
Omar Elaktash
Computer Science with AI Degree
At Huddersfield, my Computer Science with AI degree provides a blend of theoretical knowledge and hands-on experience. Here’s how it’s equipping me with the skills and insights to thrive in this evolving industry.
Why AI is the Career of the Future – and How My Degree is Preparing Me
Artificial Intelligence (AI) is no longer just a futuristic concept; it’s shaping industries, transforming businesses, and redefining the way we interact with technology. As someone studying Computer Science with AI at the University of Huddersfield, I’ve experienced first-hand how this field is preparing students for a future where AI plays a critical role in nearly every sector.
The Rise of AI and Its Impact on Careers
From self-driving cars to AI-powered healthcare diagnostics, the demand for AI professionals is skyrocketing. According to industry reports, the global AI market is expected to grow at an annual rate of over 35% , creating countless job opportunities in fields like machine learning, robotics, natural language processing, and data science. This means that pursuing a career in AI isn't just about working on cool, futuristic projects, it’s about shaping the next generation of technological advancements.

How My Degree is Preparing Me for the AI-Driven Future
At Huddersfield, my Computer Science with AI degree provides a blend of theoretical knowledge and hands-on experience. Here’s how it’s equipping me with the skills and insights to thrive in this evolving industry.
1. Learning Core AI Concepts
Understanding the fundamentals of AI is essential. From machine learning algorithms and neural networks to ethical AI development, my degree covers the core principles that power today’s intelligent systems. Learning how to train models, analyse data, and improve AI-driven solutions has given me a strong foundation in the field.
2. Gaining Hands-On Experience with AI Tools and Technologies
AI isn’t just theory, it’s about application. Throughout my course, I’ve worked with Java, Python, C, C++, SQL, HTML, PHP, CSS, and JavaScript, which have given me a well-rounded foundation in programming. I have also explored Natural Language Processing (NLP), which is essential for developing AI systems that understand human language. Additionally, I have used Jupyter Notebook for coding and experimenting with models and MATLAB and Simulink for simulations and algorithm development. These tools are widely used in the industry, giving me practical experience that will be directly applicable in a future AI career.
3. Understanding Data Science and Business Applications
One of the most exciting aspects of AI is its role in data analysis and business intelligence. Companies today rely on AI-driven insights to optimize marketing strategies, predict customer behaviour, and enhance decision-making processes. My coursework in data structures, statistical analysis, and business applications of AI has shown me how AI is revolutionizing industries beyond just tech, such as finance, healthcare, and retail.
4. Developing Problem-Solving and Analytical Thinking Skills
AI isn’t just about writing code; it’s about solving complex problems. One of the biggest challenges I’ve faced in my degree is figuring out how to optimize algorithms, improve model accuracy, and handle large datasets efficiently. These problem-solving skills are highly valuable in the real world, where AI professionals need to adapt and innovate constantly.
5. Preparing for the Ethical and Social Implications of AI
AI is powerful, but with great power comes great responsibility. Ethical concerns like bias in AI models, data privacy, and the impact of automation on jobs are crucial topics in my degree. Learning how to develop AI responsibly and ensure fairness in algorithms is just as important as understanding how the technology works.

Overcoming Challenges in Studying AI
AI is a challenging but rewarding field. One of the biggest hurdles I’ve faced is the steep learning curve, especially when dealing with complex mathematical concepts like linear algebra and probability. However, using resources like online AI courses, open-source communities, and hands-on projects has helped me navigate these difficulties. Engaging with peers, attending AI meetups, and working on real-world projects have also been game-changers in my learning journey.
Why AI is the Career of the Future
AI is set to create millions of jobs, and professionals who understand AI will be at the forefront of innovation. Whether it’s automating business processes, improving customer experiences, or developing smarter healthcare solutions, AI has the potential to shape a better, more efficient world.
Final Thoughts: Advice for Future AI Students
If you’re considering a degree in AI, my advice is simple:
- Stay curious. AI is constantly evolving, so a willingness to keep learning is essential.
- Work on projects. Applying AI concepts to real-world problems will deepen your understanding.
- Don’t be afraid to ask questions. AI can be overwhelming at first, but collaborating with others will help you grow.