
Admission Open for 2025
Application Deadline: 15th September 2025
*For Indian Students Only
POSTGRADUATE
Master of Science (Artificial Intelligence and Machine Learning)
School of Sciences
Course Duration
2 years (4 Sem)
Mode
Online (Live + Recorded)
Course Fee
INR 2,75,000.00
Journey of Excellence
Machines are gaining more intelligence to perform human-like tasks. Artificial Intelligence has spanned across the world irrespective of domains. MSc (Artificial Intelligence and Machine Learning) will enable to capitalise this wide spectrum of opportunities to the candidates who aspire to master the skill sets with a research bent. The curriculum supports the students to obtain adequate knowledge in the theory of intelligence with hands-on experience in relevant domains with tools and techniques to address the latest demands from the industry.
It comprises foundational courses from computer Science and advanced courses in the area of Artificial Intelligence and Machine Learning including Natural Language Processing, Deep Learning, Image processing, Soft Computing and IIoT. Research labs, guest lectures, Seminars, practical courses on latest tools, real time application development, multiple elective streams from specialised domains and interdisciplinary are an integral part of the curriculum. Exposure to handle the complex heterogeneous data to solve societal problems is the most preferred skill set required today.

Eligibility Criteria
-
Candidates having 50% marks in any recognized university in India or Abroad recognized by UGC / AIU in any of the following UG degree:
Bachelor of Computer Applications
Bachelor degree in Science / Engineering with any of the following
1) Computer Science
2) Information Technology
3) Computer Technology
4) Data Science
5) Mathematics with Computer Science -
Studying Mathematics and Statistics in the UG degree is a mandatory requirement for admission.
-
Candidates writing their final year examinations in March-June 2025 are eligible to apply.
-
Students pursuing International curriculum must note that eligibility is according to AIU stipulations.


Christ
Online

Course Curriculum
An online course curriculum is a simple plan for what students will learn in an online class. It has lessons, exercises, and quizzes to help with learning. Students can study anytime while following clear goals.
Semester 1
- Computational Mathematics - I
- Statistical Foundations for Artificial
- Intelligence
- Artificial Intelligence
- Machine Learning
- Advanced Database Technologies
- Full Stack Development
Semester 2
- Data Structures and Algorithms
- Computational Mathematics - II
- Java Programming
- Deep Learning
- Natural Language Processing
- MODULES
Semester 3
- AI in Cyber Security
- AI in Cognitive Sciences
- Augmented Reality and Virtual Reality
- Cyber Forensics
- Research Methods and Publication
- Computer Vision
- Large Language Models
- Cloud Infrastructure for AI
Semester 4
- Internet of Things
- Big Data Analytics
- Quantum Computing
- Adversarial Machine Learning
- Business Intelligence
- Spatial Temporal Analysis
- Deep Reinforcement Learning
- MLOps
- Modern Optimization Techniques
- Graph Neural Networks
- Project
Offered Programmes
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Meet Our Expert Faculty
Learn from skilled professionals who bring real experience and knowledge to help you succeed.

Dr AKSHITA SHARMA
Specialization: Reliability Theory
Dr. Akshita Sharma is a committed academician and researcher. She holds an MSc i... Read More

Dr BHUVANA JAYABALAN
Specialization: Computer Science
Dr. Bhuvana Jayabalan is an esteemed academician and researcher in computer scie... Read More

Dr CYNTHIA T
Specialization: Computer Science
Dr. Cynthia T is an Assistant Professor in the Department of Computer Science at... Read More

Dr JAMES JOSEPH
Specialization: Mathematics
Dr. James Joseph is a graduate in Mathematics from Christ University, Bangalore.... Read More

Dr JINNY ANN JOHN
Specialization: Mathematics
Ms. Jinny Ann John completed her undergraduate studies at St. George's College, ... Read More


Dr NIZAR BANU P K
Specialization: Computer Science
Dr. Nizar Banu P K, a distinguished computer science expert, holds a master's fr... Read More

Dr SUDHAKAR T
Specialization: Computer Science
Dr. Sudhakar T serves as an Assistant Professor in the Department of Computer Sc... Read More

Dr SURABHI SAXENA
Specialization: Software Enginnering And Fuzzy Logic
Dr. Surabhi Saxena holds masters degrees, including an MCA from Rajasthan Techni... Read More

Dr THIRUNAVUKKARASU V
Specialization: Computer Science
Dr. Thirunavukkarasu V serves as an Assistant Professor in the Computer Science ... Read More

Application Process for Master of Science (Artificial Intelligence and Machine Learning)
Register once to apply for multiple programs with the same ID.
- Fill in your details: Enter your name, email, mobile number, state, city, programme, course, and captcha. Verify your details before submitting. Click 'Register' to complete.
- Validate Email: You will receive a validation email. Check your inbox or spam folder, enter the OTP, and click 'Proceed'. If needed, click 'Resend Verification Email'.
- Login with your credentials: Use your registered email ID and password to log in. Enter them correctly in the respective fields.
- Click on the Login button: After entering your details, click on the 'Login' button.
- Forgot password: If you forgot your password, click on the 'Forgot Password' button and follow the necessary steps to reset it.
- Select the program and campus to which you want to apply. Ensure all data is correct before proceeding, as it cannot be edited later.
- Upload a formal photo (3.5 cm x 4.5 cm with white background, max 100 kb). Photos with other backgrounds or taken with mobile devices will result in rejection.
- Fill in personal, educational, and parent/guardian details. Upload clear scanned copies of class 10 and class 11 final report or class 12 Board result.
- Preview and ensure the accuracy of all information before submitting.
- Select the date and centre for the selection process. Refer to the Important Dates section before making a selection.
- Payment Methods: Net Banking, Credit Card, Debit Card, or UPI.
- Non-Refundable: The application fee is non-refundable once the application number is generated.
- Payment Failure: In case of payment failure, the amount will be refunded within 15 business days.
- Printing the Application: A copy of the application can be printed anytime until the selection process is completed.
Why choose this course?
- Cutting-edge curriculum in AI and ML technologies
- Hands-on experience with real-world AI projects
- Training in deep learning, NLP, and computer vision
- Opportunities for internships and industry collaborations
- Skills for high-demand careers in the global tech market
What you will learn?
- Machine learning algorithms and model deployment
- Deep learning and neural network architectures
- Natural language processing and speech recognition
- Computer vision and image processing techniques
- AI ethics, governance, and responsible innovation
Career prospects
- AI engineer, ML specialist, or automation expert
- Computer vision engineer or NLP developer
- Data scientist or AI solutions architect
- Academic, research scholar, or AI technology author
- AI consultant for industry-specific applications
- Opportunities in tech giants, startups, and R&D lab
How We Help You Build Your Dream Career

AI Engineer
- Designing and developing intelligent systems and applications
- Gaining hands-on experience with deep learning and NLP models
- Exploring roles in robotics, automation, and smart technologies

Machine Learning Specialist
- Building scalable ML models for predictions and recommendations
- Mastering algorithms, model optimization, and real-time deployment
- Exploring opportunities in fintech, healthcare, and ecommerce sectors

Computer Vision Engineer
- Working on image recognition, object detection, and video analytics
- Learning OpenCV, CNNs, and real-time visual data processing
- Exploring roles in autonomous systems, surveillance, and AR/VR

AI Research Scientist
- Conducting advanced research in AI, ethics, and emerging technologies
- Publishing in academic journals and contributing to innovation
- Exploring careers in R&D labs, academia, and research institutions
Admission Queries
CHRIST (Deemed to be University) Online Programmes
Email: onlinedegrees@christuniversity.in
Phone: +91 080-48674444
Get more information
CHRIST
(Deemed to be University)
Dharmaram College Post, Hosur Road, Bengaluru - 560029,Karnataka, India
Tel: +91 080-48674444
Email: onlinedegrees@christuniversity.in
Official Web: https://www.christuniversity.in
Vision
EXCELLENCE AND SERVICE
Mission
CHRIST (Deemed to be University) is a nurturing ground for an individual's holistic development to make effective contribution to the society in a dynamic environment.
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