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データエンジニアリング修士(高度専門課程) (Advanced)

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Overview

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Learning outcomes

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Course content

1

Data Engineering Fundamentals

2

Data Storage Systems

3

Cloud Computing

4

Data Processing And Analysis

5

Data Visualization

6

Machine Learning

7

Data Mining

8

Database Management Systems

9

Data Warehousing

10

Big Data Analytics

11

Data Governance

12

Data Quality Management

13

Data Security

14

Advanced Data Engineering

15

Data Engineering Tools And Technologies

16

Data Science And Engineering

17

Information Retrieval

18

Human Computer Interaction

19

Computer Networks

20

Operating System Design

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

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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 States
MC
Michael Carter
US · Course completed

I'm thrilled to have completed the データエンジニアリング修士(高度専門課程) course at Stanmore School of Business! The comprehensive curriculum and expert instruction helped me achieve my learning goals, particularly in mastering data engineering principles and practices. The course materials were top-notch, with relevant case studies and hands-on projects that allowed me to apply theoretical concepts to real-world problems. I was able to design and implement a scalable data pipeline for my company, resulting in significant performance improvements. The instructor's feedback and support were invaluable, and I appreciate the opportunity to have learned from them. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone looking to advance their skills in data engineering.

LH
Leila Hassan
EG · Course completed

I found the データエンジニアリング修士(高度専門課程) course to be a great introduction to the field of data engineering. The course content was well-structured, and the instructor did a good job of explaining complex concepts in an easy-to-understand manner. I appreciated the focus on practical skills, such as data modeling and ETL pipeline development. One of the highlights of the course was the group project, where we had to design and implement a data warehouse for a fictional company. It was a great opportunity to apply what we learned and work collaboratively with my peers. While there were some areas where I felt the course could be improved, overall I was satisfied with the experience and feel more confident in my ability to work with data engineering tools and technologies.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The データエンジニアリング修士(高度専門課程) course at Stanmore School of Business was an incredible experience! I was blown away by the quality of the course materials and the expertise of the instructor. The course covered everything I needed to know to become a proficient data engineer, from data ingestion to data visualization. I loved the hands-on approach, with plenty of labs and exercises to help reinforce the concepts. The instructor was always available to answer questions and provide feedback, which was super helpful. One of the things that really stood out to me was the emphasis on best practices and industry standards. I feel like I gained a really deep understanding of the subject matter and am now able to apply it in my daily work. If you're interested in data engineering, don't hesitate to sign up for this course – it's worth every penny!

RS
Rafaela Silva
BR · Course completed

I recently completed the データエンジニアリング修士(高度専門課程) course at Stanmore School of Business, and I must say it was a valuable learning experience. The course content was comprehensive and well-organized, covering topics such as data architecture, data governance, and data security. I appreciated the detailed explanations and examples provided by the instructor, which helped me understand the concepts better. The course materials were also very helpful, with many relevant examples and case studies. One of the things I found particularly useful was the discussion forum, where we could ask questions and share our experiences with fellow students. The instructor was always responsive and provided helpful feedback. While there were some areas where I felt the course could be improved, overall I was satisfied with the experience and feel more confident in my ability to work with data engineering tools and technologies. I would recommend this course to anyone looking to improve their skills in this area.





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Recently updated!

May 2026