Who Can do PG in Data Science? Eligibility, Fees, Syllabus, Job Prospects

09-Feb-2022

Data science has become the "It" thing in the current century. According to the Bureau of Labor Statistics US, the growing demand for Data Science will result in 11.5 million job vacancies by 2026. 

According to the World Economic Forum, the career of a data scientist is projected to see an increasing trend across the globe by 2022. It is no doubt going to be one of the most sought-after professions in the coming years as the utility of the field broadens. 

As the rise indicates, India is considered the second most important hub for Data Science breakthroughs after the United States. Data Science is a highly marketable and enticing profession, according to current industry job trends. As a result of the increased demand, the number of Data Science course training institutes has increased dramatically.

Data Science is a field that combines multiple other disciplines, as well as scientific methodologies, procedures, algorithms, and systems, to generate knowledge and insights from various types of data. It's comparable to data mining in that it can be structured or unstructured.

As the surge for data science professionals grow and there are many young upcoming aspirants, it is only natural that they should have the curiosity of the pros and cons and the requirements of taking up a data sceince professional training such as PG in data science.

Eligibility for a PG in Data Science

Any individual who is enthusiastic about learning Data Science, whether a novice straight out of college/higher secondary level or a seasoned practitioner, can enroll in any of the data science courses congruent to their level. Part-time or external Data Science programs are available for engineers, marketing specialists, software developers, and IT professionals. Conventional data science courses and programs mandate higher secondary school level studies minimally.

PG in data sceince course is considered one of the most difficult in the technical category. Despite this, the number of students enrolling in data science programs is steadily rising. For any individual aspiring to take up a PG in data science course, it is critical that they fulfill certain requirements. Let us check out what are the eligibility criteria for a PG in data science course.

What Are the Requirements for a PG in Data Science? 

Because the world of data science relies on data interpretation, one must meet the following requirements: 

• Computer science, Statistics, Mathematics, economics, or any other relevant discipline in a bachelor's degree. 

• The needed proportion of marks is 50%. 

• Passing entrance tests such as the CAT, GRE, and GMAT 

• While some colleges prioritize job experience, others do not place a high value on it.

Fee Structure for PG in Data science

Prospective students for PG in data sceince must know that the course fee structure differs from the institute, location, and mode of training. A PG in data science in a conventional university will take more time and may cost higher in a private university. The average fees for a PG in data sceince may range from INR 30,000 to 20 Lakhs. 

What is the Syllabus for PG in a Data Science Program?

While each institute has its own course structure and program plans, the overall content ideally covers the following skills:

• Mathematics - This discipline is at the heart of machine learning, data science, and data analysis, as the model is constructed by analyzing data generated by mathematical algorithms. Mathematical topics include arithmetic, algebra, calculus, differentiation, probability, statistics, geometry, and related disciplines.

• Statistics - Statistical ideas will assist you in comprehending data, analyzing it, and drawing conclusions from it.

• Data Visualization — Using R and Tableau, you can access, retrieve, visualize and display data.

• Exploratory Data Analysis - Use Excel and databases to extract relevant insights from a large amount of data and to learn about the features and properties of the data.

• Hypothesis Testing — Develop and test hypotheses that are utilized to solve real-world business challenges in case studies.

• Programming Languages — While knowledge of programming languages is not required for enrollment to DS courses, it is helpful.

Job Prospects after A PG in Data Science

Data Science is among today's most lucrative job alternatives, with numerous opportunities and a high pay scale. Data scientists are in high demand from both corporate and public sector organizations. Some of the places where professionals can venture into are Amazon, IBM, Citrix, Sigmoid, Cisco, and many others.

Below are the positions that an individual can become after a PG in Data Science:

• Data Scientist

• Data Engineer.

• Business Analyst

• Data Architect

• Infrastructure Architect.

• Applications Architect.

• Data Administrator

• Machine Learning Engineer.

• Business Intelligence Manager

• Data Mining Engineer

• Research Analyst

• Statistician

This is the opportune time for aspiring students to pick on the best Data Science course for them. Examine your abilities and choose the courses that are most appropriate for you.

Related Blog Posts:

• How to Get a Government Job as a Data Scientist?
• How to Get Data Science Training and Internship?
• How You Can Learn Data Science for Free in 2022?
• Can You Become a Data Scientist Without any Experience?
• Top 80 Data Science Interview Questions & Answers

pg in data science pg in data science eligibility pg in data science syllabus