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OP Jindal Online M.Sc Artificial Intelligence & Data Science 2026: Fees & Helpline Number

VIGYAT Kumar

October 6, 2026

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Artificial Intelligence and Data Science have become two of the most important technology-driven fields in the modern job market. Organisations across technology, finance, healthcare, consulting, retail, manufacturing and other industries are increasingly using data, machine learning and artificial intelligence to make better decisions and automate complex processes.

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For graduates and working professionals who want to build advanced skills in these areas, the OP Jindal Online M.Sc Artificial Intelligence & Data Science 2026 is an important postgraduate programme to consider.

The programme is offered through the Jindal Centre for Digital Sciences (JCDS) at O.P. Jindal Global University. The current programme information describes it as a one-year M.Sc. in Artificial Intelligence & Data Science, designed for learners from different academic backgrounds, including candidates who may not have prior experience in advanced mathematics or programming. The programme combines data science, artificial intelligence, machine learning, Python, data visualisation, big data analytics and research-oriented learning.

The currently published programme information lists the total tuition fee at ₹3,00,000. The latest programme page currently shows a March 2027 commencement, so students considering admission during 2026 should verify the applicable intake and payment schedule before completing admission formalities.

This detailed guide covers OP Jindal Online M.Sc Artificial Intelligence & Data Science fees, eligibility, duration, syllabus, admission process, career opportunities, programme benefits and admission helpline number.

OP Jindal Online M.Sc AI & Data Science 2026 – Highlights

The programme is listed among JGU’s online programmes, while the programme page describes the M.Sc. as a one-year postgraduate programme designed to accommodate learners from diverse backgrounds.

What is OP Jindal Online M.Sc Artificial Intelligence & Data Science?

The OP Jindal Online M.Sc Artificial Intelligence & Data Science is a postgraduate programme designed to help students develop knowledge and practical capabilities in artificial intelligence, data science and machine learning.

The programme focuses on the growing relationship between data and intelligent technologies. Students can develop an understanding of how data is collected, processed, analysed and converted into meaningful insights.

The curriculum includes subjects and areas such as:

• Probability and Statistics for Data Science
• Linear Algebra for Data Science
• Python Programming
• Data Visualisation
• Machine Learning
• Neural Networks
• Big Data Analytics
• Data Analytics
• Data Storytelling
• Advanced Machine Learning Algorithms
• Power BI
• Research and Capstone Projects

The programme is designed to provide both foundational knowledge and advanced skills, making it relevant to students who want to move towards careers in AI, data science, analytics and machine learning.

Why Choose OP Jindal Online M.Sc AI & Data Science in 2026?

Artificial Intelligence is changing the way organisations operate. At the same time, businesses are collecting enormous quantities of information from customers, transactions, websites, applications and digital platforms.

This creates a strong requirement for professionals who can understand both data and intelligent technologies.

An M.Sc. in Artificial Intelligence & Data Science can help students develop knowledge in areas such as:

• Artificial Intelligence
• Machine Learning
• Data Analytics
• Big Data
• Python
• Data Visualisation
• Neural Networks
• Business Intelligence
• Predictive Analytics
• Research and Data Interpretation

The JGU programme also emphasises practical, industry-relevant learning, projects and applications of AI and data science.

OP Jindal Online M.Sc AI & Data Science Fees 2026

The currently published total tuition fee for the programme is:

₹3,00,000 Total Tuition Fee

The listed payment structure is:

According to the currently published fee schedule, the registration amount is payable upon acceptance of the offer, followed by subsequent instalments around the programme commencement and later stages of the programme.

Students should confirm the applicable fee schedule for their specific 2026 admission cycle before making payment because admission schedules and fee deadlines can change.

OP Jindal Online M.Sc AI & Data Science Eligibility 2026

One of the important features of this programme is its accessibility to students from different academic backgrounds.

The programme information states that it is suitable for graduates in STEM fields as well as graduates from commerce, humanities and social sciences who want to transition into AI and data science.

A prior programming or advanced mathematics background is not mandatory according to the programme information.

Basic eligibility

Candidates should have:

• A bachelor’s degree or equivalent qualification
• Graduation from a recognised university or institution
• Interest in artificial intelligence and data science
• Willingness to learn programming and analytical concepts

The programme is therefore particularly relevant for graduates who want to move from a non-technical academic background into technology-oriented careers.

Is Programming Knowledge Required?

A common question among students is whether they need to know programming before joining an M.Sc. in Artificial Intelligence & Data Science.

The current programme information specifically indicates that students do not need prior experience in programming or advanced mathematics. The curriculum is designed to provide foundational knowledge and help learners transition into AI and data science.

However, students who already have basic knowledge of:

• Python
• Mathematics
• Statistics
• SQL
• Data analysis

may find it easier to progress through certain technical concepts.

Students without a technical background should not be discouraged. Consistent practice and a willingness to learn are more important.

OP Jindal Online M.Sc AI & Data Science Duration

The programme is structured as a:

1-Year Postgraduate Programme

The curriculum is divided into three trimesters and includes core subjects, electives and a research dissertation/capstone project.

Each trimester carries 20 credits, giving the programme a structured academic progression from fundamentals to advanced applications and project-based learning.

OP Jindal Online M.Sc AI & Data Science Syllabus 2026

The syllabus combines mathematical foundations, programming, data analysis, machine learning and advanced AI concepts.

Trimester 1

The first trimester establishes the foundation required for data science.

Subjects include:

• Probability and Statistics for Data Science
• Linear Algebra for Data Science
• Python Programming for Data Science and Machine Learning
• Understanding Data and Data Visualisation
• Elective 1

This stage helps students develop the quantitative and programming foundations needed for later machine-learning subjects.

Trimester 2

The second trimester focuses more heavily on machine learning and data analytics.

Subjects include:

• Machine Learning Principles I
• Machine Learning Principles II – Neural Networks
• Generating Insights from Big Data
• Mastering Data Analytics, Visualisation and Storytelling
• Elective 2

Students can begin moving from basic data handling towards machine-learning concepts and advanced analytical thinking.

Trimester 3

The final trimester focuses on electives and research-oriented learning.

It includes:

• Elective 3
• Elective 4
• Research Dissertation / Capstone Project

The dissertation or capstone project provides an opportunity to apply the knowledge developed throughout the programme to a substantial research or practical problem.

Elective Subjects

Students can explore several specialised areas through electives.

The currently published programme structure includes options such as:

• Data Storytelling
• Python for Data Science
• Advanced Machine Learning Algorithms
• Human Decision Making and its Biases
• Structured Approach to Problem Solving
• Foundations of Machine Learning
• Insights of Power BI
• Data Analysis Using SQL

These electives can help students develop additional technical, analytical and business-oriented capabilities.

Skills You Can Develop Through the Programme

An M.Sc. in Artificial Intelligence & Data Science is not limited to theoretical concepts. Students can work towards developing a combination of technical, analytical and problem-solving skills.

1. Python Programming

Python is one of the most widely used programming languages in data science and machine learning.

Students can develop Python skills for:

• Data analysis
• Data processing
• Machine learning
• Automation
• Statistical analysis

2. Machine Learning

Machine learning enables computer systems to identify patterns and make predictions using data.

Students can explore:

• Machine-learning principles
• Neural networks
• Predictive modelling
• Advanced algorithms

3. Data Analytics

Data analytics helps organisations convert raw information into meaningful insights.

Students can learn to:

• Analyse datasets
• Identify patterns
• Interpret trends
• Present insights
• Support data-driven decisions

4. Data Visualisation

Visualisation helps communicate complex information in an understandable format.

Students can develop knowledge of:

• Charts
• Dashboards
• Visual storytelling
• Data presentation
• Business intelligence tools

5. Big Data

Modern organisations generate massive amounts of information.

Understanding big-data concepts can help students work with larger and more complex datasets.

Career Opportunities After M.Sc Artificial Intelligence & Data Science

Artificial Intelligence and Data Science are used across many industries.

After completing the programme and developing relevant practical skills, graduates can explore career opportunities such as:

Data Scientist

Data scientists analyse large datasets and develop models to support business decisions.

Machine Learning Engineer

Machine learning engineers work on systems that learn from data and generate predictions or intelligent outputs.

Data Analyst

Data analysts examine datasets and create insights that can help organisations make better decisions.

AI Specialist

AI specialists work with artificial intelligence applications and intelligent systems.

Business Intelligence Analyst

BI professionals transform organisational data into reports, dashboards and actionable insights.

Data Consultant

Data consultants help organisations understand how analytics and data technologies can improve business performance.

AI Researcher

Students interested in research can explore academic and industrial research opportunities in artificial intelligence and machine learning.

Big Data Analyst

Professionals in this field work with large datasets and analytical technologies.

The programme itself identifies career directions including AI development, data science, machine learning engineering and business analytics.

Industries Where AI & Data Science Professionals Can Work

The career scope of AI and Data Science extends beyond the technology sector.

Graduates can explore opportunities in:

• Information Technology
• Banking
• Financial Services
• Healthcare
• Consulting
• E-commerce
• Retail
• Manufacturing
• Telecommunications
• Education
• Media
• Logistics
• Automotive
• Government and public services

Almost every data-driven industry requires professionals who can understand and work with information.

OP Jindal Online M.Sc AI & Data Science for Working Professionals

The programme can also be relevant to working professionals who want to transition into AI and data science.

Professionals from areas such as:

• Business
• Finance
• Marketing
• Operations
• Consulting
• Education
• Management
• IT
• Research

may consider developing AI and data science skills to improve their career prospects.

The programme is designed for learners from different academic backgrounds, including professionals seeking career advancement or a transition into data science and AI-focused careers.

Can Non-Technical Students Study M.Sc AI & Data Science?

Yes.

One of the notable features of the programme is its focus on accessibility for learners from diverse educational backgrounds.

Students from commerce, humanities or social sciences can consider the programme if they want to transition into technology-driven careers.

However, students should be prepared to learn quantitative concepts, programming and analytical methods during the programme.

A non-technical background should not be considered a permanent barrier to entering data science, but students need to dedicate time to developing technical skills.

Importance of Python in AI & Data Science

Python is one of the most important skills for students entering data science and machine learning.

Python can be used for:

• Data cleaning
• Data analysis
• Visualisation
• Machine learning
• Automation
• Statistical computing
• AI applications

The OP Jindal programme includes Python Programming for Data Science and Machine Learning as part of its curriculum.

Students should therefore practise Python regularly throughout the programme.

Importance of Machine Learning

Machine learning is a major component of modern artificial intelligence.

Instead of programming every possible rule manually, machine-learning systems can learn patterns from data and use those patterns to generate predictions or classifications.

Applications include:

• Fraud detection
• Recommendation systems
• Customer analytics
• Demand forecasting
• Image recognition
• Natural-language processing
• Predictive maintenance
• Financial forecasting

The programme includes Machine Learning Principles I and II, with the second component covering neural networks.

Research and Capstone Project

A major part of the final trimester is the Research Dissertation/Capstone Project.

This provides students with an opportunity to work on a substantial problem and apply concepts learned during the programme.

Possible project areas could include:

• Predictive analytics
• Customer segmentation
• Fraud detection
• Financial data analysis
• Healthcare analytics
• Recommendation systems
• Machine-learning models
• Business intelligence
• Natural-language applications

A strong project can also become an important addition to a student’s professional portfolio.

Why Data Science Skills Are Important in 2026

Businesses are increasingly becoming data-driven.

Instead of making decisions only through intuition, organisations now use:

• Customer data
• Market data
• Financial data
• Operational data
• Web analytics
• Machine-learning models
• Predictive analytics
• Business intelligence dashboards

This creates opportunities for professionals who understand how to work with data and communicate analytical insights.

At the same time, AI is rapidly becoming part of everyday business operations. This makes the combination of Artificial Intelligence + Data Science highly relevant for students planning long-term technology careers.

OP Jindal M.Sc AI & Data Science vs Traditional M.Sc

A traditional M.Sc. may focus on a particular academic discipline, while an AI and Data Science programme combines several technology-oriented areas.

Students interested in technology-driven careers may therefore prefer an interdisciplinary programme such as AI and Data Science.

Admission Process for OP Jindal Online M.Sc AI & Data Science

Students interested in admission should generally follow the programme’s application and selection requirements.

Step 1: Check Eligibility

First, confirm that you have completed the required bachelor’s degree or equivalent qualification.

Step 2: Submit Application

Complete the programme application with the required academic and personal information.

Step 3: Review Admission Requirements

Applicants should review the latest programme requirements and provide any documents requested during the admission process.

Step 4: Complete the Selection Formalities

Candidates should follow the applicable selection and admission instructions provided for their intake.

Step 5: Accept the Offer

Selected candidates can proceed with the required acceptance and registration formalities.

Step 6: Pay the Applicable Fee

After accepting the offer, students can follow the prescribed fee schedule.

Because the current programme page shows a March 2027 commencement, students applying during 2026 should confirm the intake and applicable deadlines before making their final payment.

Documents Required for Admission

Students should generally keep the following documents ready:

• Class 10 certificate
• Class 12 certificate
• Graduation marksheets
• Graduation degree/provisional certificate
• Government-issued ID
• Passport-size photograph
• Address proof, if required
• Other documents specified during the application process

International applicants may have additional documentation requirements.

Advantages of Studying Artificial Intelligence & Data Science

Future-Oriented Skills

AI and data science are rapidly evolving fields with applications across industries.

Interdisciplinary Learning

Students learn programming, statistics, machine learning, analytics and AI together.

Suitable for Career Transition

The programme can help graduates from different academic backgrounds move toward technology careers.

Practical Learning

Projects, analytics activities and a capstone component can help students connect theory with practical applications.

Multiple Career Paths

Graduates can explore data science, AI, analytics, machine learning and business intelligence roles.

How to Prepare for a Data Science Career

Students should not depend only on their degree. Building practical skills is equally important.

Learn Python

Practise Python regularly and build small data-analysis projects.

Learn SQL

SQL is highly useful for working with databases and extracting information.

Practise Statistics

Understand probability, distributions, correlation, regression and statistical testing.

Build Machine Learning Projects

Start with simple models before progressing towards advanced algorithms.

Learn Data Visualisation

Practise creating dashboards and presenting data clearly.

Create a Portfolio

Upload projects to a professional portfolio or code repository so employers can evaluate your skills.

Improve Communication

A data scientist needs to explain technical results to non-technical decision-makers.

OP Jindal Online M.Sc AI & Data Science Admission Helpline

Students who want assistance regarding the programme can contact the admission assistance helpline:

7973104914

The helpline can be used for guidance regarding:

• Admission
• Eligibility
• Fees
• Programme duration
• Application process
• Course structure
• Documents
• Intake information
• Career scope

Admission Helpline: 7973104914

Frequently Asked Questions

1. What is the duration of OP Jindal M.Sc Artificial Intelligence & Data Science?

The programme is structured as a one-year postgraduate programme.

2. What is the total fee for OP Jindal M.Sc AI & Data Science?

The currently published total tuition fee is ₹3,00,000.

3. Who can apply for the M.Sc AI & Data Science?

Graduates from different academic backgrounds can consider the programme. The programme information specifically mentions STEM as well as commerce, humanities and social-science graduates.

4. Is a programming background mandatory?

No. The current programme information states that prior programming experience is not required.

5. Is a mathematics background required?

Advanced mathematics experience is not mandatory according to the current programme information. The curriculum nevertheless includes statistics and linear algebra, so students should be prepared to learn quantitative concepts.

6. What programming language is taught?

The curriculum includes Python Programming for Data Science and Machine Learning.

7. Does the programme include Machine Learning?

Yes. The curriculum includes Machine Learning Principles I and Machine Learning Principles II, including neural networks.

8. Does the programme include a project?

Yes. The third trimester includes a Research Dissertation/Capstone Project.

9. What are the career opportunities after M.Sc AI & Data Science?

Graduates can explore careers such as data scientist, data analyst, machine-learning professional, AI specialist, business intelligence analyst and data consultant, depending on their skills and experience.

10. Is the programme suitable for working professionals?

The programme is designed to accommodate learners from diverse backgrounds and includes professionals seeking career advancement or transition into AI and data science.

11. What is the admission helpline number?

The admission assistance helpline for this campaign is:

7973104914

12. When does the current programme commence?

The latest programme information currently lists March 2027 as the commencement date. Students seeking admission during the 2026 cycle should confirm the applicable intake before enrolling.

Final Conclusion

The OP Jindal Online M.Sc Artificial Intelligence & Data Science 2026 is a future-focused postgraduate programme for graduates who want to build skills in Artificial Intelligence, Data Science, Machine Learning, Python, Big Data Analytics and Data Visualisation.

With a one-year duration and a currently published total tuition fee of ₹3,00,000, the programme offers an interdisciplinary pathway for graduates from both technical and non-technical backgrounds. The curriculum covers foundational statistics and programming as well as machine learning, neural networks, big data, analytics, visualisation and a final research dissertation or capstone project.

Students planning careers in AI, Data Science, Machine Learning, Business Analytics, Data Analysis and technology-driven industries can consider this programme as part of their career development strategy.

However, students should remember that completing the degree is only one part of becoming a successful AI or data science professional. Building practical projects, learning Python and SQL, understanding statistics, developing machine-learning skills and creating a strong portfolio can significantly strengthen career opportunities.

OP Jindal Online M.Sc AI & Data Science Admission Helpline

📞 7973104914