International Communications Council


Cambridge Data Science Programme

This programme is an opportunity to learn from the faculty and associates of Cambridge University and gain an international experience and perspective from your global peer group.

University of Cambridge

  • Founded: 1209
  • Motto: Literal: From here, light and sacred draughts
  • Location: The Old Schools Trinity Lane, Cambridge CB2 1TS England
  • Telephone: +44-1223-337733
  • Total FTE Enrolment: approx. 19,000
Founded in 1209, the University of Cambridge is the second oldest university in the English-speaking world and is now a collegiate public research university. The university grew out of an association of scholars who left the University of Oxford after a dispute with the townspeople. The two 'ancient universities', the University of Oxford and the University of Cambridge are often referred to jointly as 'Oxbridge' and share many common features. The outstandingly high academic standard is the wealth of the University of Cambridge and it has made it one of the most prestigious universities in the world.
31 semi-autonomous constituent Colleges and over 100 academic departments organized into six schools form the University of Cambridge.
University of Cambridge Press is a department of the University and is the world's oldest publishing house and the second-largest university press in the world. Cambridge Assessment is also a department of the University and is one of the world's leading examining organisations. The University also operates eight cultural and scientific museums, including the Fitzwilliam Museum and a botanic garden. There are over 100 libraries in the University of Cambridge that hold a total of approximately 16 million books. The Cambridge Union is the world's oldest debating society.
An English mathematician, physicist, astronomer, theologian Isaac Newton, a British philosopher and logician Bertrand Russell, an Austrian-British philosopher Ludwich Wittgenstein, a theoretical physicist Stephen Hawking are among those who are symbolic figures of the University of Cambridge.

'Silicon Fen' is known to be a group of the high-tech businesses focusing on software, electronics and biotechnology. Many of these businesses are strongly linked to the University of Cambridge, and the area is now one of the most important technology centres in Europe.


This is an opportunity to learn from the faculty and associates of Cambridge University and gain an international experience and perspective from your global peer group.

It is not optional but it is essential to be able to make decisions informed by data, in the digital economy. People make decisions based on data and perform better.

The programme provides you with the tools for you to set up experiments, to collect data together to work, to learn from data, and to make decisions to navigate the legal and ethical issues involved in data-based decision making.

You will learn widely used frameworks of biases, experimentation, descriptive analytics, prescriptive analytics, predictive analytics.
You will implement the frameworks you have learned through the programme.

You will meet a global and diverse group of participants to share your perspectives on the issues being discussed with other participants and seek their views.


Decision-Making Using Data

In the present digital economy, it is essential:
  • to use data for informed decisions
  • to focus on interpreting results of analysis
  • to gain the tools you need to put data to work
  • to maximise your data-based decision making
  • to transform your business into a data-driven organisation
You will learn how to:
  • Perceive the ethics and regulatory issues involved in making decisions using data
  • Learn about the sources of data for you to fetch those data into your database and to evaluate the quality of the collected data
  • Identify different types of biases that lead to bad decision making
  • Keep away biases in decision making by identifying the data needed to answer the questions critical to your business
  • Make analysis of data in order to explain the reasons behind past events
  • Implement challenges of creating a data-driven organization
  • Indicate future outcomes by choosing the precise machine learning a set of mathematical instructions or rules, algorithmic rules to use in a business context.


The programme is to cover about six areas of decision-making using data and it includes lectures, discussions and assignments, including the visits to a number of industries.


  • Module 1: Decision Biases
  • Module 2: Big Data Opportunities
  • Module 3: Descriptive Analytics
  • Module 4: Predictive Analytics – Machine Learning and Neural Networks
  • Module 5: Prescriptive Analytics – Behavioural Economics Biases
  • Module 6: Ethics/Legal and Organisational issues


3 weeks

  • 1 week Online preparation lesson
  • 2 weeks Onsite residential lesson


Spring Course

Online the 2nd week of March
Onsite the 3rd and 4th week of March

Summer Course

Online the 2nd week of August
Onsite the 3rd and 4th week of August


  • Homestay
  • University of Cambridge College Residence

English Proficiency

It is advisable that the participant has the following proficiency in English to take the course.
  • TOEFL CBT® 213~283
  • TOEFL PBT® 550~657
  • TOEFL iBT® 80~116
  • IELTS 6.0~7.5
  • TOEIC ® 820~970


C2 9 120 297-300 673-677 87-90 - -
8.5 119 293 670 83-86 - -
C1 8 117-118 287-290 660-667 79-82 - -
7.5 109-116 267-283 630-657 73-78 970-990 -
7 100-108 250-263 600-627 65-72 870-970 Grade 1
B2 6.5 90-99 233-247 577-597 58-64 820-870 -
6 80-89 213-230 550-573 50-58 740-820 Grade Pre-1
5.5 69-79 192-212 521-549 42-49 600-740 -
B1 5 61-68 173-190 500-520 35-42 550-600 Grade 2
4.5 52-60 150-170 470-499 28-34 500-550 -
 4 45-51 130-149 450-469 -27 450-490 Grade Pre-2
A2 3.5 33-44 110-129 400-449 - 300-440 -
3 29-32 100 391-399 - 291-299 Grade 3
A1 2.5 20-28 90 390 - 270-290 -
2 12-19 - 350-389 - 260-269 Grade 4
1.5 - - - - 100-259 Grade 5

For whom

The course is for university students who intend to drive analytics projects at their future organisations, and present business managers across different functions.