Earn a bachelor degree with 180 ECTS on elite machine learning engineering with:
Graduate with a bachelor degree and two professional certifications
Year 1 & 2 | Online
Year 3 | Online
Year 3 | Freelance Project & Online
Some machine learning engineers work for the world’s top tech companies, others work for themselves. As a data scientist, you can work anywhere in the world and under the terms you want.
Both a designer and a developer, a ML engineer is a critical chain to any business. Gain next generation skills that you can apply in any industry.
Start a reputable career with endless job opportunities. The demand for data scientist is projected to continue to increase, find a high-paying job when you graduate.
Are you tired of endless lectures, exams, and textbooks?
Join a new approach to learning and education that values and empowers the learner.
With our online programme, you can study anywhere in the world. Since our degrees are part-time, you have time to start or continue your professional career while you master software engineering.
Online studies are not necessarily lonely. You will have weekly workshops with your course facilitator and live sessions with your mentor and peers to get the best of ELU's experience.
Increase your practice by working on real projects. Showcase your learning in a strong portfolio that shows you are ready to join the job market by mastering the world's most in-demand skills.
Our courses teach you more than tech. Learn the tools, techniques, and strategies you need to excel in leadership skills like communication, teamwork, and consultancy.
Total duration of the Bachelor Programme is 3 years. | Average course load is 12-20 hours per week.
Students can pay in 1, 2 or 4 installments per year.
We accept applications on a rolling basis.
No application fee. Pay the 250 Euro nonrefundable registration fee only when you are accepted and are ready to book your seat.
European Leadership University is accredited by Accreditation Service for International Schools, Colleges and Universities (ASIC) which is an independent body providing accreditation services for independent, further, and higher education colleges.
ELU is officially recognized and registered at CRKBO (Centraal Register Kort Beroepsonderwijs). The CRKBO (Dutch “Centraal register Kort Beroepsonderwijs”) is the Central Register for Short Vocational Education.
European Leadership University (ELU) proudly announced that it Is recognized as an EU Research Institution with Research Sponsorship Status according to Directive (EU) 2016/801 and also is listed in the National Academic Research and Collaborations Information System (NARCIS).
Enjoy flexible self-study and being part of a learner community. Get hands-on practice with your weekly projects and assignments and learn with and from your faculty and peers. In practice, a typical week would look like this:
Basic software engineering principles, variables, functions, loop statements, if statements, basic algorithms and data structures.
Javascript
IDE
Terminal
Cover fundamental computer programming concepts and learn the basics of C. Build a solid foundation in back-end programming including pointers, arrays, strings, algorithms, hash data structures, software architecture, blockchain basics and more.
C IDE Assembly
Learners move on to Python and the fundamentals of machine learning, covering regressions, training sets, structured vs unstructured data, and data collection, display, and storage. Learners also cover some of the cloud-based tools available for ML.
Python
Pytorch
Jupyter
Perhaps one of the more challenging tracks, learners dig into advanced machine learning algorithms, linear regression and classification, neural networks, logistic regression, optimization and performance, support vector machines, supervised vs unsupervised learning, Kaggle and large/complex data sets, reinforcement learning.
Python, Panda, Tensor Flow, Keras, Jupyter
Learners complete a final program project that aligns with the industry in which they want to get a job. The project must be about 3 months in duration and of significant technical difficulty. Learners will also contribute to open source
projects from Kaggle.
Python, Panda, Tensor Flow, Keras, Jupyter
Agile Freelancing and Open Source Projects: The outcome of the final project module is intended to be a submission of a freelance project along with a written report and a presentation that will satisfy the assessment criteria. It is aimed to ensure that you progress towards your project with high expectations of a successful outcome and thus planning is a crucial part of your process
The Bachelor of Science in Data Science is a rigorous, entry-level bachelor’s programme. Whether you have 10 years of work experience, or are just getting started, this programme will help you gain all the skills you need to start working as a software engineer.
This programme is suitable if:
If you are unsure whether you meet the prerequisites for the course, please write us at admissions@elu.nl