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  • DeadlineStudy Details: Full Time, 1 Years Full Time, 16 Months

Masters Degree Description

This course is part of our master's programme in Computer Science.

The MSc in Data Science and Analytics utilises our strong international reputation for research in these areas. The expertise of our staff influences this course which explores current research and practice in data science and analytics, extending students’ knowledge and understanding of the principles and practice of obtaining data from various sources, the essential methods for pre-processing and cleaning data, data analytics and modelling.

Entry Requirements

For admission to MSc Data Science and Analytics, the normal requirement is a good honours degree (or equivalent) in computer science or cognate discipline. The choice of award title students may be accepted on to will be determined by the award applied for and the prior learning of the student as demonstrated by the transcript for existing qualifications held by the applicant.

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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

Our master's programme is designed to give Computer Science graduates the specialist, up-to-date skills and knowledge sought after by employers, whether in business, industry, government or research.

The MSc Data Science and Analytics course will equip students with the knowledge and practical skills in data science and analytics from the foundations of data science in mathematics and programming, data mining, machine learning, to data analytics applications.

Successful graduates may pursue a career as a data scientist or data engineer, data analytics consultant, digital marketing manager across a wide range of sectors.

Module Details

Core modules:

Data Mining
Neural Networks and Machine Learning
Foundations of Data Science
Applied Data Science and Analytics
Data Science and Analytics Masters Project
Team Research and Development Project
Responsible Technology

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