MSc in Data Sciences

Université Côte d’Azur (UCA)

Program Description

MSc in Data Sciences

Université Côte d’Azur (UCA)

Join the most strategic field of the digital economy and learn its fundamental methods and algorithms with the "Data Science" MSc program at Université Côte d'Azur!

  • Degree: Master of Science (MSc)
  • FI (initial training)/FC (executive training)/FP (continued training)
  • Duration: 2 years
  • Location: Nice Campus Valrose
  • Language: English


Data Science is an emergent field of activity, which will become increasingly vital to the digital economy in the coming years. This requirement is mainly due to our increasing capacities in data acquisition and processing. The "Data Science" MSc at Université Côte d'Azur prepares future specialists in mathematical techniques and computer tools necessary for the extraction of knowledge from masses of data.


Objectives

The "Data Sciences" program is a 2-year MSc at Université Côte d’Azur. It provides training in data science methods, emphasizing mathematical and computer science perspectives. Students will receive a thorough grounding in theory, as well as learning the technical and practical skills of data science enabling them to apply advanced methods of data science to investigate real-world questions. The core courses will provide students with a comprehensive understanding of some of the most fundamental aspects of data, computational techniques, and statistical analysis. Students will then choose courses from a range of optional modules ranging from Distributed Computing for Big Data and Statistical Computing to Financial Statistics, Management, and Marketing. The program will combine traditional lectures with computer lab sessions, in which students will work with data to complete hands-on exercises using programming tools, and analyze real data provided by professionals who are working in the industry. The "Data Science" MSc also leads to Ph.D. programs in the area of applied mathematics and computer sciences.


Program and content

The "Data Sciences" program is a 2-year MSc at Université Côte d’Azur. It provides training in data science methods, emphasizing mathematical and computer science perspectives. Students will receive a thorough grounding in theory, as well as learning the technical and practical skills of data science enabling them to apply advanced methods of data science to investigate real-world questions. The core courses will provide students with a comprehensive understanding of some of the most fundamental aspects of data, computational techniques, and statistical analysis. Students will then choose courses from a range of optional modules ranging from Distributed Computing for Big Data and Statistical Computing to Financial Statistics, Management, and Marketing. The program will combine traditional lectures with computer lab sessions, in which students will work with data to complete hands-on exercises using programming tools, and analyze real data provided by professionals who are working in the industry. The "Data Science" MSc also leads to Ph.D. programs in the area of applied mathematics and computer sciences.

First year

  • S0: M10 - Refresher courses
  • S1: M11 - Statistical inference
  • M12 - Data mining and big data
  • M13 - Workshops and ethical aspects
  • S2: M14 - Theory of statistical learning
  • M15 - Practice of machine learning
  • M16 - Data visualization and distributed systems
  • M17 - Case studies
  • M18 - Options (track-dependent)
  • S3: M19 - Internships

Second year (track "Data Science for Research and Development", 5 modules to choose)

  • S1: M21 - Learning in high-dimensions
  • M22 - Bayesian and advanced learning
  • M23 - Data analysis
  • M24 - Medical and networked data
  • M25 - Random Fields and system performance
  • M26 - Deep learning and web mining
  • M27 - Information theory and smart cities
  • M28 - Data streams and e-health
  • S2: M29 - Internship

Second year (track "Data Science for Marketing, Finance, Business, and Development")

  • S1: M31 - Data Mining for Finance
  • M32 - Big Data Applications for Financial Markets
  • M33 - Marketing Modeling
  • M34 - Management
  • M35 - Mathematical Finance
  • M36 - Case Studies
  • M37 - Maths module (to choose in track A)


Tuition fees

Tuition fees: 4000€ per year - The tuition fee may vary according to your residence status, namely if you are a resident of an EU country or of a country outside the EU. In addition, financial aid (need-based or merit-based scholarships) will be available to students, and other sources of funding will also be available through each training course.


Admission

Admission will be based on application files and, ultimately, on an interview. Applicants will be asked to write a proposal for a Data Science project that they will be able to develop during the first year if they are selected.


Future careers

Graduates will be competitive for positions both in private companies and public research institutes. They will be prepared to succeed in positions such as data scientists, data miners, or research assistants. Further research at the Ph.D.-level will prepare graduates for careers as research engineers or research. We also expect that our partners will offer several positions to our most competitive graduates.

This school offers programs in:
  • English


Last updated November 1, 2018
Duration & Price
This course is Campus based
Start Date
Start date
Sept. 2019
Duration
Duration
2 years
Full time
Price
Price
8,000 EUR
4000€ per year - The tuition fee may vary according to your residence status, namely if you are a resident of an EU country or of a country outside the EU.
Information
Deadline
Locations
France - Nice, Provence-Alpes-Côte d'Azur
Start date : Sept. 2019
Application deadline Request Info
End date Request Info
Dates
Sept. 2019
France - Nice, Provence-Alpes-Côte d'Azur
Application deadline Request Info
End date Request Info