Our Approach
Beyond Technical Skills: Shaping the Next Generation of Thinkers
The debate around the future of technical education highlights a critical truth: technical skills alone are not enough. As National Review (2025) points out, many programs produce graduates who can code but lack the ability to think critically, make sound judgments, and adapt to rapidly changing challenges. Similarly, NVIDIA CEO Jensen Huang recently emphasized that while AI can replicate technical tasks, it cannot replace uniquely human traits such as creativity, problem solving, emotional intelligence, and professional judgment.
Our Human-Centered Approach
- Critical Thinking
Learners examine problems from multiple perspectives, questioning assumptions and weighing evidence before making informed decisions. - Creativity
Solutions are designed to be technically sound while also imaginative, socially relevant, and responsive to real-world complexities. - Emotional Intelligence
Communication, collaboration, and empathy remain central to our pedagogy, ensuring graduates understand people as deeply as they understand data. - Problem-Solving
Training emphasizes applying data and AI to practical challenges in finance, healthcare, public policy, and other areas where human judgment is indispensable. - Professional Judgment
Students gain the ability to make ethical, well-reasoned decisions that balance technical knowledge with responsibility to society.
Why This Matters
Unlike traditional STEM-focused programs, DataSoSi was intentionally built for learners from social sciences, business, and other non-technical disciplines. These students bring diverse perspectives shaped by human behavior, lived experiences, ethics, and culture—perspectives essential for guiding the future of AI and data-driven decision-making.
Curriculum Vision
- The curriculum reflects the vision of Dr. Mark Lokanan, a world-class researcher and professor uniquely trained in both computer science and the social sciences. Such interdisciplinary foundation shapes every program at DataSoSi, ensuring that students gain far more than technical skills.
- By combining advanced knowledge in AI, machine learning, and data science with deep expertise in critical thinking, creativity, emotional intelligence, problem-solving, and professional judgment, the curriculum prepares learners to meet the challenges of a data-driven world responsibly.
- Graduates of DataSoSi leave with technical competence and human-centered skills—a combination that ensures the next generation of leaders will be innovators, problem-solvers, and critical thinkers capable of guiding the ethical and responsible use of AI in society.