SRM University Diploma in Data Science and Machine Learning
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About the SRM Diploma in Data Science and Machine Learning
The SRM Online Diploma in Data Science and Machine Learning is designed for learners who want a solid foundation in data analysis, predictive modelling, and machine learning techniques. This online diploma integrates theoretical concepts with practical exposure to help students build job-ready skills for careers in analytics and AI-based environments.
This SRM University Online Diploma Program is ideal for learners, beginners, and employed professionals who want to transition into data-focused roles or improve their technical skills with industry-standard tools.
Updated SRM Diploma in Data Science and Machine Learning Fee 2026
Semester-Wise Fee
₹ 18,000/-
Approvals and Recognitions of SRM Online
SRM Online has various national and international approvals, offering credibility and assurance that your diploma degree will be accepted. These recognitions add to the value of your qualification when seeking employment or higher study in India or abroad.
SRM University Rankings
Other Courses
Who can apply for the SRM University Diploma in Data Science and Machine Learning?
Educational Qualification
Candidates must pass 10+2 or have an equivalent degree in any area from an accredited Institution or NIOS.
Grades
To be eligible for admission to the Diploma in Data Science and Machine Learning, applicants must have obtained a minimum of 50% in their qualifying examination.
Work Experience
Work experience is not required for the program. Both fresh graduates and working professionals can apply based on their academic qualifications.
SRM Online Diploma in Data Science and Machine Learning: Syllabus
SRM Online Sample Certificate


Skills Gained Through Diploma in Data Science and Machine Learning
The SRM Online Diploma in data science and ML will help you gain core technical and analytical skills necessary in today's data-centric work environment. SRM University allows you to apply these skills confidently, whether you need to interpret data, build models, or assess data-driven insights.

Learn Python programming for data analysis and basic machine learning tasks

Work on data pre-processing including cleaning, transforming, and preparing datasets

Apply statistical analysis to identify patterns and support decision-making

Gain understanding of machine learning basics using real-world datasets

Create data visualisations using charts, dashboards, and reporting tools

Develop problem-solving and analytical thinking skills for data-driven insights
Examination Pattern followed by SRM Online
The SRM Online Diploma exam structure is fair and transparent. Students are assessed with both internal assessments and final examinations that evaluate their ability to understand and use applied skills.
30%
Continuous Assessments
Continuous or internal assessments take place throughout the course and comprise 30 marks. It covers assignments, quizzes, online presentations, case studies, projects, webinars and other online group activities.
70%
External Examination
The end-of-term or external exam takes place at the end of the semester and comprises 70 marks, divided into three segments. Part A covers objective-type questions, Part B comprises short-answer type questions, and the last segment covers descriptive questions.
Career Prospects After the SRM Diploma in Data Science and Machine Learning
Graduates of the SRM Diploma Program in data science and machine learning will be eligible for entry-level or junior roles in the data and analytics industry. Entry-level roles typically provide strong career advancement, especially in the fields of IT, technology, finance, and consulting.
| Job Roles | Annual Average Salary |
|---|---|
| Data Analyst | ₹3,00,000–₹5,00,000 |
| Machine Learning Assistant | ₹3,20,000–₹4,80,000 |
| Business Intelligence Trainee | ₹2,80,000–₹4,50,000 |
| Data Technician | ₹2,50,000–₹4,00,000 |
| Junior Data Scientist | ₹4,00,000–₹6,00,000 |
Placement Partners of SRM Online University
As a part of SRM Online, you will find placements or internships after your online data science and machine learning diploma program. You will benefit from live interaction with a strong company network that supports internships, job referrals, or career information.
Career Services
Admission Process: SRM University Diploma in Data Science and Machine Learning
The SRM University Online admissions process is easy and fully digital. Students can apply from anywhere in the world and can also connect with Collegesathi for a smooth admission process.
Application Submission with Documents
Go to the SRM Online portal, apply for admission, and upload documents with clear, appropriate details as recognised by the system.
Selection Process
The university will verify eligibility and conduct the entrance exam or interview. For working professionals, eligibility will be checked based on your experience certificate.
Intimation and Fee Payment
If shortlisted, you will be contacted by the institution and will only be eligible to proceed with the program of your choice by completing your fee payment.
Enrol in the program
After payment of the fee, you will be formally enrolled in the online program at SRM Institute of Science and Technology Online.
Frequently Asked Questions
Yes, the online diploma in data science and machine learning at SRM is UGC-entitled, and is accredited with NAAC A++ rating, and ranked 11th nationally by NIRF in 2025.
You only need a 10+2 or equivalent qualification from NIOS or a recognised university, with a minimum of 50% marks. There is no need for any technical study.
The fee for the Online diploma in data science and machine learning at SRM University is INR 18,000 per semester. The program is affordable compared to other online certification programs.
With this SRM online diploma degree in Data Science and Machine Learning, you may work as a data analyst, ML assistant, BI trainee, junior data scientist, or data technician across industries.
The exams are completely online and proctored, and include internal assessments and a final exam that covers objective, short and long answer approaches to track your learning.

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