Data Science Course Eligibility – Complete Guide 2025

If you’re planning to build a career in data science, the first step is to understand the data science course eligibility criteria. Whether you’re a student fresh out of school, a graduate exploring options, or a professional looking to switch careers, knowing the eligibility for data science courses will help you choose the right path in 2025. 

 In this blog, you’ll learn about the academic and skill-based requirements, eligibility after 12th, undergraduate and postgraduate options, international criteria, and how to prepare if you don’t yet meet the requirements. We’ll also cover tips, career outcomes, and answer the most common questions about data science eligibility.  

Want to secure a high-paying career in data science? Enroll in upGrad’s industry-aligned Data Science Courses to advance your career in 2025! 

Data Science Course Eligibility : Overview 

The Data Science Course Eligibility depends on the type of program you choose, undergraduate, postgraduate, diploma, or certification. While there are no fixed universal rules, most institutes follow certain common requirements. 

Start your journey of career advancement in data science with upGrad’s top-ranked courses and get a chance to learn from industry-established mentors:   

• Masters in Data Science from Liverpool John Moores University   
• Generative AI Mastery Certificate for Data Analysis   

• Executive Diploma in Data Science and AI from IIITB 

   

1. Educational background: For undergraduate programs, you need to have completed your 12th grade, often with Mathematics or Statistics as a compulsory subject. For postgraduate courses, you usually need a bachelor's degree in Computer Science, Engineering, Mathematics, Economics, or a related field. 
2. Minimum marks/grades: Many universities set a cutoff percentage or CGPA (often around 50–60%) as part of data science course eligibility. 
3. Entrance exams: Some programs, especially at top universities, may require clearing entrance exams or aptitude tests. 
4. Work experience: For executive or online professional certifications, prior work experience in IT, analytics, or business can be part of the data science eligibility criteria. 
5. Skills requirement: Along with academic qualifications, institutes often expect basic programming knowledge and mathematical ability. 

These are the common data science course eligibility requirements. Now, let’s look at the eligibility criteria after the 12th. 

Data Science Course Eligibility After 12th: Undergraduate Programs  

Many students ask whether they can start their data science journey right after completing school. The good news is yes; you can pursue certain diploma, certificate, and integrated degree programs after 12th grade. The data science course eligibility after 12th varies depending on the stream you studied and the type of course you want to take. 

• Science stream students with Mathematics, Statistics, or Computer Science are preferred for most programs. 
• Commerce students with a strong background in Mathematics or Economics may also qualify for some diploma or certification courses. 
• Arts students have limited direct options but can enter through general certificate programs that focus on foundational skills. 

Below is a comparison of popular options available after 12th: 

Entrance Exam Requirements for Undergraduate Data Science Programs

Let’s look at what entrance exams are required for Undergraduate Programs: 

Data Science Course Eligibility for Postgraduate Programs 

Postgraduate courses like MSc, MTech, MBA, and PG Diploma in Data Science are designed for graduates who want advanced knowledge or career growth in analytics, AI, and big data. The eligibility for data science courses at this level is stricter compared to undergraduate programs, as universities expect a relevant academic background and, in some cases, professional experience. 

Let’s look at the eligibility for the courses and what entrance exams are required for the Data Science Courses. 

Data Science Course Eligibility for Certification and Online Courses 

Certification and online programs provide a flexible way to start or advance your data science career. The eligibility for data science certification courses is generally broader than traditional degrees, allowing learners from diverse academic backgrounds to enroll. 

Key points on eligibility: 

• Academic requirements: Most online certifications accept graduates from any discipline. Basic knowledge of Mathematics, Statistics, or programming is recommended but not mandatory. 
• Work experience: Some advanced certifications may prefer candidates with professional experience, especially for executive or advanced tracks. 
• For working professionals, career switchers, and freshers: Courses are structured for different experience levels. Beginners can start with foundational modules, while professionals can opt for advanced courses to improve their skills. 

Now let’s look at Data Science Course Eligibility in a summarized way for different programs available online. 

International Data Science Course Eligibility Criteria 

If you are considering studying data science abroad, understanding the data science course eligibility for international programs is essential. Requirements vary by country, but several common standards apply across top destinations like the US, UK, Canada, Germany, and Australia. 

Common global standards: 

• A recognized bachelor’s degree in a relevant field such as Computer Science, Mathematics, Statistics, Engineering, or Economics is typically required for postgraduate programs. 
• Some countries offer pre-master’s or bridge programs for students from non-technical backgrounds. 

The table below summarizes the key academic, language, and additional requirements for pursuing data science courses in top international destinations. 

Skills Required Alongside Academic Eligibility for Data Science Courses 

Meeting data science course eligibility isn’t enough; you also need practical skills: 

• Math foundation: Statistics, linear algebra, probability 
• Programming: Python, R, SQL 
• Analytical & logical reasoning 
• Communication & problem-solving 

Want to know these skills and the Data Science Course Syllabus in detail? Check this- Data Science Course Syllabus 2025: Subjects & Master’s Guide 

Career Opportunities After Meeting Data Science Eligibility 

Once you meet data science course eligibility, a wide range of career paths opens up: 

• Entry-level roles: Positions like Data Analyst, Business Analyst, or Junior Data Scientist help you gain practical experience. 
• Advanced roles: With experience and advanced skills, you can move into Data Scientist, Machine Learning Engineer, or AI Specialist roles. 
• Research and academic careers: Opportunities also exist in research labs, universities, or specialized analytics projects. 

Explore in Detail- Career in Data Science: Jobs, Salary, and Skills Required 

How Can upGrad Help You?  

Knowing the data science course eligibility helps you choose the right program and plan your career path. If you're looking to enhance your expertise in Data Science, upGrad offers a comprehensive range of courses designed to help you master the essential tools and techniques.  

upGrad’s Data Science courses cover everything from basic concepts to advanced techniques, providing you with the skills needed to analyze complex datasets, build predictive models, and derive actionable insights.   

These courses provide hands-on experience with popular tools and technologies like Python, R, SQL, and machine learning frameworks, preparing you to excel in the fast-growing field of data science.  

Popular Data Science Courses Offered by upGrad:  

• Post Graduate Certificate in Data Science & AI (Executive)  
• Master’s Degree in Artificial Intelligence and Data Science  
• Business Analytics Certification Programme  

Want to explore data science learning options with experts? Book a free counselling session with us and our career experts will help you gain valuable insights to take your career to a higher level. 

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