Econometrics and Operations Research: Econometrics and Data Science

A new specialization at VU Campus in Amsterdam
Kwaliteitszegel_topopleiding_2018_Top rated programme in Keuzegids Universiteiten 2018
The programme has been rated as one of the best Bachelor’s programmes in the Netherlands! Econometrics and Operation research is therefore given the distinction 'top rated programme' in the Keuzegids Universiteiten 2018. Students and education experts are especially enthusiastic about the quality of the study guidance, attainability, and the course content.


An inspiring study for the data challenges of tomorrow

The Econometrics and Data Science (EDS) is a new specialization in the Econometrics and Operations Research bachelor's programme. This specialization will offer you an inspiring and challenging study that is ideal for today’s digital world. The Econometrics and Data Science specialization is international oriented, fully taught in English, and will provide you with the necessary theoretical knowledge to succeed as an econometrician and data scientist for:
  • Companies providing services on the internet, such as Google, Amazon and Booking.com
  • Banks, financial institutions and consultancies, such as ING, ABN Amro and Deloitte
  • Economic decision centers, Research institutes, Central Banks and Governments

After having completed the Econometrics and Operations Research: Econometrics and Data Science Bachelor, you can become a specialist in analyzing complex economic and financial data. With your unique knowledge you can help shape the operations and marketing strategies of companies, the performances of banks, or the decisions of governments.

The disciplines at the core of the Econometrics and Data Science specialization: mathematics, computer science, statistics, econometrics, machine learning, economics, finance and marketing. With this specialization you will also explore the strong connection between econometric and machine learning techniques. This is a unique and promising feature of the Econometrics and Data Science specialization.

“There are a number of opportunities for fruitful collaboration between econometrics and machine learning.
Hal Varian (Chief Economist at Google)

This specialization will help you to develop an integrated perspective to Econometrics and Data Science. You will learn to think analytically and gain a balanced overview of diverse and interconnected issues on collecting, analyzing, modeling and forecasting data. You will also learn how to visualize data and how to present your findings, results and conclusions. The Econometrics and Operations Research: Econometrics and Data Science specialization is a technical and hands-on study that will prepare you for any future!

International experts in econometrics and data science are looking further

VU Amsterdam is an internationally oriented university campus and is engaged in world-class teaching and research. The Econometrics and Data Science specialization benefits highly from VU since the programme is truly multi-disciplinary. Our courses in the diverse fields of mathematics, computer science, statistics, econometrics, finance, marketing, and ethics are delivered by the key specialists in their fields who are all residing on the VU Campus in Amsterdam, opposite to the financial district Zuidas. The Econometrics and Data Science specialization is a co-creation involving four major stakeholders: academics, employers, current students and alumni. This has resulted in a uniquely positioned Bachelor specialization that develops international leading Econometricians and Data Scientists who can make their first steps into research, professional and citizen organizations. With this bachelor you will become a specialist in data analysis, valued by companies like Amazon, Booking.com, Google, Uber, etc. but also financial institutions, consultancy firms, e-commerce organizations, app-developers, start-ups exploring the latest developments such as App-Annie, PPC (pay-per-click), A/B testing, Fintech, etc.

Want to become an econometrician and data scientist?

Are you ambitious? Do you like mathematics? Are you internationally oriented? Do you want to develop your computer skills? Are you intrigued by the Big Data challenges in our societies? Do you want to enhance your analytical skills? Are you prepared to cross boundaries and borders? Do you want to study Econometrics? If so, we would be happy to welcome you as a Bachelor student Econometrics and Data Science at VU Amsterdam, close to the Zuidas.

After you have graduated from this specialization you will receive the title of Bachelor of Science (BSc) in Econometrics and Operations Research, specialization Econometrics and Data Science. We are in the process of acquiring a separate International BSc in Econometrics and Data Science and we are expecting the approval of this Econometrics and Data Science BSc in 2018. VU Amsterdam offers you a broad range of options for continuing your studies after you have completed your Bachelor study, see our Master's platform.

The Master's programmes in Econometrics and OR, Computer Science, Statistics, Business Analytics, and others are clear candidates for continuing your studies after the Econometrics and Data Science Bachelor. This specialization is also an excellent start if you want to launch your start-up company, because you will have gained an understanding of the latest developments in Data Science.

Admission criteria for international applicants
Applicants holding a pre-university diploma from another country must meet a number of requirements: 

1.       A diploma equivalent to the Dutch pre-university ‘VWO’ diploma
2.       Proof of sufficient proficiency in Mathematics
3.       Proof of sufficient proficiency in English

You are allowed to have a deficiency regarding these criteria at the time of application but the criteria should be fully met before the start of the programme. 

Mathematics
Examples of diplomas that demonstrate sufficient proficiency in Mathematics are:

  • International Baccalaureate: Mathematics Higher Level
  • UK: Mathematics A levels
  • Germany: Zeugnis der allgemeinen Hochschulreife, including Mathematics as Leistungsfach.

After you apply to the programme and upload the required documents in our Student Portal VUnet, the admission officer will have a look at your transcripts to determine whether your mathematics level is sufficient. If your proficiency in mathematics is considered to be insufficient, you will need to pass an entry test in mathematics.

Mathematics exams in the Netherlands

Both Boswell-Bèta and CCVX offer the mathematics B entry exam. The Boswell-Bèta Institute offers summer courses in the months June and July.

Mathematics exams abroad

  • Cambridge International A-levels 
  • Another option is to take an A-level mathematics exam at a registered Cambridge school. Please check here to find the nearest Cambridge school in your country.

Proof of sufficient proficiency in English
International applicants must take an English language proficiency test and submit their scores before 31 August 2018. Applicants who have completed their education in Canada, the USA, the UK, Ireland, New Zealand or Australia are exempt from this requirement, as are those who have obtained an International Baccalaureate or European Baccalaureate diploma (English-taught programmes only).

We accept the following tests and minimum scores:

  • IELTS: 6.5
  • TOEFL paper based test: 580
  • TOEFL internet based test: 92
  • Cambridge Advanced English (CAE): A, B or C
  • Cambridge Certificate of Proficiency in English (CPE): A, B or C

If you are already in the Netherlands, you can also register for a TOEFL test at VU Taalloket. Please note however that this test is only valid at VU Amsterdam. We only accept language tests that have been completed max. 2 years ago, counted from the date you start the Econometrics and Operation Research programme.

Nuffic Certificate for Chinese students 
Chinese students who wish to enroll in an English-taught programme at a Dutch higher education institution are required to apply for a Nuffic Certificate. Nuffic sends this certificate directly to the relevant Dutch higher education institution once it has been issued. More information on the Nuffic Certificate for Chinese students

Start September 2018?
Do you want to start the Econometrics and Operations Research programme in September 2018? Make sure to apply before the deadline of 1 May 2017! You are able to apply from 1 October 2017 via www.studielink.nl. After that you will receive a VUnet ID and password (in two separate emails). Be sure to complete your application in our Student Portal VUnet by uploading all the necessary documents.

Deadline:

International students who require housing facilities, as well as all non-EEA students, must apply before 1 April. EEA students who do not require housing facilities must apply before 1 May. You will be informed about your admission within four weeks after the completion of your application (including all required documents).

VU Matching is mandatory for this programme. it consists of completing a digital questionnaire and participating in the matching activity. You can participate in the matching activity in person on May 31 or June 1 (you can choose) or, in some cases, online.

The VU Matching Programme enables you to check whether you have chosen the right degree programme. The matching programme consists of two steps: a digital questionnaire on VUnet, which is part of the application process, and a online matching activity. By taking part in the matching activity, you can check whether the programme is really the right one for you.

If you apply for the programme before 1 May, the recommendation is not binding. If you apply after 1 May, the recommendation is binding. Please read more detailed information here.

Questions? Contact contact@vu.nl.
For students with a Dutch diploma: s.j.koopman@vu.nl.
For students with an international diploma: f.blasques@vu.nl.

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How will you be spending your time?

The specialization Econometrics and Operations Research: Econometrics and Data Science is a full-time study, all courses are taught in English and all other communications are in English. The programme takes three years to complete. An academic year has two semesters (September-January and February-June). A semester consists of two consecutive two-months blocks and a one-month block. You will work intensively on two courses simultaneously but some courses are spreaded over two blocks. During the one-month blocks at the end of the semesters, you will work on assignments in student teams. You will practice the academic skills, research methods and personal development, with an international orientation.

In the first year of the Econometrics and Operations Research: Econometrics and Data Science specialization, the focus is on providing you with more mathematical skills (Analysis and Linear Algebra), key programming skills (Introduction to Programming with C or Java), and the foundations in statistics (probability and mathematical statistics). We also offer introductory courses in data science, economics, finance and ethics, in the first year. The second year is truly focussed on Econometrics and Data Science with introductory and intermediate courses in numerical methods, econometrics, data science (data structures, information retrieval, databases), statistics (computational statistics, multivariate statistics) and ethics. Throughout the first two years of the Bachelor, several data science cases (practical and hands-on) need to be carried out by groups of students. During the first semester of the third year the student follows a Minor programme; our recommendation is the Minor Applied Econometrics: a Big Data Challenge for All. The second semester in the third year offers three in-depth courses (dynamic econometrics, machine learning and financial econometrics) and is completed with a Econometrics and Data Science Project Thesis that is developed in cooperation with a group of data science companies and includes a lecture series and personal support from well-known data companies.

This programme reflects the interdisciplinary nature of Econometrics and Data Science: working with data requires the mastery of many skills and concepts, including those traditionally associated with the fields of statistics, computer science, economics, finance, ethics and others. The Econometrics and Data Science bachelor blends much of the pedagogical content from these disciplines but it is not the simple intersection. The integration of courses, with a balanced focus on theory and application, is a fundamental feature of an effective Econometrics and Data Science specialization programme and results in a synergistic approach to problem solving.

In a nutshell, the key competencies for the specialization Econometrics and Operations Research: Econometrics and Data Science are

  • Mathematical foundations
  • Computational and statistical thinking
  • Econometric model building and assessment
  • Algorithms and software foundation
  • Data Curation
  • Knowledge transference, communication and responsibility

Therefore the subject areas of our specialization Econometrics and Data Science can be grouped as

  • Mathematics
  • Programming and Computing
  • Data retrieval, description and analysis
  • Statistics
  • Econometrics
  • Communication
  • Ethics

Semester 1
Calculus 1 and 2
Introduction to Programming
Introduction to Data Science
Data Analysis 1 in R

Semester 2
Linear Algebra
Statistics
Macroeconomics
Corporate Finance
Data Analysis 2 (in Python)

Semester 1
Data Structures and Algorithms
Information Retrieval
Numerical Methods
Introduction to Econometrics
Case: Computational Statistics

Semester 2
Databases
Data Science Methods
Econometrics
Multivariate Statistics
Ethics
Case: Data Science Project

Semester 1
Minor programme

Semester 2
Dynamic Econometrics
Machine Learning Methods
Financial Econometrics
Econometrics and Data Science Project Thesis

Semester 1
Calculus 1 and 2
Introduction to Programming
Introduction to Data Science
Data Analysis 1 in R

Semester 2
Linear Algebra
Statistics
Macroeconomics
Corporate Finance
Data Analysis 2 (in Python)

Semester 1
Data Structures and Algorithms
Information Retrieval
Numerical Methods
Introduction to Econometrics
Case: Computational Statistics

Semester 2
Databases
Data Science Methods
Econometrics
Multivariate Statistics
Ethics
Case: Data Science Project

Semester 1
Minor programme

Semester 2
Dynamic Econometrics
Machine Learning Methods
Financial Econometrics
Econometrics and Data Science Project Thesis

Overview Econometrics and Operations Research: Econometrics and Data Science

LANGUAGE OF INSTRUCTION

English

DURATION

3 years (fulltime)

TUITION FEE

APPLICATION DEADLINE

1 April

START DATE

1 September

STUDY TYPE

Full-time

VWO Profile

NT or CM/EM/NG with Mathematics B

FIELD OF INTEREST

Economics, Business and Law
Behavioural and Social Sciences
Computer Science, Mathematics and Business


AACSB

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