Is Data Science a good career choice? The answer to this question is ‘Yes’. As of now, Data Science is one of the most exciting and highly paid career paths in the world. The field of Data Science not only offers high salary pay and the opportunity to work with new ways of thinking, but it also offers students the chance to be a part of a major factor in how industries make decisions based on data. 

LinkedIn, year after year, lists Data Scientist consistently as one of the top emerging jobs, and the U.S. Bureau of Labour Statistics predicts that demand for Data Scientists will grow 35% from 2022 to 2032, which is much faster than the average for all occupations. 

Before addressing the key question—is Data Science a good career path for you?—let us begin with a simple definition. 

What is Data Science in Simple Words? 

Simply put, Data Science is the practice and discipline of converting data into information. Every time you visit a website, shop, categorise or share something on social media, you are generating data.  

But unless they are analysed and interpreted by analysts and Data Scientists, to the typical person, data is not much more than numbers. Analysts and Data Scientists build the plan and provide the expertise to collect, clean and analyse the information. They find data and analyse it to support decision-making for companies and organisations. 

Let’s look at some examples of Data Science use cases: 

• Netflix applies Data Science to recommend what you might want to watch next. 

• Banks use Data Science to detect and prevent fraud. 

• The healthcare system leverages Data Science to predict where and when a disease outbreak could occur. 

So, Data Science is analysing data to determine patterns to solve practical problems. 

Why is Data Science a Good Career in 2025? 

If you are weighing the option of Data Science as a career now and in the future, let us sum it all up in three large points: 

1. Demand: Organisations across every sector – tech, health, finance, e-commerce, sports, etc., are looking for Data Scientists. 
2. Pay: Entry-level Data Scientists in India earn around ₹6-10 LPA and can earn over ₹25 LPA after gaining work experience, and international Data Scientists are compensated even more, especially if they are from Western countries. 
3. A multitude of careers: You can become a data analyst, a machine learning engineer, an AI person, and even shift toward business – once you have data skills, you have choices. 

As Sundar Pichai, the CEO of Google, said, “I think AI and data are the most important things humanity is working on.” Data Science is at the centre of this revolution. 

Does Data Science Require Coding? 

A frequently asked question by students is, “Do I need to code for data science?” The answer is ‘Yes’, but it is not the level of hardcore code slinging as a software engineer. You do not need to be the next software engineer writing thousands of lines of complex code every day, but you do need to know a few programming languages and/or tools. 

Data Science is built on basic coding skills, which allow you to do things such as clean raw data sets, implement algorithms, build models, and visualise results. The two most common languages in Data Science are Python and R, both of which are not only easy to learn but also highly versatile. 

The use of Python is so popular for so many reasons, but primarily, it is a heavily populated library ecosystem, such as Pandas, NumPy, Scikit-learn, TensorFlow, and Matplotlib, that make data analysis, machine learning, and visualisation very easy. In contrast, R is amazing for statistical computing and data visualisation.  

SQL is another very important area of skill, as Data Scientists use SQL to migrate/extract large datasets from databases. Just know the basics of these languages, and you are good to go to start your Data Science career. 

Although coding is only one part of the equation. What matters in Data Science is your ability to think critically, interpret patterns in data, and logically make conclusions. For instance, if you analyse e-commerce consumer purchasing behaviour, it is crucial that you know how to clean the dataset with Python, but the premise of value is your ability to create actionable decisions from those patterns. 

Also Read: Explore Top Data Science and Business Analytics Programmes

Data Science Career Opportunities 

If you’re still doubtful about a career in Data Science, just look at the diverse career opportunities: 

Data Scientist: You will get to build predictive models, dig for hidden patterns, and ultimately help organisations make informed, data-driven choices. These professionals work on cool projects, including fraud detection in banking, predicting diseases in healthcare, or analysing customer behaviour in e-commerce. Data Scientists can take the numbers and make them into a strategy for the future.  

Income range (fresher)*: Rs 2.5 LPA to Rs 4.5 LPA 

Data Analyst: Data analysts focus on raw data and convert that data into useful insight. While data analysts can succeed by designing dashboards, reports, and other data visualisation tools, they can also focus on decision strategies that influence an entire organisation or industry.  

There are plenty of categories of analysts. For example, a marketing analyst will measure a campaign’s success and analysis, while a sports analyst will analyse the individual performances of players and develop predictions for them. These analysts produce amazing results for their companies and the clients they serve. 

Income range (fresher)*: Rs 3 LPA to Rs 7 LPA 

Machine Learning Engineer: Machine Learning Engineers are data experts who design and deploy intelligent algorithms that serve as the backbone for AI applications. These can range from voice assistants like Alexa to self-driving vehicles. 

The reality is that these corporations maintain a responsibility to reduce human impact in the programming and autonomy of intelligent machines. As an ML engineer, you will put both your coding abilities to the test while simultaneously utilising algorithms and math. 

Income range (fresher)*: Rs 3.5 LPA to Rs 7.5 LPA 

Business Intelligence Analyst: A Business Intelligence (BI) Analyst deals with data-driven decision making. BI analysts take data and help make decisions to identify market opportunities, business trends, or performance gaps for organisations. For instance, a BI analyst at a large retail company might scour purchasing data over time and recommend that the organisation roll out new product lines or discontinue stale items. 

Income range (fresher)*: Rs 3.5 LPA to Rs 6 LPA 

Data Engineer: A data engineer is responsible for building and maintaining data architecture. Data engineers must understand massive architectures and infrastructure. A Data Engineer designs the pipelines and the storage and ensures that analytics can smoothly access data as needed. Without data engineers, we could consider the analytics and Data Science community as simply a house of cards; it would collapse. 

*Note: The income mentioned are sourced from various sources on the internet. Hence, they can vary. 

Data Science Courses Offered by K.R. Mangalam University 

K.R. Mangalam University (KRMU) is a good choice for Data Science due to its industry-aligned curriculum, which includes academic partnerships with major tech companies like IBM and Microsoft, and its emphasis on practical, hands-on learning through real-world projects and internships. The university also offers a strong foundation in core subjects and provides 100% placement assistance. 

Here are the highlights of the Data Science courses offered by KRMU:  

1. B.Tech. in Computer Science and Engineering (Data Science)

• Duration: 4 Years 

• Annual Fees: ₹2,50,000 (as of August 28, 2025) 

• Academic Support: IBM 

• Why Choose This? Perfect for students who want a strong engineering foundation with a focus on data science. Graduates often become software engineers, AI developers, or research analysts. 

2. BCA in AI & Data Science

• Duration: 3 Years 

• Annual Fees: ₹1,65,000 (as of August 28, 2025) 

• Academic Support: IBM & powered by Microsoft Certifications 

• Why Choose This? Ideal for students who want a quick entry into the Data Science career path with certifications that boost employability worldwide. 

3. BCA (Hons./ Hons. with Research) in AI & Data Science

• Duration: 4 Years 

• Annual Fees: ₹1,65,000 (as of August 28, 2025) 

• Academic Support: IBM & powered by Microsoft Certifications 

• Why Choose This? Great for students who want to combine practical learning with research opportunities, paving the way for higher studies (like M.Tech. or Ph.D.) or international careers. 

4. B.Sc. (Hons.) in Data Science

• Duration: 3 Years 

• Annual Fees: ₹1,35,000 (as of August 28, 2025) 

• Why Choose This? Tailored for students who love mathematics, statistics, and logical reasoning. This programme dives deep into analytics, machine learning, and big data. 

Why Choose KRMU to Pursue Data Science Programmes? 

For students in India (and especially surrounding areas like Delhi NCR, Haryana, and Gurgaon), K.R. Mangalam University features some of the most innovative Data Science programmes out there. The unique part is that KRMU has amazing industry-aligned programmes, opened within the last couple of years, with modern labs, and a partnership with global tech organisations (IBM and Microsoft). 

The Data Science career path offered by KRMU is systematic, and at the end, a student (and in this case, an academic and industry-ready student) will have: 

• Foundation (Year 1): Understanding of the basics of computer science, statistics, and Python. 

• Intermediate (Year 2): understanding of databases, basics of machine learning, and more on visualisation tools. 

• Advanced (Years 3 and 4): Working on research and real-world projects through the use of either IBM or Microsoft, and internships. 

At the end of your programme, you have both academic learning and real-world experience—and that is a wonderful outcome for anybody entering this field. 

Skills Needed for a Successful Data Science Career 

It is essential to note that although coding has its place, the best Data Scientists possess a mix of skills, which includes: 

• Analytical skills 

• Problem-solving skills 

• Understanding of statistics 

• Experience with tools like Python, R, SQL, and Tableau 

• Communication skills (to convey your findings) 

KRMU’s programmes measure all the aforementioned skills. Students are trained to be more than just coders; they process data to apply knowledge and develop solutions. 

Final Thoughts 

So, is Data Science a great career choice? Absolutely—without a doubt ‘Yes’. It’s a rare blend of creativity, logic, and global opportunity. With its highly transferable skills, you could land a role at Google, design AI solutions for healthcare, or even build your own startup. Data Science isn’t just a profession—it’s a gateway to innovation, impact, and limitless possibilities. The future truly looks bright. 

K.R. Mangalam University’s Data Science students don’t just study data science, they live it! With access to the latest IBM and Microsoft licenses, cutting-edge labs, and real-time industry projects, KRMU ensures students gain hands-on experience that goes beyond textbooks. This immersive approach equips them with the skills and confidence to excel in one of the fastest growing and most dynamic fields of the 21st century. 

Your Data Science career path starts right now! Are you ready to take the first step? 

Also Read: Best Data Science Course After 12th in India