Overview
During the Data Science and Artificial Intelligence MSc from Université Côte d'Azur students will receive a thorough grounding in theory, while also learning the technical and practical skills needed in data science and artificial intelligence, enabling them to apply advanced methods to investigate real-world problems.
Key facts
- The core courses will give students a comprehensive understanding of some of the most fundamental aspects of data, computational techniques, and statistical analysis.
- The programme combines traditional lectures with computer lab sessions, where students will work with data to complete hands-on exercises using programming tools, and analyze real data provided by professionals working in the industry.
- Upon completing the MSc in DSAI, students can pursue careers in companies as experts or engineers in fields such as development, research and development, and consulting services related to artificial intelligence, machine learning, and data processing.
- They may also choose to continue their training by undertaking a doctoral thesis, which can be carried out either in an academic research laboratory or within a company, for example, through a CIFRE contract.
Join the job market
- Data analyst
- Data mining
- Data scientist
- Chief data Officer
- Machine learning engineer
- Big data engineer
- Big data architect
- Specialist in data visualization
Programme Structure
Courses include:
- Ethical Aspects of Data
- R Programming for Data Science
- Python Programming for Data Science
- Distributed Big Data Systems
- Model Selection and Resampling Methods
- Optimization for Data Science
Audience
The MSc in Data Science & Artificial Intelligence is for students with strong skills in mathematics, statistics, algorithms, and programming. It suits motivated, analytical learners ready to master advanced data science and AI methods and apply them to real‑world challenges in a rigorous, research‑driven programme.
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
Credits
Delivered
Campus Location
- Sophia Antipolis, France
Disciplines
Data Science & Big Data Artificial Intelligence View 55 other Masters in Data Science & Big Data in FranceWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- To be eligible for the MSc in Data Science and Artificial Intelligence, a strong background in Mathematics and Computer Science is essential. Specifically, applicants must have completed sufficient coursework in Statistics, Probability, Algorithms, and Programming.
- As part of the application process, candidates will be required to download and complete a document detailing the relevant courses they have taken, including course content, grades, and other relevant information in the four mentioned areas.
- To apply for the MSc, students must have completed 180 ECTS (European Credit Transfer and Accumulation System) before starting the first year of the program. A bachelor's degree (3-4 years of study) is required prior to the start of the MSc.
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
Studyportals partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Université Côte d'Azur and/or in France, please visit Student Insurance Portal.
Tuition Fees
-
International Applies to you
Applies to youNon-residents5500 EUR / year≈ 5500 EUR / year -
EU/EEA Applies to you
Applies to youEU/EEA Nationals5500 EUR / year≈ 5500 EUR / year
Additional Details
EU: Rate will be determined according to the student’s household's country of tax residency
- <€35000: €300
- €35000-€50000: €2500
- €50001-€80000: €4000
- >€80000: €5500
Living costs
Sophia Antipolis
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
For more information about scholarships please see: https://univ-cotedazur.eu/msc-programs/tuition-fees/are-you-an-international-student
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Science and Artificial Intelligence.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility