MSc Data Science - 100% Online
Delivered 100% online and part-time, so you can fit studying around your existing work and family commitments
University of Essex Online
Summary
- 5% discount if full tuition fee paid up-front.
- UK and EU nationals living in England may be eligible ...
- Tutor is available to students
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Overview
This MSc Data Science from the University of Essex Online will help you unlock the tools needed to collect and analyse data, as well as the skills required to implement this valuable knowledge in real-world scenarios. You’ll be given the opportunity to explore a broad range of topics and take part in collaborative projects designed to demonstrate the reality of working within this fast-paced field.
Qualification
Course media
Description
Throughout this 100% online, part-time degree, you’ll develop several programs and applications, with a focus on programming languages such as R, SQL and Python. You’ll also gain a strong academic foundation which will allow you to unlock a range of careers available in this field.
The MSc Data Science is made up of the following modules and, upon completion, is equal to a total of 180 credits.
- The Data Professional (20 credits)
- Numerical Analysis (20 credits)
- Deciphering Big Data (20 credits)
- Visualising Data (20 credits)
- Machine Learning (20 credits)
- Research Methods and Professional Practice (20 credits)
- MSc Computing Project (60 credits)
Shorter awards are also available; the 16-month postgraduate diploma (PG Dip) at 120 credits and the eight-month postgraduate certificate (PG Cert) at 60 credits.
Delivery
We’re a 100% online education provider, so we use a state-of-the-art virtual learning environment (VLE) to deliver our teaching, resources and assessments. Our system tracks and manages the learning process in real-time and provides you with immediate access to your learning materials. The VLE is accessible 24/7 and allows both students and tutors to actively take part in real-time conversations and live seminars.
Assessment
All assessments are delivered through our virtual learning environment (VLE). You’ll submit assignments through the VLE, such as written reports, discussion forum participation or reflective journal entries.
We also have a policy of ensuring that the work submitted by students is authentic – we use a well-established electronic monitoring system to check for plagiarism.
Requirements
Academic entry route
You must have the following qualifications as a minimum:
-an undergraduate degree from an approved institution, equivalent to a UK Honours degree, or a relevant professional qualification
Work experience entry route
You must meet the following criteria:
-at least three years’ relevant work experience in IT or computer science
English language requirement
Our courses are taught in English, so to study with us you must have an IELTS (Academic) score of 6.5 or equivalent.
Career path
This course will prepare you for roles such as Data Scientist, Data Engineer, Big Data Analyst, Machine Learning Engineer, Data Modeller, Business Intelligence Lead, Researcher, Qualitative Expert, Data Architect, and Data Product Manager, among others.
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This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.
