Applied MSc in Data Analytics

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 2 Years
Mode On Campus
Level Postgraduate
Degree Masters Degree
Closing soon October 2026

Course Overview

The Applied MSc in Data Analytics at the DSTI School of Engineering is designed for ambitious individuals seeking to master the complexities of modern data science. This postgraduate programme equips you with essential skills in mathematical foundations, big data processing, machine learning, statistical analysis, and semantic web technologies, preparing you to tackle significant challenges in data-driven fields. You will explore diverse applications from time-series analysis to agent-based modelling, ensuring a comprehensive understanding of how to extract actionable insights from vast datasets. This Masters degree is ideal for those aiming to become proficient data analysts and scientists.

This full-time, on-campus Masters degree is studied over two years, beginning with foundational warm-up courses to ensure all students possess a solid starting point. Your learning journey will encompass modules in data wrangling with SQL, data warehousing, ETL processes, and NoSQL databases, alongside cloud computing with Amazon AWS and software engineering principles. You will also delve into data management, visualisation, and reporting tools, concluding with a module on management, ethics, and law pertinent to data usage. Upon graduation, you will be prepared for advanced roles in data analytics and engineering.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This program provides a comprehensive foundation in data analytics, covering essential warm-up courses before delving into core data analytics topics. Students will explore applied mathematics, statistical analysis, machine learning with R and Python, semantic web technologies, and time-series analysis. The curriculum also emphasizes data engineering skills, including SQL, data warehousing, NoSQL databases, data pipelines, and cloud computing with AWS. Further modules focus on data management and visualization, advanced Excel, reporting, and CRM systems, alongside essential management, ethics, and law components related to data.

1 Warm Up Courses (75hrs) - 6 ECTS

2 Data Analytics (225hrs) – 30 ECTS

Applied mathematics for data science
Foundations of statistical analysis & machine learning part 1
Big data processing with R
Python machine learning labs
Semantic web technologies
Time-series analysis
Agent-based modelling
Inferential modelling
Data analytics domain application

3 Data Engineering - (205hrs) – 28 ECTS

Data wrangling with SQL
Data warehousing & ETL
Graph databases – NoSQL – part 1
Document databases – NoSQL – part 2
Data pipeline part 1
Cloud computing - Amazon AWS
Software engineering - part 1
Software engineering - part 2

4 Data Management and Visualisation (125hrs) – 22 ECTS

Advanced excel for data analytics
Data & machine learning visualisation ecosystem
Analysis & design of information systems
Reporting & visualisation
CRM data management

5 Management, Ethics & Law (50hrs) – 4 ECTS

Data laws & regulations – philosophies, geopolitics & ethics
IT project management: traditional and agile approaches

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 16,469.00
Second Year Fee Tuition fee
USD 16,469.00
Total Program Cost Estimated total tuition
USD 32,938.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation
USD 518.00 - USD 677.00
Food & Groceries USD 3,509.00 - USD 5,613.00
Transport USD 1,053.00 - USD 1,316.00
Utilities & Bills USD 2,105.00 - USD 2,807.00
Estimated Total USD 6,667.00 - USD 9,473.00

Living cost estimates are based on Paris Campus.

Outcomes & Employability

What happens after you graduate

96%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Accounting & AuditingCorporate Finance & TreasuryFintech & Mobile MoneyHardware & Semiconductor EngineeringInsurance & Risk ManagementInvestment Management & Asset ManagementPrivate Equity & Venture CapitalRenewable Energy (Solar & Wind)Research & Product DevelopmentWealth Management & Financial Advisory

Top Employers Hiring for this course

BNP Paribas

Capgemini

Schneider Electric

Why Study Applied MSc in Data Analytics at DSTI School of Engineering

What makes this program stand out

October 2026 Closing soon

Next intake is in October 2026

Life at DSTI School of Engineering in France

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about Applied MSc in Data Analytics at DSTI School of Engineering

Can I work while studying?

International students can work up to 964 hours per year in France without needing a separate work permit.

What jobs can I get after studying this course?

Data Analyst, Data Scientist, Business Intelligence Analyst, Machine Learning Engineer

What will I actually study in this course?

The program offers a unique blend of advanced mathematics, computational science, and IT practices. You will learn about advanced statistical methods and cloud computing, preparing you for real-world analytics implementation.

When can I start — what are the intake months?

The Applied MSc in Data Analytics has two intake months: March and October. You can apply for the program during these periods.
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