M.SC. (Artificial intelligence and machine learning)
Masters of Science in Artificial Intelligence and Machine Learning
Masters of Science in Artificial Intelligence and Machine Learning
The Master of Science (MSc) in Artificial Intelligence and Machine Learning is a postgraduate program designed to develop high-level expertise in AI theory, machine learning algorithms, data science, and their real-world applications. The program prepares students to lead innovations, conduct research, and develop intelligent systems in industries transforming through automation and data-driven decision-making.
This course integrates core AI principles with advanced machine learning techniques, deep learning, natural language processing, and big data analytics to meet the rising global demand for AI professionals.
To provide advanced knowledge and technical proficiency in artificial intelligence and machine learning.
To equip students with the ability to build intelligent applications using modern AI frameworks.
To enable students to perform data analysis, model training, and predictive analytics.
To develop critical thinking and problem-solving skills for complex AI-driven challenges.
To foster innovation through hands-on projects, research, and collaboration with industry.
A Bachelor’s degree in Computer Science, Information Technology, Engineering, Mathematics, or a related field from a recognized university.
Minimum 45% marks (40% for reserved categories) in the qualifying degree (relaxation for reserved categories as per institutional policies).
Basic programming knowledge and analytical skills are preferred.
Entrance Exams for B.SC. (IT) include:
Click here for a detailed Fee Structure.
Duration: 2 years (4 semesters)
Comprehensive curriculum covering AI foundations, deep learning, data mining, NLP, computer vision, and reinforcement learning.
Practical training using tools like Python, TensorFlow, Keras, PyTorch, and OpenCV.
Research-based projects and exposure to publications, patents, and conferences.
Internships with leading tech companies and research institutions.
Workshops and seminars conducted by industry experts and AI practitioners.
Access to state-of-the-art AI labs and cloud-based environments.
Gain specialized skills in AI and ML with a balance of theory and hands-on practice.
Build real-world intelligent systems for healthcare, finance, robotics, and more.
Prepare for high-paying job roles and leadership positions in technology-driven industries.
Develop research capabilities for academic or industrial R&D roles.
Opportunity to pursue certifications in advanced AI domains and cloud platforms.
Graduates of MSc in Artificial Intelligence and Machine Learning can pursue a wide array of roles, including:
AI/ML Engineer
Data Scientist
Research Scientist – AI
Deep Learning Engineer
AI Product Manager
Data Analyst
NLP Engineer
Computer Vision Developer
AI Consultant
Machine Learning Architect
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The demand for AI professionals continues to grow across sectors such as IT, healthcare, e-commerce, banking, education, and automotive. MSc graduates can expect to work with multinational tech firms, research labs, startups, and government projects focused on digital transformation. With a growing emphasis on automation, analytics, and smart technologies, the career prospects in AI and ML are strong both in India and internationally.
Graduates also have the foundation to pursue a PhD or contribute to global AI research initiatives.
The program spans 2 years and is divided into 4 semesters.
Yes, applicants from related fields such as engineering, mathematics, and information technology can apply, provided they meet the eligibility criteria.
Yes, the program includes hands-on labs, live projects, and opportunities for research and internships.
Yes, the university offers dedicated placement support, including career counseling, resume building, and recruitment drives.
The University offers hostel facilities with designated residential blocks for both boys and girls, available on a first-come, first-served basis. Accommodation is provided on a Double/ triple sharing arrangement. Students who wish to avail themselves of on-campus hostel facilities are required to deposit the fee in advance.