Applied Mathematics / Data Science

Uczelnia
Inholland University of Applied Sciences
Miasto, kraj
Sluisbuurt (Amsterdam), Netherlands
Czas trwania studiów
4 lata
Zakres programowy
Data Science & Big Data, General Engineering & Technology, Applied Mathematics, Mathematics
Koszty studiowania
2530.00 EUR
Język nauczania
English (ENG)
Rodzaj studiów
Bachelor
Rozpoczęcie studiów
2024-09-01
Zakończenie rekrutacji
2024-04-25
O programie
Wymagania rekrutacyjne
Możliwości kariery
Data Science = the brains behind smart decisions.

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.

Wymagania rekrutacyjne
  • Wypis ocen – jeśli wciąż się uczysz i dlatego nie masz jeszcze świadectwa ukończenia szkoły średniej, bardzo ważne jest załączenie wypisu. Szczegółowe informacje na temat sposobu wypełniania tego dokumentu oraz termin jego przesłania znajdziesz tutaj.
  • Świadectwo dojrzałości i świadectwo ukończenia szkoły średniej – w przypadku ukończenia szkoły średniej nie potrzebujesz wypisów ocen – wystarczy, że do formularza aplikacyjnego załączysz Świadectwo dojrzałości wraz ze świadectwem ukończenia liceum lub technikum.

Przed aplikacją sprawdź wymagania bezpośrednio na stronie uczelni. W przypadku problemów ze znalezieniem szczegółowych, aktualnych wymagań, skontaktuj się z konsultantami Kastu.

Wymagania odnośnie języka angielskiego

Spełnienie wymagań w zakresie języka angielskiego można udokumentować w następujący sposób:

  • IELTS - 6.0
  • TOEFL – 80
Dodatkowe wymagania
  • Matematyka na rozszerzeniu na maturze - nie jest konieczna, ale jest zalecana.
  • Study Choice Check - formularz online, dotyczący motywacji (po zaaplikowaniu)

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