Master of Computer Applications (Industry Oriented Specialization in Artificial Intelligence & Machine Learning) 24 months Postgraduate Programme By Galgotias University |TopUniversities

Programme overview

Main Subject

Computer Science and Information Systems

Degree

MComp

Study Level

Masters

Study Mode

On Campus

The Master of Computer Applications (M.C.A.) – Industry Oriented Specialization in Artificial Intelligence & Machine Learning is a cutting-edge postgraduate program designed to equip students with in-depth knowledge and hands-on expertise in AI and ML. The curriculum integrates fundamental computer science concepts with specialized courses in machine learning, deep learning, natural language processing, and AI-driven applications. 
Emphasizing industry relevance, the program incorporates real-world case studies, live projects, and collaborations with industry leaders to bridge the gap between theoretical learning and practical implementation. Students gain proficiency in advanced algorithms, data analytics, and AI frameworks, enabling them to develop intelligent systems and innovative solutions for various domains, including healthcare, finance, robotics, and cybersecurity. With a strong focus on research, problem-solving, and ethical AI practices, the program prepares graduates for careers as AI engineers, data scientists, machine learning specialists, and research professionals in leading technology firms and research organizations.

Programme overview

Main Subject

Computer Science and Information Systems

Degree

MComp

Study Level

Masters

Study Mode

On Campus

The Master of Computer Applications (M.C.A.) – Industry Oriented Specialization in Artificial Intelligence & Machine Learning is a cutting-edge postgraduate program designed to equip students with in-depth knowledge and hands-on expertise in AI and ML. The curriculum integrates fundamental computer science concepts with specialized courses in machine learning, deep learning, natural language processing, and AI-driven applications. 
Emphasizing industry relevance, the program incorporates real-world case studies, live projects, and collaborations with industry leaders to bridge the gap between theoretical learning and practical implementation. Students gain proficiency in advanced algorithms, data analytics, and AI frameworks, enabling them to develop intelligent systems and innovative solutions for various domains, including healthcare, finance, robotics, and cybersecurity. With a strong focus on research, problem-solving, and ethical AI practices, the program prepares graduates for careers as AI engineers, data scientists, machine learning specialists, and research professionals in leading technology firms and research organizations.

Admission Requirements

Minimum 50% marks in graduation degree (e.g.: B.E. / B.Tech./ B.Sc / B.Com. / B.A./ B. Voc./ BCA etc.,) preferably with Mathematics at 10+2 level or at Graduation level.

(for students having no Mathematics background compulsory bridge course will be framed by the University) Students having CUET Score will be given preference in merit

2 Years

Tuition fees

Domestic
92,000 INR
International
92,000 INR

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

More programmes from the university

Postgrad Programmes 24896