PARIS CITÉ UNIVERSITY · FRANCE
Master in Computer Science - Machine Learning for Data Science Specialization
Master's · Taught in fr
At a glance
24 mo
Duration
—
IELTS
—
Tuition / yr
fr
Language
Master's
Level
- 120ECTS Credits
- BAC +5 (Level 7)Degree Level
- 2 yearsProgram Duration
- 90%Professional Insertion Rate
- 98%Success Rate
This Master's program focuses on Machine Learning for Data Science, preparing students to work with the massive, multi-faceted datasets driving modern decision-making and artificial intelligence. You will learn to organize, preprocess, and analyze data using advanced machine learning and statistical methods. The program is part of the Graduate School Artificial Intelligence and Data Science at Université Paris Cité, fostering an interdisciplinary approach and connecting students with cutting-edge research labs. The curriculum is designed for students with a strong background in Computer Science and Applied Mathematics. The first year (M1) introduces core concepts in machine learning and artificial intelligence, while the second year (M2) delves deeper into specialized topics and practical applications. Graduates will be well-equipped for careers as Data Scientists or for doctoral studies in AI and Data Science.
Curriculum
The program is structured over two years (M1 and M2), with each year divided into semesters. Specific details on the modules within each semester can be found via the provided link.
- Master 1
- Master 2
Careers
This Master's program prepares graduates for a range of roles in the fields of Machine Learning, Artificial Intelligence, and Data Science. The program boasts a high professional insertion rate, indicating strong industry demand for its graduates.
- Data Scientist
- Machine Learning Engineer
- AI Specialist
Frequently asked questions
- What are the entry requirements for the Master in Computer Science - Machine Learning for Data Science Specialization?
- For M1 entry, you need a Bachelor's degree in Computer Science or equivalent with a strong foundation in statistics and matrix algebra. For M2 entry, a Master 1 in Computer Science or an Engineering degree is required. Applications from Mathematics majors with proven IT skills are also considered.
- What is the duration of the Master's program?
- The Master's program is structured over two years, typically designated as Master 1 (M1) and Master 2 (M2).
- How much does the program cost in terms of tuition fees?
- Tuition fees are national registration fees set annually by the Ministry of Higher Education, Research, and Innovation. Additional mandatory and optional contributions may apply based on individual student circumstances.
- What are the career prospects after graduating from this program?
- Graduates can pursue roles such as Data Scientist, Machine Learning Engineer, or AI Specialist. The program also prepares students for doctoral studies in AI and Data Science.
- What documents are needed to apply for the program?
- You will need to prepare a motivation letter, a comprehensive CV, and photocopies of your Baccalaureate and post-Baccalaureate transcripts. Letters of recommendation are optional.
- When is the application period for this Master's program?
- The application period typically runs from March to June, with interviews usually held in May and the program starting in September.
Entry requirements
M1 EntryBachelor's degree in Computer Science or equivalent, with a solid foundation in statistics and matrix algebra. Applications from Mathematics majors with proven IT skills (programming, databases) will also be considered. Validation of personal and professional experience (VAPP D. 23/08/1985) is also accepted.
M2 EntryMaster 1 in Computer Science, Engineering degree, or validation of personal and professional experience (VAPP D. 23/08/1985).
A strong background in Computer Science and Applied Mathematics is required.
Fees
Tuition (international)National registration fees are set annually by the Ministry of Higher Education, Research, and Innovation. Additional mandatory and optional contributions may apply based on individual student circumstances. Further information on potential additional training fees for professional development students is available.
Tuition (home)National registration fees are set annually by the Ministry of Higher Education, Research, and Innovation. Additional mandatory and optional contributions may apply based on individual student circumstances. Further information on potential additional training fees for professional development students is available.
LivingNot specified.
Tuition fees are subject to change and set by national regulations. Specific additional fees may apply to certain student profiles.
How to apply
1. Check EligibilityEnsure you meet the academic prerequisites for either M1 or M2 entry, which include a strong background in Computer Science and/or Mathematics.
2. Prepare Application DocumentsGather all mandatory documents: motivation letter, comprehensive CV, photocopies of your Baccalaureate and post-Baccalaureate transcripts. Letters of recommendation are optional.
3. Submit Application OnlineAccess the eCandidat platform via the Université Paris Cité website. Complete the online application form and upload all required documents. Application periods typically run from March to June.
4. Attend InterviewInterviews are usually held in May. Prepare to discuss your academic background, motivation, and suitability for the program.
5. Receive Admission DecisionSuccessful candidates will be notified following the application review and interview process.
Accreditation
DNM (Diplôme National de Master)
Frequently asked questions
What are the entry requirements for the Master in Computer Science - Machine Learning for Data Science Specialization?
+
For M1 entry, you need a Bachelor's degree in Computer Science or equivalent with a strong foundation in statistics and matrix algebra. For M2 entry, a Master 1 in Computer Science or an Engineering degree is required. Applications from Mathematics majors with proven IT skills are also considered.
What is the duration of the Master's program?
+
The Master's program is structured over two years, typically designated as Master 1 (M1) and Master 2 (M2).
How much does the program cost in terms of tuition fees?
+
Tuition fees are national registration fees set annually by the Ministry of Higher Education, Research, and Innovation. Additional mandatory and optional contributions may apply based on individual student circumstances.
What are the career prospects after graduating from this program?
+
Graduates can pursue roles such as Data Scientist, Machine Learning Engineer, or AI Specialist. The program also prepares students for doctoral studies in AI and Data Science.
What documents are needed to apply for the program?
+
You will need to prepare a motivation letter, a comprehensive CV, and photocopies of your Baccalaureate and post-Baccalaureate transcripts. Letters of recommendation are optional.
When is the application period for this Master's program?
+
The application period typically runs from March to June, with interviews usually held in May and the program starting in September.