Data Science in the Games Industry

4.4 (7 reviews)

6,403 enrolled on this course

Learn how the games industry can use big data to enhance the gaming experience and increase profits.

Data Science in the Games Industry


4 weeks

Weekly study

3 hours



Use data analysis to build better gaming experiences

The video games industry collects vast amounts of data from its users. But most of this data is disregarded despite its value to the gaming industry.

This course will show you how to store and analyse data effectively and gain insights into game users’ actions and behaviours.

You’ll find out about the different models of data, such as tabular data, atomic data, and relational data.

You’ll understand how to store non-relational data at scale, and why data can be hard to distribute.

You’ll learn how to build better gaming experiences and increase profits.

What topics will you cover?

  • Week 1: Data in all its glory

    • The Data Exhaust
    • Tabular vs Big Data
    • Disappearances in the CAP Triangle

    Week 2: Breaking the CAP Triangle

    • NoSQL
    • Cassandra
    • MongoDb
    • Graphs and Graph Databases
    • Dark Data’s Hiding Place

    Week 3: Taming the Data Exhaust

    • Big Data and Distributed Systems
    • Hadoop, HDFS, MapReduce and Other Technologies
    • Real-time Systems
    • Lambda

    Week 4: Analysis is our answer

    • Introduction to Statistics
    • Consumer Testing
    • Introduction to R and Python
    • Bayesian Statistics
    • Machine learning and data mining
    • The Future of Data Science

Data Science in the games industry

4.4 (7 reviews)

6,403 enrolled on this course

4 weeks

3 hours per week

Digital certificate when eligible

Introductory level

FutureLearn Programmes

Learning on this course

On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.

What will you achieve?

By the end of the course, you‘ll be able to…

Who is the course for?

This course is aimed at those who already work in the games industry, but may also be of interest to those looking to work in the sector.

Who will you learn with?

Andy Cobley

Andy Cobley is a senior lecturer at the school of Science and Engineering at the University of Dundee. He is the program director for the MSc programs in Data Science and Data Engineering.




Mark Whitehorn

Professor Mark Whitehorn specialises in Analytics, Data Science and Machine Learning. He splits his time between the commercial and academic worlds.


Who developed the course?

University of Dundee
The University of Dundee is internationally recognised for the quality of its teaching and research and has a core mission to transform lives across society.

Dundee has particular strengths in life sciences and medical research. The College of Life Sciences at Dundee is one of the largest and most productive Life Sciences research institutes in Europe and has been recognised in the Biotechnology and Biological Sciences Research Council Excellence with Impact Awards for ‘Greatest Delivery of Impact’.

The School of Medicine is among the top-rated in the UK and hosts research expanding from “the cell to the clinic to the community”.

The University is the central hub for a multi-million pound biotechnology sector in the east of Scotland, which now accounts for 16% of the local economy.

More than 17,000 students are enrolled at Dundee, helping make the city Scotland’s most student-friendly. With high-quality teaching, world-leading research, and a £200 million investment in a compact, friendly campus with an unrivalled position in the heart of the city centre, the University of Dundee has been rated number one in Scotland and in the UK Top 10 for the past five years in the Times Higher Education Student Experience Survey.

The University was awarded the Queen’s Anniversary Prize for Higher Education in 2014 for the work of the Centre for Anatomy and Human Identification, one of the world’s foremost institutions for the study and application of human anatomy, forensic human identification, disaster victim identification and forensic and medical art.

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