MCA in Artificial Intelligence

Overview

The Artificial Intelligence market size is expected to reach $65.48 billion by 2020. According to the projections made for the year 2030, this value is to reach $1,581.70 Billion, increasing at the rate of 38.0% of CAGR from the year 2021 to 2030. AI has almost become synonymous with the future of technology. With AI outperforming human efforts, organizations are opting for AI more and more to increase efficiency and slash down costs in the long run. AI along with Big Data, ML, and NLP are ranked 2nd amongst the top tech priorities for 2021-2 according to NASSCOM Tech CEO Survey 2022.

Across all industries, there is a growing need for intelligent and accurate decision-making systems. As a result, AI and ML technologies have seen exponential growth, and they are likely to remain relevant for many years to come. Machine Learning is a subset of Artificial Intelligence that aids programs advance their prediction precision by utilizing old databases. Artificial Intelligence has already begun showing its effects in the form of convenience that it has provided humans with. The main focus of AI and ML is to create machines and programs that have problem-solving skills and goals like human beings. The scope of AI and ML lies in the industries of technology, financial services, military, and national security, gaming, agriculture, healthcare, and many more.

Course Highlights

• Develop programming, analytical and logical thinking abilities. 

• Develop computational knowledge and project development skills to solve societal problems in AI & ML

• Develop the ability to qualify for Employment, higher studies, and Research in Artificial Intelligence and Data science with ethical values. 
• Inculcate the ability to work in a team and act as an individual in a multidisciplinary environment with lifelong learning and social awareness.

• The ability to apply knowledge of fundamentals, specializations, mathematics, and domain knowledge to problem-solving and creating computing models that represent an abstraction of requirements

• Problem Analysis: Identify, formulate, design, and solve complex computing problems providing concrete conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines. 

• Develop solutions to problems in computing by constructing components, implementing processes, and evaluating solutions that meet defined specifications

• Modern Tool/Techniques usage: Select, adapt, and apply appropriate tools, techniques, resources to various computing activities, with an understanding of their limitations

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

• Life-long learning: Recognize the need and have the capability to engage in independent learning for continuous professional development. 

• Communication Efficiency: Communicate effectively about computing activities with the computing community, and with society at large, through the ability to comprehend and write effective reports, design documentation, deliver effective presentations, and give and understand clear instructions.

• 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. 

• Individual and Teamwork: In a multidisciplinary environment and diverse teams, function as an effective individual, member, or leader.

• Innovation and Entrepreneurship: Create value and wealth for the individual and society at large by identifying a timely opportunity and using innovation to pursue that opportunity.

• Conduct Investigations of complex computing problems: Apply research-based knowledge and research methods, including the design of experiments, the analysis and interpretation of data, and the synthesis of the information to provide valid conclusions. 

• Project management and finance: The ability to understand and apply computing and management principles to one's own work, as a leader or as a member of a team, in order to manage projects in a multidisciplinary environment.