Overview
The Applied MSc in Data Science and Artificial Intelligence (Hons) at Data ScienceTech Institute is a premier programme that integrates theoretical knowledge with practical application, preparing graduates for the evolving demands of the job market. This master's degree is highly regarded for its rigorous curriculum, which combines mathematical principles, advanced machine learning techniques, and hands-on computer engineering applications. Students will develop a robust understanding of how to create, optimise, and implement AI-driven models to tackle complex challenges across various industries.
Why Data Science and Artificial Intelligence at Data ScienceTech Institute?Data ScienceTech Institute is recognised for its exceptional educational offerings, consistently ranking among the top institutions in France for Big Data and Data Sciences. The programme's strong partnerships with industry leaders ensure that students have access to cutting-edge resources and networking opportunities. The state-of-the-art facilities and expert faculty further enhance the learning experience, making it an ideal choice for aspiring data professionals.
Tuition Fee Breakdown- International Fee: EUR 5,500 per year
- European Fee: EUR 9,700 per year
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe curriculum of the Applied MSc in Data Science and Artificial Intelligence (Hons) is structured to provide a comprehensive education in the field. Key modules include:
- Fundamental Applied Mathematics
- Data Structure and Applied Machine Learning using Python & R
- Foundations of Statistical Analysis and Machine Learning
- Time-Series Analysis
- Artificial Neural Networks
- Software Engineering Basics
- Cloud Computing - Amazon AWS
- Deep Learning
- Operational Methodologies
- Data Laws & Regulations
Graduates of the Applied MSc in Data Science and Artificial Intelligence (Hons) are well-equipped to pursue various career paths. Alumni have found successful roles as Data Scientists, AI Product Managers, and Clinical Data Analysts in leading firms such as AXA, BNP Paribas, and Capgemini. The programme also boasts a high internship placement rate, with many students securing positions that lead to full-time employment shortly after graduation. The average starting salary for graduates is around €45,000, reflecting the high demand for skilled professionals in this sector.
Accreditation
- As a front-runner in data and AI in France, DSTI offers an Applied Bachelor programme at RNCP 6. The Applied MSc programmes hold RNCP 7 accreditation.
- Further, DSTI is recognised under the 3IA Cote d’Azur Label for extensive AI content and proudly possesses Qualiopi RNQ certification, affirming quality of our processes.
Programme Structure
Courses include:
- Applied Mathematics for Data Science
- Time-Series Analysis
- Continuous Optimisation
- Artificial Neural Networks
- Software Engineering
- Data Wrangling with SQL
- Amazon AWS “Cloud-Computing DSTI Chair”
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , International
- Apply before , EEA/EU
-
- StartingApplication deadline not specified.
IntakeSpring (March)Autumn (October)Every month for SPOC
Language
Credits
Delivered
Campus Location
- Nice, France
- Paris, 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 qualify for DSTI’s Applied MSc programmes, applicants must satisfy these conditions:
High School Mathematics
- Applicants should have studied Mathematics at high school level or possess an equivalent qualification.
3/4-year Bachelor degree
- Candidates must have completed a 3 or 4-year Bachelor degree or equivalent from a recognised university.
Academic Records
- DSTI provides three ways for prospective students to demonstrate their academic credentials. Students may only submit one type of academic record from the three options provided. However, submitting evidence of more than one qualification listed below will enhance your chances of admission.
Proficiency in English
- Since all courses are taught in English, students must have a B2 level of proficiency in English. DSTI will assess English proficiency during the Admission Interview.
- To boost an application, students may submit their IELTS or TOEFL scores.
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 Data ScienceTech Institute 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 Nationals9700 EUR / year≈ 9700 EUR / year
Living costs
Nice
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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.
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