MCA in Artificial Intelligence

Overview

The Artificial Intelligence market is expected to reach $65.48 billion by 2020. According to the projections made for 2030, this value will reach $1,581.70 Billion, increasing at 38.0% CAGR from 2021 to 2030. AI has almost become synonymous with the future of technology. With AI outperforming human efforts, organisations increasingly opt for AI to increase efficiency and slash costs in the long run. AI, Big Data, ML, and NLP are ranked 2nd amongst the top tech priorities for 2021-22, according to the 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 will likely remain relevant for many years. Machine Learning is a subset of Artificial Intelligence that aids programmes in advancing their prediction precision by utilising old databases. Artificial intelligence has already begun showing its effects in the form of convenience that it has provided humans. The main focus of AI and ML is to create machines and programmes with problem-solving skills and goals like human beings. The scope of AI and ML lies in technology, financial services, military, national security, gaming, agriculture, healthcare, and many more.

The MCA in Artificial Intelligence programme offered at the School of Computer Science and IT at JAIN (Deemed-to-be University), is a gateway for those who want to make a career in the lucrative and fastly emerging field of AI and ML.

Course Highlights

Here are some of programme highlights of the MCA in Artificial Intelligence programme:

• The curriculum of the programme is designed to enable the students to develop programming, analytical and logical thinking abilities. 

• The programme motivates graduates to develop computational knowledge and project development skills to solve societal problems in AI & ML.

• Graduating students will be able to qualify for employment, higher studies, and research in Artificial Intelligence and Data Science with ethical values. 
• The students are encouraged to inculcate the ability to work in a team and act as individuals in a multidisciplinary environment with lifelong learning and social awareness.

• The students will develop the ability to apply knowledge of fundamentals, specialisations, mathematics, and domain knowledge to problem-solving and create computing models that represent abstractions of requirements.

• The programme enables students to identify, formulate, design, and solve complex computing problems, providing concrete conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines. 

• After the completion of the programme, the students will be able to construct components, implement processes, and evaluate solutions that meet defined specifications to develop solutions to computing problems.

• The programme is structured in a manner to impart knowledge of using Modern Tools/Techniques, selecting, adapting, and applying appropriate tools, techniques, and resources to various computing activities, with an understanding of their limitations.

• The programme exposes the students to industry experience enabling them to understand professional ethics, cyber regulations, responsibilities, and norms of professional computing practices.

• They will be equipped with the knowledge to recognise the need and have the capability to engage in independent learning for continuous professional development. 

• During the training period, the students are taught to communicate effectively about computing activities with the computing community and society by comprehending and writing practical reports, designing documentation, delivering effective presentations, and giving and understanding clear instructions.

• Graduating students are motivated to 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. 

• The programme enables students to function effectively as individuals, members, or leaders in a multidisciplinary environment and diverse teams.

• It will assist them in establishing values and wealth for the individual and society by identifying timely opportunities and using innovation to pursue them.

• Students can actively conduct investigations of complex computing problems and apply research-based knowledge and research methods, including designing experiments, analysing and interpreting data, and synthesising the information to provide valid conclusions. 

• Graduating students learn the nuances of project management and finance and the ability to understand and apply computing and management principles to their work as leaders or team members to manage projects in a multidisciplinary environment.