PEO1 To develop problem solving abilities using a computer

PEO2 To build the necessary skill set and analytical abilities for developing computer-based solutions for real life problems

PEO3 To imbibe quality software development practices

PEO4 To create awareness about process and product standards

PEO5 To train students in professional skills related to Software Industry

PEO6 To prepare necessary knowledge base for research and development in Computer Science

PEO7 To help student’s build-up a successful career in Information Technology

A student with a M.Sc. in Information Technology will have the ability to

PO1 Scientific knowledge: Apply the knowledge of mathematics, science, and computing to the solution of complex scientific problems.

PO2 Problem analysis: Identify, formulate, research literature, and analyse complex scientific problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and applied sciences.

PO3 Design/development of solutions: Design solutions for complex problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

PO4 Conduct investigations of complex problems: Use research-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 tools usage: Create, select, and apply appropriate techniques, resources, and modern computing and IT tools including prediction and modelling to complex scientific activities with an understanding of the limitations.

PO6 The software engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues, and the consequent responsibilities relevant to the professional practice.

PO7 Environment and sustainability: Understand the impact of the professional software engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

PO8 Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the scientific practice.

PO9 Individual and teamwork: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO10 Communication:  Communicate effectively on complex activities with the scientific community and with the society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

PO11 Project management:  Demonstrate knowledge understanding of the scientific 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.

PO12 Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

A Master of Science in Artificial Intelligence (M.Sc) degree from KES Shroff College opens up a multitude of career opportunities across various sectors. Our graduates are well-prepared to pursue careers in:

• AI Development: Positions such as AI engineer, machine learning engineer, and deep learning specialist in technology companies and research institutions.
• Data Science and Analytics: Roles in data analysis, predictive modeling, and big data analytics within organizations leveraging AI technologies.
• Robotics: Careers in designing and developing intelligent robotic systems for industries such as manufacturing, healthcare, and logistics.
• Natural Language Processing: Opportunities to work on language translation, sentiment analysis, and conversational AI in tech firms and startups.
• Computer Vision: Positions in developing image and video analysis systems for applications in security, healthcare, and automotive industries.
• Research and Development: Opportunities to work in R&D departments, developing new AI algorithms and innovative AI-driven solutions.