Statistical machine learning
7.5 creditsEmbark on a dynamic journey into the cutting-edge realm of statistical learning with our exciting introductory course! This comprehensive program seamlessly integrates theoretical knowledge with hands-on experience in machine learning methods, empowering students to master the art of data-driven decision-making. Dive into the world of statistical software and harness the power of deep learning components as you work with diverse real-world datasets. Our unique approach combines insightful projects that illuminate both the theoretical intricacies and the practical applications of machine learning. Gain proficiency in industry-relevant tools like R, equipped with libraries such as Keras and TensorFlow. Elevate your skills with an exploration of neural networks, deep learning architectures, and optimization techniques. From unraveling the mysteries of bias-variance tradeoff to tackling real-world challenges, this course promises an immersive and transformative learning experience. Join us and unlock the doors to a future where you're not just learning about machine learning – you're living it!
Distance – study where you are
Distance learning can be structured in different ways – it may be entirely online, or include a few on-campus sessions or meetings at one of our learning centres. The common factor is that most of the learning happens online.
You communicate with your teacher and fellow students through a learning platform, which provides access to discussion forums, group work opportunities, and digital meetings. In many cases, you also have access to recorded lectures via the platform.
The advantage of distance learning is its flexibility – ideal for those who want more freedom to decide when and where to study. However, keep in mind that some mandatory elements of your programme may take place during working hours, even if they are conducted online.
Build your own degree
Did you know that you can combine single-subject courses to build your own degree? In this way, you can design your own degree based on your interests and the career you are aiming for. This does not apply to all courses so make sure to check with a study counsellor at the faculty. Learn more about how you can build your own degree and become unique on the labour market.