Master of Science (Artificial Intelligence and Machine Learning)
CHRIST (Deemed to be University)
- Duration
2 Years
(4 Sem) - Mode
Online
(Live + Recorded) - Commencement Date
Currently Open
- Admission Closure Date
Closing Soon
Programme Overview
Rooted in the legacy of CHRIST (Deemed to be University), this MSc in AI and Machine Learning is a premier postgraduate programme offering advanced academic knowledge in data analytics, algorithms, and intelligent systems. As a comprehensive online MSc course, it provides flexible, self-paced learning tailored for students and working professionals, requiring no in-person labs. The research-aligned curriculum ensures you master modern computational approaches. By enrolling in this online MSc in AI and Machine Learning, learners develop the critical thinking and analytical skills required to evaluate models, implement complex algorithms, and address the evolving challenges of the AI landscape.
Admission Criteria
Eligibility Criteria
Candidates must have secured a minimum of 50% marks from any recognised university in India or abroad (recognised by UGC / AIU) in any of the following Undergraduate Degrees.
- Bachelor of Computer Applications.
- Bachelor’s degree in science / engineering with any of the following specializations:
1. Computer Science
2. Information Technology
3. Computer Technology
4. Data Science
5. Mathematics with Computer Science - Studying Mathematics and Statistics at the undergraduate level is a mandatory requirement for admission.
- Candidates writing their final year examinations (March-May 2025) are eligible to apply.
Why Enroll in this Programme?
- Disciplinary Expertise: Gain advanced knowledge to innovate and solve complex scientific problems.
- Critical Thinking and Problem Solving: Develop analytical and problem-solving skills to address complex real-world challenges objectively.
- Research Skills: Build independent research skills with scientific integrity to advance knowledge and innovation.
- Professional Skills: Strengthen science communication, sustainable technology use, ethics, and collaboration for global academic and professional roles.
- Scientific Social Responsibility: Promote environmental sustainability, cultural diversity, and inclusivity for societal betterment
Key Learning Outcomes
Advanced Knowledge Applications: Apply advanced concepts to design intelligent systems for complex real-world problems.
Critical Thinking and Optimization: Use critical thinking and analytical reasoning to solve real-world challenges.
Research and Innovation: Conduct independent research with scientific integrity.
Professional and Ethical Conduct: Uphold ethical and professional standards, ensuring fairness, accountability, transparency, effective communication, and teamwork.
Societal and Environmental Impact: Develop sustainable solutions for social, economic, and environmental challenges, promoting inclusivity, diversity, and responsible deployment.
Top Recruiter Companies
About CHRIST University
A Legacy of Excellence. A Future of Possibilities.
Established in 1969, CHRIST (Deemed to be University) is a renowned institution committed to academic excellence, innovative learning, and holistic education. Accredited with an A+ grade by NAAC and recognised by the UGC as an Institution with Potential for Excellence, CHRIST offers a diverse range of undergraduate, postgraduate, and doctoral programmes.
With campuses in Bengaluru, Pune Lavasa, and Delhi NCR, the University brings together a vibrant and diverse community of learners from across India and more than 77 countries. With a strong focus on education, research, and cultural engagement, CHRIST continues to nurture future-ready professionals and empower students to pursue their academic and career aspirations.
Admission Process
- 1
Eligibility of Applicant
- 2
Application Submission
- 3
Screening & Shortlisting
- 4
Admission & Fee Payment
- 5
Book your Seat
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Programme Content
- Computational Mathematics – I
- Statistical Foundations for Artificial Intelligence
- Artificial Intelligence
- Machine Learning
- Advanced Database Technologies
- Full Stack Development
- Data Structures and Algorithms
- Computational Mathematics – II
- Java Programming
- Deep Learning
- Natural Language Processing
Elective 1 (Choose one)
- AI in Cyber Security
- AI in Cognitive Sciences
Elective 2 (Choose one)
- Augmented Reality and Virtual Reality
- Cyber Forensics
- Research Methods and Publication
- Computer Vision
- Large Language Models
- Cloud Infrastructure for AI
Internet of Things
Big Data Analytics
Elective 1 (Choose one)
- Quantum Computing
- Adversarial Machine Learning
- Business Intelligence
Elective 2 (Choose one)
- Spatial Temporal Analysis
- Deep Reinforcement Learning
- MLOps
Elective 3 (Choose one)
- Modern Optimization Techniques
- Graph Neural Networks
Project
Programme Fee Structure
| Student Category | 1st Year | 2nd Year | Total Fee |
|---|---|---|---|
| Indian Students | INR 1,30,625 | INR 1,44,375 | INR 2,75,000 |
| International Students | $ 2360 | $ 2610 | $ 4970 |
| Administrative and Examination Fees | Indian Students | International Students |
|---|---|---|
| Application Fees | INR 1,500 + GST (Non-refundable) | $ 20 One-time (Non-refundable) |
| Admission Process Fees | INR 5,000 (Non-refundable) | $ 60 One-time (Non-refundable) |
| Examination Fees | INR 3,000 per year | $ 50 per year |
*Flexible EMI options are available for tuition fee payments. Choose a convenient installment plan at checkout to manage your fees with ease.
Know The Facilitators
Examination and Certification Criteria
- Learners are assessed through Continuous Internal Assessment (CIA) and a proctored End Semester Examination (ESE), weighted 30% and 70%, respectively.
- A minimum of 50% aggregate (CIA + ESE), with at least 40% in ESE, is required to pass each course.
- Upon successful completion, learners will be awarded a Postgraduate Degree in Artificial Intelligence and Machine Learning by CHRIST (Deemed to be University).
The Jaro Advantage
Personalized Learning Support
- Career Acceleration: Get unmatched career guidance, resume-building workshops, and 1:1 mentorship to fast-track your professional growth.
- 24/7 Student Support: Dedicated assistance at every step—from enrollment to graduation.
- Future-Ready Learning: Engage in immersive, industry-aligned programs designed for lifelong career relevance.
Expert-Led Doubt Resolution
- Learn from the Best: Access mentorship from top-tier faculty and industry leaders.
- Collaborative Learning: Join dynamic discussion forums and peer-to-peer networks for deeper insights.
- Real-World Problem Solving: Apply knowledge through case studies and interactive sessions.
Powerful Global Networking
- Elite Alumni Community: Connect with 350,000+ professionals worldwide for career opportunities and collaborations.
- Exclusive Events: Attend global webinars, networking meetups, and industry talks.
- Lifelong Access: Stay updated with cutting-edge trends and alumni benefits long after graduation.
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Start Referring Today! Start Referring Today!Frequently Asked Questions
The MSc (Artificial Intelligence and Machine Learning) programme follows a balanced assessment approach that includes Continuous Internal Assessment (CIA) and the End Semester Examination (ESE). CIA carries 30% of the total weightage, while the proctored ESE accounts for the remaining 70%. To successfully complete each course, learners must achieve an overall aggregate of at least 50%, along with a minimum score of 40% in the ESE component.
The MSc in AI and Machine Learning is suitable for graduates who want to build advanced knowledge and practical skills in artificial intelligence, machine learning, and related technologies. It can be a valuable choice for learners from computer science, information technology, mathematics, engineering, data science, and other relevant academic backgrounds, subject to the programme’s eligibility requirements.
An MSc in AI and Machine Learning can help learners develop technical and analytical skills relevant to modern AI roles. These may include machine learning model development, data analysis, deep learning, natural language processing, AI system deployment, and problem-solving. Learners can also gain exposure to applying AI technologies to practical industry use cases.