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In the last few years, technological development has advanced at an unprecedented pace in human history. It is safe to say that even engineers are struggling to keep up with the rapid wave of change. Disruptive technologies such as Generative AI have already begun to make a profound impact across every industry.

This is not the first time technological disruption has shaken, confused, or even frightened humanity. From the steam engine and electricity to the internet, every breakthrough initially brought uncertainty before eventually transforming societies for the better. If we prepare ourselves with the right skills and knowledge, this disruption too can be turned into an opportunity.

Dr Prasad Purnaye, Assistant Professor at MIT World Peace University shares few skill sets that can prove invaluable for the engineers of tomorrow:

1. Articulating Skills

Generative AI is a powerful tool—if used wisely. To get meaningful results, one needs to frame prompts that are clear, detailed, and well-explained. Since most AI engines currently operate in English, students who struggle with the language may face difficulties in unlocking their full potential. The ability to articulate one’s needs effectively, whether in English or any language, will go a long way in shaping an engineer’s career.

2. Domain Expertise

Coding alone will no longer be enough to thrive in the job market. What will set engineers apart is strong expertise in a specific domain—be it finance, healthcare, education, automobiles, civil infrastructure, or oil and gas. Generative AI will amplify the value of such domain knowledge, making it a critical skill for the future.

3. Research Skills

Research is not only for intellectuals in labs—it is about curiosity, observation, and the ability to gather information from available facts. Engineers must learn to measure impact, analyze market size, and evaluate opportunities. The ability to ask the right questions and find reliable answers will be a career-defining skill.

4. Design Thinking

Engineering has always been about solving complex problems. Design thinking encourages solutions that are not technology-driven alone but also user-centric. This iterative, experimental, and human-focused approach can lead to more sustainable and effective innovations. For future engineers, this skill will be indispensable.

5. Business Essentials

Gone are the days when business knowledge was reserved for MBA graduates. Today, every engineer should be familiar with the basics of management—frameworks like SWOT analysis, financial planning, stakeholder management, and prioritization tools such as MoSCoW analysis. Combining technical skills with business acumen will make engineers more versatile and impactful.

These are just a few areas where young engineers can focus their energy. By going beyond coding and embracing a broader set of skills, students will not only stand out in a competitive market but also position themselves as leaders in shaping the future of technology.

According to Dr. Angelina Geetha, Dean Academics, Hindustan Institute of Technology and Science, students should have some of the following Core Technical Skills with Global Certification in addition to the Formal Subject knowledge to qualify themselves to meet the requirements of Industry in 2030 both Nationally and Internationally.

1. Artificial Intelligence (AI) & Machine Learning (ML) – Designing intelligent systems and predictive models.

2. Data Science & Big Data Analytics – Handling, processing, and interpreting massive datasets for decision-making.

3. Robotics & Automation – Development of autonomous systems, industrial robots, and collaborative robots (cobots).

4. Internet of Things (IoT) – Smart systems, sensor networks, and cyber-physical systems.

5. Cloud Computing & Edge Computing – Managing distributed computing infrastructure.

6. Digital Twin Technology – Creating virtual replicas of physical systems for simulation and optimization.

7. Blockchain & Web3 Engineering – Secure data management, supply chain transparency, and decentralized applications.

8. Quantum Computing (Emerging) – Algorithms and systems for next-generation computing power.

9. Cybersecurity Engineering – Protecting critical infrastructure, IoT, and industrial systems.

10. Software Development & Low-Code/No-Code Platforms – Agile engineering of applications.

11. AR/VR/XR Engineering – Immersive design for training, simulation, and product development.

12. Additive Manufacturing (3D Printing) – Rapid prototyping and large-scale industrial 3D printing.

13. Smart Manufacturing & Industry 4.0 – Integration of sensors, AI, and real-time monitoring in factories.

14. Nanotechnology & Advanced Materials – Development of lightweight, strong, and functional materials.

15. Space Technology & Aerospace Engineering – Satellite systems, propulsion, and space habitats.

16. Biotechnology & Bioengineering – Synthetic biology, biomaterials, healthcare innovations.

17. Neuroengineering & Human-Machine Interfaces – Brain-computer interfaces, prosthetics, wearable tech.

18. Underwater Technology – Underwater Mining, Benthic Mapping, Exploration