During the programme

The Master Next Level Engineering (MNLE) will equip you to work with a system and data perspective embedding new technologies or methodologies in companies and organizations and working towards meaningful change with real impact. The program consists of four blocks, of 15 EC each; Systems, Data, Change, Impact. You will gain specific theoretical knowledge with practical applications, and you will work on professional and research skills. Impact consists of your final graduation project. 

Students working on a group assignment

Within our program, your development is central. We expect you to work on a portfolio. In each block, you will work on assignments that will be added to your portfolio. We will evaluate these assignments by means of feedback from lecturers, experts, and fellow students. At the end of each block, your development is being assessed for the final time.

Throughout the whole year, you will receive support from your fellow students in a learning team.

Content of the Master Next Level Engineering

In block A you will learn how to take a leading role in the development of new systems through prototyping, modelling, and the application of professional and research skills. This is underpinned with an introduction to the field of Systems Engineering. After this block, you will be better equipped to tackle more complex engineering projects that require a more multidisciplinary approach and a system view.

Block A provides four areas of application to work in. You:

  • experience the whole curriculum of the program in a single bootcamp week with a hands-on assignment
  • work, together with the whole class, on a relevant industry case study with a large-scale system.
  • work on an interdisciplinary project by researching a problem for company or organization, focusing on developing a system that meets this problem.
  • work on an individual application of systems engineering including modelling & simulation

The content of this block is organized in different tracks.

Tracks Block A

In this block, the focus is on data. How can you utilize all the data that is available nowadays effectively in your engineering projects? How can you be an effective engineer in a world that becomes more digital and data-driven each day? You will learn how to collect and transform data into usable information, using the latest techniques and approaches in the field of Data Science. The block covers both the more traditional aspects of data analysis, such as working with data and supervised learning, but also more advanced themes, such as machine learning.

Block B provides four areas of application to work in. You:

  • kick-start the block with a week-long bootcamp that shows you how easy and fun it is to create tangible results with a data science approach.
  • work on a relevant industry case study which requires the use of a Data-driven engineering approach, together with the whole class.
  • continue to work on an interdisciplinary project but will enrich the project with a specific data perspective.
  • work on an individual specialization project in which you delve deeper into a specific area such as computer vision, Edge AI & Internet of Things or perhaps even Natural Language Processing.

Within block B, the following topics can be identified:

Block C is about change within complex systems. It’s about making a difference, setting innovations in motion and taking steps towards significant system improvement. How to make sure that developing new (technological) systems leads to meaningful and responsible change for users, environment and the company. It requires engineers that blend their skills and competencies of previous blocks with high context-awareness, high self-awareness, the competency to organize themselves, while being well-connected to multiple communities and understanding the effects of the change on the larger (holistic) system.

Block C provides four areas of application to work in. You:

  • revisit the projects in block A and B and rethink their solutions, the way it was approached, chosen system boundaries and its possible effects, and the role that Systems Engineering or Data Science played.
  • will use a rich societal case in class to explore a variety of complexity models.
  • do a scientific experiment, full-cycle, and apply the results either as starting point for a final project or as a spin-off following up on a project in block A and B.
  • elaborate a detailed project proposal for your individual graduation project in block D at a research group or a company. This final proposal is not just ‘a’ project proposal, but selected from a large variety of possible approaches dealing with a complex context in which your graduation project will intervene.

Block C provides four topics to work on (or ingredients to work with).

Tracks Block C

In this final block, you will work full-time on the execution of your final graduation project that you have planned in block C – Change. This means you will be embedded full-time at an organization or company of your own choosing.

Throughout the block, several “back-to-school” days are organized in which you will have the possibility to follow specific expert workshops where we will support you with additional theory or practical examples. But you are also in the lead, as you will have the opportunity to get extra feedback sessions with lecturers on e.g. topics from the Systems, Data and Change blocks. These days are also intended to share experiences and learn from your fellow students.

Contact

12
Hours a week
  • 40%Individual work
  • 60%Groupwork

Selfstudy

28
Hours a week
  • 60%Practice
  • 40%Theory

    Would you like to know more about this programme?

    Next Level Engineering students are expected to form an active and reinforcing learning community. This community consists of you and your fellow students and if necessary, teachers of the core team. This community is similar to a group of co-workers in your future work environment. You will work independently but together when needed, all working towards the same goal: making a success of your Master Program.

    You are expected at Hogeschool Utrecht for an average of four days a week to work together in project groups and your learning team.

    All of the programmes at HU University of Applied Sciences are tested and approved by the Accreditation Organisation of the Netherlands and Flanders (NVAO).

    Use our tuition fee calculator to find out what you will be paying. Additionally, you can expect to pay between € 250 and € 500 for books, materials and excursions.

    Why study Master Next Level Engineering at HU?

    • Applied Master programme

      Study hands-on complex problems in the engineering field that require a Master’s approach; real Applied Science.

    • Master of Science in one year

      This ambitious programme is demanding, so you have to be motivated to study hard. You will obtain a Master of Science (MSc) in one year.

    • Applied Master in Utrecht

      Centrally located in the Netherlands. As a city with many students, Utrecht offers you great opportunities during your study and for your professional life afterwards.

    "The study material presupposes that you learn independently"

    Tjelvar van Zuijlen (23) student