PEOs and POS

Graduates of the programme will:

PEO 1: Develop the ability to design and implement AI-based solutions that address critical societal and industrial challenges.

PEO 2: Gain expertise in managing, analyzing, and interpreting large-scale datasets and developing data-intensive software systems.

PEO 3: Exhibit professional responsibility, self-directed learning skills, and continuous growth in emerging technological domains.

Graduates will be able to:

• Apply principles of mathematics, statistics, and science to solve complex engineering problems
• Analyze and interpret advanced technical literature to support research and innovation
• Design systems and applications that consider public safety, ethical responsibility, and environmental sustainability
• Utilize modern computational tools for modeling, simulation, and predictive analytics
• Communicate technical concepts and results effectively to both technical experts and general audiences

Upon successful completion of the programme, graduates will be able to:

• Design and implement AI-driven systems that support informed decision-making in business, governance, and industry.
• Derive meaningful insights from data by applying descriptive, predictive, and prescriptive analytics techniques.
• Integrate theoretical AI concepts with industrial tools and platforms to address complex societal and engineering problems beyond the scope of traditional approaches.