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Eligibility for Data Science Courses

  • Educational qualification: Bachelor’s degree in tech, math, engineering, or a related field preferred.
  • Academic Performance: Minimum 60% marks in 10th, 12th, and graduation are commonly required.
  • Mathematical foundation: Knowledge of math, statistics, and Python/R basics supports data analysis skills.
  • English proficiency: IELTS or TOEFL scores are required for candidates applying to global Data Science programs.

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Eligibility Criteria For Different Data Science Courses

Check out the comprehensive guide on the eligibility criteria for various data science courses offered by Great Learning.

Data Science Course Eligibility Criteria

Program Name

University

Eligibility

Master’s in Data Science (Global)

Deakin University

Only learners of PGP-DSBA or PGP-AIML; Bachelor's degree (3-year) in related discipline or any discipline with 2 years work experience.

Master’s in Data Science (Global)

Deakin University

Bachelor's degree (3 years); meet English language requirements.

MS in Data Science

Northwestern University

4-year U.S. bachelor’s degree or equivalent; English proficiency test if applicable; no GRE/GMAT required.

Postgraduate Program in Data Science (with Specialization in Gen AI)

Great Lakes Executive Learning

Graduated 2021 or later; 60% in 10th, 12th, and graduation.

Postgraduate Program in Data Science (with Specialization in Gen AI) (Online)

Great Lakes Executive Learning

Final semester students or recent graduates (0-3 years experience); 60% or above in Xth, XIIth, and Bachelor's.

e-Post Graduate Diploma in Artificial Intelligence and Data Science

IIT Bombay

4-year undergraduate degree or 3-year degree with 1 year work experience; math/stats knowledge.

Postgraduate Program in Data Science & Analytics

Great Lakes Executive Learning

Bachelor’s degree; commonly 60% minimum in 10th, 12th, and bachelor’s studies.

Microsoft Accelerator Program in Data Science and Artificial Intelligence

Great Learning

Working professionals, graduates, and mid-career professionals; no strict prerequisites.

Microsoft Power BI Data Analyst Certification Training (PL-300 Certification)

Great Learning (Microsoft partner)

Professionals in data domain, business analysts, and entrepreneurs.

Postgraduate Program in Data Science with Generative AI

University of Texas at Austin

Bachelor’s degree with minimum 50% aggregate marks; no prior programming knowledge necessary.
Note: The Post Graduate Program in Data Science with Generative AI is designed for working professionals seeking a career transition into analytics roles, as well as students in their final year of graduation. A graduation background in quantitative disciplines such as engineering, mathematics, sciences, statistics, economics, etc., can maximize the program's benefits.

Career in Data Science

Why Pursue a Career in Data Science?
As data-driven strategies become central to decision-making, the demand for skilled data professionals continues to rise. Understanding the eligibility for Data Science is crucial for aspiring learners who want to build expertise and succeed in this dynamic, high-impact field.

Data Science Career Salary


Career Role

Skills Required

Average Salary (USD)

Average Salary (INR)

Data Analyst

SQL, Excel, data cleaning, visualization (Tableau/Power BI)

$84,000 /yr (entry to mid) 

₹5–10 LPA for many entry-to-mid roles.

Senior Data Analyst

Advanced analytics, modeling, dashboarding, SQL/R/Python

$100,000–$130,000 /yr 

₹21.lakhs

Data Scientist

Python/R, Machine Learning, Statistical Modeling, Data Wrangling

$127,300 /yr (average) 

₹33 LPA

Senior Data Scientist

Deep ML, Big Data platforms, strategic insight, domain expertise

$229,000 /yr average total comp

₹41.7lakhs

Data Science Manager / Lead

Team management, project strategy, advanced modeling, stakeholder engagement

$142,000 /yr (manager base) 

₹30–55 LPA


Who is eligible for Data Science Courses? 

  1. Non-Technical Professionals

Marketing specialists, financial analysts, educators, and healthcare professionals can learn Data Science to make informed, data-backed decisions. Understanding key Data Science modules like Data Visualization, analytics, and reporting can help them extract valuable insights from information in their domains.

  1. Software Engineers and Developers

Programmers, software developers, and IT professionals can explore data scientist course details to strengthen their foundation in data handling, predictive modeling, and Machine Learning skills that enhance their ability to design intelligent, data-driven systems.

  1. Data Analysts and Business Intelligence Experts

BI professionals and analysts looking to advance their careers can explore the Data Science course eligibility criteria to transition into more advanced roles. By learning techniques such as statistical modeling, automation, and data storytelling, they can evolve into data scientists or analytics leaders.

  1. Business and Management Professionals

Executives, product managers, and strategy professionals can apply Data Science to optimize operations, forecast trends, and drive measurable outcomes, turning data into a strategic business advantage.


Explore More About Data Science Programs

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Data Science Certification

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Data Science Course Syllabus

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Data Science Course with Placement Opportunities

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Data Science Course Review

Read learner experiences and feedback to choose the right program.

Frequently asked questions

What is the Data Science course eligibility after 12th?
The Data Science course eligibility after 12th depends on your academic background: 
  • Science stream students with subjects like Mathematics, Statistics, or Computer Science are typically preferred for most undergraduate programs.
  • Commerce stream students who have studied Mathematics or Economics can apply for entry-level diploma or certificate courses. 
  • Arts and Humanities stream students may begin with foundation or introductory programs to develop the required logical and analytical skills. 

In essence, students from any stream can pursue Data Science courses after 12th, as long as they have an aptitude for numbers, logical reasoning, and data interpretation.

What is the eligibility for a Data Science course?

Most Data Science programs require a background in mathematics, statistics, computer science, or a related field.
Who can apply for a Data Science course?
Anyone with analytical, technical, or problem-solving skills can meet the eligibility for a Data Science course and start learning.
What are the Data Science course eligibility criteria for working professionals?
Professionals from IT, analytics, or business backgrounds can easily meet the Data Science course eligibility criteria to upskill.
What are the key Data Science modules covered in the program?
Core Data Science modules include Data Analysis, Machine Learning, Visualization, and Predictive Modeling.
Are there online Data Science courses suitable for working professionals?

Yes, online Data Science courses are available for working professionals, like the MIT Data Science certificate program and the Data Science course by Texas McCombs.
Can non-technical graduates meet the eligibility for Data Science?
Yes, many programs are beginner-friendly and include foundational Data Science modules for non-technical learners. For instance, Statistics for Data Science introduces core statistical concepts without requiring prior knowledge. Additionally, the Python for Data Science course provides hands-on experience in Python programming and Machine Learning, suitable for learners new to the field.
Are there foundation courses available if I don’t meet the eligibility for the Data Science course?
Yes, Great Learning Academy offers many foundation courses to help beginners build skills for Data Science. Their Pro subscription at just ₹999 provides access to 35+ courses, making it affordable and easy to meet eligibility for Data Science programs.