PGDM In Data Science Eligibility Process

Data science learnings are presently attracting a lot of attention from industry and business executives.

It aspires to develop a cadre of professionals by providing them with a comprehensive approach to problem-solving in a highly dynamic and complicated corporate environment through the use of Artificial Intelligence and cutting-edge Data Science approaches.

Aside from technical abilities, the curriculum provides the installation of value-based managerial skills with a compassionate and pragmatic attitude for successful contribution to society and the business sector.

PG Diploma in Data Science

PG Diploma in Data Science is gaining traction due to its less cost and time-effective method of teaching. Many universities have included the course in their curriculum to benefit students. The course lasts for 9-12 months and gives you hands-on experience in various areas.

The two-year Postgraduate Diploma in Data Science degree program teaches students how to build sound methodological foundations in analytical statistics, perform statistical consultations, and use diverse techniques, skills, and technologies.

To get admission in PGD Data science, you only need a graduation degree in any relevant discipline. Admission is granted based on merit, but some universities look for experience as well as qualifying exam scores such as CAT, MAT, and others.

On average, the fees charged for a PG diploma in Data science ranges from Rs 10,000 to Rs 60,000. It depends on the College you opt for.

Meanwhile, if you go for private institutions, then the fees charged can be as high as Rs 1.5 lac. The money you invest in this course will reap good benefits for you as the average salary you will receive after completing your diploma will range from 3 lac to 6 lac.

A few years ago, UGC allowed students to opt for dual degrees to increase their knowledge and skill set. Some prestigious universities in foreign countries also allow for dual degrees that you can pursue while studying for a PG Diploma in Data Science.

So, which degree should you choose to enhance your skill set? Well, you can go for a dual degree in data analytics, artificial intelligence, and corporate analytics.

Big data, machine learning, or search engine engineering. All of these programs are in sync with your postgraduate diploma in data science and will help you in grabbing a job easily.

Area of Study

This course is designed to teach applicants Data Science methodology and introduce them to data processing, analysis, and interpretation approaches. It is a diploma course that is available both offline and online, depending on the College.


The PGP in Data Science opens up new career opportunities and boosts the résumé of any working professional. Working as a data scientist, data analyst, business consultant, data engineer, or other similar position.

Upon successful completion of this course, a candidate may continue their studies with an MSc in Data Science or Data Analytics. The average annual income for data analysts is five lakhs.

PG Diploma in Data Science: What is it About?

Data science is an interdisciplinary field that uses scientific techniques, processes, algorithms, and methods to extract information and actionable insights from unstructured and structured data and afterward applies that data and real-time insights across a wide variety of application areas.

It is associated with data mining, algorithms, and big data. It makes use of theories and techniques from a wide variety of topics, including maths, analytics, machine learning, information systems, and domain knowledge.

But one should not confuse data science with computer science and information science as there is a wide gap in these fields.

A Postgraduate Diploma in Data Science is a part-time certification course taken by a working professional to improve the skill set of methodologies and tools utilized in a company's analytical and statistical operations.

The Postgraduate Diploma in Data Science is a postgraduate degree program that provides specialized training in Analytical Statistics, which is used in computational and biological sciences. The course's goal is to assist students in building statistical programming skills that will lead to a career in Business.

After completing this course, a candidate not only expands their working resume but also opens doors to positions such as Data Scientist, Business Analyst, Data Analyst, Data Engineer, Data Architect, Data Mining Engineer, Research Analyst, Business Intelligence Analyst, Analytics Manager, and so on.

Why Pursue PG Diploma in Data Science?

Here are some of the reasons why one should pursue a postgraduate diploma in Data Science:

Demand in market

Data Scientist is a career that is gaining popularity owing to the increased want in every field all over the world. According to McKinsey & Company, the US will have 140,000 to 180,000 lesser data scientists than it requires.

There is an unbalanced equation in the demand and supply for data scientists. It is estimated that India would need over 200,000 data scientists compared to engineers and chartered accountants.

With 11.5 million employment predicted to be created by 2026, data science is the fastest-rising profession on Linkedin. As a result, Data Science is a highly desirable job path.

Good salary

According to numerous studies, data science was the highest paying career to enter in 2016. According to Glassdoor, the national average salary for a Data Scientist in India is Rs. 6,50,000 per annum, whereas the national average salary in the US is $1,20,931.

The national average salary for a Data Scientist in Europe is €52,000. Thus, one can assume that Data Science is a lucrative professional path.

Value to the Business

Data scientists are prospering in every area, including information technology, health care, E-commerce, marketing, and retail. Data Scientists play an important role in providing a trusted adviser and strategic partner to the administration since Data is an institution's most valuable asset.

They dig the data for valuable resources that will help them improve their specialty, identify the appropriate target audience, and manage future marketing and development projects.

Evolving Field

Data science is quickly advancing due to the increasing need for data and its computation all over the world. Data scientists possess a diverse set of skills that may be utilized to help companies make informed strategic decisions by harnessing data and information.

They are given intriguing opportunities to engage with and experiment with statistics to generate feasible organizational solutions.

Many new and fascinating topics, such as Big Data, Machine Intelligence, and Deep Learning, as well as some emerging tech such as Cryptocurrency, Cloud Technologies, Virtualized Computing, Virtual Twins, and others, are emerging within the Data Science business.

Data Science is Versatile

Data Science has several uses. It's popular in the medical, finance, consulting, and e-commerce industries. Data Science is a vast field with several applications. As a consequence, anyone who does PG diploma in data science will be able to work in several industries.

Data Science Has The Potential To Save Lives

Data Science has significantly improved the healthcare sector. For example, the application of machine learning has simplified the detection of early-stage tumors. Furthermore, some healthcare organizations utilize Data Science to aid their customers.

Data Science Makes Products Smarter

Data Science comprises the application of Machine Learning, enabling businesses to create better items specifically tailored to user experiences. E-commerce websites, for example, use Recommendation Systems to provide personalized insights to customers based on prior purchases.

As a result, machines can now comprehend human behavior and make data-driven decisions. Data Science has benefited a wide range of enterprises in automating redundant procedures. People's formerly onerous activities have been simplified as a result of this.

Program Objectives

Each program has certain objectives that it tries to fulfill in its course:

  • Familiarize students with the growing significance of data and the insights it provides to policymakers at all levels of companies.
  • Developing the necessary management and analytical skills to work in a variety of data-driven businesses such as E-Commerce, banking and finance, operations, supply chain, and healthcare, among others.
  • Creating a conceptual foundation for analytical models, strategies, and their application in a variety of sectors.
  • Developing hands-on skills using a technologically driven range of integrated tools, analytic toolkits, and platforms.
  • Creating ideal data-driven strategies for organizations or functional areas in an automated way to enhance business operations and deliver insight and creativity.


Candidates meeting the following criteria are eligible for the program: 


  • The candidate must hold a Bachelor's degree with a minimum of 50% in aggregate of all courses taken at any of the Universities incorporated by either an Act of Central or State Legislature in India or other Universities established under the section of Parliament or proclaimed to be deemed as a University under Section 3 of the UGC Act 1956 or possess an equivalent qualification recognized by the UGC. The candidate's Bachelor's degree or comparable qualification must include at least three years of schooling after finishing Higher Secondary Schooling (10+2).
  • Candidates sitting for their final year degree examination in 2022 can also apply, but they must provide proof of graduation and a minimum of 50 percent in the aggregate total of all subjects studied, or their tentative acceptance will be forced to cancel, and no fee will be refunded.
  • An applicant must take the CAT-2021 and XAT-2022 or have a legitimate GMAT score from a test between January 1, 2020, and January 31, 2022.
  • Candidates in their final year of a bachelor's degree/equivalent qualification test are also eligible to apply. Such applicants must, however, produce a certificate from the Principal/Registrar of their University/institution verifying that they have received 50 percent or comparable marks based on the most recent available grades/marks. Every year, the deadline for submitting the mark sheet and certificate is October 15. If this criterion is not met, the provisional admission will be instantly canceled.
  • Applicants should be aware that simply meeting the minimum qualifying requirements will not guarantee selection for shortlisting. Throughout the screening process, applicants must disclose and keep a valid and distinctive email address as well as a phone number.
  • All applicants must take the Common Admission Test (CAT) administered by the IIMs in November/December of each year or the XAT 2022. XLRI administers the XAT Exam every year, or you must have a certified GMAT score.
  • Foreign students, PIO, and NRI-sponsored applicants are also eligible but must sit the Graduate Management Aptitude Test (GMAT) outside of India.
  • All applicants must take the Common Admission Test (CAT) administered by the IIMs in November/December of each year or the XAT 2022. XLRI administers the XAT Exam every year, or you must have a certified GMAT score. Foreign students, PIO, and NRI-sponsored applicants are also eligible but must sit the Graduate Management Aptitude Test (GMAT) outside of India.

Selection Process

Valid CAT/XAT/GMAT scores, past academic performance, job experience, as well as other information supplied in the Application form are used to shortlist candidates. Only shortlisted applicants will be invited to the Discussion, Extempore/Written Analysis Test, and Personal Interview, which are held each year from February to March.

Program Structure

Six trimesters comprise the two-year comprehensive Post Graduate Diploma in Management in Data Science curriculum. During the first year, the emphasis is largely on basic (compulsory) courses to lay the groundwork for specialized study in several disciplines of Machine Intelligence and Data Science.

These fundamental courses assist students in developing sound technical foundations as well as core managerial ideas.

Marketing, OB/HR, Finance, Accounting, Logistics, General Management, and Machine Intelligence and Information Science subjects are covered in the courses. Hands-on instruction on software for implementing the topics taught is heavily emphasized.

Indian citizens who have taken the GMAT must present their GMAT results while applying and must provide an authenticated version of the GMAT chart to the College for verification during the personal interview. GMAT score without the required paperwork will not be accepted, and your application may be denied outright.

Students choose two optional subjects moreover to 11 obligatory courses in their second year. This allows them to continue in-depth studies in their fields of specialty. In addition, AI for Sales, AI for Financial Applications, and Advance AI are available as electives.

Last year, students also completed a Capstone Project under the supervision of a faculty member.

The capstone spans three trimesters and consists of students constructing a portfolio to assist them in undertaking real-life projects for data insights utilizing AI and DS methodologies for management application. Participants must also complete online certifications that yield credit.

Course Structure

This course contains a total of six modules. After completing the first five modules, the students have to do a 120 Hours project using any of the topics studied to earn the PG Diploma.

This course is divided into six units. After finishing the first five modules, students must complete a 120-hour project on any topics covered to receive the PG Diploma.

  • Data Analytics with R
  • Data Storage Technique & Data Warehousing with MySQL
  • Object Oriented Programming: Java & Python
  • Big Data Technology with Hadoop
  • Spark Mini Project (Implementation of Data Analytics)

Syllabus for the Postgraduate Diploma in Data Science

Because Data Science Courses are offered at various levels and in a variety of disciplines, the Postgraduate Diploma in Data Science course syllabus may vary from one College to the next.

  • Data Science Fundamentals and Python Mathematics and Statistics-Data Analysis
  • Data Wrangling in Database Management Systems
  • Data Visualization Statistical Foundations for Data Science
  • Algorithms for Machine Learning Analyzing Exploratory Data
  • Communication in Business Predictive analytics and data mining
  • SQL and Excel Data Analytics SAS Analytics using R and Tableau for Business Clustering Data Structures and Algorithms for Predictive Analytics and Segmentation Artificial Intelligence & Business Acumen
  • Computing in Science Experimentation, Evaluation, and Project Deployment Tools in Information Technology Time Series Model.

PG Diploma in Data Science: Books to Read

The following are some books that should be studied for the Postgraduate Diploma in Data Science course:

  • Python Data Science Handbook by Jake VanderPlas
  • Think Python by Allen B Downey
  • R for Data Science by Garret Grolemund and Hadley Wickham
  • Advanced R by Hadley Wickham
  • Introduction to Statistical Learning by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani
  • The Elements of Statistical Learning by Trevor Hastie, Robert Tibshirani, Jerome Friedman
  • Understanding Machine Learning- From Theory to Algorithms by Shai Shalev-Shwartz and Shai Ben-David
  • Mining of Massive Datasets by Jure Leskovec, Anand Rajaraman, Jeff Ullman
  • Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
  • Bayesian Methods for Hackers by Cam Davidson - Pilon
  • Data Analytics Made Accessible by Anil Maheshwari
  • Discrete Mathematics and its Applications by K. H. Rosen
  • Computer Networking: A Top-Down Approach Featuring the Internet by James F.Kurose and Keith W.Ross
  • Pattern Recognition and Machine Learning by Christopher Bishop
  • Operating System Concepts by Silberschatz, P.B. Galvin and G. Gagne

PG Diploma in Data Science: Job Prospects and Career Options

The Postgraduate Diploma in Data Science is a certification program that assists data science professionals in enhancing their careers and learning new skills. In contrast, some private organizations hire for roles such as Data Analyst, Business Consultant, Data Scientist, Data Specialist, Data Planner, Data Harvesting Engineer, Research Fellow, Business Information Analyst, Insights Manager, and so on.

Top Data Science Recruiters

Data Scientists are the most in-demand trained individuals in today's world, not just in the Information Technology business but also in Banking, Security, Finance, Marketing and Sales, Consumer Products, Electronics, Heavy Industries, and many other industries that require someone to crunch the data.

Companies may use Data Science not only to increase their revenue, expand their client base, provide better customer service, and save money, but companies can also get an advantage over their competitors.

Companies Hiring Data Scientists

  • Google
  • MachinePulse
  • The Smart Cube
  • Fractal
  • Amazon
  • Novartis
  • Fractal Analytics
  • JP Morgan Chase
  • Capital One
  • RBS
  • ICICI Bank
  • Flipkart
  • Kotak Mahindra
  • Accenture Consulting
  • KPMG
  • Yahoo
  • Twitter
  • Tumblr
  • Credence
  • Cartesian Consulting
  • Quantum Analytics
  • Deloitte
  • HSBC
  • Credit Suisse
  • Barclays
  • Axis Bank
  • E-bay
  • Expedia
  • AT Kearney
  • Microsoft
  • LinkedIn
  • Mu Sigma
  • BRIDGEi2i
  • Flytxt
  • Tata iQ
  • Citi Bank
  • Deutsche Bank
  • Nomura
  • HDFC Bank
  • Yes Bank
  • Snapdeal
  • Make My Trip
  • E&Y
  • Walmart Labs
  • Facebook
  • Instagram
  • ZS Associates
  • Brillio
  • Bank of America
  • Mercedes Benz Research and development

Job Profiles For Data Scientists

Data Scientists

Data scientists clean and organize scientific data obtained for a specific reason using programming languages including SAS, R, and Python. They are required for comprehensive research and help app developers generate data definitions for particular data, extract critical data, and establish the blueprint and technique to be used.

Data Architects

Data Architects create the foundation for the industry's next data science initiative. This includes collecting, centralizing, conserving, and safeguarding the source of data from all information management technologies and services used. In a word, they are in charge of making sure that Data is accessible, stable, and secure.

Data Engineer

Based on data architects' designs, data engineers construct methods, prototypes, and conceptual models. Their major responsibility is to provide correct data for analysis to statistics and data analysts.

Data Analyst

A Data Analyst, as the names suggest, is in charge of analyzing supplied data to obtain critical insights for a certain project. The job requires identifying trends and constructing predictive models based on data.

He must also provide data and findings in intelligible formats, including charts, graphs, presentations, dashboards, and so on.


Statisticians collect, analyze, and interpret quantitative analyzed using statistical theories and methodologies. Their job includes developing data gathering tactics and deciding what Data is needed to meet certain difficulties.

Database Administrator

The function of a database administrator (DBA) is to ensure that the database is secure, accessible to all necessary users, and operational at all times. The DBA uses specialized software to store and organize data.

Business Intelligence Analyst

They convert the data set into meaningful information that will assist the organization in becoming more effective and profitable.

PG Diploma in Data Science: Future Scope

A Postgraduate Diploma in Data Science opens up a multitude of professional opportunities. It is advantageous for professionals who want to develop their talents and increase their pay. Here are a few prospective advantages of a Postgraduate Diploma in Data Science:

  • You would be eligible to function as a Data Science, Financial Analyst, Data Analyst, Data Engineer, Data Designer, Information Mining Engineer, Research Fellow, Business Information Analyst, Analytics Manager, and so on after finishing the Postgraduate Diploma in Data Science.
  • It increases the resume's value, which may help a candidate win a career with better opportunities and salary.
  • Any applicant who has completed the Postgraduate Diploma in Data Science may pursue a Master's Degree in Data Analytics or Data Science.
  • The e-commerce industry thrives only due to data scientists that analyze data and produce personalized recommendation groups to deliver good results to end customers.
  • In the transportation business, a data scientist is required to review data provided by passenger counting systems, wealth management, navigation systems, fare collecting, and ticketing.
  • Because the healthcare business creates so much Data regularly, data scientists are in great demand. Any unskilled candidate would be unable to handle a large amount of data. Hospitals must keep track of patients' medical records, bills, personal histories of staff members, and several other facts. In the medical Business, data scientists are engaged in enhancing data quality and safety.

Data science is an evolving field, and even doing a postgraduate diploma will open many doors for you. For example, you can secure a job in health, transportation, or any sector of your choice. Thus, go ahead and grab your degree in the field of data science.

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