Applied Mathematics / Data Science

Universitetas
Inholland University of Applied Sciences
Miestas, šalis
Sluisbuurt (Amsterdam), Netherlands
Studijų trukmė
4 m.
Programos sritys
Data Science & Big Data, General Engineering & Technology, Applied Mathematics, Mathematics
Studijų kaina
2601.00 EUR
Studijų kalba
English (ENG)
Laipsnis
Bachelor
Programos pradžia
2025-09-01
Stojimo pabaiga
2025-04-01
Apie programą
Stojimo reikalavimai
Karjeros galimybės
Applied Mathematics = Shaping the world with numbers and code.

Applied Mathematics/Data Science is a 4-year bachelor programme that develops and trains your skills in mathematics and programming and teaches you to apply them to real-world situations as early as Year 1. Structured to provide you with as many opportunities as possible, by the end of Year 2 you will be well-rounded enough to confidently pursue any specialisation that takes your fancy.

You will explore the field of Data Science and other related career paths through individual and team projects, and work on the soft skills you want to gain as a working professional. Read on to find out more!

Applied Mathematics / Data Science offers you an international and interactive environment full of like-minded individuals from all over the world. Meaning: you will work often as a team and pick up new perspectives from different cultures, flavours and ways of thinking. It can be scary to start on a new adventure alone, so we made certain no one has to be. You will present ideas and do projects together, learn directly from field professionals, and get a lot of personal attention as well as personal space. You’ll also receive plenty of chances to come up with and realise your own creative ideas.

We do a few things differently!

Let's get you up to speed:

  • 95% of our students have jobs specific to this course 1,5 years after graduation.
  • We are a small-scale, international community. Over half our students come from abroad, staff know all the students by name and second-year students are always ready to help out first-years.
  • This course covers all of the many aspects of Applied Mathematics, but focuses in particular on the thriving field of Data Science. You get a unique combination of two fully developed, data-driven skill sets: Mathematics and Information Technology.
  • The curriculum covers both in equal measure, to ensure you have a wide variety of specialisations and follow-up courses to choose from.
  • Theory is key to building a solid education, but a lot of our projects involve real-life clients and companies too. Get live experience and start your network early on!
  • Data Science as a whole can be your chosen field of specialisation, or you can pick a more concrete field within it such as AI or Machine Learning. You could even go for App Development and more.
  • Mix and match your many new skills around an ideal career in tech, business, media, music, gaming, the list goes on. It’s up to you!

Find the program brochure here.

Reikalaujamas išsilavinimas
  • Pažymių išrašas - jei dar nesi baigęs mokyklos, būtina prisegti pažymių išrašą. Smulkesnę informaciją kaip pildyti išrašą ir kada jis reikalingas, rasi čia.
  • Brandos atestatas – jei jau esi baigęs mokyklą, išrašo nereikia, užtenka anketoje prisegti savo Brandos atestatą.

 

 

Pastaba! 

  • Motyvacinis laiškas yra NEprivalomas dokumentas stojant į šio universiteto programas.
  • Vienas iš stojimo etapų yra Study Choice Check - dažniausiai klausimyno forma.

 

Anglų kalbos reikalavimai

Anglų kalbos žinias gali patvirtinti vienu iš šių būdų:

  • turėti anglų kalbos pažymį Brandos atestate ir išlaikyti Anglų kalbos valstybinį egzaminą (egzamino rezultatas nėra svarbus, svarbiausia, kad jį išlaikytum)*

           arba

  • išlaikyti IELTS arba TOEFL testą.

*Jeigu nori pasitikrinti ar tavo anglų kalbos žinios yra pakankamos studijuoti Nyderlandų aukštosiose – suteikiame galimybę laikyti Oxford anglų kalbos testą. Nors anglų kalbos testas nėra reikalaujamas, patartina žinoti savo galimybes ir kalbos lygį.

 

Jobs most common in Data Science

  • Data Scientist
  • Software or Data Engineer
  • Data or Business Analyst
  • AI or Machine Learning Engineer
  • Back-end IT Consultant
  • Database manager

And a few options within broader Applied Mathematics

  • Business Intelligence Analyst
  • Software or App Developer
  • Supply Chain or Logistics Analyst
  • Risk or Finance Analyst
  • Accountant or Actuary
  • Reliability Engineer