This blog aims to offer insights into pursuing a PGDM in data science. Whether you are looking into eligibility requirements, exploring top colleges in India, or considering career opportunities, this guide is your go-to source. Let’s discover the wide-ranging opportunities it offers.
Table of Contents
PGDM in Data Science Course: Highlights
The major highlights of the PGDM in Data Science course are provided in the table given below:
| Course Level | Post Graduate |
| Duration | 2 years |
| Eligibility | Completed or pursuing a bachelor’s degree from a recognized university |
| Admission Process | Entrance test and counseling |
| Course Fee | INR 50,000 to INR 10,00,000 |
| Average Annual Salary | INR 3,00,000 to INR 15,00,000 |
| Job Profiles | Data Engineer, Data Scientist, Data Analyst, Big Data Architect, BI Analyst, etc. |
| Top Recruiting Firms | Google, Microsoft, Amazon, IBM, Boston Consulting Group (BCG), JPMorgan Chase, Goldman Sachs, Walmart, etc. |
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PGDM in Data Science: What is it about?
- A Post Graduate Diploma in Management (PGDM) in Data Science is a specialized program that focuses on developing skills and knowledge in data analysis and interpretation.
- This course typically covers a wide range of subjects, including statistics, machine learning, and data mining. It also covers programming languages like Python or R, data visualization, and big data technologies. PGDM in Data Science aims to equip students with technical expertise in data cleaning, analyzing, and deriving insights from large sets of data.
- Students often learn how to use various tools and software commonly used in the industry, gaining hands-on experience through practical projects and case studies. Additionally, they explore the ethical considerations and legal implications surrounding data usage and privacy.
- The goal of a PGDM in Data Science is to prepare individuals for roles such as data analysts, data scientists, business analysts, etc. It emphasizes the application of analytical techniques to solve complex business problems. This also enables professionals to make informed decisions based on data-driven insights.
Top PGDM in Data Science Colleges in India
Discover the best colleges in India offering top-notch PG Diploma programs in data science. These colleges provide excellent training in data analysis and machine learning, helping students become skilled. Explore the following leading institutions that prepare future data experts:
| College Name | Institution Type | Average fee (INR) | Average Annual Package (INR) |
| IIT Banglore | Public | 2.5- 3.5 lakh | 10-15 lakh per annum |
| IIIT Bhubaneswar | Public | 3-5 lakh | 15-20 lakh per annum |
| IIT Madras | Public | 2-3 lakh | 12-18 lakh per annum |
These colleges stand out for their unique approaches, industry linkages, and emphasis on holistic learning, which makes them preferred choices among students aspiring for a career in data science and analytics.
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How to Get Admission to Top Colleges for PGDM in Data Science
The enrollment process for a PGDM in data science can indeed involve several steps. Let’s understand each stage of the admission procedure in detail:
- Application Submission: Candidates typically fill out an application form provided by the institution offering the PGDM program. This form includes personal information, academic background, and sometimes a statement of purpose (SOP).
- Academic Records and Test Scores: Applicants are required to submit their academic transcripts from their undergraduate or previous academic programs. Additionally, they might need to submit scores from standardized tests like the GRE or GMAT, depending on the program’s requirements.
- Recommendation Letters: Applicants need to arrange for letters of recommendation from professors. These letters provide additional insight into an applicant’s qualifications and suitability for the program.
- Interview: Some colleges may require you to appear for an interview. This interview could be telephonic, via video conferencing, or in person. The interview serves as another way for the admissions committee to assess the candidate’s suitability for the program.
Eligibility Criteria
To be eligible, you need to have a bachelor’s degree with a minimum aggregate of 50 percent marks, or its equivalent, which is typically required, preferably in science or computer science from a recognized university.
Here are some essential qualifying criteria for the PGDM in Data Science program:
- Most colleges look for applicants who have completed a bachelor’s degree in subjects such as computer science, engineering, mathematics, statistics, economics, or related fields from a recognized university or institution.
- Candidates awaiting final semester exam results may apply, but they must provide transcripts of all semester examinations before applying for admission. Original mark sheets of recent qualifications must be presented during counseling or admission.
- Work experience may be considered part of the admission process by several institutes.
Top Entrance Exams
- National-Level Exams: Institutes also accept scores from national-level entrance exams such as the XAT (Xavier Aptitude Test) the GMAT (Graduate Management Admission Test), or other similar exams commonly used for management programs.
- Joint Admission Test (IIT JAM 2024): IIT JAM 2024 welcomes candidates of all nationalities, including Indian and foreign applicants. Those aspiring for admission to academic programs covered by JAM 2024. It is scheduled for February 14, 2024 (Sunday), and JAM 2024 will be conducted as a computer-based online examination.
- The test will be administered as a computer-based Test (CBT), where candidates will encounter questions presented on a computer screen.
- The duration of the JAM 2024 examination will be three hours for each of the seven test papers.
- All examination papers will be in the English language only. Comprising a total of 60 questions, each question will carry 100 points. The paper will be divided into three parts: A, B, and C. All sections are mandatory. The questions in each section will have different formats:
- Section A: Multiple Choice Questions (MCQ) with 30 questions
- Section B: Multiple Select Questions (MSQ) with 10 questions
- Section C: Numerical Answer Type Questions (NAT) with 20 questions
- Specific University Entrance Exams: Some universities may have their own entrance exams designed for their Data Science programs. Be sure to check with the universities you are interested in for their specific requirements.
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Syllabus of PGDM in Data Science
The syllabus for PGDM in Data Science often differs between universities and institutions. However, a broad overview of the subjects typically taught each semester. It is important to note that the curriculum structure may vary depending on the institution.
| Semester 1 | Semester 2 | Semester 3 | Semester 4 |
| Introduction to Data Science | Machine Learning with Python | Advanced Machine Learning | Data Science Project |
| Programming for Data Science (Python) | Data Warehousing and Business Intelligence | Natural Language Processing | Data Science Ethics and Legal Issues |
| Mathematics for Data Science | Data Visualization and Communication | Artificial Intelligence | Data Science for Business Problem Solving |
| Statistics for Data Science | Big Data and Cloud Computing | Elective 2 | Elective 4 |
| Exploratory Data Analysis | Elective 1 | Elective 3
| Internship or Capstone Project |
List of Electives:
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Natural Language Processing (NLP)
- Computer Vision
- Statistical Methods for Data Science
- Bayesian Statistics
- Non-parametric Statistics
- Time Series Analysis
- Multivariate Statistics
- Python for Data Science
- R for Data Science
- Scala for Data Science
- Java for Data Science
- Finance
- Marketing
- Healthcare
- Manufacturing
- Retail
Career Options
A PGDM in data science opens many job doors because lots of different industries need people who can use data to make smart decisions.
Top Recruiting Companies
In the field of PGDM in data science, several prominent companies actively seek skilled professionals, offering competitive salary packages. Here’s an overview of some of the top recruiters and the average annual salary they typically offer to candidates:
| Top Recruiters | Average Annual Package (INR) |
| Google | 18,00,000 |
| Amazon | 13,22,574 |
| Microsoft | 14,00,000 |
| Deloitte | 15,00,000 |
| Accenture | 13,11,504 |
| TCS | 8,90,567 |
| HCL Technologies Limited | 12,00,000 |
| Uber | 16,00,000 |
Job Profiles with Average Salary
After successfully completing a PGDM in data science program, a lot of interesting career opportunities open up. Following are the roles and paths you can explore:
| Job Profile | Job Description | Average Annual Salary (INR) |
| Data Scientist | Analyzes complex data sets, and develops algorithms for business insights | 7,00,000 – 20,00,000 LPA |
| Data Analyst | Examines data, identifies trends, and generates reports for decisions | 4,00,000 – 10,00,000 LPA |
| Data Engineer | Manages and constructs data pipelines and databases for data processing | 5,00,000 – 15,00,000 LPA |
| Big Data Analyst/Engineer | Handles and analyzes large volumes of data using specialized tools. | 5,00,000 – 14,00,000 LPA |
| Machine Learning Engineer | Develops AI models and implements machine learning algorithms. | 8,00,000 – 14,00,000 LPA |
Future Scope
The future scope of PGDM in data science encompasses a broad spectrum of opportunities due to the increasing reliance on data-driven insights across industries. Here’s an overview:
- Growing Demand: As per the Bureau of Labor Statistics, the field of data science is expected to see a substantial growth of 22.4% between 2020 and 2030. This growth rate is much faster than in the other fields. Organizations across sectors are increasingly leveraging data to make informed decisions, driving the demand for skilled professionals who can interpret and analyze data effectively.
- Diverse Industry Applications: Data Science finds applications in diverse fields like finance, healthcare, retail, cybersecurity, and more. This diversity offers graduates a wide array of career paths.
- Career Versatility: PGDM in Data Science equips individuals with a versatile skill set, enabling them to explore roles as data scientists, analysts, consultants, and managers across industries.
- Continuous Innovation: The field of data science is dynamic, constantly evolving with technological advancements. This presents opportunities for professionals to engage in continuous learning and innovation.
- Job Market Growth: The job market for PGDM in Data Science is growing rapidly. The demand for skilled data science professionals is expected to increase by 37% from 2020 to 2030, with numerous opportunities arising as businesses increasingly rely on data-driven strategies.
- Entrepreneurial Ventures: Individuals with a PGDM in Data Science can explore entrepreneurial ventures by providing data-driven solutions or starting their own consulting firms to cater to the growing demand for analytics services.
FAQS
What distinguishes PGDM in Data Science from other data-related programs?
PGDM in Data Science is a blend of managerial skills and technical expertise, focusing on both data analytics and strategic decision-making within organizations.
Are there specific prerequisites or academic backgrounds required for pursuing a PGDM in Data Science?
While requirements vary among institutions, candidates often need a bachelor’s degree in fields like computer science, engineering, mathematics, statistics, or related disciplines. Some institutes might prefer candidates with prior exposure to programming and data analysis.
How does PGDM in Data Science prepare graduates for the job market?
The program equips graduates with a diverse skill set, encompassing data analysis, machine learning, statistical modeling, and managerial proficiency. It aims to make them adept at handling real-world data challenges and decision-making scenarios prevalent in today’s industries.
What career prospects are available after completing a PGDM in Data Science?
Graduates can pursue roles as data scientists, analysts, consultants, business intelligence professionals, or work in specialized areas like machine learning, big data analytics, and more across industries such as finance, healthcare, marketing, and technology.
Does the program typically include practical training or internships?
Many PGDM programs in data science incorporate practical components such as internships, capstone projects, or industry collaborations. These experiences allow students to apply theoretical knowledge in real-world settings and gain practical insights. Ensure your Excel spreadsheets stay accurate and error-free by learning how to use data validation. This easy-to-follow guide will teach you the basics of data validation in Excel, helping you maintain data integrity with confidence.