Overview

This course is suitable for numerate graduates across many disciplines. Non-computing graduates are eligible.

Data can provide the insight to shape decision-making, power scientific innovation, improve business operations or inform government policy. But it takes state-of-the-art computer science methods to unlock that power. Our MSc Data Science lets you master those methods.

With the units you’ll study, we’ll equip you with the techniques of statistical analysis and data mining that can help you find the story in complex, high-volume, high-dimensional data from various sources – formulating high-quality data models and interpreting the results. We’ll also help you put the technical skills into a real-world, professional context – helping you communicate your findings in the workplace, and address any of the legal or ethical questions that come with data processing.

Throughout the programme, you’ll have guidance from an expert team with a real pedigree in the area. So what you learn in the classroom will be rooted in the kind of cutting-edge research that’s addressing societal challenges, making an impact on areas like healthcare, future cities and security.

Whether you plan to continue your studies onto PhD level or you’re looking ahead to a career as a data scientist, data architect, database developer or big data analyst – to name a few – this degree can pave the way.

Features and Benefits

  • Excellent facilities – The School has an extensive range of equipment in our own specialist laboratories, together with the support of our dedicated technical staff.
  • Qualification with prospects – Follow in our MSc graduates’ footsteps, charting a career path in a wide range of industries, or going on to study at PhD level.
  • Cutting-edge research – Our research is rated 'internationally excellent' with some rated 'world-leading' in the 2014 Research Excellence Framework (REF).
  • Excellent standards – Recognised for our expertise, the school is a member of the Oracle Academy and an academic affiliate of the Chartered Institute for IT in the UK – the British Computing Society (BCS).
  • Professional focus – As an Academy of the Computer Technology Industry Association (CompTIA), we deliver their partner programme which provides a pathway for students towards a rewarding, high-growth IT career.
  • Athena SWAN award – Manchester Metropolitan University’s commitment to promote and advance gender equality in STEM subjects has been recognised with a Bronze Athena SWAN award.

Career Prospects

Between 2012 and 2015, there was a 35% increase in demand for Data Scientists in the UK. It’s a trend that looks set to continue, according to reports from McKinsey and Company, with an expected 56,000 new big data jobs created in 2019.

With the expertise you’ll develop with us, you should be well-equipped to make one of those jobs yours. You should be ready to apply for roles like:

  • Data Scientist
  • Data warehouse analyst
  • Data architect/modeller
  • Database developer
  • Data Governor
  • Big Data Analyst
  • Decision Sciences Analyst

You’ll have the specialist support of our careers service from day one, and for three years after you leave us. Between the services available through the School of Computing, Mathematics and Digital Technology and the University’s Career Service, you’ll have access to everything from employer events and careers fair to employability skills workshops and dedicated advisors.

Entry Requirements

This course is open to anyone with a good UK honours degree – at least a 2:2 – or the international equivalent, in a STEM subject. We might also consider your application if you a have a relevant lower-level qualification, together with substantial professional experience in a related field.

Course Details

In your first term, you’ll study two units introducing you to data science, while getting you up to speed on computational statistics and visualisation. In your second term, you’ll cover two more units, based on machine learning, big data and high-performance computing. Then, in the final third of your programme, you’ll tackle an in-depth masters project.

Our research in Informatics

Manchester Metropolitan University's School of Computing, Mathematics and Digital Technology is home to the Informatics Research Centre (IRC), an interdisciplinary hub that conducts leading work on fundamental and applied computer science. Areas of research include intelligent systems, image and sensory computation, logic, peer-to-peer computing, computation, novel and natural computing, informatics and computational fluid dynamics. Research in the School was rated internationally excellent with some rated world-leading in the 2014 Research Excellence Framework.

The Centre is characterised by its distinctive mix of expertise, research strengths and cross-discipline working. Its overarching aim is to use computer science to address societal challenges and ensure research has a significant impact in areas such as healthcare, future cities and security.

Fees

UK and EU students

UK and EU students: Full-time fee: £8,500 per year. Tuition fees will remain the same for each year of your course providing you complete it in the normal timeframe (no repeat years or breaks in the study).

Non-EU and Channel Island students

Non-EU international and Channel Island students: Full-time fee: £15,500 per year. Tuition fees will remain the same for each year of your course providing you complete it in the normal timeframe (no repeat years or breaks in the study).

Program taught in:
English

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Last updated November 16, 2018
This course is Campus based
Start Date
Sep 2019
Duration
1 year
Full-time
Price
15,500 GBP
per year Non-EU and Channel Island students | UK and EU students: £8,500 per year
Deadline
By locations
By date
Start Date
Sep 2019
End Date
Application deadline

Sep 2019

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