

Master in Big Data Analytics
- Public University
Computer science and Engineering department
Master in Big Data Analytics at UC3M Overview
International students can pursue Master in Big Data Analytics at PG level at Universidad Carlos III de Madrid. The duration of the course at the university is 1 year. The course is among the top-ranked courses in the International students must meet the entry requirements such as complete academic qualification, a valid test score in exams such as IELTS and TOEFL to be eligible for the course. The Universidad Carlos III de Madrid tuition fee for international students for Master in Big Data Analytics is around Euro 7,200 (INR 797,256) for first-year. Students must manage additional costs such as:
- Rent
- Hostel fees
- Food, books
- supplies
- Utilities, etc.
Duration | 1 year Get Curriculum |
Tuition & Fees | ₹7.69 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
When planning for the Master in Big Data Analytics, applicants should consider the financial aspects involved. Every student must pay the first-year tuition fee of Euro 7,200 (INR 797,256). Additionally, it is also important to account for living expenses such as accommodation, food, and utility costs. Such expenses may vary according to living styles and other fees added by the Universidad Carlos III de Madrid. However, accordingly to the official website the average cost of living that international students have to bear is Euro 9,600 (INR 1,063,008), annually. To know about the complete breakdown of the Universidad Carlos III de Madrid Master in Big Data Analytics fee structure and all other cost-element-wise expenditures for an elaborate cost overview, please check the table below.
| Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 7,69,333 |
| Application Fee | INR 2,992 |
| Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 10,25,778 |
| Transportation | INR 25,644 |
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

Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- No specific cutoff mentioned
- 72 - 94
-
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Calculate your score and check your eligibility at over 2000+ universities.
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 |
|---|---|
| #151 | |
| #501 | |
| #76 |
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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