Monday - Friday 15.00h - 19.00h
46,50 euros per credit (82 euros per credit for students who are not EU nationals and do not currently reside in Spain). Fees for the academic year 2016-2017.
Full time workload: 40 hours per week (including lectures and homework).
Part time workload: from 18 hours per week (including lectures and homework).
First application period ends 28/04/2017.
- Provisional announcement of admission decisions: 05/05/2017.
- Definitive announcement of admission decisions: 19/05/2017.
Second application period (if places remain available): 19/05/2017 - 12/06/2017
Ideally, applicants to this master's degree should hold an EHEA bachelor's degree in computer science, mathematics or an equivalent qualification, as well as possessing a strong academic record and a particular interest in the field of data science, with the goal of pursuing a professional career in data science in a company or public administration, or in sectors that require specialists with a high level of training in data analysis, interpretation and visualization (finance, bio-medicine, information and communication technologies, etc.) or to start a research career in topics related to data analysis. Independently of the bachelor’s degree of the applicant, knowledge on programming, calculus, algebra and statistics is required. Since the degree is taught in English, applicants should also possess a sufficient level of comprehension to be able to follow the course in this language.
This course is open to
Since the degree is taught in English, applicants must be in possession of an official title equivalent to B2 level.
The Coordination Committee will select applicants according to academic records and professional experience.
(* Eligible Course)
In order to successfully finish the master’s program, students are required to complete, durng the second semester, a capstone project. Capstone projects are “experiential” projects where students take what they’ve learned throughout the master program and apply it to examine a specific idea.
You can get a Double Master Degree on Foundations of Data Science (FDS) and Advanced Mathematics (AM) by completing, in 18 months, 60 ECTS of the UB Master on Foundations of Data Science plus the 3 mandatory courses and 3 optional courses from the UB Master on Advanced Mathematics.
This 93 (or 96) ECTS can be distributed as follows:
Please, contact us if you have any question.
Looking forward to hearing from you!