Course information

Department

Computing
Institute of Management Studies

Length

1 year full-time, 2-3 years part-time

Course overview

The MSc Data Science and Marketing will provide you with the technical and practical skills to combine data science with marketing analytics, allowing you to use technology to transform businesses and marketing strategies and improve performance.

The rate at which we can create data is rapidly accelerating. These enormous quantities of data hold the keys to success in many sectors, and none more so than marketing and business.

The pace at which we produce data is rapidly outstripping our ability to analyse and use it. The MSc in Data Science and Marketing will give you the tools needed to accurately analyse data on a vast scale, giving you highly desirable skills in an increasingly competitive job market.

Why study MSc Data Science and Marketing

  • This course is active. You’ll learn the foundations of data science through data mining, data visualisation and statistical analysis of real-world data from the marketing and business industries.
  • You’ll combine the statistical skills with computational techniques needed to carry out this analysis on a large scale, helping you to join the next generation of data scientists.
  • You’ll learn how to analyse trends in consumer data, make revenue predictions and design better marketing strategies.
  • You’ll use industry-standard software such as Apache, Hadoop, R and Spark to analyse data from social media to digital marketing.
  • You’ll learn from experts in the Department of Computing and the Institute of Management Studies. Many of our academics bring their knowledge from active research and consultancy in across the marketing and computing sectors.
  • You’ll put your learning into practice by undertaking original analysis on real-world data through your final project. This project will let you focus on your specialist area of interest across digital marketing and analytics.
  • Our close links with industry mean that you’ll have the opportunity to learn from industry experts in guest lectures throughout the year. 

Pathways

As well as MSc Data Science and Marketing, we have the following pathway options that give you the chance to specialise in a particular industry area. For each MSc Data Science pathway, in addition to the pathway-specific skills, you’ll learn core skills that are essential for data scientists such as statistical analysis, programming, machine learning, data visualisation, and big data technologies.

In collaboration with Goldsmiths Institute of Management Studies, you’ll gain the skills to become the next generation of data science experts in sectors ranging from healthcare to business.

Contact the department

If you have specific questions about the degree, contact V L Raju Chinthalapati or Alan Zucconi.

What you'll study

Compulsory modules

You'll take the following compulsory modules:

Module title Credits
Data Programming 15 credits
Big Data Applications 15 credits
Statistics and Statistical Data Mining 15 credits
Marketing Strategy 15 credits
Marketing Analytics 15 credits
Digital Marketing and Branding 15 Credits
Final Project in Data Science 60 credits

Optional modules

You'll also take two optional modules from across the Department of Computing and Institute of Management Studies to the value of 30 credits. These modules vary from year to year, and may include the following:

Module title Credits
Data Visualisation 15 Credits
Artificial Intelligence 15 credits
Neural Networks 15 credits
Machine Learning 15 credits
Data Science Research Topics 15 credits
Financial Data Modelling 15 credits
Blockchain Programming 15 credits
Mathematics for Financial Markets 15 credits
Econometrics 15 credits
From National Statistics to Big Data 15 credits
Advanced Econometrics 15 credits
R Programming 15 credits

Download the programme specification. If you would like an earlier version of the programme specification, please contact the Quality Office.

Please note that due to staff research commitments not all of these modules may be available every year.

For 2021-22 and 2020–21, we have made some changes to how the teaching and assessment of certain programmes are delivered. To check what changes affect this programme, please visit the programme changes page.

Entry requirements

You’ll gain a strong foundation in data science and specialist knowledge in a particular field. We do not assume that you will have programmed before, but we do require a level of mathematical dexterity that is commensurate with having completed a numerate degree.

You’ll be expected to have a BA or BSc Degree at 2.1 level or above in subjects like computer science, mathematics, statistics, engineering, economics or finance, management, business, or marketing.

International qualifications

We accept a wide range of international qualifications. Find out more about the qualifications we accept from around the world.

If English isn’t your first language, you will need an IELTS score (or equivalent English language qualification) of 6.5 overall and no element lower than 6.0 to study this programme. If you need assistance with your English language, we offer a range of courses that can help prepare you for postgraduate-level study.

Fees, funding & scholarships

To find out more about your fees, please check our postgraduate fees guidance or contact the Fees Office, who can also advise you about how to pay your fees.

Additional costs

In addition to your tuition fees, you'll be responsible for any additional costs associated with your course, such as buying stationery and paying for photocopying. You can find out more about what you need to budget for on our study costs page.

There may also be specific additional costs associated with your programme. This can include things like paying for field trips or specialist materials for your assignments. Please check the programme specification for more information.

Funding opportunities

Find out more about postgraduate fees and explore funding opportunities. If you're applying for funding, you may be subject to an application deadline.

How to apply

Careers

Prepare yourself for a career in data science and marketing analytics

We carefully designed our data science programme to help you to become successful data science professionals. Core modules of the individual pathways provide you with a solid grounding in the theory of big data, statistics, machine learning and the pathway domain. We train you on how marketers navigate digital marketing environments successfully and implement effective marketing communication strategies. The latest methods and techniques that you learn make you create successful digital business models, and how they build strong brands in digital marketing environments. The programme provides you with the opportunity to learn the core techniques and further it enhances your learning through lab sessions. The lab sessions are going to help you to build hands-on experience of data science tools prior to your graduation. 

The learning outcomes of all modules are in line with the fundamentals and current trends of data science and what exactly employers need and want. Each module provides you with hands-on experience of real-world applications, analysing data sets such as social media, marketing, sales, and competitors’ data while working with industry-standard software tools. Our Industry Advisory Board (IAB) has experts from industry who can guide us from time to time on the industry requirements. Most of the data science programme faculty have worked with industry over many years. The teaching for the data science pathways is always in line with the current trends and technologies of data science. Moreover, while doing your masters, you will have cutting-edge computing facilities for big data analysis and the opportunity to work with eading researchers towards your final projects.

With successful completion, our data science students can take up a wide variety of roles across many organisations.

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