A PGDM in Data Science is a sought-after program combining analytics expertise with essential management skills. This blog covers everything you need to know, from eligibility criteria, top colleges, and syllabus to career opportunities in data science. It also explores the differences between a PGDM and a PGD in Data Science.
Let’s see how a PGDM in Data Science can enhance your professional journey!
PGDM in Data Science: Highlights
Let’s start with a quick summary of the PGDM in Data Science program:
|
Aspect |
Highlights |
|
Duration |
Typically 1.5 to 2 years |
|
Core Subjects |
Data Science, Machine Learning, Big Data Analytics, Marketing Analytics, Financial Analysis, and Strategic Management |
|
Eligibility Criteria |
Bachelor’s degree (preferably in science, engineering, or business) and a valid score in entrance exams like CAT, XAT, GMAT, or GRE. |
|
Top Institutions |
Great Lakes Institute, NMIMS, INSOFE, SCIT, and others in India. |
|
Career Opportunities |
Data Scientist, Business Intelligence Analyst, Machine Learning Engineer, Data Engineer, and AI Product Manager. |
|
Average Salary (INR) |
INR 10,00,000 to 18,00,000 per annum, depending on experience and role. |
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Eligibility for PGDM in Data Science
Here are the eligibility criteria students need to fulfil to pursue a PGDM in Data Science:
|
Eligibility Criteria |
Description |
|
Educational Qualification |
A Bachelor’s degree in any discipline, with a minimum of 50% marks in undergraduate studies, is required. |
|
Entrance Exams |
Candidates may need to qualify in national or institute-specific entrance exams like CAT, MAT, XAT, CMAT, GMAT, or GRE. Some universities also accept their entrance tests. |
|
Work Experience |
While not mandatory for all institutions, 1-2 years of work experience in a relevant field (analytics, IT, or business) may be preferred. |
|
Age Limit |
There is no strict age limit, although some institutions may have an upper age cap, usually around 30 years, for specific categories. |
While we are at it, if you are genuinely interested in a PG in Data Science and want to aim for relevant management roles in the same field, it is worth your time to explore other courses, such as an MBA in Data Science and a PGDM in Business Analytics. We have covered both of these courses in detail. Check them out!
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Entrance Exams for PGDM in Data Science
To get into the top PGDM colleges in India, you need to qualify for the entrance exam that the college accepts. Most PGDM in Data Science Colleges in India accept the following test scores:
|
Exam Name |
Tentative Date |
Description |
|
24 Nov 2024 |
A national-level management entrance exam conducted by the Indian Institutes of Management (IIMs) assesses quantitative ability, verbal ability, data interpretation, and logical reasoning. |
|
|
5 January 2025 |
Administered by XLRI Jamshedpur, XAT assesses decision-making, verbal and logical ability, quantitative ability, and general knowledge. |
|
|
May 2025 |
Conducted by the National Testing Agency (NTA), CMAT evaluates quantitative techniques, logical reasoning, language comprehension, and general awareness. |
|
|
Available year-round |
Many Indian and global institutions accept an international exam assessing analytical writing, integrated reasoning, quantitative, and verbal skills. |
|
|
Graduate Record Examination (GRE) |
Available year-round |
An international test measuring verbal reasoning, quantitative reasoning, and analytical writing, accepted by select management programs. |
|
December 2024 |
Conducted by Symbiosis International University, SNAP evaluates general English, quantitative data interpretation, data sufficiency, and analytical and logical reasoning. |
|
|
October to December |
Administered by the Graduate Management Admission Council (GMAC), NMAT assesses language skills, quantitative skills, and logical reasoning. |
Please note that these dates are tentative and may vary each year.
Colleges for PGDM in Data Science
All of these colleges provide an exclusive executive PGDM in Data Science programs or flagship certificate courses in Data Science:
|
College Name |
Location |
Approximate Total Fees (INR) |
|
Chennai, Tamil Nadu |
11,76,000 |
|
|
Hyderabad, Telangana |
24,82,000 |
|
|
Mumbai, Maharashtra |
12,00,000 |
|
|
Indian Institute of Management (IIM) Bangalore |
Bangalore, Karnataka |
23,00,000 |
|
Chennai, Tamil Nadu |
17,00,000 |
|
|
Pune, Maharashtra |
10,00,000 |
|
|
New Delhi, Delhi |
19,25,000 |
|
|
Ghaziabad, Uttar Pradesh |
19,53,000 |
|
|
Mumbai, Maharashtra |
18,78,000 |
Looking for the best colleges for your course might seem overwhelming.
If you are trying to find the best PGDM Colleges in India, check out our list of colleges. We also discuss the fees, entrance exams they accept, and placement statistics.
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PGDM in Data Science: Syllabus
Please note that actual subjects may vary slightly based on the institution.
|
Trimester |
Subjects/Certifications |
|
Trimester 1 |
- Managerial Economics - Financial Accounting - Marketing Management I - Principles of Management - Organisational Behaviour I - Business Law - Innovation & Design Thinking - Business Communication |
|
Trimester 2 |
- Macro Economics - Corporate Finance - Entrepreneurship - Marketing Management II - Statistics for Managers - Organisational Behaviour II - Research Methods - Advanced Excel - Power Skills |
|
Trimester 3 |
- Human Resources Management - Strategic Management - Project Management - Python Fundamentals - Python for Data Analytics - Operations Research - Microsoft Certification DP-900 - Business Environment - Research Paper |
|
Trimester 4 |
- Disaster Management & Sustainability - Essentials of Linear Algebra, Statistics, and Probability - Machine Learning I - PowerBI Essentials - Designing and Implementing Data Science Solutions on Azure DP-100 - Basics of Language R - Database Using SQL - Internship |
|
Trimester 5 |
- Business Ethics & Corporate Governance - Basics of Artificial Neural Networks - Deep Neural Networks - Machine Learning II - Introduction to Reinforcement Learning and Time Series Forecasting - Basics of Natural Language Processing - Designing and Implementing AI Solutions on Azure AI-102 |
|
Trimester 6 |
- Project and Dissertation |
Note: Please note that actual subjects may vary slightly based on the institution. The syllabus can vary widely depending on the institution, so it’s always beneficial to consult the specific program’s curriculum.
If you are interested in a PGDM course, why not explore the course in depth? A PGDM course offers many more specialisations other than data science. Get to know much more about the PGDM Course, including top colleges, specialisations, and syllabus.
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PGDM in Data Science Job Prospects
Here’s a table of potential job roles after completing a PGDM in Data Science, along with job descriptions and average salaries:
|
Job Role |
Description |
Average Salary (INR per annum) |
|
Data Scientist |
Analyses and interprets complex data to help businesses make informed decisions. They also Develop predictive models and data-driven strategies. |
10,00,000 |
|
Data Analyst |
Gathers, processes, and performs statistical analyses on data to identify trends and patterns. Also responsible for Presenting insights to stakeholders. |
4,00,000 |
|
Machine Learning Engineer |
Designs and implements machine learning learning models and algorithms to solve business challenges while working with AI-based technologies. |
8,00,000 |
|
Business Intelligence (BI) Analyst |
Uses data visualisation tools to translate data into actionable business insights, focusing on performance and market trends. |
5,00,000 |
|
Data Engineer |
Builds, optimises, and maintains data architectures and pipelines for data collection and processing. |
6,00,000 |
|
Big Data Engineer |
Manages and analyses large sets of structured and unstructured data, often using Hadoop, Spark, and similar technologies. |
8,00,000 |
|
AI/ML Product Manager |
Oversees AI/ML project lifecycle, working with cross-functional teams to develop and deploy AI-driven solutions. |
12,00,000 |
|
Data Architect |
Designs and manages an organisation’s data infrastructure, focusing on data integration, security, and efficiency. |
15,00,000 |
|
Quantitative Analyst |
Uses mathematical models to analyse financial data, predict market trends, and aid in investment decisions, primarily in finance. |
10,00,000 |
|
Analytics Consultant |
Provides expertise and strategic advice on data-driven projects, helping businesses optimise their data analytics approaches. |
10,00,000 |
Note: Salaries may vary based on location, company, experience, and specific industry.
PGDDS: PGD in Data Science
A Post Graduate Diploma in Data Science (PGDDS) is a specialised program designed to equip students and professionals with essential skills in data science, including data analysis, machine learning, statistical modelling, and big data management. Typically spanning one year, the program covers both foundational and advanced aspects of data science, blending technical knowledge with practical applications to meet industry demands.
In the next section, we will look at the differences between a PGD and a PGDM in data science.
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PGDM VS PGD in Data Science
|
Criteria |
PGDM in Data Science |
PGD in Data Science |
|
Program Duration |
Typically 1.5 to 2 years |
Generally 1 year |
|
Curriculum Focus |
Combines data science with management, covering business analytics, managerial concepts, and leadership skills. |
Primarily technical, focused on data science fundamentals and practical applications. |
|
Core Subjects |
Business Analytics, Machine Learning, Big Data, Managerial Economics, Financial Management, Marketing Management |
Data Science, Statistics, Data Mining, Machine Learning, Data Visualisation, Big Data Technologies |
|
Eligibility |
Bachelor’s degree in any discipline, with a preference for those with backgrounds in engineering, computer science, economics, or business. Entrance exams (CAT, MAT, XAT, etc.) may be required. |
Bachelor’s degree, preferably in science, engineering, or IT fields. Some programs may require basic programming or data analysis knowledge. |
|
Career Opportunities |
Data Scientist, Business Analyst, BI Consultant, Machine Learning Engineer, AI Product Manager, Analytics Manager |
Data Scientist, Data Analyst, Machine Learning Engineer, Big Data Engineer, Data Engineer |
|
Industry Relevance |
Suitable for roles where data science is applied within business contexts, such as finance, marketing, and strategy. |
It is geared toward technical and data-heavy roles across various sectors, including healthcare, finance, and IT. |
|
Average Salary (INR) |
Generally higher due to the business management component, ranging from 10-18 LPA based on role and experience |
Typically around 8-15 LPA, depending on the technical nature of roles and experience |
|
Who Should Opt for It |
It is ideal for those looking to bridge data science and business management and aiming for leadership roles. |
Suitable for individuals focused purely on data science, analytics, or transitioning to technical data roles. |
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