Pg in Data Science: The road to academic excellence

Scientific advancement has been the key to solving many outstanding problems that have troubled humanity for a long time. From solving complex equations to finding alternate routes while traveling, everything people can think of possesses a visible influence of science and advanced technologies. Corporates and public sectors are applying their expertise and spending their resources to gather useful technologies and competent employees that can improve their present financial condition and earn positive recognition in the market. That is why, it is essential to inherit the knowledge of handling these new advancements to successfully implement them in the pre-existing corporate system.

Post Graduation in Data Science: Tool of Modern Advancement

A pg in Data Science is a 10 to 24-month course program that teaches effective and scientific ways to use unstructured data to solve various issues. The course offers extensive knowledge on the different areas of data science, data accumulation process, analysis process, and data extraction process. Students get to learn to work with industry-specific artificial intelligence models fused with machine learning processes. They learn how to write algorithms for data gathering and segregation as well as maintain huge amounts of data while practicing ways to make sure no data is dumped without proper inspection. 

The post-graduation program offers detailed knowledge on data analysis as well as opens doors to gain additional knowledge from courses on big data, artificial intelligence, and machine learning. A data scientist with additional knowledge in any of the above-mentioned topics can earn top positions within the company and dedicate their knowledge and skills to provide results for their employers. Companies operating in different domains hire data experts to provide a necessary market edge that can help them stay relevant and afloat in these tiring times. A post-graduation degree in data science will help students transform their career paths and embark on a journey of data-driven corporate life.

Necessary Facts

• Admission for PG in Data Science is based on academic performance and merits obtained during graduation.
• The average course fee for post-graduation in data science is between INR 10,000 to 60,000.
• In India, students can earn up to INR 6,50,000 based on their knowledge and skills.
• The course duration varies from 6 to 12 months for online and up to 24 months for offline course structure.
• After graduation, students can opt for dual specialization for their post-grad programs.
• During the training, candidates are taught about the procedures and theories behind it along with hands-on practices.

Importance of Data Science

Pg in data science has proved its importance in multiple sectors, for example, manufacturing, retail, marketing, etc. Every domain public and corporate, requires competent data professionals to help them achieve desired results and improve their operations by a landslide. The salary scale for a data professional is lucrative and has the potential for growth irrespective of domain. Businesses can operate more smoothly and effectively with the inclusion of data science and analytics. Data science is a field of constant development, new methodologies and principles are introduced every other day to increase efficiency and results. The help from data science ensures the upgradation of products and services due to the useful intelligence extracted from industry-specific data. The healthcare and security sector can be redesigned with the intel from data science to maintain the relevance of service and ensure the safety and security of personnel and assets. 

Admission Process

There are different admission processes for pg in data science. Some courses require adequate merit obtained in bachelor’s or master’s degree courses whereas some other data courses require evaluation tests to choose worthy candidates for the course. There is no single way to join the post-graduation program. Some courses even require work experience, and a recommendation letter from concerned authorities to justify their enrolment. Potential candidates who fit the criteria and have a 50 percent number can apply for an interview or go through the standard admission process. Whatever the process, aspirants with a focus on being expert data professionals and problem-solving capability along with sufficient data science knowledge are eligible for the post-graduation degree program in data science.

Eligibility Criteria

The basic eligibility for a pg in data science includes a percentage of 50 in total during a bachelor’s degree program from any recognised university. Management, Computer science, and Engineering degree programs have specialization academic programs in data science. Bachelor’s in computer programming and bachelor’s degree in statistics are eligible courses and have extended knowledge shared with the post-graduation in data science program. Data aspirants can start early and take up relevant subjects and streams to lay the foundation and join the data science post-graduate program to build their career graph strong and profitable. 

Top Recruiters

Data professionals are among the highest-paid employees in the current generation. Every reputed company hires data scientists to help navigate their businesses properly. Companies like Flipkart, JP Morgan Chase, Google, Deloitte, etc. include competent data professionals in their core teams to handle large amounts of data while extracting functional information daily. This information can be utilized in various ways such as for making better manufacturing decisions or designing viewer-specific advertisements. Marketing, Retail, Manufacturing, Finance, Healthcare, IT, Cybersecurity, etc. are some of the well-known industries that have top recruiting percentages. A pg in data science enables students to work in real-world environments freely and with near-perfect accuracy.

Conclusion

The study of science and technology has opened its branches in providing advanced education to young science aspirants. Engineering, management, and computer science graduates can join pg in data science to gain added knowledge that will help them in the future. In 2023, there are numerous employment opportunities for expert data professionals who can exploit skills to improve their earnings as well as provide necessary impact in their specific domains for their clients. These new horizons of employment opportunities have captivated the minds of young students as well as mid-career employees and many of them are switching careers based on their skills and experience.