Admission
profile for access
For the selection of students, the CV of candidate will be taken into account, in which the training received to date will be valued:
-
Statistics.
-
Programming, especially in R and Python or similar environments.
-
instructions of data.
-
Mathematical Optimisation and Operations Research.
-
Professional experience of candidate on these issues.
The profiles that enter come from different universities, countries of origin and educational backgrounds, enriching the student's experience.
Predominantly Engineering of all subject, Mathematics, Statistics, Physics, Economics o Administrator
INFORMATION AND CONTACT
José María González Gullón
Executive Director & Admissions Manager
jgonzalezg@unav.es
Campus Madrid Calle Marquesado de Sta. Marta, 3
28022 Madrid, Spain
+34 914 514 341 (Ex.850031)
ContactEconomic Information
The price of the enrollment for the 2023-2024 course is 17.900€.
Grants, discounts and bonuses:
-
Personalized price: up to 25% of scholarship for the best academic records and according to the family income level (economic bag until available funds are exhausted).
-
Cash discount: 5% in addition to any other discount, for cash payments before December 31, 2022.
-
large family: (8-16%)
-
UNAV Alumni: 12%.
-
scholarship Santander: dates to be specified call 23-24
-
As it is an official Master's Degree , it is eligible for scholarships from national and international organizations.
-
Possibility of financing for international students: deferred payment in 4 installments without interest or commissions
* To be able to apply for any scholarship, it is a requirement fill in the application of Admissions Office and to be admitted by the committee Academic
Scholarships and Grants
- Nationality: Spanish, European and Latin American
- subject: scholarship
- discount: 20%.
- Nationality: Spanish
- subject: scholarship
- discount: different types according to income thresholds
- Nationality: Spanish, European and Latin American
- subject: scholarship
- discount: 100% OF THE TIME
- Nationality: registered in Navarre
- subject: scholarship
- discount: different types according to income thresholds
- Nationality: registered in the Basque Country
- subject: scholarship
- discount: different types according to income thresholds
Gondra Barandiarán Foundation
- Aimed at: those who have studied engineering in the Basque Country programs of study
- subject: scholarship
ADMISSION AND ENROLLMENT
International
- Nationality: Mexican
- subject: credit /scholarship
- discount: 100%: 10% discount UNAV
- Nationality: Honduran
- subject: credit /scholarship
- discount: 100%: 10% discount UNAV + 90%. credit
- Nationality: Guatemalan
- subject: credit /scholarship
- discount: 100%: 10% discount UNAV + 90%. credit
- Nationality: Colombian
- subject: credit /scholarship
- discount: 100%: 35% discount UNAV + 65%. credit
- Nationality: Panamanian
- subject: scholarship full or partial
- discount: 100%: 10% discount UNAV
- Nationality: Chilean
- subject: scholarship complete
- discount: 100%: 10% discount UNAV
- Nationality: Peruvian
- subject: credit /scholarship
- discount: 100%: 15% discount UNAV + 85% credit /scholarship
For apply for admission, it is necessary to register at portal MiUnav and upload the required documentation:
CV/Resume. A document containing a maximum of 2 pages of the academic and professional experience of candidate.
2. transcript Academic/ Transcripts (certificate academic qualifications) of the degree of Degree
3. Payment of €100 for the admission fee fees .
The Admissions Service of the University communicates the resolution of the admission application, once it has been evaluated by the Academic Committee of the Official Master's Degree in Big Data Science.
If the candidate is admitted, he/she must pre-register for the Master (reservation from place) by the established deadline by paying a deposit of 3.000€, which will be deducted from the total price of the enrollment.
The pre-enrolment fee is non-refundable and must be paid in accordance with the instructions at Portal miUNAV.
Eligibility criteria
Given the limited number of places available, the selection process will be based largely on the evaluation of the candidates' CV/ Resume, the transcript Academic/Transcripts, and motivations for pursuing the Master's degree and specialising in this field. A personal interview may also be required.
In this way, the training received so far in statistics and instructions data; programming(Python, R or similar environments) or the professional experience of candidate in this field will be valued.
requirements Technical / Software
Each student should go to attend at class with their own laptop or laptop computer. The recommended requirements are:
1.- Computer with Intel Core I7 processor or higher.
2.- report 16 GB RAM (minimum 10 GB), to be able to dedicate at least 8G to a virtual machine.
3.- Configured with SSD disk/disks, for storage of the virtual machines.
4.- Operating System: Windows 10.
5.- BIOS: Virtualisation Enabled.
6.- Wifi and internet access enabled.
7.- Local Administrator Permissions.
8.- One of the following browsers installed locally: Windows Explorer, Google Chrome or Firefox.
9.- Min. 50 GB of local storage available
10.- In some subjects, we will install Virtual Box as a platform to import virtual machines.
11.- The programming software used will be mainly open source(Python, R).