looking for a PG program, you can take a look at our other Data science courses

Who Can Do PG in Data Science?

PG in data science can be done by an individual who wants to take a career path in Computer Science, Engineering, Management, or Business Analysis. The Eligibility differs depending on the type of course you want to do (Master’s degree, Certificate course, MBA, PG diploma).

Also, colleges and the type of PG course you want to specialize in will have different eligibility criteria. For most PG data science courses, the minimum requirement is that you should have at least 50% aggregate. Also, a bachelor’s degree in Computer Science or Science is preferred for admission.

Why Should You Do PG in Data Science?

Data science focuses on the use of complex machine learning algorithms that can be utilized to build predictive models for a business. Following are some benefits of doing post-graduation in Data Science.

Data Science is everywhere

Having high demand, Data science is not limited just to the Information Technology sector; it is in demand in Finance, Banking, Electronics, Consumer Goods, Manufacturing Industries, and all other sectors. This is due to the fact that data science can be used to predict numbers in a business and bring effective solutions. Data Science has also helped the healthcare sector by giving them AI and machine learning to revolutionize the field and save lives.

Get onboard in a reputed company

Many established companies actively hire Data Scientists for various roles. Here are a few of the many reputed corporates that recruit Data scientists in India:

  • Google
  • Amazon
  • Flipkart
  • ICICI Bank
  • Accenture Consulting
  • Twitter
  • HSBC
  • Axis Bank
  • HDFC Bank
  • Microsoft
  • Walmart Labs
  • Instagram
  • Tumblr
  • KPMG

 
High Demand for Data Scientists

At present, there is a high demand for data scientists all around the globe as companies realize the true potential of data science. As days pass, the demand and need for advancement in data science will keep increasing. As per the US Bureau of Labor Statistics, the rising demand for data scientists will lead to 11.5 million data science job openings by 2026.

Have questions related to data science career?

 

Evolving Field

As companies recognize what data science is capable of, it is implemented in every possible field, so it is constantly evolving. As data scientists have diverse skill sets, they can help companies make better decisions using available data. By analyzing the data, they can experiment to find the best solution to a problem. As Data Science can cross paths with other fields like AI,  Blockchain, Machine Learning, Big Data, and Edge Computing — this sector will amaze you.

Handsome Salary

In the USA, the salary of a data scientist is expected to grow by 22% in 10 years. According to Glassdoor, the average pay of a data scientist is Rs 10,00,000/year in 2022, with the highest being Rs 22 lakhs per annum.

All around the world opportunities 

Data science is high in demand, but there is a shortage of supply in this field. This means that there are vacancies all around the world waiting to be filled. So consider this a good time to enter this field.

Interesting job role

In data science, understanding human behavior is a primary focus. So when you’re working as a data scientist, you’ll observe and collect data on how humans make decisions! This will help you to design chatbots, and improve user experience and interface. Not only is the role limited to human behavior, but you’ll also be given an appealing job role.

What Jobs Can I Get After Doing PG in Data Science?

You must’ve seen the statistics at the start of the blog, and by now you know how lucrative this field is—in terms of salary and work. Now, let’s see what data science Jobs you can get after completing your PG. Following is a list of positions that you can acquire in a company:

  • Data Architect
  • Data Scientist
  • Data Engineer
  • Data Analyst
  • Business Intelligence Analyst
  • Machine Learning Engineer or Scientist
  • Analytics Manager
  • Research Analyst
  • Application Architect
  • Enterprise Architect
  • Data Mining Engineer
  • Statistics Consultants
  • Business Intelligence (BI) Developer

And the list goes on depending upon the type of PG course you take!

How Much Salary Can You Expect in India?

In India, many data science courses are available, but the question that bugs people’s minds is, “How much can I earn after doing a PG in Data Science?”

Get ready for the answer! Here are a few statistics of how much a data scientist can earn.

  • In India, the average salary of a Data Scientist is around 7-10 LPA.
  • An entry-level data scientist with less than one year of experience can bag 5 LPA.
  • A Data Scientist with two years of experience or more can get at least 6 LPA.
  • A Data Architect can get around 18 LPA, while a Database Administrator can earn 5 Lakhs in a year.

Depending upon the role, experience and qualification, and the company of employment, the salary can range from 3 LPA to 20 LPA and more!

How to Enroll for a PG in Data Science?

The admission process for PG in Data Science is different as per the type of PG course you want to take. For a PG Diploma in Data Science, the admission is based on marks obtained in a bachelor’s degree in some colleges, while in others, the entrance exam is preferred. The same is for MBA.

No strict set of approaches can be obtained for PG in Data Science, and this is because some courses require a relevant bachelor’s degree, while others require you to have relevant job experience in a field.

Considering this, it’s best first to decide what kind of PG you want to take and the area where you want to specialize in, and then later seek a college or institution for admission.

Excited to start your journey as a data scientist?

 

Future of Data Science

Data science is a broad career and is present in almost all fields — there is a constant exchange of data everywhere. With Data Science, many breakthroughs can be possible in the future. Artificial Intelligence, Machine learning, Internet Of Things (IoT) are all possible only because of Data Science.

As the technology moves forward, it will rely heavily on how data is collected, processed, and delivered to obtain solutions. In short, Data Science will be a high-in-demand field in a few years (it already is!) Keeping the scope of what Data Science has in the future, along with its contribution to the modern technology that we use, it can be said that data science is one of the most creative fields.

Conclusion

There are a multitude of PG courses in data science that you can take after your graduation. If you’re looking to earn a qualification that is equivalent to PGDM + MBA in Data Science at the same time, you should enroll in our Flexi-MBA in data science or Post Graduation in Data Science course!

Upgrade your career and secure a well-paid job with us. Enroll today!

Dwij K

Hi, I'm a seasoned digital marketer with a deep passion for writing about Digital Marketing and Finance. Leveraging my experience working with CFA Charterholders, MBAs from IIMs, and Certified Financial Planners (CFPs), I bring a wealth of knowledge to through my blogs. Currently, I craft insightful blogs for Proschool, an institute renowned for its finance courses. My expertise lies in breaking down complex financial concepts into easily digestible pieces, making me a trusted source for aspiring finance professionals.
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