Japan-based Online International Education Platform

Recurrent Education: Organisational Data Science Course

Cambridge Judge Business School
University of Cambridge

Cambridge Organisational Data Science

Cambridge Organisational Data Science Course is a course to learn about topics such as Big Data, Data Mining, Crypto Currencies, Data Visualization, GDPR, Digital Encryption, and Artificial Intelligence to drive logical decision-making, with the support of the University of Cambridge Mathematics Faculty and Cambridge Judge Business School.

Data Science has grown rapidly in importance and plays a pivotal role in helping organisations leverage data, turning raw information into actionable insights. It is an interdisciplinary field, using both statistics and computer sciences, to help solve some of the world’s most serious problems.

Let us take an example from the picture of Rabbit-duck illusion below.

One and the same picture can be a rabbit or a duck, depending on how it is construed.

Here, an objective analysis is required in order to prove that it is a rabbit or tht it is a duck. It is not convincing or persuasive just to say that it ‘looks like’ a rabbit or a duck.

Data analysis and statistics have become a focal point of public attention, with their broad range of use cases across industries and applications, from commercial, retail, legal, medical and even political fields. Data Science has become an inevitable pillar within many organisations, including those of the giants, such as Google, Facebook, Microsoft and Amazon.
Subject field
Natural science, Engineering, Data science, Education, Language, International affairs, Humanities & Social sciences, Business & Management
Course coordinator
Masumi Akaishi
Target
General
Consultants
Mid-level to senior HR professionals
Project managers
Directors and functional heads
Employee representatives 
Fee: 5800 GBP
提供
ICC International Communications Councilロゴ;
Lecture
1 lecture
Video
video
Required time
A month
Language
Japanese, English
Subtitles
Japanese, English
Required Japanese language level
None
Purpose
Take a course, Career up
Issue
Certificate
Start month
Feb, Mar, Aug
Open period
~
Contents
Lecturers
Competencies
Other information
Contact

Course

course_image
    • Last update
    • 2022-05-02
    • Start month
    • Feb, Mar, Aug
    • Required time
    • A month
    • Lecture time
    • 60min more
    • Open period
    • ~
    • Delivery method
    • Hybrid
    • Course restrictions
    • FCFS
    • System requirements
    • PC
Keywords
Data Science, Hybrid, Cambridge University, Study Abroad Programme, Summer School, Spring School, Adults, Education, Human Sciences, International Relations, Languages, Business and Management

Contents

1
Cambridge Organisational Data Science

Cambridge Organisational Data Science Course is a course to learn about topics such as Big Data, Data Mining, Crypto Currencies, Data Visualization, GDPR, Digital Encryption, and Artificial Intelligence to drive logical decision-making, with the support of the University of Cambridge Mathematics Faculty and Cambridge Judge Business School.

Data Science has grown rapidly in importance and plays a pivotal role in helping organisations leverage data, turning raw information into actionable insights. It is an interdisciplinary field, using both statistics and computer sciences, to help solve some of the world’s most serious problems.

Let us take an example from the picture of Rabbit-duck illusion below.

One and the same picture can be a rabbit or a duck, depending on how it is construed.

Here, an objective analysis is required in order to prove that it is a rabbit or tht it is a duck. It is not convincing or persuasive just to say that it ‘looks like’ a rabbit or a duck.

Data analysis and statistics have become a focal point of public attention, with their broad range of use cases across industries and applications, from commercial, retail, legal, medical and even political fields. Data Science has become an inevitable pillar within many organisations, including those of the giants, such as Google, Facebook, Microsoft and Amazon.
Recurrent Education: Organisational Data Science CourseCambridge Judge Business SchoolUniversity of Cambridge
Cambridge Organisational Data Science

Cambridge Organisational Data Science Course is a course to learn about topics such as Big Data, Data Mining, Crypto Currencies, Data Visualization, GDPR, Digital Encryption, and Artificial Intelligence to drive logical decision-making, with the support of the University of Cambridge Mathematics Faculty and Cambridge Judge Business School.

Data Science has grown rapidly in importance and plays a pivotal role in helping organisations leverage data, turning raw information into actionable insights. It is an interdisciplinary field, using both statistics and computer sciences, to help solve some of the world’s most serious problems.

Let us take an example from the picture of Rabbit-duck illusion below.

One and the same picture can be a rabbit or a duck, depending on how it is construed.

Here, an objective analysis is required in order to prove that it is a rabbit or tht it is a duck. It is not convincing or persuasive just to say that it ‘looks like’ a rabbit or a duck.

Data analysis and statistics have become a focal point of public attention, with their broad range of use cases across industries and applications, from commercial, retail, legal, medical and even political fields. Data Science has become an inevitable pillar within many organisations, including those of the giants, such as Google, Facebook, Microsoft and Amazon.

Lecturers

Course coordinator

Programme Director
Asia Programme
ICC International Communications Council
Philosophy, Comparative Cultural Studies

 

  • The Embassy of Japan, Washington, D.C., USA  The Protocol
  • University of Oxford, Lecturer
  • University of Cambridge, Lecturer
  • University of London, SOAS, Lecturer
  • University of British Columbia, Lecturer
  • ICC International Communications Council, Programme Director

Competencies

Literacy, Logical thinking ability, Problem finding ability, Problem solving skill, Creativity, Influencing skill, Practical ability, Situation grasping ability, Communication ability, Management ability, Group_skill, Leadership ability, International character, Autonomy, Flexibility, Ethics, Language proficiency

  

Course requirements

Dates(Summer course) Course Code: CADS080822

Online lessons: 2022/8/8 ~ 2022/8/12
Onsite face-to-face lessons: 2022/8/15 ~ 2022/8/26
Online Follow-up/Feed back lessons: 2022/8/29 ~ 2022/8/30

Dates(Spring course) Course Code: CADS270223

Online lessons: 2023/2/27 ~ 2023/3/3
Onsite face-to-face lessons: 2023/3/6 ~ 2023/3/17
Online Follow-up/Feed back lessons: 2023/3/20 ~ 2023/3/21
Online Pre-arrival and Follow-up / Feed back lessons are live, simultaneous bidirectional type.

 

Application Requirements

For whom:Adults

Venue:University of Cambridge

Duration:4 Week Course

Required English Language Proficiency:IELTS 6.0 / TOEFL iBT 80-  (The scores are only for reference.  Submission of the scores is not required.)

English Proficiency Conversion

Syllabus – Cambridge Organisational Data Science Course

Minimum number of the adults to form a class:5 adults

Accommodation:College Residence of University of Cambridge, a single private room

Application Deadline:Applications are accepted until 2 months prior to the course start date, but it will close when the recruitment capacity is filled in.

Apply:http://icc-edu.com/entryform_en/form.php

Evaluation method

Examination

Presentation

Attendance to the course

References

This is a hybrid type course with full use of ICT.

Part 1 – Online Pre-arrival lesson that is a live, simultaneous bidirectional type.

Part 2 – Onsite Face-to-Face lesson

Part 3 – Online Follow-up/Feed back lesson that is a live, simultaneous bidirectional type.

   

Special notes

Fee for Summer 2022:    5,800 GBP  

(The registration fee 1,000 GBP inclusive)

Fee for Spring 2023:    GBP

(The registration fee 1,000 GBP inclusive)

 

The Fee includes:

  • Registration fee (1,000 GBP)
  • Programme fee (4,800 GBP)
  • Tuition (Online and Onsite)
  • Accommodation:College Residence of University of Cambridge, a single private room
  • Example accommodation:
  • https://www.fitz-events.com/sites/default/files/inlinefiles/Fitz_Events_Brochure.pdf
  • https://www.corpus.cam.ac.uk/conferences/conference-accommodation
  • Meals:【Week days】Full board at a college of University of Cambridge 【Week-ends】Breakfast and dinner at a college of University of Cambridge
  • Wifi access
  • Trips (Some activities during a trip are not free.)
  • Farewell Gala Dinner (Dress code:semi-formal)
  • Trips such as London,  etc.
  • University of Cambridge Library Card (Valid for a year)
  • Certificate of Attendance
  • Airport transfer services (Very early morning or late at night pick up services may not be free of charge.)

 

The Fee does not include:

  • Round trip airfare
  • Oversea travel insurance
  • Pocket money
  • VISA application fee (The documents to apply for a VISA will be provided, but the student must apply him/herself.)
  • Options

Contact

icccontact@internationalcommunicationscouncil.com

japanoffice@internationalcommunicationscouncil.com