In a world full of engineers and MBAs, data scientists have set the new trend in the market. They are being treated like celebrities in the job market and are thought of as having out-of-the-world skillsets, which makes them reach that position. But in reality, there is nothing special about them; these are the people who took the right decision at the right time! 

Data science is like any other field that makes professionals use data insights wisely for their business objectives. Since it is more on the technical edge, it is best to opt for this specialization in the online MCA courses. As online programs offer flexibility, they provide you with the best choice to upgrade your knowledge without giving up on your current responsibilities. 

Why an Online MCA in Data Science?

Well, the choice of not pausing your career for an additional qualification is the answer to “why an online MCA in data science.” This program not only equips you with the relevant knowledge in the field, be it theoretical or technical, but also provides you with the opportunities to practice them in the field by allowing you to continue your job. If you are a fresh graduate with an online MCA data science course, you will have the space to join an internship or a full-time job along with it.

Moreover, considering the hectic schedules of working professionals and homemakers, it is the best choice to upgrade your qualification. Furthermore, the struggle of those who could not make it to a regular college for their MCA degree can be addressed through this online data science major.

Industries with High Demand for Online MCA in Data Science Graduates

Multiple industry sectors are actively hiring data science professionals for the fast-paced growth of their businesses. This has also been confirmed in a report by Analytics Insight 2025 that projects the growth for data scientists in different industries in the upcoming years. 

• Healthcare and Pharmaceuticals – Over 20% projected growth in data science roles

• Finance and Banking – Approximately 18% growth expected

• Telecommunications – Around 15% growth projected

• Retail and E-Commerce – Over 25% growth, one of the fastest-growing sectors

• Energy and Utilities – Expected growth of 17%

• Manufacturing and Industrial Automation – About 22% growth in data science roles

• Government and Public Services – Projected growth of 13%

• Media and Entertainment – Around 15% growth anticipated

• Education and EdTech – Around 10% growth in data science opportunities

• Agriculture and Food Technology – Approximately 12% growth forecast

Job Roles and Salary Expectations After an Online MCA in Data Science Course

After completing this online data science course as a PG degree, you will be able to apply for managerial positions in your own or any other firm. Some of the renowned job roles that you can access as a data science professional are listed below, with the average salary range.

Data Analyst

• Average Fresher Salary per Annum (INR): ₹3–5 LPA

• Average Experienced Salary per Annum (INR): ₹6–7 LPA

• Tools Used: Tableau, Power BI, and Excel to create reports, dashboards, and data visualizations

• Demanded by Industry: Banking, Telecommunications, Retail, Education

Data Scientist

• Average Fresher Salary per Annum (INR): ₹6–9 LPA

• Average Experienced Salary per Annum (INR): ₹10–15 LPA

• Tools Used: Statistical methods, machine learning models, and programming languages (such as Python, R, or SQL) 

• Demanded by Industry: Technology, Finance, Healthcare, Retail, Government

Business Analyst

• Average Fresher Salary per Annum (INR): ₹4–6 LPA

• Average Experienced Salary per Annum (INR): ₹7–8 LPA

• Tools Used: SQL, data warehousing solutions, and visualization tools

• Demanded by Industry: Corporate Enterprises, Supply Chain Management, Consulting

Machine Learning Engineer

• Average Fresher Salary per Annum (INR): ₹7–10 LPA

• Average Experienced Salary per Annum (INR): ₹12–18 LPA

• Tools Used: Neural networks, cloud computing platforms, and deep learning frameworks (like TensorFlow and PyTorch)

• Demanded by Industry: Fintech, AI Research, Automotive (Self-driving technology), Healthcare

Data Engineer

• Average Fresher Salary per Annum (INR): ₹6–9 LPA

• Average Experienced Salary per Annum (INR): ₹12–15 LPA

• Tools Used: AWS (S3, EMR, Glue), Azure, MySQL, MongoDB, Tableau, Power BI, programming languages (such as Python, R, or SQL)

• Demanded by Industry: IT Services, Software Development, Cloud Solutions

Big Data Engineer

• Average Fresher Salary per Annum (INR): ₹8–12 LPA

• Average Experienced Salary per Annum (INR): ₹15–20 LPA

• Tools Used: Hadoop, Spark, and Kafka

• Demanded by Industry: E-commerce, Marketing Analytics, Cloud Computing, Finance

Data Architect

• Average Fresher Salary per Annum (INR): ₹9–11 LPA

• Average Experienced Salary per Annum (INR): ₹13–16 LPA

• Tools Used: MySQL, PostgreSQL, Hadoop, Spark, Snowflake, Tableau, Power BI

• Demanded by Industry: Banking, Healthcare, Cybersecurity, Enterprise IT

Data Visualization Analyst

• Average Fresher Salary per Annum (INR): ₹4–6 LPA

• Average Experienced Salary per Annum (INR): ₹7–8 LPA

• Tools Used: SQL, Excel, Power BI, Looker, programming languages (such as Python, R, or SQL)

• Demanded by Industry: Marketing, Corporate Strategy, Journalism

If these job profiles attract you, you can add them to your resume after getting an online MCA in data science course. For that, you need to choose an accredited university that will make your online degree equivalent to a regular degree. In this situation, platforms like College Vidya would be of great help to you! They not only save you from online university scams but also guide you to choose the one that will give you the best results for your career.