Data Science has become a real buzzword in the industry. It has traveled across industries and presented the miracles of Data before us. So, everyone wishes to get trained in Data Science and launch a successful career in the domain. Consequently, Data Science courses are booming. Numerous sessions flood the Internet and provide learners with a unique opportunity to explore Data Science from scratch.

And when it comes to courses, we cannot turn away from the postgraduate degree in Data Science. It has swept over the industries and has become the favorite session for learners, beginners, and professionals. PG in Data Science courses is open for everyone to attend and build their knowledge base. However, the question is, can everyone pursue these courses? If not, who is eligible to register with such degrees?

That’s the scope of this article! Below, you will know the eligibility criteria to enroll in a Data Science PG degree. So, without further ado, let’s learn who can take data analytics courses and get certified!


Key Features of PG in Data Science

The features and skills covered in Data Science PG will help you understand its eligibility criteria. Firstly, let’s get a glimpse of the vital characteristics each post-graduation session offers:

  • Live interaction

The top online PG in Data Science offers live interaction between learners and instructors. It makes the entire session more interactive and encourages the students to clear their doubts as they arise. So, live interaction helps the participants perform better in the industry.

  • Project-based learning

Enrolling in these sessions gives you a unique opportunity to leverage the theoretical concepts in real-life projects. So, you can chisel your practical exposure and become a highly-employable Data Scientist by registering with an online bootcamp.

  • Industry experts as teachers

Learning Data Science from industry experts is an elite experience. So, the top PG courses appoint leaders and experienced professionals as instructors. Often, these experts reveal several aspects of Data Science that low-quality online sessions don’t touch.

  • Career mentorship

A course that teaches Data Science and holds your hands till you get a job is the best. Isn’t it? The leading PG courses in Data Science have a career mentorship program. They will lead you to join premium companies as Data Scientists after finishing the lessons and modules.


Skills Covered in Data Science PG Degree

Now, it’s time to cross the next checkpoint in our journey. The PG degrees in Data Science help you develop multiple skills and showcase them when applying for a job through an industry-recognized certification.

You can build the following skills by enrolling in a PG in Data Science. Have a look!

  • Data Analytics

You can learn all aspects of data analysis by enrolling in these courses. They will familiarize you with numerous tools professionals use to analyze massive datasets.

  • Data Visualization

The insights generated by analyzing data are incomprehensible. Non-professionals and business stakeholders require simpler versions of data interpretation to understand the reports derived. Right here, data visualization comes into the picture. Surprisingly, PG in data science courses helps you explore data visualization to the bottom.

  • Data Cleaning

The raw data gathered from various sources is dirty and unorganized. Professional data scientists use different data cleaning methods to organize the datasets. A data science post-graduation teaches all these techniques to the learners.

  • Data Collection

Identifying various data sources and collecting real-time datasets from them is an art. These online sessions help you learn the craft and master data collection within no time.


Tools You’ll Learn

Apart from building core data science skills, the post-graduation courses help you become familiar with multiple tools and technologies. The top platforms you can master by enrolling in these sessions are:

  • Microsoft Excel
  • NumPy
  • Pandas
  • Power BI
  • Python
  • R
  • SciPy
  • Tableau


Eligibility Criteria – Who Can Get an Admission?

Finally, we have reached our mainframe topic. The online post-graduation courses in Data Science are game-changing. But, who all can get admission? Let’s discuss the eligibility criteria to attend these sessions.

  • Bachelor’s Degree

As the name suggests, it’s a postgraduate degree. So, they demand a bachelor’s degree from the learners. Besides, some courses have at least 50% grading criteria to attend these sessions. It’s better to focus on your graduation and get excellent marks before registering with a Data Science Master’s degree.

  • Tech Background

It’s better to have a technology background to enroll in postgraduate sessions. However, you may or may not have prior coding knowledge. Since you will learn and work with Python and R, some scripting exposure can be helpful.

  • Mathematics and Statistics

Professionals and students from various fields such as computer science, engineering, economics, mathematics, operations research, and research work in the business development industry.

It is not everything required for a professional career in data science. The most important thing is to understand mathematical and statistical principles thoroughly.

  • SQL

One of the most vital tools for learning data science

programming is SQL or structured query language.

Data scientists devote significant effort to writing SQL and the scripts that go with it to gain a firm grasp on the work at hand. You’ll need to be able to create basic SQL, solve SQL queries, and work with groups, joins, and indexes.

  • Business Acumen

With the premise that data science exists to assist organizations in solving problems and identifying problem areas, it would be pointless to have technical expertise in data analysis

but none in commercial acumen.

The term “business acumen” refers to a general understanding of how firms operate. What departments are required, and how much cooperation is needed to build collaboration to finish projects?

  • Management Principles

Working as a data scientist will expect you to collaborate with others, manage deadlines, manage project work, and coordinate with other departments.

With your technological knowledge, not everything is achievable. You’ll need to be familiar with specific business tools and management ideas, such as team management, relationship-building, command, and task division.



Now that you have a clear field-view of the Data Science PG program’s eligibility criteria, it’s time to enroll in these sessions and sharpen your knowledge. Good luck!

By Manali