Applied MSc in Data Science and AI

Objectives of Applied MSc in Data Science & AI

The following are the primary objectives of the Applied MSc in Applied Data Science & AI programme:

• Sharpen Applied Mathematics Skills. Our programme aims to boost your mathematical skills and their application to resolve intricate Data Science and AI challenges.
• Comprehending AI Algorithms. Our course centres on giving students a profound grasp of the core AI algorithms, encompassing machine learning, deep learning and natural language processing.
• Implementing IT and Big Data Architectures. Our programme aids students in utilising their scientific skills by teaching them to analyse, design, implement, and monitor IT and Big Data frameworks.
• Understanding IT Project Management and Legal Aspects. Our programme imparts knowledge of IT project management and the legal implications of data handling, including privacy laws. It also introduces ethical considerations of mining big data.

The Applied MSc in Data Science & AI offers brilliant career opportunities. Almost all graduates secure an internship within six months in Europe, with a monthly stipend around EUR 1300.

• 98% of Students get an internship offer within 6 months
• 91% of students find internships in Europe
• EUR 1300 average monthly stipend
• EUR 51K average starting salary

Our Applied MSc in Data Science & AI students work as

• Data Scientist
• Consultant
• Data Consultant
• Clinical Data Analyst
• Research and Application in Data Science
• AI Product Manager

Employers of our Applied MSc in Data Science & AI students

• Adaltas
• Agora Labs
• Altaroad
• Altran
• Automi AI
• AXA
• Axires
• BEL
• BNP Parisbas
• Capgemini
• Caranx Medcial
• CCN CONSULTING
• CGG / Sercel
• Croda International
• Danone
• DATATEGY
• Dental Monitoring
• Devoteam
• Eclypia
• Edenred
• EDF – Sesame Department
• Engie Digital
• EPAM Systems
• Eurobank
• Eurodisney
• InDhu
• IRT SystemX
• Liebherr
• Logiroad
• Maiple ( enteprise familial) Consultant
• McDermott
• Modis
• Moten Technology
• NPD Group
• Research2Freedom
• Safran Engineering Services
• Schneider Electric
• Senseen
• Signify
• Soladis
• Swiss International Air Lines
• TotalEnergies
• Trimble Mensi
• WorldBank

Curriculum of Applied MSc in Data Science & AI

Warmup Courses - 75 Hours / 6 ECTS

• Fundamental applied mathematics (10hrs)
• Data structure and applied Machine Learning using Python & R (20hrs)
• Introductions to:
  • Data Management (5hrs)
  • AI Awareness (5hrs)
  • Computer Architecture (5hrs)
  • Networking (5hrs)
• Computer Systems Labs (10hrs)
• Clean IT (10 hrs)
• Excel Basics (5hrs)

Core Data Science & AI - 190 Hours / 24 ECTS

• Applied Mathematics for Data Science (25hrs) - 3 ECTS
• Foundations of Statistical Analysis and Machine Learning Part 1 (25hrs) - 3 ECTS
• Foundations of Statistical Analysis Machine Learning Part 2 (40hrs) - 4 ECTS
• Time-Series Analysis (25hrs) – 3 ECTS
• SAS "The SAS Ecosystem DSTI Chair" (25hrs) - 3 ECTS
• Continuous Optimization (25hrs) - 4 ECTS
• Artificial Neural Networks (25hrs) - 4 ECTS

Core Data Engineering - 250 Hours / 24 ECTS

• Software Engineering - Part 1 & 2 (50hrs) - 5 ECTS
• Python Machine Learning Labs (25hrs) - 4 ECTS
• MLOps by Adaltas (50hrs) - 4 ECTS
• Data Wrangling with SQL (25hrs) - 3 ECTS
• Amazon AWS “Cloud-Computing DSTI Chair” (50hrs) - 4 ECTS
• Big Data Ecosystem by Adaltas (50 hrs) - 4 ECTS

Applied Data Science & AI - 210 Hours / 32 ECTS

• Advanced Statistical Analysis and Machine Learning (35hrs) - 4 ECTS
• Statistical Analysis of Massive and High-Dimensional Data (25hrs) - 4 ECTS
• Survival Analysis Using R (25hrs) - 4 ECTS
• Inverse Problems & Data Assimilation (25hrs) - 4 ECTS
• NoSQL databases for Graph-based Modelling (25hrs) - 4 ECTS
• Deep Learning (25hrs) - 4 ECTS
• Agent-Based Modelling (25hrs) - 4 ECTS
• Semantic Web technologies for Data Science developments (25hrs) - 4 ECTS

Operational Methodologies – 50 Hours / 4 ECTS

• Data Laws & Regulations - Philosophies, Geopolitics & Ethics (25hrs) - 2 ECTS
• IT Project Management: PMP-PMI and Agile Approaches (25hrs) - 2 ECTS

65 Hours of Support Sessions

• 6-month mandatory internship – 30 ECTS

Technologies in Applied MSc in Data Science & AI

• Python
• SAS Base programming
• Amazon AWS
• Microsoft Azure
• C and C++
• SQL
• R
• Neo4j
• Microsoft Azure
• Semantic Web
• Hadoop
• Spark

Program Structure

The Applied MSc in Data Science & AI is an all-encompassing program with 120 ECTS. It comprises two parts: firstly, 840 hours of coursework equivalent to 90 ECTS, beginning with a 75-hour DSTI Warm-Up to sharpen necessary skills, and 65 hours of support sessions—secondly, a 6-month, 30 ECTS credited internship for practical experience in data science.

Study Modes

DSTI offers the Applied MSc in Data Science & AI in two modes: Initial Education and Continuous Education.

Initial Education

Initial Education is designed for students under 30 transitioning from school or university, preparing them to become proficient data professionals. Choose between two options: Full-Time or Part-Time (Apprenticeship).

Full-Time Mode

For beginners in Data Science, we suggest the 2-year Full-time mode with options for two data-related internships, the second being mandatory.

• Warm-up: 3 Weeks
• Year 1 Courses + 4 to 6-month optional internship
• Year 2 courses + 6-month mandatory internship
• Paris and Nice Sophia Antipolis
• Online

Part-Time (Apprenticeship) Mode

The apprenticeship mode combines part-time work and study, open only to EU students or those with a long-term visa in France. Read details before applying.

• 2 weeks of study and 2 weeks of work at a company
• For less than 30 years old students
• 2 years
• Paris and Nice Sophia Antipolis
• Online (within France)

Continuing Education

For professionals typically 30 or older, Continuing Education balances career growth and work commitments. It's perfect for those with relevant experience or tech education, allowing flexible completion of the Applied MSc in Data Science & AI on-campus or online.

Self-Paced Online Course (SPOC) (15 to 36 months)

SPOC is ideal for students balancing studies with regular jobs. Coursework, completed between 15-36 months through recorded lectures, can be supplemented with live online sessions if available. The course duration is flexible to the student's needs.

• 3 milestones for self-study
• 6-month mandatory internship
• 15 to 36 months
• Asynchronous
• Online upon request and mutual availability

Blended Learning – Part-Time Sandwich

DSTI provides a 'Part-time Sandwich' or 'Contrat de Professionnalisation'. This option is perfect for those aged 30 and above, French speakers, and individuals who are EU/EEA citizens or long-stay visa holders in France.