Program Educational Objectives & Outcomes

Our vision, educational milestones, and student learning outcomes designed to foster global leaders in AI for Science & Technology.

Expected achievements of our graduates within 3 to 5 years after graduation

Program Educational Objectives (PEOs)

Graduates of the Bachelor of Science in AI for Science & Technology are envisioned to achieve these distinguished milestones in academia, research, and high-impact industries:

PEO 1

Scientific & Technological Leadership

Graduates exhibit profound mastery in AI principles and scientific discovery, spearheading research and innovation in global academic and industrial organizations.

PEO 2

Interdisciplinary Problem Solving

Graduates synthesize artificial intelligence with foundational sciences (biology, chemistry, physics, and robotics) to resolve complex, multi-scale challenges.

PEO 3

Ethical & Responsible Innovation

Graduates champion trustworthy, transparent, and ethical AI systems, respecting privacy, human values, and societal well-being.

PEO 4

Global Competence & Lifelong Learning

Graduates continuously adapt to rapid technological evolutions through postgraduate studies, international collaboration, and entrepreneurial ventures.

Knowledge, skills, and competencies mastered upon graduation

Student Learning Outcomes (SOs)

By the completion of the 4-year undergraduate journey, every AITech student will demonstrate profound competence across these foundational outcomes:

SO 1

Scientific Foundations

An ability to identify, formulate, and solve complex scientific and technological problems by applying principles of artificial intelligence, mathematics, and natural science.

SO 2

AI Engineering & Design

An ability to apply computational design principles to produce AI solutions that meet specified needs with consideration of public health, safety, and welfare.

SO 3

Global Communication

An ability to communicate effectively in international English with a wide range of academic, technical, and corporate audiences.

SO 4

Ethical Responsibility

An ability to recognize ethical and professional responsibilities in AI engineering practices and make informed judgments.

SO 5

Collaborative Teamwork

An ability to function effectively on an interdisciplinary team whose members together provide leadership and create a collaborative environment.

SO 6

Empirical Experimentation

An ability to develop and conduct appropriate experimentation, analyze and interpret experimental data, and use scientific judgment to draw conclusions.

Ready to Embark on Your Journey?

Discover our admissions rounds, entry requirements, and merit scholarship schemes.

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