Applied MSc in Data Analytics
Data ScienceTech Institute
Key Information
Select location
Campus location
Biot, France
Languages
English
Study format
Blended, Distance Learning, On-Campus
Duration
15 - 24 months
Pace
Full time, Part time
Tuition fees
EUR 14,850
Application deadline
Request info
Earliest start date
Mar 2024
Introduction
DSTI's Applied MSc in Data Analytics offers hands-on industry experience with industry-standard tools, leading 97% of students to internships within 6 months. With flexible Full-time, Part-time or Blended learning options starting in Spring or Autumn, gain a solid foundation in data analytics principles.
Features
- 120 ECTS
- Language: 100% English
- 6-month internship
Study Modes
- Full-Time (2 years)
- Apprenticeship (2 years)
- Accelerated (9 + 6 months)
- SPOC (15 to 30 months)
Programme Features
- 80% of International Students
- 24-31 Years of average age range
- 5+ Hands-on projects
- 2 Mandatory International Certifications to Graduate.
Overview of Applied MSc in Data Analytics
The Applied MSc in Data Analytics program offered by DSTI focuses on core concepts, practical skills, real-world projects, and expert guidance, ensuring that graduates are well-prepared for the job market. The curriculum covers data mining, statistical analysis, machine learning, data visualization, and big data technologies, and is delivered in different flexible modes. Students work on real-world projects using industry-standard tools and technologies under the guidance of experienced faculty.
Accreditations
RNCP 7:
The RNCP is the national repository for professional certification. So, a course with RNCP certification is valid all across the world.
3IA Cote d’Azur Label:
It recognizes that the yearly program includes more than 50% of AI content and offers access to an internship and business engagement network.
Qualiopi RNQ (National Quality Reference System):
Qualiopi is a quality certification brand to attests to the quality of the services provided through professional training, skills assessments, etc.
Resources for MSc in Data Analytics
AWS Educate
AWS Educate, an initiative by Amazon Web Services (AWS), equips students and educators with valuable resources, training materials, and hands-on experience to foster the development of cloud computing skills and facilitate career readiness in the industry.
Azure for Education
Azure for Education provides students with Microsoft software, developer tools, and cloud resources for learning and projects, including a $100 voucher.
Adaltas "Cluster Access"
Leveraging Hadoop and Spark for large-scale data processing, this cloud cluster operates at an enterprise-grade level, providing round-the-clock availability.
O’Reilly
O'Reilly is a platform offering quality content for effective study. It features over 60,000 books, 30,000 hours of video, live events, and interactive labs covering cloud computing, software architecture, programming languages, machine learning, and more.
Moodle Access
Moodle offers students comprehensive access to their studies: notifications, schedules, courses, exams, live sessions, lecture recordings, and project submissions.
Support 5/7 "Zendesk"
A resource that allows students to ask questions or seek assistance with academic, career, or administrative tasks. Students can also revisit the answers whenever necessary.
Alumni email account, Microsoft Windows and Office 365 Licenses
All DSTI students enjoy lifelong alumni email access and are given Microsoft Windows and Office 365 licenses.
Program Outcome
Objectives of Applied MSc in Data Analytics
The following are the major objectives of the Applied MSc in Applied Data Analytics program:
- Develop Analytical Skills.
- This program aims to build a strong analytical mindset for clear, science-based decision-making.
- Master Business Intelligence and Data Visualisation Software.
- Gain mastery in leading data software through industry certifications.
- Acquire Database Skills.
- Boost your data analyst profile with unique skills in various database technologies.
- Learn Machine Learning.
- Gain proficiency in machine learning for predictive analysis, with practical applications.
- Understand IT and Software Management.
- Improve understanding of IT Project Management and ethical aspects of big data handling.
Objectives of Applied MSc in Data Analytics
The following are the major objectives of the Applied MSc in Applied Data Analytics program:
Develop Analytical Skills
This programme aims to build a strong analytical mindset for clear, science-based decision-making.
Master Business Intelligence and Data Visualisation Software
Gain mastery in leading data software through industry certifications.
Acquire Database Skills
Boost your data analyst profile with unique skills in various database technologies.
Learn Machine Learning
Gain proficiency in machine learning for predictive analysis, with practical applications.
Understand IT and Software Management
Improve understanding of IT Project Management and ethical aspects of big data handling.
Career Opportunities
Applied MSc in Data Analytics students have great career prospects, with nearly all landing an internship in Europe within six months, earning at least EUR 1000 monthly.
- 97% of Students get an internship offer within 6 months
- 88% (45/51) of students find internships in Europe
- EUR 1000+ average monthly stipend
- EUR 45K average starting salary
Our Applied MSc in Data Analytics students work as
- Data Consultant
- Marketing Data Scientist/Analyst
- Statistical Assistant
- Consultant
- Business Analyst
- Data Scientist
Employers of our Applied MSc in Data Analytics students
- DeepLearn Wireless Innovations Limited
- Amaris
- Aircotedivoire
- OpenIndoor
- CIC + Master Digital Economy & Strategy UCA
- Schneider Electric
- TATA Consulting
- Deloitte
- Globus AI
- Orange Liberia
- Software
- Syngenta France SAS
- Ankorstore
- 10Alytics
- Research pool
- Eurotstats
- BNP Paribas
- Boehringer Ingelheim Animal Health France
- BOUYGUES Travaux Publics
- ATLANTIC CLIMATISATION ET TRAITEMENT D AIR INDUSTRIE
- EA Supply
- LiveSAFE
- Alten ( Sophia)
- PRGX France
- MAS Analytics
- Sendinblue
Gallery
Curriculum
The curriculum of Applied MSc in Data Analytics
Warmup Courses (75hrs) - 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)
Data Analytics (125hrs) – 30 ECTS
- Applied Mathematics for Data Science (25hrs) - 6 ECTS
- Foundations of Statistical Analysis & Machine Learning Part 1 (25hrs) - 6 ECTS
- Big Data Processing with R (25hrs) - 6 ECTS
- Python Machine Learning Labs (25hrs) - 6 ECTS
- Semantic Web technologies for Data Science developments (25hrs) - 6 ECTS
Databases (105hrs) – 26 ECTS
- Data Wrangling with SQL (25hrs) - 6 ECTS
- Data warehousing & ETL (25hrs) - 6 ECTS
- Graph Databases – NoSQL – Part 1 (25hrs) - 6 ECTS
- Document Databases – NoSQL – Part 2 (5hrs) - 2 ECTS
- Data Pipeline Part 1 (25hrs) - 6 ECTS
Data Management and Visualisation (100hrs) – 24 ECTS
- Advanced Excel for Data Analytics & Machine Learning (25hrs) - 6 ECTS
- Data & Machine Learning Visualisation Ecosystem (25hrs) - 6 ECTS
- Reporting & Visualisation (25hrs) - 6 ECTS
- CRM Data Management (25hrs) - 6 ECTS
Operational Methodologies (50hrs) – 4 ECTS
- Data Laws & Regulations – Philosophies, Geopolitics & Ethics (25hrs) - 2 ECTS
- IT Project Management – PMP-PMI and Agile Approaches (25hrs) - 2 ECTS
- 45 Hours of Support Sessions
- 6-month mandatory internship – 30 ECTS
- Technologies in Applied MSc in Data Analytics
Technologies dans le Applied MSc in Data Analytics
- Python
- R
- SQL
- Microsoft PowerBI
- Microsoft Dynamics
- Advanced Excel
- SAS Viya
- Microsoft Power Platforms
- MongoDB
- Neo4j
- Web Semantics
Program Structure
The Applied MSc in Data Analytics program awards 120 ECTS. This includes 500 hours of classes (90 ECTS) with 75 hours of DSTI Warm Up for technical skills and 45 hours of support sessions. Post coursework, a 6-month internship (30 ECTS) provides practical data analytics experience.
Study Modes
DSTI offers the Applied MSc in Data Analytics 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).
Initial Education Full-Time Mode
For beginners in Data Analytics, 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 study and 2 weeks work at a company
- For less than 30 years old students
- 2 years
- Paris and Nice Sophia Antipolis
- Online (within France)
Continuing Education – Blended Learning
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 Analytics on campus or online.
Blended Learning - Accelerated Mode
In Accelerated Learning, students finish coursework in about 9 months, and then undertake a 6-month internship or job in the data field, reducing time to market.
- Warm-up: 3 Weeks
- 9 months of course-work
- 6-month mandatory internship
- Paris and Nice Sophia Antipolis
- 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.
Admissions
Program Tuition Fee
Program delivery
Programme Structure
The Applied MSc in Data Analytics programme awards 120 ECTS. This includes 500 hours of classes (90 ECTS) with 75 hours of DSTI Warm Up for technical skills, and 45 hours of support sessions. Post coursework, a 6-month internship (30 ECTS) provides practical data analytics experience.
Study Modes
DSTI offers the Applied MSc in Data Analytics 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).
Initial Education Full-Time Mode
For beginners in Data Analytics, 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 study and 2 weeks work at a company
- For less than 30 years old students
- 2 years
- Paris and Nice Sophia Antipolis
- Online (within France)
Continuing Education – Blended Learning
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 Analytics on-campus or online.
Blended Learning - Accelerated Mode
In Accelerated Learning, students finish coursework in about 9 months, then undertake a 6-month internship or job in the data field, reducing time to market.
- Warm-up: 3 Weeks
- 9 months of course-work
- 6-month mandatory internship
- Paris and Nice Sophia Antipolis
- 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.