The Master of Computer Applications (MCA) programme at NMIMS is designed to produce graduates with strong analytical and technical proficiencies. Our comprehensive coursework cultivates efficient problem-solving abilities and fosters innovative solution development.
From the second semester onwards, students can choose from a diverse array of electives, enhancing their specialized knowledge and nurturing a research-oriented approach aligned with current industry requirements. This program equips students with the advanced skills and adaptability needed to excel in the rapidly evolving field of computer applications, meeting the growing demand for skilled professionals in the industry.
2 years, 4 semesters
Personal Interview
Passed BCA / Bachelor Degree in Computer Science Engineering or equivalent Degree / BSc / B.Com / B.A. with Mathematics at 10+2 Level at Graduation Level (with additional bridge Courses as per the norms of the concerned University). Obtained at least 50% marks in the qualifying examination
Gain real-world experience through live projects and industry internships: Our MCA programme offers students the opportunity to work on live projects and complete a six-month industry internship, giving them valuable experience in applying their skills to real-world scenarios.
Learn with a focus on practical, project-based learning: Our industry-oriented curriculum is designed to give students the skills and knowledge they need to succeed in the workforce, with a focus on project-based learning that prepares them for the challenges of working in the field.
Customize your education with a wide range of domain-related electives: Our programme offers a variety of electives that allow students to tailor their education to their interests and career goals, with options in areas such as software engineering, data science, cybersecurity, and more.
Access state-of-the-art laboratory facilities for high-end computational experimentation: Our MCA programme provides access to cutting-edge laboratory facilities that enable students to conduct high-end computational experimentation, preparing them for the latest advances in the field