Demonstrate Technical Expertise: Graduates will exhibit a strong understanding of fundamental principles in computer science and engineering, enabling them to effectively design, develop, and implement innovative solutions to complex technological challenges.
Engage in Collaborative Problem-Solving: Graduates will possess the ability to work collaboratively in diverse teams, applying creative problem-solving skills to address real-world issues, thereby contributing to successful project outcomes and advancements in technology.
Commit to Ethical Practices and Lifelong Learning: Graduates will embrace ethical practices in their professional endeavors and demonstrate a commitment to lifelong learning, actively seeking opportunities for continuous personal and professional development to adapt to the evolving landscape of technology and industry.
Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
Design/development of solutions: Design solutions for complex engineering 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.
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.
Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
The 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 engineering practice.
Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
Communication: Communicate effectively on complex engineering activities with the engineering community and with 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.
Project management and finance: Demonstrate knowledge and understanding of the engineering 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.
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.
Graduates will demonstrate the ability to apply computational theories and principles in the design and development of software solutions, enabling them to address complex problems in areas such as machine learning, cloud computing, and cybersecurity.
Graduates will possess the skills to manage software projects effectively, utilizing advanced project management techniques and collaborative tools to work efficiently in diverse teams, ensuring successful project delivery within constraints.
Graduates will engage in innovative research and development activities, applying knowledge of emerging technologies to create novel solutions and contribute to advancements in fields such as artificial intelligence, data science, and Internet of Things (IoT).