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Intake - 30

 

Masters In Computer Applications

 

AI and ML bring powerful benefits to organizations of all shapes and sizes, with new possibilities constantly emerging. In particular, as the amount of data grows in size and complexity, automated and intelligent systems are becoming vital to helping companies automate tasks, unlock value, and generate actionable insights to achieve better outcomes.

AI and ML bring powerful benefits to organizations of all shapes and sizes, with new possibilities constantly emerging. In particular, as the amount of data grows in size and complexity, automated and intelligent systems are becoming vital to helping companies automate tasks, unlock value, and generate actionable insights to achieve better outcomes.

Eligibility Criteria

All those candidates who have Passed B.C.A / B.Sc. (Computer Science) / B.Sc. (IT) / B.E. (CSE) / B.Tech. (CSE) / B.E. (IT) / B.Tech. (IT) or equivalent Degree.

OR

Passed any graduation degree (e.g.: B.E. / B.Tech. / B.Sc. / B.Com. / B.A. / B. Voc. / etc.,) preferably with Mathematics at 10+2 level or at Graduation level

from the University recognized by the University Grants Commission (UGC) and also Obtained at least 50% marks (45% marks in case of candidates belonging to reserved category) in the qualifying examination shall be eligible to apply for admission to MCA Course.

(for students having no Mathematics background compulsory bridge course will be framed by the respective University/ Institution and additional bridge courses related to computer subjects as per the norms of the concerned University)

Programme Educational Objectives (PEO)

PEO1: Be successfully employed in computing profession as well as multidisciplinary domains in supportive and leadership roles.

PEO2: Participate in life-long learning through the successful completion of advanced degrees, continuing education, certifications and/or other professional developments.

PEO3: Promote design, research, product implementation and services in the field of Computer Science and Applications through strong technical, communication and entrepreneurial skills.

Programme Specific Outcomes (PSO)

PSO1: Communicate effectively in both verbal and written form and develop overall personality and character with team spirit, professionalism, integrity, and legal responsibilities.

PSO2: Analyze and apply mathematical, management and latest technologies to design algorithms, analyze and develop complex hardware and software computer systems.

PSO3: To provide student with an academic environment that fosters excellence, develops moral values, life-long learning, leadership, and project management skills.

Programme Outcomes (PO)

PO1: Computational Knowledge: Apply knowledge of computing fundamentals, computing specialization, mathematics, and domain knowledge appropriate for the computing specialization to the abstraction and conceptualization of computing models from defined problems and requirements. Problem

PO2:Analysis: Identify, formulate, research literature, and solve complex computing problem searching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines.

PO3: Design /Development of Solutions: Design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.

PO4: Conduct investigations of complex Computing problems: User search-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

PO5: Modern Tool Usage: Create, select, adapt and apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations.

PO6: Professional Ethics: Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practices.

PO7: Life-long Learning: Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional.

PO8: Project management and finance: Demonstrate knowledge and understanding of the computing and management principles and apply these to one’s own work, as a member and leader in a team to manage projects and in multidisciplinary environments.

PO9: Societal and Environmental Concern: Understand and assess societal, environmental, health, safety, legal, and cultural issues within local and global contexts, and the consequential responsibilities relevant to professional computing practices.

PO10: Individual and Team Work: Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary environments.

PO11: Innovation and Entrepreneurship: Identify a timely opportunity and using innovation to pursue that opportunity to create value and wealth for the betterment of the individual and society at large.

Course Outcome MCA