• Application Deadline
  • 12 months
    Duration
The MSc Data Science and Computational Intelligence programme offered by the Coventry University aims to respond to the demand for data scientists with the skills to develop innovative computational intelligence applications, capable of analysing large amounts of complex data to inform businesses decisions and market strategies.

Overview

Big data processing and information retrieval drives some of the world most successful and high-tech businesses; from well-known companies like Google and Twitter, to specialist medical informatics providers and even space exploration.

The main theme throughout the MSc Data Science and Computational Intelligence programme offered by the Coventry University is automatic big data processing and information retrieval through machine learning, neural network and evolutionary computing. We will cover how to apply cutting-edge machine learning techniques to analyse big datasets, assess the statistical significance of data mining results and perform advanced data mining tasks. 

We will introduce you to important frameworks such as Hadoop Map Reduce and Spark, in combination with easy to use and powerful development tools such as Scala, Python, Matlab and R. We will look at emerging theories, practices, approaches and management of distributed and intelligent computing systems. You will be introduced to the key concepts of cloud computing as an architectural stack for understanding infrastructure as services, platform as services and software as services, as well as other types of distributed computing technology, such as grid computing and distributed databases. You will have opportunities to use simulation tools, including CloudSim, to simulate real world scenarios. 

Career prospects

The highly-regarded Harvard Business Review has previously declared the role of ‘data scientist’ to be the sexiest career of the 21st century.

The explosion in the amount of available data now available to businesses, coupled with its potential value to improve competitive advantage, is driving the continued strong demand for data scientists throughout the world.

A 2014 survey by consulting firm Accenture on clients’ big-data strategies in April 2014 revealed that more than 90% planned to hire more employees with expertise in data science, yet almost half cited a lack of talent as a chief obstacle. 

Opportunities following successful completion of this course could include careers as data scientists, data professionals and data analysts in variety of sectors including financial services, retail, marketing, customer and business intelligence.

The practical nature of our course places an emphasis on your future employability, developing a wide range of technical, analytical, design and professional skills. 

UK's Top Modern University

Are you looking to develop skills for your future career? Take the next step and choose to study at the UK's Top Modern University (Guardian University Guide 2019). Coventry University puts employability at the centre of all that we do and have great links with industry, helping thousands of students to find relevant work placements and internships.

Programme Structure

Courses include:

  • Machine Learning and Data Mining
  • Intelligent Information retrieval 
  • Cloud Computing and Distributed Technologies 
  • Advanced Database Systems
  • Evolutionary and Fuzzy Systems 
  • Artificial Neural Networks 
  • Business Intelligence and Big Data Processing 
  • Research Methods in Computing

Detailed Programme Facts

  • Programme intensity Full-time
    • Full-time duration 12 months
  • Credits
    180 alternative credits
  • Languages
    • English
  • Delivery mode
    On Campus
  • More information Go to the programme website

English Language Requirements

You need the following IELTS score:

  • Minimum required score:

    6.5

    The IELTS – or the International English Language Test System – tests your English-language abilities (writing, listening, speaking, and reading) on a scale of 1.00–9.00. The minimum IELTS score requirement refers to which Overall Band Score you received, which is your combined average score. Read more about IELTS.

    Get a free IELTS practice test

Academic Requirements

You need the following GPA score:

Required score: Upper Second Class

Applicants for graduate programs must have the equivalent of a bachelor’s degree with a minimum GPA equivalent to Upper Second Class on the UK Honour scale. Admitted applicants typically have an undergraduate GPA of or better on the UK Honour scale. No exam grade should be lower than 4.5 (European grade scale) or D (American grade scale).

Your GPA (Grade Point Average) is calculated using the grades that you received in each course, and is determined by the points assigned to each grade (e.g. for the US grading scale from A-F).

General Requirements

Applicants for this programme will normally be expected to possess a minimum of upper second class honours degree in Computer science, Mathematics or other relevant area.

Tuition Fee

  • International

    15800 GBP/year
    Tuition Fee
    Based on the original amount of 15800 GBP per year and a duration of 12 months.
  • EU/EEA

    8350 GBP/year
    Tuition Fee
    Based on the original amount of 8350 GBP per year and a duration of 12 months.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.

Living costs for Coventry

  • 656 - 1060 GBP/month
    Living Costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Our scholarships are worth up to £10,000 and every student that applies will be considered. Fulfil your potential this academic year with Coventry University!

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Check your fit
Check your budget and academic fit with this study

Wishlist

Did you know you can compare your wishlisted programmes with our new Comparison tool?