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Switch from HR to Data Science with Online Degree Programs

vaishnavi Oct 1, 2025 1K Reads

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Are you also stuck in your current job? As we all know, that HR job is like a calling job, as an HR professional, you have to call the candidate for interviews, interact with the company, and also have to manage everything in the office. In starting this job looks interesting, but slowly this becomes a hectic and headache job in some months while working. 

Data science has been an attractive career choice for every professional as it is enhancing the future and giving good scope for the best job role. As today, every company hires candidates that has good skills and know the trends, data science professionals are becoming the most highly package jobs with a good future scope. In this blog, we will explore and learn about the importance of completing a degree in data science and how an online degree can help you in this. 

Why are HR Not In Trend Today? 

Human Resources(HR) was known as the backbone of the company, as everything is handled by them. All the things have been provided by HR only but now HR's role is limited, and the salary is also not high. Here are some points that can show you why an HR job is not in trend: 

  • Limited Growth Opportunities: Many people feel and think that working in HR means a high package with good knowledge, but many boundaries are there in that, with less career growth and opportunities, and no career growth and a hectic schedule.
  • Automation Taking Over Routine Tasks: Many HR tasks are fixed that as an HRyou have to complete like interviews, managing employee records, and many more tasks. But today everything is kept in a laptop, so some companies think that HR should be in the office.
  • Not Seen as Strategic: Some MNCs think that HR work is easy, and they don't see it as the backbone of the company, but rather then like support team that is leading the company, and this makes them less important in the company. 

  • Changes in Work Style: With many responsibilities, an HR job is to build the company culture and keep everything perfect for all the employees, and this type of work makes the job more complicated, and after some time, they get bored with the job.
  • Need to Adapt Fast: HR jobs need new research that can be helpful for the company, but not every HR professional can keep the trends due to the many responsibilities of the company, and this leaves them behind.

HR jobs are still in trend, but every company is changing the trend and growing with the changes. But if you are an HR, you have to manage everything without thinking of anything but apart from that, you have to keep up with the trend so that the companies don't take your job role easily. 

Why Is Everyone Switching Towards Data Science?

In recent reports, every month, 99% people are shifting from their profession to data science. But a question might come to your mind, why? So here are some points that can help to know the answer.

  1. High Demand for Data Scientists

One of the primary reasons so many individuals are making the transition to data science is that there's a high demand for data scientists. Most firms today gather vast amounts of data, but they need professionals to interpret it. Data scientists assist firms to learn from this data and improve their decision-making. This has opened a large demand for qualified individuals in this area, and thus, data science is a viable career choice.

  1. Compelling Salaries

Secondly, there is a high potential for salaries. Data science ranks among the best-paying jobs in the job market. With businesses increasingly depending on data to make decisions, individuals who can interpret and analyze that data are getting highly valued. This financial compensator is a major magnet for individuals thinking of making the career shift.

  1. Technological Advancements and Data

Technology is advancing at a very fast rate in the modern world. Almost every sector, including healthcare, entertainment, and finance, is utilizing data in one way or another. Everyone has access to smartphones and computers, and data science jobs are in demand due to technological growth. And this can help to get a good job. 

  1. Data Science is in trend 

Like every other job, data science is also trending and suitable in every field. Whether it is marketing, sports, education, or healthcare, data science is needed everywhere and is becoming a part. People are also switching towards it due to the wide job options, no matter which industry they want to switch to. 

  1. The Thrill of Problem-Solving

Data science is not simply about numbers on a screen. It's problem-solving in the real world. Data scientists, for instance, can assist hospitals in determining how to make people better, or data scientists can assist businesses in being able to predict which products are going to sell. 

Today, everyone is going towards data science because of its high demand in the market, as it offers high pay, career growth, and a secure future. So why wait or sit and think about your future? Enroll today and get benefits tomorrow. 

How Online Programs Make the Shift from HR to Data Science Possible

Shifting from HR too data science can be the toughest work, but not impossible, and here online degree can help you a lot to switch your career without any complications, which can help you to work on your skills without comparison. Here are some of the online degrees: 

Online PG Diploma in Data Science: 

An Online Postgraduate (PG) Diploma in Data Science is a program meant for individuals who desire to know more about data science without stopping working. Being an online program, you can study wherever and whenever you are, which is excellent for working professionals.

Data science is a combination of statistical, computer science, and mathematical skills. It helps in understanding data and trend subjects. Companies are working on the training part, as according to them, providing them with training can help in getting in touch with the market trends and also company welfare, which can contribute to growth. 

  1. Educational Qualification:
    • Graduation: A bachelor's degree in any field, like engineering, computer science, or any other field.
    • Work Experience: 1 year of work experience is required for those who want to switch from their current role to the data science field.
    • Postgraduate Candidates: Master’s degrees like MSc, MCA, etc, are also acceptable.
  2. Minimum Marks: 50% marks are required for eligibility.

Course Duration:

This diploma course is 12 to 15 months, and all the universities you are choosing online provide flexible learning, allowing students there job and study both. 

Why Pursue an Online PG Diploma in Data Science?

  • Work Study Balance: Continue working while upgrading your skills.
  • Cheap: Usually more cost-effective than on-campus programs due to the absence of infrastructure costs.
  • Industrial skills: Learn equipment and techniques used by computer scientists and analysts in industries.
  • Global reach: Access a diverse and international colleague group.

Career Opportunities:

Completing an online PG diploma in computer science can open doors for different high-level roles:

  • Data researcher - average salary: and 7.00,000 per year
  • Data Analyst - Average Salary: 6.20,000 per year
  • Machine Learning Engineer - Average Salary: 5.50,000 per year
  • Trade Analyst - Average Salary: 4.90,000 per year
  • Computer Engineer - Average Salary, 7.20,000 per year

How to fill the forms: 

  1. Online Registration: Visit the official website of the online university.
  2. Fill the application: Fill in the application form with important details.
  3. Documents: Upload education tape, work experience details, and other requested documents.
  4. Payment: Submit the program fee (or apply for EMI).
  5. Confirmation: After processing your application, you will receive a confirmed email.

Online M.Sc. in Data Science

An online M.Sc. in Data Science is a 2-year postgraduate program that helps you gain knowledge about data science, which can give the new opportunities without any barriers. 

This course helps you transform your raw data into actionable insights that can help the company improve its decisions and also achieve growth. 

Qualifying criteria

  • To register for an M.Sc. In the Data Science program, you need:
  • Bachelor's degree in the relevant field, such as informatics, mathematics, statistics, or engineering.
  • Minimum 50% marks in the exam.
  • Some universities require a mathematics or statistical background in 10+2 or doctoral studies.
  • Basic programming knowledge is an extra advantage.

Duration of the course

  • The duration of the course is usually 2 years, divided into 4 semesters.
  • Some online and part-time programs can offer flexible full deadlines between 2 and 4 years.

Way of learning

Online MSC is available in science in data:

  • Online mode (ideal for working professionals)
  • Regular mode on campus
  • Online mode
  • Each mode provides flexibility in learning while maintaining an industry-relevant course.
  • Check the qualification - Graduate with 50% (some work experience required)

How to fill the forms: 

  • Fill in the application form online on the official site. 
  • Upload documents - ID Proof, Marksheet, Photo, etc.
  • Pay Registration Fee (if applicable)
  • Screening/Interview - Someone can do a small exam or call.
  • Confirmation of entry via e-post
  • Choose the payment course fee / EMI scheme.
  • Start learning - accessing classrooms and course materials.

MSc after career opportunities in computer science

  • After completing this course, you can apply for jobs in many industries such as IT, health care, finance, e-commerce, and more.

Job roles include:

  • Data researcher: 5 to 10LPA per annum 
  • Data Analyst: 5 to 10 LPA per annum  
  • Machine Learning Engineer: 5 to 10 LPA per annum 
  • Computer Engineer: 5 to 10 LPA per annum 
  • Trade Analyst:  5 to 10 LPA per annum 
  • AI Expert: 5 to 10 LPA per annum 

Data Science Vs HR: What's The Difference?

Data Science

What it is: This field helps you to know about the uses of correct data, math, and coding so that you can solve problems without mistakes.
Main goal: Help the companies to make a better scope and growth of the company.
Tasks include:

  • Analyze data
  • Building a Machine Learning Model
  • Predictions (eg, future sales, customer behavior)
  • Automated procedure

Human Resources (HR)

What it is: A good department that helps manage the department.
Main goal: Take care of employees so that they can help grow the company through good hiring and management.
Tasks include:

  • Employee profits and wage management
  • Operating training and development
  • Solve problems in the workplace

Key Differences:

Feature

Data Science

Human Resources (HR)

Focus

Data, technology, prediction

People, hiring, employee care

Skills Needed

Math, coding, statistics

Communication, organization

Tools Used

Python, SQL, Excel, AI tools

HR software, spreadsheets

Goal

Use data to solve problems

Manage and support employees

From People To Data: Online Programs That Make The Switch Possible

Switching from HR to Data science may sometimes become difficult, but with the help of online degree programs, you can change your field. But data science is the best high-demand field that can be the right path for you. The main question is how? The simple answer is with skills and computer knowledge, with a good package. 

Why Make the Switch?

But over the years, the HR job has become more practical as the company uses the technical track to evaluate employee performance to improve hiring and understand employee problems. HR professionals now use data to track, hire, and understand the trends in the workplace. If you like working with numbers, analyzing trends, or using devices such as Excel or HR software, you already have a good starting point for computer science.

Today, Data science is one of the fastest-growing areas. This involves finding useful patterns, working with data to solve problems, and providing predictions. From the health care system to finance to technology companies, data researchers are needed in many industries. With the right skill, you can go to a high deviation and a future-proof career in HR.

Skills You’ll Need

You’ll need to learn a few key skills:

  • Basic Math and Statistics: You don't need to be a maths expert, but you should have a basic knowledge of maths and statistics.
  • Programming: Learning languages like Python or R will help you analyze and visualize data.
  • Data Tools: Tools like SQL, Excel, and Power BI help you work with and understand data.
  • Problem-Solving: You’ll often be asked to find solutions using data.

Conclusion

Transitioning from HR to Data Science might sound difficult, but you can get the best future scope in this field with the help of an online degree without leaving your current job. So why wait or be stuck in the same job? Enroll today and get the benefit tomorrow. 

Online PG diplomas or M.Sc. in data science enable you to study at your own convenience while being employed. With the help of an online degree, you can gain the practical knowledge that can help in securing a high position with a high package in the industry. Hence, this is the right time to take the hard decision that can help you a lot to transfer your career from HR to Data Science. 

FAQs (Frequently Asked Questions)

Yes, there are many online courses that are for beginners and do not require a tech background. If you're familiar with tools like Excel and enjoy learning about data, then you're well on your way.

No, you can begin with a graduation degree in any stream. Most online PG diplomas or M.Sc. courses are open to candidates from non-tech streams and help them develop data science skills from ground zero.

With focused learning, you can switch in 12 to 24 months. Online PG diplomas typically take 12–15 months, but an online M.Sc. can take 2 years.

Important skills are:

  • Basic statistics and mathematics
  • Programming (Python or R)
  • Data visualization tools ( Power BI, Excel)
  • SQL and databases
  • Machine learning (advanced level)

Yes, Top universities or industry partners of most of the well-known online programs provide certifications (such as Google, IBM, or accredited universities), which are recognized by companies worldwide.

Yes, Online programs are designed for professionals. They have flexible timings, video-recorded classes, and weekend assistance to cater to your work-life requirements.

Some of the common job titles include:

  • Data Analyst
  • Data Scientist
  • Machine Learning Engineer
  • Business Analyst
  • AI Specialist
  • Data Engineer

Salaries depend on experience and location, but on average:

  • Fresh Data Analyst: ₹5–7 LPA
  • Data Scientist: ₹8–12 LPA
  • ML Engineer / AI Specialist: ₹10+ LPA
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By vaishnavi

3 Years of experience/ academic writer/ freelance writer

An academic writing expert and a freelancer with an experience of 3 years.

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