Top 6 High-Demand Career After Earning an MBA in Data Science
Science isn’t just experiments and theories. The focus is often data. Many numbers, patterns, and insights. Data is essential to digital advertising. Global leaders like Google, Facebook, and Amazon use data to spend ad money wisely.
There are many businesses, such as Neural Edge and Adverio, that use data science to find the best prices for ads. This isn’t just about ads either. Almost every company is putting money into projects to change their data. There are a lot of job openings right now, which makes it a great time to start a career in Data Science. These examples show why you should become a data scientist.
Even though there are many different options, getting an MBA in Data Science can really help your career. You can become a manager, or you can take this course if you’re interested in data science. This blog post talks about some of the job options that are out there for people with an MBA in Data Science.
About MBA in Data Science
Data science is the field which explores how to use raw data to find useful business insights. An MBA in Data Science is an academic discipline that combines skills from Business Management with subjects like Math, Statistics, AI, and Computer Engineering. This gives you the knowledge to analyze huge amounts of data. Besides that, the course teaches you how to use your data analysis to come up with business insights and plans. But why do businesses need people who are good at data science?
Big Data is becoming more important these days, and businesses want to change their ways of doing things by using data to make better decisions and perform better.
| S/n | Job Roles | Average Salary |
|---|---|---|
| 1 | Data Analysts | INR 6.3 – 13 LPA |
| 2 | Data Scientist | INR 14.5 – 28 LPA |
| 3 | Entrepreneur | INR 13.6 – 31.7 LPA |
| 4 | Data Product Manager | INR 14 – 21 Lakh |
| 5 | Data Engineer | INR 10.08 – 21 Lakh |
| 6 | Academic Researcher | INR 2.1 – 6.5 Lakh |
1. Data Analyst
Data Analysts know how to take raw data and turn it into insights that make sense. Data Scientists, on the other hand, build models and make predictions. To find patterns and trends, they clean, process, and look through data. Stakeholders are then given this information to help them make decisions. In the healthcare field, a Data Analyst might look at information about patients to find patterns in disease outbreaks or make therapies more effective.
2. Data Scientist
This is the most apparent professional route for the majority of individuals who have obtained an MBA in Data Science. Data scientists are the legends of the field of data science. As a Data Scientist, your primary responsibility will be analysing extensive datasets to uncover latent patterns. This data will be utilized to address intricate corporate challenges and make well-informed judgments.
If you are employed in an online business, your role will involve analyzing customer buying behavior to provide suggestions for goods and manage pricing strategies effectively.
3. Entrepreneur
Not all of you would choose to job. You might be one of those people who wants to start their own business and be an entrepreneur. It is possible to get an MBA in Data Science. You will discover the things you need to know to start your own business that is based on data.
You can make products or services that are based on data or help other businesses with their data strategies. Someone who works in the healthcare field might make a mobile app that keeps track of patients’ health information and gives them personalized advice.
4. Data Product Manager
You will connect business and data science as a Data Product Manager. You will look for ways that data can be used to make novel goods and services. You’ll be working with engineers and data scientists to make and release products that are based on data. For example, a Data Product Manager in the retail business can make a recommendation engine to help boost sales.
5. Data Engineer
Data engineers are the leaders of the data world who don’t get much credit. They build and take care of the systems that allow data analysis and processing. They plan and set up solutions for data warehouses, data pipelines, and databases. In the telecommunications industry, a Data Engineer might build systems that look at how customers use networks to make them run more smoothly.
6. Academic Researcher
It is possible to work in academia if you love doing research. You can do research to help the field move forward and teach courses in data science. Researchers in universities are at the cutting edge of new ideas in data science.
Also read- Top 10 Career after online mba
Conclusion
Now that we’ve talked about the field of data science, you can decide on a career path that interests you. Everyone can benefit from getting an MBA in Data Science. Many people are interested in data-driven careers, whether they are interested in technology, business, or solving problems.
Just figure out what you’re good at and what you’re interested in, and then find a job that lets you make a difference.
Don’t forget that the field of data science is always changing. So it’s important to know about the newest technologies and trends. If you understand these terms, you can have a successful and satisfying career in data science.
