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Certificat De Master En Ingénierie De Données (Avancé) (Advanced)

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Overview

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Learning outcomes

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Course content

1

Data Engineering Fundamentals

2

Data Warehousing And Business Intelligence

3

Advanced Data Modeling

4

Nosql Database Systems

5

Data Governance And Quality

6

Big Data Processing And Analytics

7

Cloud Computing For Data Engineers

8

Data Security And Privacy

9

Data Visualization And Communication

10

Machine Learning For Data Engineers

11

Data Mining And Knowledge Discovery

12

Advanced Data Storage And Retrieval

13

Information Retrieval And Search Engines

14

Web Data Management

15

Data Stream Processing And Real-Time Analytics

16

Geospatial Data Management

17

Recommender Systems And Personalization

18

Natural Language Processing For Data Engineers

19

Advanced Statistical Analysis For Data Science

20

Data Engineering For Artificial Intelligence

Career Path

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Key facts

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Why this course

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People also ask

Everything you need to know before you start

Straight answers — no waiting on a reply. Most learners are enrolled within 60 seconds of finding what they need below.

60 sec
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Self-paced
Learn on your time
Certificate
Included in fee

We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay the course fee, instantly
  • No waiting periods or fixed start dates
  • Instant access to all course materials upon payment
  • Flexibility to begin at your convenience

This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

We offer two flexible learning paths to suit your schedule:

  • Fast Track: Complete in 1 month with 3-4 hours of study per week
  • Standard Mode: Complete in 2 months with 2-3 hours of study per week

You can progress at your own pace and access the materials 24/7.

There are no formal entry requirements for this course. You just need:

  • A good command of English language
  • Access to a computer/laptop with internet
  • Basic computer skills
  • Dedication to complete the course
Ready when you are
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Self-paced · Certificate included · 24/7 access · 60-second start.
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Assessment is done through:

  • Multiple-choice questions at the end of each unit
  • You need to score at least 60% to pass each unit
  • You can retake quizzes if needed
  • All assessments are online

Upon successful completion, you will receive:

  • A digital certificate from London School of Business and Administration
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee
Open enrolment · Start today

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Why people choose us for their career

Trusted by professionals worldwide

Verified outcomes from learners who finished the course and put it to work.

4.5
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United Kingdom
ST
Sarah Thompson
GB · Course completed

I signed up for the advanced data engineering master because I wanted to get better at handling big data, and the course delivered. The practical labs on Spark SQL and Delta Lake were spot‑on – I actually built a data lake for a personal project and it works like a charm. The video lessons were clear and the reading material was concise, which helped me stay on track. While the pace was a bit fast at times, the supportive forum and the tutor’s feedback kept me motivated. All in all, a solid programme that helped me meet my learning goals.

MC
Michael Carter
US · Course completed

The Certificat De Master En Ingénierie De Données (Avancé) exceeded my expectations. The curriculum directly aligned with my goal of mastering data pipelines, and the modules on Apache Airflow and Kafka gave me hands‑on experience building end‑to‑end workflows. The case studies from real‑world enterprises were especially valuable, allowing me to apply theoretical concepts to practical scenarios. Course materials were up‑to‑date, with clear slides and well‑structured Jupyter notebooks. Overall, the learning experience was rigorous yet supportive, and I feel fully prepared to lead data‑engineering projects at my company.

AP
Ananya Patel
IN · Course completed

Wow! This course was a game‑changer for my career. I wanted to become proficient in real‑time data streaming, and the sections on Flink and Kafka Streams gave me exactly the skills I needed. I especially loved the capstone project where we built a live dashboard for monitoring sensor data – I’ve already showcased it to my manager and got a raise! The resources were top‑notch: comprehensive PDFs, interactive notebooks, and up‑to‑date code examples. The enthusiastic teaching style kept me engaged, and I’m thrilled with how much I’ve grown.

ZD
Zanele Dlamini
ZA · Course completed

The advanced master’s programme provided a detailed roadmap for mastering data engineering. My primary objective was to improve my ability to design scalable data warehouses, and the modules on dimensional modeling and ELT pipelines using dbt were exceptionally thorough. I applied the learned techniques to redesign our company’s reporting layer, reducing query times by 30 %. The course materials—especially the well‑annotated code repositories and the industry‑focused reading list—were highly relevant. The instructional tone was detailed and methodical, which suited my learning style, and I left the course feeling confident in my new skill set.





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Recently updated!

May 2026