Postgraduate Programme

Master of Science (Artificial Intelligence and Machine Learning)

School of Sciences
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Master of Science (Artificial Intelligence and Machine Learning)

  • Duration 2 Years
  • Semester 4

Total Fee: 2,75,000 INR

Overview

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.

Syllabus

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
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

Fees

MSc (Artificial Intelligence and Machine Learning)

1st Year: Rs.1,30,625
2nd Year: Rs.1,44,375
Total- Rs.2,75,000

Programme Fee: INR 2,75,000

Application Fees: INR 1,500 + GST (Non-refundable)

Admission Process Fees: INR 5,000 (Non-refundable)

Examination Fees: INR 3,000 per year

*Flexible EMI options are available for tuition fee payments. Choose a convenient instalment plan at checkout to manage your fees with ease.

Cancellation Policy

Application Process

Candidates are required to apply online only through the University website www.christuniversity.in. No other means/mode of application will be accepted.

Step-1: Register as a New Applicant

Register once to apply for multiple programs with the same ID.

  1. Fill in your details: Enter your name (as per class 10 certificate), email, phone numbers, date of birth, and password. Verify your details before submitting. Click 'Register' to complete.
  2. Verify with OTP: You will receive an OTP on your mobile and email. Enter the OTP and click 'Proceed'. Check the spam folder if the email is not in your inbox.

Step-2: Procedure to Login

  1. Login with your credentials: Use your registered email ID and password to log in. Enter them correctly in the respective fields.
  2. Click on the Login button: After entering your details, click on the 'Login' button.
  3. Forgot password: If you forgot your password, click on the 'Forgot Password' button and follow the necessary steps to reset it.

Step-3: Fill Personal Information

  1. Select the program and campus to which you want to apply. Ensure all data is correct before proceeding, as it cannot be edited later.
  2. 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.
  3. 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.
  4. Preview and ensure the accuracy of all information before submitting.
  5. Select the date and centre for the selection process. Refer to the Important Dates section before making a selection.

Step-4: Application Fee Payment

  1. Payment Methods: Net Banking, Credit Card, Debit Card, or UPI.
  2. Non-Refundable: The application fee is non-refundable once the application number is generated.
  3. Payment Failure: In case of payment failure, the amount will be refunded within 15 business days.
  4. Printing the Application: A copy of the application can be printed anytime until the selection process is completed.

Why choose this course?

  • Disciplinary Expertise
  • Critical Thinking and Problem Solving
  • Research Skill
  • Professional skills
  • Scientific Social Responsibility

What you will learn?

  • Advanced Knowledge Applications: Apply advanced concepts, to design and develop intelligent systems for solving complex real-world problems.
  • Critical Thinking and Optimization: Demonstrate critical thinking and analytical reasoning to provide solutions for real-world challenges.
  • Research and Innovation: Conduct independent research while maintaining scientific integrity.
  • Professional and Ethical Conduct: Exhibit strong ethical and professional standards ensuring fairness, accountability, and transparency to demonstrate effective communication and teamwork in academia, industry, and research settings.
  • Societal and Environmental Impact: Develop sustainable solutions addressing social, economic, and environmental challenges while promoting inclusivity, cultural diversity, and responsible deployment for the benefit of society.

Career prospects

  • Enter the world of AI and ML careers as machines gain human-like intelligence.
  • MSc (AI and ML) equips candidates with research-focused skills for diverse opportunities.
  • Curriculum ensures theoretical AI knowledge and hands-on experience with industry tools.
  • Gain exposure to research models and industry application development in specialised domains.
  • Industry-relevant electives, projects, and internships enrich practical learni
  • Capitalise on global AI demands with a research-oriented AI and ML skillset.

Admission Queries

CHRIST (Deemed to be University) Online Programmes

Email: onlineprograms.mail@christuniversity.in