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BACHELOR OF SCIENCE
AI & MACHINE LEARNING ENGINEERING

Prepare for the hottest job in the tech age with an AI & Machine Learning Engineering Degree.

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WHY AI & MACHINE LEARNING ENGINEERING?

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TOP PAID ENGINEERING JOB
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MEDIUM SALARY
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JOBS OPENING IN EU

CURRICULUM

AI & MACHINE LEARNING CERTIFICATE

Year 1 & 2 | Online

AGILE DEVELOPER CERTIFICATE

Year 3 | Online

BACHELOR OF SCIENCE DEGREE

Year 3 | Project & Online (180 ECTS)

Are you curious to learn more about our Bachelor programmes? Join us for one of our monthly info sessions.

PROGRAMME DETAILS

ENROLMENT DATES

Total duration of Bachelor programme is 3 years Intakes: May, November Average course load is 25-30 hours per week.

PROGRAMME FEE

2900 Euro per year

EQUIP YOURSELF WITH THE RIGHT TECH SKILLS

AGILE FRONT-END & BACK-END PROGRAMMING

Use Python to manipulate, analyze and visualize data.

ANALYSING SOFTWARE REQUIREMENTS

Import data from various different sources.

DESIGNING SOFTWARE AND ARCHITECTURE

Convert raw data into a form ready for analysis. Implement data manipulation techniques prior to analysis.

DEVELOPING AND DEPLOYING SOFTWARE

Explore large sets of data. Communicate and present visually critical data-driven

DATA STRUCTURES AND ALGORITHMS

Apply statistical method to infer meaning from data and test hypotheses.

ENSURING SOFTWARE SECURITY

Build predictive models on structured and unstructured data. Determine the right approach to solve problems and find an optimal solution.

LEADERSHIP COMPETENCIES

ANALYTICAL THINKING

SELF-AWARENESS

STRUCTURED PROBLEM SOLVING

COMMUNICATING FOR IMPACT

TEAM PLAYING

TRUSTED ADVISOR

THE LEARNING EXPERIENCE

At ELU, you both 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:

  • At the start of the week, access your weekly course content and check your assigned project and understand what is required to complete it
  • Start engaging with your digital content in line with your project requirements
  • Attend your weekly workshop with a field expert to better prepare for your project and hear about industry insights
  • Organise an action learning set with your peers to discuss and tackle challenges together 
  • Book a group mentoring session with your programme mentor for additional support 
  • By the end of the week, submit your project and start a new weekly flow!

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