

Master in Big Data Analytics
- Public University
Computer science and Engineering department
Master in Big Data Analytics at UC3M Overview
Universidad Carlos III de Madrid is one of the finest universities in Spain. Universidad Carlos III de Madrid provides Master in Big Data Analytics at PG level. The duration of this course is 1 year. This course attracts students from all over the world. To enrol in this course, international students must fulfil all the admission requirements. The admission requirement at the Universidad Carlos III de Madrid include standardized tests like IELTS and TOEFL. The first year tuition fees Universidad Carlos III de Madrid for Master in Big Data Analytics is EUR 7,200. Moreover, the students must be ready for other expenses such as rent, hostel fees, food, books, supplies, utilities, etc. The average cost of living at Universidad Carlos III de Madrid is EUR 9,600.
Duration | 1 year Get Curriculum |
Tuition & Fees | ₹7.37 Lakh Get Fees details |
International Students Admission Website | Go to Website |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
Master in Big Data Analytics at UC3M Fees
The Universidad Carlos III de Madrid Master in Big Data Analytics fees includes first year tuition fee and cost of living for international students. The first-year tuition fee is around EUR 7,200. In addition to tuition costs, international students must manage their living expenses such as housing, food, and other utilities, which contribute to the total cost of living, estimated at EUR 9,600. The Universidad Carlos III de Madrid cost varies depending on the additional cost.
Refer to the table below for a detailed fee breakup of the Universidad Carlos III de Madrid Master in Big Data Analytics.
| Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 7,37,064 |
| Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 9,82,752 |
| Transportation | INR 24,569 |
Master in Big Data Analytics at UC3M Curriculum
Applicants can click on the green button below to download and check out the Universidad Carlos III de Madrid Master in Big Data Analytics curriculum. The curriculum PDF includes detailed information about the course such as requirements, concurrent program options, tuition fees, deadlines, career opportunities, etc.
Download exam sample paper
Master in Big Data Analytics at UC3M Entry Requirements
- No specific cutoff mentioned
- No specific cutoff mentioned
- Read less
- The candidates should have a UG degree in any of the following areas
- Computer Science, Telecommunications Engineering, Statistics ,Mathematics, Physics and Industrial Engineering
- Candidates with other backgrounds like Business/Administration, Economics, Medicine or Health Science could also be considered
- But they should justify required levels of knowledge in the fields of Mathematics Algebra and Calculus, Statistics Probability and Inference and Computer Science basic programming skills

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Out of 10
- No specific cutoff mentioned
- 72 - 94
-
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Out of 10
- No specific cutoff mentioned
- 5.5 - 6.5
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- Not mentioned
Master in Big Data Analytics at UC3M Rankings
| Rank | Rank Publisher |
|---|---|
| #201 | |
| #401 | |
| #101 |
Master in Big Data Analytics at UC3M Highlights
- Our Master program is oriented towards the training of people interested in working in data analytics, and in particular of analytics involving the evaluation of very large volumes of data in companies and organizations. Master’s students, either recently graduated or professionals, will receive both additional formation in the basic foundations of the analytics methods used for Big Data, and familiarity with their potential applications in different areas of interest.
- Particular emphasis will be placed on the use of applications based on analytic languages such as R and Python. The courses will also introduce data storage and processing paradigms such as MapReduce or noSQL, and their implementations (Hadoop, Storm, Spark, etc...), as well as cloud storing and computing methodologies.
- This knowledge will prepare them to handle large data sets and to conduct complex statistical and computational analysis of these data, to obtain results in pattern identification, prediction, forecasting, simulation or optimization, relevant for the improvement of the efficiency in the activities of companies and organizations.
- As an illustration of this potential demand, the French government expects that the needs for professionals with these qualifications during the coming five years on the whole of the EU will be in excess of 300,000 persons. In Spain, the use of these techniques is expected to increase by at least 300% in the next three years.
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