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Post Graduation in Data Science: Fees, Eligibility & Top Institutes

April 19, 2025
5 Min

In today’s digital world, data is everywhere. From businesses to healthcare, sports, and even social media, data plays a huge role in shaping decisions and driving progress. As companies rely more on data to improve their operations, the demand for skilled professionals who can understand and analyze this data is growing rapidly.

This is where a post-graduation in data science comes in. It’s a higher-level program that helps you learn how to work with large amounts of data, use advanced tools, and solve complex problems. By doing a post-graduation in data science, you open the door to a range of exciting career opportunities in one of the fastest-growing fields today.

Whether you’re looking to work as a data scientist, data analyst, or even a machine learning engineer, this course will give you the skills and knowledge you need to succeed.

What is Post Graduation in Data Science?

Post-graduation in Data Science is a specialized program that helps students learn how to handle and analyze large amounts of data. The course focuses on teaching students how to use data to solve problems, make decisions, and discover useful patterns that can help businesses and organizations grow.

In this program, students learn a mix of different skills. They study how to organize and clean data, how to understand and interpret the information, and how to use it for decision-making. Students also get familiar with various tools and techniques to analyze data, like working with computers and software programs that help manage and understand big sets of information.

Data science is used in many industries like healthcare, finance, technology, marketing, and even sports. By studying post-graduation in data science, you get the chance to learn the skills that are in high demand by companies all over the world. It’s a great way to boost your career and take advantage of the growing opportunities in the field.

Apply Now: Visit Futurense BSc Data Science Program and start your journey today!

Eligibility Criteria for Post Graduation in Data Science

Before you can enroll in a post-graduation program in Data Science, you need to meet certain eligibility requirements. These criteria ensure that you have the necessary foundation to understand the advanced concepts taught in the course. Here’s a detailed look at the eligibility criteria:

1. Educational Background

Bachelor's Degree: To be eligible for a post-graduation in Data Science, you generally need to have a completed bachelor’s degree from a recognized university. The degree can be in any field, but it’s preferable to have a background in subjects like:


  • Computer Science

  • Mathematics

  • Statistics

  • Engineering (particularly Computer Engineering, IT, Electrical Engineering)

  • Physics or other related sciences

Other Degrees: If you have a degree in a non-technical field (like economics or business), you may still be eligible if you have taken courses in math or programming. Some universities may also offer preparatory courses to help you catch up.


2. Required Skills or Knowledge

  • Mathematics: A basic understanding of mathematics, especially statistics, is very important in data science. If you didn’t study advanced math during your undergraduate degree, you might need to refresh your knowledge before applying.

  • Programming: Many post-graduate programs in Data Science require some knowledge of programming, especially in languages like Python, R, or SQL. If you don't have experience with these languages, some universities may offer introductory programming courses before the main program begins.

  • Other Skills: Basic knowledge of databases and data manipulation tools is also helpful. However, if you lack these skills, many programs offer tutorials or preparatory courses.


3. Entrance Exams

Some universities or institutions may require you to take an entrance exam. These exams are designed to test your knowledge in areas like mathematics, programming, and logical reasoning.

Popular exams include:

  • GRE (Graduate Record Examination)

  • GATE (for Indian students)

  • Some universities might have their own specific entrance tests.

Keep in mind that some institutes may waive off the entrance exam requirement if you have significant work experience or an impressive academic background.



4. Work Experience (Optional but Helpful)

  • While not always a strict requirement, having relevant work experience in fields like software development, business analytics, or any technical role can make you a more competitive candidate. Some institutes may also consider your work experience in the selection process, especially if you have experience in data analysis or related areas.

  • However, many programs are open to fresh graduates as well, so this is not a mandatory requirement.


5. Language Proficiency

Since many post-graduation programs in data science are taught in English, students may be required to prove their proficiency in English. This is especially true for international students who come from countries where English is not the primary language.

Common tests include:

  • IELTS (International English Language Testing System)

  • TOEFL (Test of English as a Foreign Language)

However, if you have completed your undergraduate degree in English, you may be exempt from this requirement.

Also Read: Understanding Artificial Neural Networks: A Guide to AI’s Building Blocks

Fees for Post Graduation in Data Science

The fees for a post-graduation in Data Science can vary widely depending on the university or institute you choose, the country you're studying in, and the type of program (online or offline). Generally, the fees can range from affordable options in local universities to high-cost programs in prestigious international institutions.

Here’s a breakdown to give you an idea of what to expect:

1. Average Fees for Post-Graduation in Data Science

  • India: The fees for post-graduation courses in Data Science in India typically range between ₹2,00,000 and ₹10,00,000 for the full program. This depends on the university's reputation, the duration of the course, and the mode of study (online or offline).

  • International: If you choose to study abroad, the fees can range from $10,000 to $50,000 per year. Popular destinations like the United States, the United Kingdom, and Canada tend to have higher fees. However, many international universities offer scholarships or financial aid to help reduce the overall cost.


2. Futurense Course Fee

At Futurense, we offer a high-quality post-graduation program in Data Science with the following fee structure:

  • Course Fee: ₹3,25,000 (No GST applicable)

  • This fee covers the complete course, including lectures, materials, access to resources, and any additional support throughout the program.


3. What’s Included in the Course Fee?

  • Tuition Fee: Covers the cost of the lessons, hands-on projects, and assignments.

  • Course Materials: All the study materials, reference books, and online resources.

  • Industry Projects: Real-world data science projects that provide practical experience.

  • Mentorship and Support: Access to experienced mentors who guide you throughout the program.

  • Certifications: On successful completion of the course, you will receive a certification that can boost your career.

Also Read: Deep Learning Applications: A Quick Guide

Top Institutes Offering Post Graduation in Data Science

There are several well-known institutes that offer excellent post-graduation programs in Data Science. These programs provide a solid foundation in data analysis, programming, and machine learning, preparing students for high-demand careers in data-driven industries. Below are some of the top institutes offering post-graduation in Data Science, including the Futurense program:

1. Futurense

Program Overview: Futurense offers an advanced 12-month post-graduation program in Data Science, designed to provide comprehensive training in data analytics, machine learning, and programming. This program is ideal for those looking to gain in-depth knowledge and hands-on experience to excel in the world of data science.

  • Duration: 12 Months | 330 Hours

  • Interactive AI Simulation Exercises: Engage in real-world, interactive AI simulations to gain practical experience.

  • IITian Tag & Access to IIT Alumni Network: Gain credibility with an IITian tag and access to the prestigious IIT alumni network.

  • Mentorship from 30+ Industry Leaders: Learn from the best in the industry with guidance from over 30 experienced mentors.

  • Direct Pathway to IIT-J Executive MTech Program: On completion of the Futurense Data Science program, you get a direct pathway to the Executive MTech program at IIT-J, further enhancing your educational qualifications.


2. Indian Institutes of Technology (IITs)

  • Program Overview: IITs are among the top institutes in India, offering post-graduation courses in Data Science and Artificial Intelligence. Their courses are well-structured, and IITs are known for their top-notch faculty and research opportunities.

  • Duration: Typically 2 years

  • Course Features: Strong theoretical and practical training, access to IIT's research labs, and close connections with top companies in the tech industry.

  • Top Institutes: IIT Bombay, IIT Delhi, IIT Madras, IIT Kharagpur.


3. International Institute of Information Technology (IIITs)

  • Program Overview: IIITs are another great option in India for post-graduation in Data Science. These institutes offer specialized programs in Data Science and Artificial Intelligence.

  • Duration: 2 years

  • Course Features: Emphasis on research, data engineering, and machine learning, along with partnerships with tech companies for internships and job placements.


4. Great Lakes Institute of Management

  • Program Overview: Great Lakes offers a post-graduation program in Data Science with a focus on applying data science techniques in business.

  • Duration: 1 year (full-time)

  • Course Features: Specializes in business analytics, machine learning, and big data processing, offering industry-based projects and internship opportunities.


5. UpGrad and IIIT Bangalore

  • Program Overview: UpGrad in collaboration with IIIT Bangalore offers a flexible online post-graduation program in Data Science.

  • Duration: 11 months (online)

  • Course Features: Includes live sessions, capstone projects, and a strong focus on data visualization, machine learning, and statistical analysis.

FAQs

1. What is the duration of the post-graduation program in Data Science?

The duration of a post-graduation program in Data Science typically ranges from 1 to 2 years, depending on the institute and whether the program is full-time or part-time. For example, the Futurense Data Science program is 12 months long, offering 330 hours of comprehensive training.

2. What are the eligibility criteria for post-graduation in Data Science?

To be eligible for a post-graduation in Data Science, you generally need a bachelor’s degree in any field, with a preference for technical or quantitative disciplines like Computer Science, Engineering, Mathematics, or Statistics. Some programs may also require basic knowledge of programming and mathematics. Specific requirements may vary by institute.

3. How much does a post-graduation in Data Science cost?

The fees for post-graduation in Data Science can vary depending on the institution. In India, fees typically range from ₹2,00,000 to ₹10,00,000 for full-time programs. Futurense offers its program for ₹3,25,000 (no GST), which includes tuition, course materials, mentorship, and real-world projects.

4. What is the career scope after completing post-graduation in Data Science?

Data Science is one of the fastest-growing fields, with demand across industries like healthcare, finance, technology, and marketing. After completing your post-graduation, you can work as a Data Scientist, Data Analyst, Machine Learning Engineer, or Business Analyst, among other roles. Many top companies also actively recruit Data Science professionals for their growing data needs.

5. Can I study Data Science online?

Yes, many universities and institutes offer online post-graduation programs in Data Science, allowing you to study remotely. Online programs often offer flexible schedules and may also provide live sessions, recorded lectures, and mentorship. Futurense offers an interactive learning experience, including AI simulation exercises and mentorship from industry leaders.

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Post Graduation in Data Science: Fees, Eligibility & Top Institutes

April 19, 2025
5 Min

In today’s digital world, data is everywhere. From businesses to healthcare, sports, and even social media, data plays a huge role in shaping decisions and driving progress. As companies rely more on data to improve their operations, the demand for skilled professionals who can understand and analyze this data is growing rapidly.

This is where a post-graduation in data science comes in. It’s a higher-level program that helps you learn how to work with large amounts of data, use advanced tools, and solve complex problems. By doing a post-graduation in data science, you open the door to a range of exciting career opportunities in one of the fastest-growing fields today.

Whether you’re looking to work as a data scientist, data analyst, or even a machine learning engineer, this course will give you the skills and knowledge you need to succeed.

What is Post Graduation in Data Science?

Post-graduation in Data Science is a specialized program that helps students learn how to handle and analyze large amounts of data. The course focuses on teaching students how to use data to solve problems, make decisions, and discover useful patterns that can help businesses and organizations grow.

In this program, students learn a mix of different skills. They study how to organize and clean data, how to understand and interpret the information, and how to use it for decision-making. Students also get familiar with various tools and techniques to analyze data, like working with computers and software programs that help manage and understand big sets of information.

Data science is used in many industries like healthcare, finance, technology, marketing, and even sports. By studying post-graduation in data science, you get the chance to learn the skills that are in high demand by companies all over the world. It’s a great way to boost your career and take advantage of the growing opportunities in the field.

Apply Now: Visit Futurense BSc Data Science Program and start your journey today!

Eligibility Criteria for Post Graduation in Data Science

Before you can enroll in a post-graduation program in Data Science, you need to meet certain eligibility requirements. These criteria ensure that you have the necessary foundation to understand the advanced concepts taught in the course. Here’s a detailed look at the eligibility criteria:

1. Educational Background

Bachelor's Degree: To be eligible for a post-graduation in Data Science, you generally need to have a completed bachelor’s degree from a recognized university. The degree can be in any field, but it’s preferable to have a background in subjects like:


  • Computer Science

  • Mathematics

  • Statistics

  • Engineering (particularly Computer Engineering, IT, Electrical Engineering)

  • Physics or other related sciences

Other Degrees: If you have a degree in a non-technical field (like economics or business), you may still be eligible if you have taken courses in math or programming. Some universities may also offer preparatory courses to help you catch up.


2. Required Skills or Knowledge

  • Mathematics: A basic understanding of mathematics, especially statistics, is very important in data science. If you didn’t study advanced math during your undergraduate degree, you might need to refresh your knowledge before applying.

  • Programming: Many post-graduate programs in Data Science require some knowledge of programming, especially in languages like Python, R, or SQL. If you don't have experience with these languages, some universities may offer introductory programming courses before the main program begins.

  • Other Skills: Basic knowledge of databases and data manipulation tools is also helpful. However, if you lack these skills, many programs offer tutorials or preparatory courses.


3. Entrance Exams

Some universities or institutions may require you to take an entrance exam. These exams are designed to test your knowledge in areas like mathematics, programming, and logical reasoning.

Popular exams include:

  • GRE (Graduate Record Examination)

  • GATE (for Indian students)

  • Some universities might have their own specific entrance tests.

Keep in mind that some institutes may waive off the entrance exam requirement if you have significant work experience or an impressive academic background.



4. Work Experience (Optional but Helpful)

  • While not always a strict requirement, having relevant work experience in fields like software development, business analytics, or any technical role can make you a more competitive candidate. Some institutes may also consider your work experience in the selection process, especially if you have experience in data analysis or related areas.

  • However, many programs are open to fresh graduates as well, so this is not a mandatory requirement.


5. Language Proficiency

Since many post-graduation programs in data science are taught in English, students may be required to prove their proficiency in English. This is especially true for international students who come from countries where English is not the primary language.

Common tests include:

  • IELTS (International English Language Testing System)

  • TOEFL (Test of English as a Foreign Language)

However, if you have completed your undergraduate degree in English, you may be exempt from this requirement.

Also Read: Understanding Artificial Neural Networks: A Guide to AI’s Building Blocks

Fees for Post Graduation in Data Science

The fees for a post-graduation in Data Science can vary widely depending on the university or institute you choose, the country you're studying in, and the type of program (online or offline). Generally, the fees can range from affordable options in local universities to high-cost programs in prestigious international institutions.

Here’s a breakdown to give you an idea of what to expect:

1. Average Fees for Post-Graduation in Data Science

  • India: The fees for post-graduation courses in Data Science in India typically range between ₹2,00,000 and ₹10,00,000 for the full program. This depends on the university's reputation, the duration of the course, and the mode of study (online or offline).

  • International: If you choose to study abroad, the fees can range from $10,000 to $50,000 per year. Popular destinations like the United States, the United Kingdom, and Canada tend to have higher fees. However, many international universities offer scholarships or financial aid to help reduce the overall cost.


2. Futurense Course Fee

At Futurense, we offer a high-quality post-graduation program in Data Science with the following fee structure:

  • Course Fee: ₹3,25,000 (No GST applicable)

  • This fee covers the complete course, including lectures, materials, access to resources, and any additional support throughout the program.


3. What’s Included in the Course Fee?

  • Tuition Fee: Covers the cost of the lessons, hands-on projects, and assignments.

  • Course Materials: All the study materials, reference books, and online resources.

  • Industry Projects: Real-world data science projects that provide practical experience.

  • Mentorship and Support: Access to experienced mentors who guide you throughout the program.

  • Certifications: On successful completion of the course, you will receive a certification that can boost your career.

Also Read: Deep Learning Applications: A Quick Guide

Top Institutes Offering Post Graduation in Data Science

There are several well-known institutes that offer excellent post-graduation programs in Data Science. These programs provide a solid foundation in data analysis, programming, and machine learning, preparing students for high-demand careers in data-driven industries. Below are some of the top institutes offering post-graduation in Data Science, including the Futurense program:

1. Futurense

Program Overview: Futurense offers an advanced 12-month post-graduation program in Data Science, designed to provide comprehensive training in data analytics, machine learning, and programming. This program is ideal for those looking to gain in-depth knowledge and hands-on experience to excel in the world of data science.

  • Duration: 12 Months | 330 Hours

  • Interactive AI Simulation Exercises: Engage in real-world, interactive AI simulations to gain practical experience.

  • IITian Tag & Access to IIT Alumni Network: Gain credibility with an IITian tag and access to the prestigious IIT alumni network.

  • Mentorship from 30+ Industry Leaders: Learn from the best in the industry with guidance from over 30 experienced mentors.

  • Direct Pathway to IIT-J Executive MTech Program: On completion of the Futurense Data Science program, you get a direct pathway to the Executive MTech program at IIT-J, further enhancing your educational qualifications.


2. Indian Institutes of Technology (IITs)

  • Program Overview: IITs are among the top institutes in India, offering post-graduation courses in Data Science and Artificial Intelligence. Their courses are well-structured, and IITs are known for their top-notch faculty and research opportunities.

  • Duration: Typically 2 years

  • Course Features: Strong theoretical and practical training, access to IIT's research labs, and close connections with top companies in the tech industry.

  • Top Institutes: IIT Bombay, IIT Delhi, IIT Madras, IIT Kharagpur.


3. International Institute of Information Technology (IIITs)

  • Program Overview: IIITs are another great option in India for post-graduation in Data Science. These institutes offer specialized programs in Data Science and Artificial Intelligence.

  • Duration: 2 years

  • Course Features: Emphasis on research, data engineering, and machine learning, along with partnerships with tech companies for internships and job placements.


4. Great Lakes Institute of Management

  • Program Overview: Great Lakes offers a post-graduation program in Data Science with a focus on applying data science techniques in business.

  • Duration: 1 year (full-time)

  • Course Features: Specializes in business analytics, machine learning, and big data processing, offering industry-based projects and internship opportunities.


5. UpGrad and IIIT Bangalore

  • Program Overview: UpGrad in collaboration with IIIT Bangalore offers a flexible online post-graduation program in Data Science.

  • Duration: 11 months (online)

  • Course Features: Includes live sessions, capstone projects, and a strong focus on data visualization, machine learning, and statistical analysis.

FAQs

1. What is the duration of the post-graduation program in Data Science?

The duration of a post-graduation program in Data Science typically ranges from 1 to 2 years, depending on the institute and whether the program is full-time or part-time. For example, the Futurense Data Science program is 12 months long, offering 330 hours of comprehensive training.

2. What are the eligibility criteria for post-graduation in Data Science?

To be eligible for a post-graduation in Data Science, you generally need a bachelor’s degree in any field, with a preference for technical or quantitative disciplines like Computer Science, Engineering, Mathematics, or Statistics. Some programs may also require basic knowledge of programming and mathematics. Specific requirements may vary by institute.

3. How much does a post-graduation in Data Science cost?

The fees for post-graduation in Data Science can vary depending on the institution. In India, fees typically range from ₹2,00,000 to ₹10,00,000 for full-time programs. Futurense offers its program for ₹3,25,000 (no GST), which includes tuition, course materials, mentorship, and real-world projects.

4. What is the career scope after completing post-graduation in Data Science?

Data Science is one of the fastest-growing fields, with demand across industries like healthcare, finance, technology, and marketing. After completing your post-graduation, you can work as a Data Scientist, Data Analyst, Machine Learning Engineer, or Business Analyst, among other roles. Many top companies also actively recruit Data Science professionals for their growing data needs.

5. Can I study Data Science online?

Yes, many universities and institutes offer online post-graduation programs in Data Science, allowing you to study remotely. Online programs often offer flexible schedules and may also provide live sessions, recorded lectures, and mentorship. Futurense offers an interactive learning experience, including AI simulation exercises and mentorship from industry leaders.

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