PGDM in Data Science: Top Colleges, Fees & Job Prospects

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.

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Let’s see how a PGDM in Data Science can enhance your professional journey!

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PGDM in Data Science: Highlights 

Let’s start with a quick summary of the PGDM in Data Science program:

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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: 

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: 

Please note that these dates are tentative and may vary each year.

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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: 

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.

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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‍Minimal Documentation. Higher Chances of Approval. Easy Online Processes. Check Your Eligibility.

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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:

Note: Salaries may vary based on location, company, experience, and specific industry.

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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

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FAQs

What is PGDM in Data Science?

A PGDM in Data Science is a postgraduate diploma program that combines data science skills with management principles. It prepares students for roles that require both analytical and business acumen. This program typically covers data analysis, machine learning, business analytics, and data visualisation, helping graduates make data-driven business decisions.

What are the highlights of PGDM in Data Science?

1. Duration: Generally 1.5 to 2 years

2. Focus: Blends data science with management concepts

3. Skills: Develops expertise in analytics, business intelligence, and data management

4. Career Prospects: Prepares for roles such as Data Scientist, BI Analyst, Machine Learning Engineer, and Analytics Manager

What is the eligibility for PGDM in Data Science?

1. A bachelor’s degree in any discipline, though backgrounds in fields like engineering, computer science, mathematics, or economics are often preferred.

2. Minimum 50% marks in undergraduate studies.

3. Some programs may also recommend basic programming skills in languages like Python or R.

What entrance exams are required for PGDM in Data Science?

1. Standard entrance exams include CAT, MAT, XAT, CMAT, and GMAT.

2. Some colleges also have their entrance exams or consider scores from the GRE.

 Which colleges are the best for PGDM in Data Science?

1. Top institutions in India include:some text

2. Praxis Business School, Kolkata

3. Great Lakes Institute of Management, Chennai

4. Narsee Monjee Institute of Management Studies (NMIMS), Mumbai

5. International School of Engineering (INSOFE), Hyderabad

6. Symbiosis Centre for Information Technology (SCIT), Pune

7. Each of these institutions offers unique specialisations, curriculum styles, and industry collaborations.

What does the PGDM in Data Science syllabus typically cover?

The syllabus generally includes:

1. Core Subjects: Data Science, Machine Learning, Business Analytics, Data Visualisation

2. Technical Modules: Python, R, Big Data tools (Hadoop, Spark)

3. Management Subjects: Business Strategy, Marketing, and Financial Analysis

4. Practical components often include projects, internships, and a capstone project.

What are the job prospects after completing a PGDM in Data Science?

Graduates can pursue roles such as:

1. Data Scientist

2. Business Intelligence Analyst

3. Machine Learning Engineer

4. Data Engineer

5. AI Product Manager The demand for data science professionals continues to grow, with salaries generally starting around INR 10-18 LPA, depending on experience and role.

What is PGDDS? How is it different from PGDM in Data Science?

PGDDS, or Post Graduate Diploma in Data Science, is a shorter, technically focused program often lasting around one year. Unlike the PGDM, it typically does not include management or business subjects. PGDDS is best suited for those aiming to build purely technical skills in data science without the management focus.

How does PGDM in Data Science differ from PGDDS?

1. PGDM in Data Science: Combines data science with business management, which is ideal for those aiming for roles that blend analytics with leadership.

2. PGDDS: A more technical program focused solely on data science that is suitable for technical roles that do not require management skills.

What is the scope of PGDM in Data Science globally?

Data science professionals and their skills are in demand worldwide. A PGDM in Data Science opens up opportunities in multinational corporations, tech firms, financial institutions, and even startups, as data-driven decision-making is integral across industries globally.

How challenging is the PGDM in the Data Science program?

The program can be intensive as it covers both technical data science concepts and management principles. However, it is manageable for students with a solid analytical background or interest in data and problem-solving.

What are the top skills gained from a PGDM in Data Science?

1. Technical Skills: Machine learning, statistical analysis, programming in Python and R, data visualisation.

2. Analytical Skills: Data interpretation, predictive modelling, big data analytics.

3. Business Skills: Strategic thinking, business intelligence, and management concepts.

What are the typical projects undertaken in a PGDM in Data Science?

Students often work on real-world data analytics projects, such as:

1. Predictive modelling in finance

2. Customer segmentation analysis for marketing

3. Big data analysis using Hadoop or Spark

4. Data visualisation projects with tools like Tableau or Power BI

5. Capstone projects that solve specific business or organisational challenges using data science

How is PGDM in Data Science different from an MBA with Data Analytics specialisation?

1. PGDM in Data Science: Focuses on developing deep data science and analytical skills with foundational management knowledge.

2. MBA in Data Analytics: Emphasises broader business skills with an option to specialise in data analytics. It is ideal for those looking for high-level management roles with some data analysis knowledge.

What are the industry applications of skills gained in PGDM in Data Science?

1. Finance: Fraud detection, risk analysis, and algorithmic trading.

2. Healthcare: Predictive analytics for patient outcomes and disease trends.

3. Retail: Customer segmentation, recommendation engines, and demand forecasting.

4. Manufacturing: Predictive maintenance, supply chain optimisation, and quality control.

Is PGDM in Data Science worth the investment?

Yes, given the increasing demand for data-driven decision-making across industries, a PGDM in Data Science offers an excellent return on investment through diverse career opportunities, high salaries, and the ability to work in dynamic and impactful fields.

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