Applied Data Science and Artificial Intelligence
Help doctors to detect and predict diseases in an early stage. Or accelerate the energy transition by developing intelligent systems that predict our energy needs. Applied Data Science & AI is not just about numbers and algorithms, but about crafting solutions that enhance our daily lives.
Get ready to challenge real-world problems with a practical approach, using logic for instance. Technology is important, but there’s more to it. Embrace curiosity and creativity as part of your identity. You're not just learning about AI; you're shaping it. What is the impact of AI on society? What about ethics? Dive into understanding and influencing how humans and society interact with AI. If blending tech-savvy with a human touch excites you, then Applied Data Science & Artificial Intelligence is your calling.
As a student of Applied Data Science & AI, you become part of a vibrant learning community, receiving both individual guidance and support. Our community offers opportunities to network with industry professionals, participate in workshops and events that prepare you for your future career. Furthermore, we also organise social activities, which strengthen bonds among students and our local community.
- Transcript of Records – If you have not yet completed Secondary School, you must upload a transcript showing your current grades. You can find the transcript template here.
- Secondary School Leaving Certificate – If you have already completed Secondary School, you do not need to upload a separate transcript. Simply upload your Secondary School Leaving Certificate to the application.
Important! View the full requirements on the university’s official website. Requirements may vary depending on your nationality and the country where you completed your previous education.
You may not need to take IELTS or TOEFL. University usually allow you to prove your English proficiency in one of the following ways:
- TOEFL iBT*
- IELTS Academic
- A Cambridge English qualification
- A national English examination listed on your secondary school leaving certificate
- An English subject and grade on your secondary school leaving certificate that meet the university’s requirements
- Secondary education completed in English in a country or school qualification accepted by the university
- An International Baccalaureate (IB) or European Baccalaureate (EB) diploma
- Other
Important: Accepted methods and minimum results depend on study programme, your secondary school qualification and the country where you completed your education. Check the official requirements for your chosen study programme.
*Use the Kastu promo code LTU1000102 when registering for TOEFL iBT and receive a 5% discount.
A good knowledge of mathematics is important for being successful in this Bachelor’s program. Need to pass mathematics exam.
Data scientists and AI engineers are in high demand in the Netherlands, with a growing number of job openings and increasing salaries. According to LinkedIn's 2023 Emerging Jobs Report, Data Scientist is the third most in-demand job in the Netherlands.
- Data Scientist: Data scientists are responsible for collecting, cleaning, analyzing, and interpreting large datasets to extract meaningful insights and inform business decisions.
- Machine Learning Engineer: Machine learning engineers build and maintain machine learning models, ensuring they function effectively and meet specific requirements.
- Business Intelligence Developer: Business intelligence (BI) developers design and build BI dashboards, reports, and data visualizations to help businesses make informed decisions.
- Artificial Intelligence Engineer: Artificial intelligence (AI) engineers develop and implement AI-powered solutions, such as chatbots, virtual assistants, and image recognition systems.
- Data & AI Consultant: Data and AI consultants advise businesses on how to leverage data science and AI to improve their operations, enhance customer experience, and gain a competitive edge.
- Research and Development (R&D) Scientist: Involved in pioneering new AI-technologies or applications, often requiring a higher level of theoretical understanding.
