Discover the vital skills today’s AI professionals need, and the benefits of developing them at a Turing Network University.
Artificial Intelligence (AI) is changing the way we live, work, and study. Forbes has cited several reports that demonstrate how ubiquitous artificial intelligence is becoming in the modern workplace.
For example, by 2050, around 60% of current jobs will require significant adaptation due to AI. And a report carried out by McKinsey forecasts that by 2030, 30% of hours worked across the US economy could be automated.
The figures are alarming, but they carry a clear message. To succeed and thrive in our respective industries, we must stay ahead of the curve with the latest AI developments. And to achieve this, you need more than just coding knowledge.
Employers want people who can think critically, act responsibly, and work well with others.
In this blog, we’ll look at the key skills you need as an AI professional and how an MSc in Artificial Intelligence can help you build them.
AI is all about using data and algorithms to solve problems. Analytical thinking means breaking down complex problems into smaller, manageable parts. If you work in the healthcare sector, for example, this could involve using AI to help doctors diagnose diseases. Or if you work in finance, you might use it to predict stock market changes. No matter what industry you work in, you'll be required to spot patterns and design logical solutions.
For a sector-specific deep dive into analytical thinking in action, check out our blog post on how AI can be used in digital marketing.
AI professionals must be skilled in programming, especially Python, which is widely used in the industry. Knowing how to use AI libraries like TensorFlow or PyTorch is also important. With these tools, you can build, test, and improve AI systems. Having a strong technical base allows you to not only use existing models but also create new ones.
AI systems are full of untapped potential. But if they're not carefully managed, they come with risks and problems. For example, they may spread false information, invade privacy, or show bias. Risk management involves being able to see these possible issues, measure their impact, and prevent them. In doing so, you can make sure that the AI solutions you use are safe, fair, and reliable.
AI project implementation often requires input from workers across all areas of a business. This could range from engineers and managers to company directors and creative teams. Negotiation skills and teamwork help bring all these groups together and give them the same level of understanding. For example, you might need to discuss access to data or agree on project goals. Good teamwork ensures everyone is working toward the same outcome.
As AI technology advances, so does the need to use it responsibly. Professionals must think about issues like bias, misinformation, and privacy. And on top of this, it's vital to act with fairness, transparency, and accountability. Our MSc in Artificial Intelligence teaches these values, so you'll become ready to create AI systems that benefit society.
Want to find out more about why responsible AI is so important today? Read our blog post on the topic, written by MSc Artificial Intelligence Programme Director Dr Rameez Kureshi.
AI technology doesn't exist in a bubble. It's used in almost every field, from medicine and law to policing and business. AI professionals need to work with people from these areas and understand their challenges. This means communicating technical ideas and concepts clearly to everyone, and being open to new perspectives.
Technical skills are essential, but soft skills are just as important. Communication skills help AI professionals explain complex ideas to people without technical training. Leadership, empathy, and teamwork are also key, especially in fast-moving industries. Employers value professionals who can code, but also lead, collaborate, and inspire others.
Our online MSc in Artificial Intelligence gives you a holistic education by developing both your technical expertise and your soft skills. With this well-rounded skill set, you'll be prepared to move into rewarding new roles in your sector. You'll also have the confidence to tackle whatever challenges and opportunities AI will present in the future.
Our comprehensive approach integrates multiple learning dimensions that ensure you develop into a well-rounded AI professional:
Programming practice: You'll learn Python and AI tools, as well as how to present data clearly to others.
Applied AI: You'll study real examples of AI in healthcare, law, climate change, and business.
Ethics and responsibility: You'll gain a nuanced understanding of the legal, cultural, and social issues associated with AI.
Hands-on projects: The final module challenges you apply what you've learned to solve a real-world industry challenge of your choice. You can opt to tackle an AI-related issue within your own workplace.
This mix of theory and practice ensures that when you graduate, you'll be ready to use AI in meaningful and responsible ways.
Our MSc in Healthcare Leadership is designed for professionals who want to apply new skills directly to their roles. Taught by academics with healthcare experience, the programme combines theory with practice so you can make an immediate impact at work.
Modules include Self as Leader to build self-awareness, Supporting Change, Innovation, and Problem-Solving to strengthen change management, Promoting Quality and Safety in Healthcare to improve patient outcomes, and Global Perspectives on Healthcare Policy to broaden your outlook. A final Capstone Project allows you to apply all your learning to a real workplace challenge or research topic.
This applied approach ensures you graduate ready to lead with confidence, adapt to change, and drive improvements in healthcare.