Computer Science with Data Analytics (100% Online) (MSc)

Entry requirements

Please see our website for further information on entry requirements for this course.

Months of entry

January, March, April, June, September, October

Course content

About the course
A cutting-edge online MSc Computer Science with Data Analytics from a university with leading teaching and research ratings, and superb student satisfaction scores.

- 100% online MSc within 24 months
- Sought after programming and web languages taught, including Python, XML, R and Matlab
- Internationally recognised expertise in computational neuroscience, evolutionary systems, machine learning and AI, software and systems engineering
- Keele alumni discount available

A flexible online Master’s designed to equip you for success in a data science career

The big data analytics market is forecast to grow at an annual growth rate of 29.7% and will be worth $40.6 billion by 2023 (Global Big Data Analytics Forecast to 2023, Frost and Sullivan). The online MSc Computer Science with Data Analytics from 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.

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 course 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.

Set yourself apart by studying with a university celebrated for academic excellence

The Keele University Computer Science and Mathematics Department is fortunate to have academics who are world-leading experts in their field and are actively involved in cutting-edge research, with 80% of the university’s research rated as ‘world leading’ or ‘internationally important’ in the latest Research Excellence Framework.

The department regularly wins and is awarded funding from the leading UK research funding agencies, ESPRC and BSRC, as well as prestigious funding bodies such as the Leverhulme Trust.

An interactive online learning experience from leaders for student satisfaction

You will learn in a highly engaging and interactive online learning environment that has been expressly designed to facilitate collaboration and peer-to-peer learning, featuring tutorials, discussion groups and online forums. Each student will be assigned a dedicated Keele Student Success Coordinator, who will provide you with all of the support you need from enrolment through to graduation.

Keele University is proud of its reputation for delivering a superb student experience and our student-centric credentials are supported by our consistent top 3 rankings for student satisfaction and course satisfaction in the National Student Survey, as well as in other surveys and rankings including the Guardian rankings (2019) and the PTES survey (2019).

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.

Knowledge and skills taught include:
- Visualisation for data analytics
- Mathematics for AI and data science
- Statistical data analytics and databases
- Design and programming
- User interaction design
- Software engineering
- Web technologies and security
- Research and consultancy skills

A career-focused Master’s designed for a challenging and dynamic world of work

The online MSc Computer Science with Data Analytics has been designed for a global audience and can be studied from anywhere in the world. The flexible course design means that you can study around your work and family commitments and can continue to earn and progress in your role whilst you study. The course is industry-led, benefitting from the department’s collaborative projects with industry partners, such as the ‘Knowledge Transfer Partnership’, with Bentley Motors Ltd.

By studying part-time, you are able to continue working full-time and apply your learning to your current role. With six starts a year, you’re not restricted to the traditional academic year and can begin within weeks.

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
- MSc Project Literature Review and Problem Formulation
- MSc Project

Information for international students

Please see our website for further information for international applicants for this course.

Fees and funding

Please see our website for further information on fees and funding for this course.