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M.Sc in Artificial Intelligence and Data Science
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What is the O.P. Jindal M.Sc in Artificial Intelligence and Data Science?
The O.P. Jindal Online M.Sc in Artificial Intelligence and Data Science program is designed to equip students with advanced Data Science, Machine Learning, Deep Learning, Big Data Analytics, Natural Language Processing, Computer Vision, and Advanced AI skills.
The curriculum covers more than 12 core courses and over 8 industry domains. Students can choose from 30+ real-world data challenge projects across domains, including Finance, BFSI, Retail, E-Commerce, Healthcare, Supply Chain & Manufacturing, Customer Service, Logistics & Operations, Marketing & Strategy, and Technology & Product Development.
The program is strengthened by world-class faculty and mentorship, featuring guidance from a Padma Shri awardee, ensuring a high-quality and industry-relevant learning experience.
O.P. Jindal Online M.Sc Course Fees in 2026
Total Tuition Fee
₹ 2,75,000/-
O.P. Jindal Recognition
The O.P. Jindal is recognised as an Institute of Eminence by MHRD, Government of India, under the UGC regulation 2017 for a private university. It ensures standards of excellence in research, education, and innovation. The university has also received the following recognitions:
AIU Certified
UGC-entitled
AACSB Accredited
Rankings of OP Jindal Online
Other Specializations
OP Jindal M.Sc in AI and Data Science: Eligibility Requirement
Educational Qualification
Candidates who have completed their undergraduate studies can enroll for the program.
Grades
A minimum of 50% marks in graduation is mandatory to be eligible.
Work Experience
For M.Sc in DS & AI, no prior work experience is required by the university.
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Verified UniversityOP Jindal M.Sc in AI and Data Science Syllabus
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Skills Gained through an M.Sc in AI and Data Science
The M.Sc in Artificial Intelligence and Data Science program is designed to equip learners with a strong blend of technical, analytical, and industry-relevant skills. The program builds solid foundations in data science, machine learning, and generative AI, while emphasising hands-on learning through real-world projects, case studies, and modern tools.
Develop proficiency in Python along with libraries like NumPy, Pandas, and SciPy for data analysis and machine learning.
Gain expertise in probability, statistics, and linear algebra to interpret data and build reliable models.
Learn to create impactful dashboards and insights using tools like Power BI, Tableau, and Excel.
Build, train, and optimise ML and deep learning models for real-world applications.
Work with advanced GenAI tools, including LLM fine-tuning and multimodal AI systems.
Develop skills in handling large-scale data and deploying solutions using modern cloud and data engineering tools.
O.P. Jindal Online Examination Process
The evaluation process is designed to assess both conceptual understanding and practical application of skills throughout the program. The evaluation process is divided into segments: internal and external exams.
50%
Internal Exams
Mid-term tests, class tests, research papers, essays, viva voce, class participation, and presentations are all part of the internal exams. This section carries 50% weightage in the final result. All the assessments are required to be submitted online through the O.P. Jindal student portal.
50%
External Exams
At the end of every semester, the university conducts final exams for each course. At least a 30% score must be obtained in all the courses to pass the semester. Term-end exams hold a total of 50% weightage in the final result.
O.P. Jindal: Financial Support
To support learners in managing program costs, O.P. Jindal Global University offers flexible payment options, including a 6-month no-cost EMI plan and standard EMI facilities. These options are enabled through third-party credit facilitators such as Fibe and Propelld, making it easier for participants to pursue the program without a significant upfront financial burden.
M.Sc in AI and Data Science: Career Opportunities
With strong foundations in machine learning, data analysis, and AI-driven problem-solving, learners are well-equipped to work in roles that involve building intelligent systems, deriving business insights, and managing data-driven solutions across industries such as technology, finance, healthcare, and consulting.
| Job Roles | Annual Average Salary |
|---|---|
| Data Scientist | ₹10,00,000 – ₹15,00,000 |
| Machine Learning Engineer | ₹9,00,000 – ₹13,00,000 |
| Data Analyst | ₹6,00,000 – ₹12,00,000 |
| Business Intelligence Analyst | ₹7,00,000 – ₹14,00,000 |
| AI Engineer | ₹10,00,000 – ₹15,00,000 |
| Data Engineer | ₹8,00,000 – ₹15,00,000 |
O.P. Jindal Placement & Career Support
Learners receive comprehensive career and placement support designed to enhance employability and professional growth. Participants also benefit from networking events, mock interviews, and continued post-program support. Additionally, an active discussion forum and access to a 12,000+ alumni network enable ongoing peer learning and collaboration.
Asian Paints
Myntra
Microsoft
Amazon
EY
Flipkart
Wipro
HDFC Bank
Accenture
Career Services
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1-to-1 Career Coaching
Offer personalised career coaching to help the students get their doubts resolved via bite-sized videos and templates.
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AI-Powered Profile Builder
Generate ATS-friendly resumes in minutes and boost your LinkedIn profile to stand out for the top roles.
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Integrated Job Portal
Get access to quality jobs listed on the best job portals to join your desired job quickly.
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High Impact Networking Events
Opportunities to network with leaders and alumni to learn about the latest trends, issues, and career options in the industry.
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Just-In-Time Interview Support
Engage in technical and HR mock interviews that will boost your confidence and ensure success in actual interviews.
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Post-Program Career Support
Continue to receive career support after program completion to stay opportunity-ready for up to six months.
O.P. Jindal Online Admission Process
The admission process for the M.Sc in Artificial Intelligence and Data Science is designed to be simple and accessible. Candidates can apply through the official website or seek guidance from CollegeSathi. The step-by-step process is as follows:
Register Online
Register and fill out a complete online application form through the official website.
Take on the Selection Test
If applicable, appear for the online entrance exam conducted for 30 minutes.
Shortlisting
The admission team will shortlist the candidates based on eligibility and entrance exam score.
Reserve Seat
Upon selection, pay the seat blocking fee of INR 10,000.
Frequently Asked Questions
Candidates must hold a bachelor’s degree in any discipline with a minimum of 50% aggregate from a recognised university. Those with less than 50% are required to take a 30-minute online entrance test after submitting their application.
This programme is ideal for individuals looking to build advanced AI and Data Science skills, professionals aiming to transition into tech roles, and candidates seeking to enhance their career prospects with a specialised master’s degree.
The programme combines recorded learning content with live sessions, focusing on real-world case studies and practical applications.
Participants will develop expertise in Data Science, Machine Learning, Deep Learning, Big Data Analytics, Natural Language Processing, Computer Vision, and Advanced AI.
Learners gain hands-on experience with tools such as Python, SQL, TensorFlow, Keras, Power BI, and Tableau, along with building machine learning and AI models.
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