MSc Big Data
Introduction
MSc Big Data is a Masters program taught at Ecole pour l'Informatique et les nouvelles Technologies, France. Intake: Fall, Spring. The program is offered in campus-based modes with full-time (1–2 years) options.
Course Overview
The MSc in Big Data at Ecole pour l'Informatique et les nouvelles Technologies offers a comprehensive understanding of data analytics, machine learning, and data engineering. The curriculum is designed to equip students with the necessary skills to navigate the ever-evolving world of data science. Covering topics such as data mining, artificial intelligence, and big data infrastructure, this program prepares graduates for the challenges posed by massive data sets in various sectors.
This Master's program involves both theoretical learning and practical application, featuring hands-on projects and collaboration with industry partners. Throughout the course, students will develop proficiency in programming languages and tools essential for data analysis, including Python, R, and Hadoop. As technology continues to transform industries, the university's location provides an ideal setting for immersion in a tech-savvy environment, fostering innovation and creativity.
By the end of the program, students will have gained critical analytical skills and experience, enabling them to turn raw data into valuable insights. The emphasis on real-world applications ensures that graduates are well-prepared to address complex data-related challenges in their respective career paths.
Admission Requirements
The minimum requirements for admission in MSc Big Data at Ecole pour l'Informatique et les nouvelles Technologies for all applicants (Domestic or International) are:
- program specific academic requirment set by Ecole pour l'Informatique et les nouvelles Technologies.
- English Language OR any other language requirments as set by Ecole pour l'Informatique et les nouvelles Technologies as pre-requiste for admission in MSc Big Data.
Note: Please check the university website in the link below.
Entry Requirements
To apply for the MSc in Big Data, candidates typically need a Bachelor's degree in a relevant field such as Computer Science, Mathematics, or Engineering. A strong foundational understanding of programming and data structures is preferred to ensure that all applicants can successfully engage with the coursework. Relevant professional experience can also be advantageous and may be taken into consideration during the admissions process.
English Requirements
Non-native English speakers are generally required to demonstrate proficiency in English through standardized tests such as IELTS or TOEFL. Typically, a minimum IELTS score of 6.5 is expected, with no band lower than 6.0, or a TOEFL score of around 90. It is advisable for applicants to check exact score requirements directly as they may vary.
Courses Units
Please check detail of study units at https://www.epitech.eu/programme-grande-ecole-informatique/
More Information
Career Outcomes
- Data Analyst
- Data Scientist
- Machine Learning Engineer
- Big Data Engineer
- Business Intelligence Analyst
- Data Architect
- Quantitative Analyst
Scholarships
38 fully funded scholarships are listed for France. See France scholarships.