General Class schedule Programme Job opportunities Quality How to apply? Be on the r AI ght side of the revolution!Artificial Intellegence (AI) is undeniably becoming an integral component of our everyday lives, often in ways that go unnoticed. Whether it’s the song suggestions from Spotify, or the car smoothly cruising past with its adaptive cruise control, AI plays a significant role. It’s behind the scenes, tirelessly automating repetitive tasks, making our world more efficient and innovative. AI is incredibly useful in today’s world. Creative Tech and AI (CTAI) is your gateway to understanding and actively participating in this AI revolution.CTAI stands out as a bachelor program that focuses exclusively on every technical aspect of the AI pipeline. From data collection and model training to deployment and integration, CTAI offers an unmatched depth of expertise. What truly sets us apart are our unique courses, such as robotics and edge AI, and cutting-edge topics like reinforcement learning and generative AI — areas that few other schools explore as comprehensively as Howest. By immersing yourself in this innovative program, you’ll gain a one-of-a-kind education that equips you to lead the AI-driven future.Starting in your second year, you'll dive into real-life use cases for actual customers, gaining hands-on experience that sets you apart. Through AI-focused projects like the team project and industry project, you’ll develop a solid foundation in managing and executing complex tasks. These projects not only sharpen your technical and problem-solving skills but also help you build strong connections with the industry. You'll have the opportunity to showcase your work during events where you meet professionals, bridging the gap between your studies and the real-world AI landscape.Shape the future with Artificial Intelligence? Do the check!The Bachelor of Creative Technologies & Artificial Intelligence (CTAI) is all about building and deploying full blown AI solutions. You will learn:You are curious about the inner workings of the latest AI breakthroughs, such as transformers, the magic behind DALL·E and ChatGPT.You want to learn which problems are suited for solving with AI.You want to discover how to harness ready-made AI tools and how to craft your very own neural networks.You want to be able to tackle every step of the AI pipeline.You want a hands-on training in artificial intelligence with a project-based approach.You want to learn how to solve real world use-cases.You want to learn from expert teachers and guest lecturers from the industry.You want to challenge yourself with an English study programme. Your class scheduleAn example of a typical study schedule is available here.Each week, you’ll have approximately 20 hours of class, combining 1-2 hours of theory with 3-4 hours of practical sessions for each course. This blend ensures a balanced and hands-on learning experience. Schedules vary yearly, the final class timetable is finalized and shared in September.As you can see we provide a dedicated study morning each week as well, offering students the opportunity to connect with lecturers for personalized support. Whether you need guidance on assignments, a deeper understanding of theory topics, or clarification on challenging concepts, this time is designed to help you succeed. It’s a valuable resource to ensure you stay confident, prepared, and fully engaged in your learning journey. Study Program AI Technologies In this first pillar, you will delve into the heart of AI. You will learn how to craft AI algorithms from scratch and efficiently prepare data. This comprehensive exploration covers everything from fundamental machine learning technologies to advanced techniques, including training reinforcement agents in virtual environments and mastering the latest breakthroughs in the course Generative AI. Programming The second pillar focuses on developing your programming skills, a critical foundation for mastering AI. In Basic Programming, you’ll start with fundamental concepts such as loops, functions, and object-oriented programming (OOP) using Python—the preferred language for most AI libraries and an invaluable tool for any AI professional.In your second year, you’ll transition to C#, where you’ll learn to build robust back-end solutions and create reinforcement learning environments in Unity. This combination of programming languages ensures you are well-prepared to tackle diverse AI challenges. AI Cloud In this pillar, you will learn to deploy and manage AI algorithms in cloud environments. The focus is on leveraging cloud services for scalable data pipelines, efficient data processing, and model deployment. You will master MLOps to automate the machine learning lifecycle and use containers and orchestration tools like Docker and Kubernetes for portability and resource management. By combining these skills, you will be able to develop scalable, robust, and production-ready AI solutions AI Data In the `AI Data` pilar you will develop the skills to effectively collect, process, visualize and leverage data for your AI projects. Learn how to explore optimal data storage techniques, utilizing tools such as Influx. Delve into data access through technologies like Elasticsearch. AI Integration You will learn invaluable skills with every AI-project you start. These projects will prepare you for the challenges of the real world:Project One: Develop the fundamentals of project management and learn how to tackle a project from start to finish all by yourself.Team Project: Collaborate with other students to solve a real problem provided by other Howest departments. You will use real datasets and master teamwork and communication along the way.Industry Project: Your team will work on a project by a partner from the industry. Address real-world challenges and deliver a proof of concept.Research and Innovation Project: Learn to dive into a new technology, a critical skill for any IT professional. This will help you to stay ahead and to ensure you stay adaptable in a fast-evolving industry.Each project builds on the last, ensuring you graduate with a well-rounded, practical skill set that employers value. Course unit descriptions for this study programme Job opportunities Once you’ve mastered the skills to identify, analyze, and solve real-world problems using AI, you’ll be ready to make a tangible impact across industries such as healthcare, finance, logistics, and more. Whether you aspire to lead the entire AI pipeline at a start-up, work as a data engineer in organizations of any size, or establish yourself as an independent AI consultant, the possibilities are endless.Here are just a few roles our alumni have successfully pursued:AI ResearcherAI EngineerAI Engineer / Backend DeveloperData EngineerData engineering consultantData scientistMachine learning engineerWith your expertise, you’ll be equipped to thrive in the ever-evolving world of AI. Quality education Quality assurance is embedded in the daily operation of our study programs. We continuously and systematically improve the quality of our programs. The involvement of students, professional field and alumni is crucial in this process. Read more about the quality assurance of our programs.The English-language Creative Technology & AI program started in academic year 2023-2024. We do not yet have an audit report or satisfaction ratings from recent graduates. For information on quality, please refer to the Dutch-language Multimedia and Creative Technology program. How to apply as an incoming international student All information on nominations, applications and tuitions can be found here. Info day Saturday 15 March FROM 10h TILL 16h Read more Come and visit us These are the next info days in Kortrijk: Sat15March Sat10May Sat28June All info days More info? Receive the brochure by post Subscribe to the newsletter of this study programme. First name Last name E-mail Leave this field blank Opleiding in beeld Our assets Registrations You can already register online for 2023-24. After completing registration, you will receive an email with all the info needed to complete your enrolment. Book your place at Howest now! Read more Experienced teachers Our lecturers bring over 10 years of experience teaching AI in the Dutch program, ensuring a deep understanding of the field and effective teaching methods. Many stay on the cutting edge of technology through active roles in the AI Research Lab or by collaborating with industry partners. To enhance your learning, we also invite guest lecturers from leading companies such as IBM and ML6, offering insights into real-world applications and the latest advancements in AI. This combination of expertise and industry connections ensures you receive the best learning experience possible. Read more Register now! Have you decided? We look forward to welcoming you to our Howest community! You can find all information about registering via the link below. Apply now FAQ If you can't find what you're looking for or if you have a specific question about this study programme, feel free to contact us. We are available every weekday between 9am and 5pm. You can also ask other questions to our contact person: Marie Dewitte Study Programme Coordinator Creative Technologies & Artificial Intelligence Contact Silke Vanloofsvelt International Admissions Officer Ask your question What is the essential difference between Multimedia and Creative Technologies and other IT courses? The keywords are "Creative with Technology" and "Multimedia" Technology. 'Agile' and creative use of technology is deeply rooted in the DNA of the programme. In other words: MCT people are trained to creatively implement new technology in companies that quickly switch to methods such as SCRUM. You will therefore find that MCTers perform more than average in start-ups, scale-outs, innovative SMEs and innovation departments of large companies. "Multimedia" technology refers to the fact that the MCTer uses technology to develop the multimedia interfaces of the future, such as a smart watch interface that also responds to your voice and actions or an Augmented Reality interface that integrates AI. What is the difference between Multimedia and Creative Technologies and other IT programs in terms of education and end goal? We believe that our students are 'inventors', 'technical creatives' ('the IoT Generation'). The ultimate goal of the Multimedia and Creative Technologies program is the realization of projects. Not one day a week or in 'a profession like there are more', but during an intense period of 5 to 6 weeks, in which you first try out the latest technology alone before taking it on in a group to bring it to life. During the project weeks you only focus on executing your project and you gradually discover your strengths and weaknesses. From the second year, you will receive team assignments from small and large companies that want to bring the 'MCT Silicon Valley spirit' into their company. They will ask your group to convert new technologies into a working proof of concept project (https://mct.be/projecten/). What laptop and other hardware do I need? In the case you buy a laptop through Howest, you can look here which laptop is recommended by your course. In the case you already own a laptop or wish to buy a new one yourself, it needs to qualify to the same specifications. Can I study abroad in this program? Would you like to study abroad for a semester? Or are you interested in an international internship? You can! You will discover all the opportunities to go abroad within Howest on this page. During your studies, we will work together to make your international adventure a reality! Do I need prior knowledge to start this course? No. Our team applies unique teaching methods, adapted to your prior knowledge. The only thing that is important is that you are present in class and practice the things that you are struggling with. Since Multimedia and Creative Technologies (MCT) trains you to become a professional who can realize real-life IT projects, doing nothing for weeks and only starting to study intensely in the last weeks before the exams is not a good option. Therefore, attending classes and updating your practical skills every week are very important. How big are the classes? In the first year you have about 30 percent theory. Then, exceptionally, you will be sitting together with 90 to 150 other students. Most classes, however, are in groups of 20 to 28 students. The further in the training, the more this is the case. During the project weeks you also work closely together in groups of three to four students.