Computer Science with Data Analytics, M.Sc. | Part time online | Keele University | United Kingdom
24 months
Duration
3720 GBP/year
3720 GBP/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The Computer Science with Data Analytics course from the Keele University has been carefully designed to develop the knowledge and skills required to capitalise on the acute skills gap in this fast-growing area and succeed in computer science and data analytics careers.

Visit the official programme website for more information

Overview

With no prior academic or professional experience in computer science or data science required for admission, the programme is intended for proactive individuals who wish to embark on an exciting new career in this high growth field. Equally, it is also for professionals who currently work in computer science and data analytics roles and are looking for an academic qualification to accelerate their career progression.

The Computer Science with Data Analytics course from the Keele University  equips you with sought after skills in a high demand field and prepares you to excel in a wide range of careers, from data scientist to data analyst to data engineer, at the numerous companies who are investing in the use of data collection and data analytics to support the delivery of efficient business decisions, and superior services and products, such as investment analysis, customer satisfaction analysis and the monitoring of environmental pollution.

What you will learn?

On this data science course, you will develop an in-depth understanding of data management across a range of areas, from finance to environmental sustainability. You will study the foundations of artificial intelligence methods and advanced applications of data visualisation techniques and tools in key fields, such as smart and green energy management, global healthcare monitoring and insurance risk analysis. You will learn programming languages, including Python, R and Matlab.

Programme Structure

Modules:
  • Statistical Data Analytics and Databases
  • Visualisation for Data Analytics
  • Mathematics for Artificial Intelligence and Data Science
  • Design and Programming
  • User Interaction Design
  • Software Engineering With Group Project
  • Web Technologies and Security
  • Research and Consultancy Skills

Key information

Duration

  • Part-time
    • 24 months

Start dates & application deadlines

Language

English
IELTS admission requirements IELTS
6
TOEFL admission requirements TOEFL® IBT
79

Credits

180 alternative credits

Delivered

Online

Academic requirements

GPA admission requirements GPA
Lower Second Class

English requirements

IELTS admission requirements IELTS
6
TOEFL admission requirements TOEFL® IBT
79

Other requirements

General requirements

You should normally have, or be about to complete:

  • A 2:2 undergraduate degree or a UK master’s degree (or international equivalent).
Or:
  • A third-class honours degree or an ordinary degree (without honours) or UK equivalent professional qualification with a minimum of two years’ appropriate work experience.
Or:
  • Applicants who do not hold a recognised degree will be asked to provide evidence which demonstrates a minimum of three years’ relevant computing, IT or data management experience. The evidence will be assessed on a case-by-case basis.

Tuition Fee

To alway see correct tuition fees
  • International

    3720 GBP/year
    Tuition Fee
    Based on the tuition of 7440 GBP for the full programme during 24 months.
  • National

    3720 GBP/year
    Tuition Fee
    Based on the tuition of 7440 GBP for the full programme during 24 months.
  • £7,440 total fees with option to pay per module
  • Per 15-credit module fee: £620

Funding

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.

Our partners

Computer Science with Data Analytics
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Keele University

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