Discover a promising IT education at IT University of Copenhagen
In the middle of Ørestaden is Computer University of Copenhagen (UIT) – a leading institution that focuses on research and education in computer science. Here, more than 2,000 students benefit from ITU’s cutting-edge teaching and research in computer science, business computing and digital design.
The Anglo-German student Nicola Clark is one of them. For her, choosing to study at ITU was one of her best decisions. “Moving to Denmark was one of the best things that happened to me in my academic and personal life,” shares Nicola.
She just finished her second year BSc in Data Science – the program which she claims is good for her future career in many ways. “I chose data science because it’s a subject that would play on many of my strengths and interests,” enthuses Nicola.
“I used to program a bit and I knew I liked the problem-solving process that was involved, so I knew picking a course where I could develop that skill might work well.
Indeed, ITU programs are exemplary for their close collaboration with industry and a strong international environment. ITU students studying Data Science are set to become the next generation of in-demand IT professionals. They become data scientists with comprehensive analytical and technical skills, guiding the decision-making of tomorrow. Not only will they learn to work in interdisciplinary teams and make sense of large amounts of data, but they will be able to apply their organizational knowledge and understanding of the market to make a difference.
For example, its data science module — Data visualization and data-driven decision making — allows you to define data visualization and identify the most appropriate visualization strategy. During this time, students explore domain-specific approaches and translate technical concepts into real-world concerns through research-based language during the course. Module Data Science in Research, Business and Society.
There is also a machine learning module. It provides a basic introduction to machine learning (ML) with emphasis on statistical aspects. Students focus on both the theoretical foundations of ML and the application of ML methods.
Nicola finds this to be one of the most difficult, yet interesting modules to date. “Machine learning can often seem quite mysterious, and like many people, I didn’t know much about it when I started studying two years ago,” she shares.
“Most people interact with several different machine learning models every day, often without even realizing or paying attention to them. Learning about the math and code behind these processes has provided fascinating insight into some hidden workings of the digital world. This was by far one of the most interesting courses I have taken at ITU so far, although it is also one of the most challenging .
At ITU, the emphasis is on hands-on learning. Second-year students in the data science program complete a project — Introduction to natural language processing and deep learning – which leads them to explore deep neural networks, including representation learning and practical implementations in Python, and work on a real-world problem using natural language processing technology and approaches.
Combine an international student environment with ITU’s academic excellence, and you’ll get a rich and unforgettable student experience. “I tasted many good beers and chatted with people in the park after class and at the Friday Bar. It’s the people here who make studying fun and interesting,” shares Nicola.
Moreover, with ITU’s approximately 19,000 square meter building, students have an ideal space not only to learn, but also to create memories. “Some weekends, especially around deadlines and exams, I revise at home or at university with friends. Sometimes we book a study room or meet at the cafe to study together, which can be quite comfortable and fun.
Students like Nicola are on the verge of graduating and being ready for a promising career thanks to ITU’s ongoing dialogue and close collaboration with relevant industries. Every March and October, ITU organizes its IT Match Making fair for companies to hire more than qualified students and collaborate with students on projects.
Nicola describes her experience at ITU so far as challenging, interesting and transformative. “ITU and Data Science have played a key role in defining who I am as a person. I feel that ITU has given me an environment in which I have been able to thrive both emotionally and academically, I’m happy with the person I’ve become here,” she shares.
“There were tough classes, deadlines and exams. But for me, there is always a great sense of accomplishment when difficult concepts are understood, assignments are delivered, and exams are passed. Start training at Computer University Copenhagen here.
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