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MSc Computer Science with Data Analytics (Online)

  • DeadlineStudy Details: 24 Months

Masters Degree Description

Analytics. Whether you're a budding data enthusiast or a seasoned professional looking to refine your analytical skills, this online programme is your pathway to becoming a data virtuoso.

This comprehensive programme offers a perfect blend of computer science fundamentals and specialised data analytics modules. Dive deep into the world of data science, exploring mathematical foundations, data analysis techniques, and advanced algorithms. From understanding data structures and algorithms to applying data analysis methods, this programme equips you with the skills demanded in the data-driven job market.

Entry Requirements

A Bachelor’s degree equivalent to a UK second class Honours degree.
The school will consider non-standard applicants who can demonstrate that they have relevant work experience in a position equivalent to a graduate, over a sustained period of time, which will typically be 4 to 5 years via a Curriculum Vitae and/or LinkedIn profile.

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Fees

For fees and funding options, please visit website to find out more.

Programme Funding

The University of Hertfordshire offer a range of tuition fee discounts and non-repayable scholarships to support our postgraduate students, visit website to find out more.

Student Destinations

Upon graduation, you'll find a multitude of career avenues awaiting you. Lead as a Data Scientist, leveraging data to drive business decisions. Dive into the world of Data Analysis, uncovering valuable insights as a Data Analyst. Craft data-driven strategies as a Business Intelligence Analyst, ensuring organisations stay competitive. This programme not only awards you a degree but also unlocks the door to a thriving career in data analytics.

Module Details

Core modules:

Data Analytics and Data-Driven Decision Making
Principles of Data Science
Enterprise Databases
Data Structure and Algorithms 2
Programming and Program Design
Information System Design
Data Structure and Algorithms 1
Responsible Technology 1

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