Unlock the power of data.

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 Department of Computing and Mathematics 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.

Professional Accreditation

The Department is an educational affiliate of the British Computing Society, the Chartered Institute for IT in the UK (BCS), a member of the Oracle Academy and an Academy for the Computer Technology Industry Association (CompTIA). Many of the School's degree programmes are accredited by BCS.

The Department is also an academic partner of the Institute of Information Security Professionals who recognise our expertise in the field of information and cyber security. Mathematics degree courses are approved by the Institute of Mathematics and its Applications.

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.

Overseas applicants will require IELTS with an overall score of 6.5 with no less than 5.5 in any category, or an equivalent accepted English qualification.

Pre-sessional English courses are available to support you in meeting the English language requirements.

Please note: to apply for this course, you only need to provide one reference.

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 around 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 Advanced Computational Science

Manchester Metropolitan University's Department of Computing and Mathematics is home to the Centre for Advanced Computational Science (CfACS) which conducts world‐leading theoretical and applied research in computer science, distributed across five main themes:

  • Machine Intelligence
  • Data Science
  • Smart Infrastructure
  • Human‐Centred Computing
  • 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.

Year 1

This course is taught full-time over 1 year and the following units will be taken within 1 year.

  • Introduction to Data Science
  • Computational Statistics and Visualisation
  • High-Performance Computing and Big Data
  • Data Management and Machine Learning
  • MSc Data Science Project
Assessment Weightings and Contact hours

10 credits equate to 100 hours of study, which is a combination of lectures, seminars and practical sessions, and independent study. A Masters qualification typically comprises of 180 credits, a PGDip 120 credits, a PGCert 60 credits and an MFA 300 credits. The exact composition of your study time and assessments for the course will vary according to your option choices and style of learning, but it could be:

Study

  • Full-time: 50% lectures, seminars or similar; 0% placement; 50% independent study

Assessment

  • Full-time: 75% coursework; 0% practical; 25% examination
Additional information about this Course

Students are expected to behave in a professional and business-like manner when on placement or conducting projects with external partners.

Placement Options

This MSc course is a short, intensive programme which doesn’t leave much room for a placement. But there are employers who might offer short-term internship opportunities. With our regular ‘meet the employer’ events, together with the support of our careers team, we’ll be there to help you make the most of any available opportunities.

Department of Computing and Mathematics

Our Department of Computing and Mathematics is a vibrant community of staff and students, which prides itself on internal and external collaboration.

The department is committed to teaching and research that addresses societal challenges through disciplines like artificial intelligence, big data, computational fluid dynamics, cyber security, dynamical systems, the internet of things, smart cities, robotics and virtual reality.

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 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 study).
Additional Information

A Masters qualification typically comprises 180 credits, a PGDip 120 credits, a PGCert 60 credits, and an MFA 300 credits. Tuition fees will remain the same for each year of study provided the course is completed in the normal timeframe (no repeat years or breaks in study).

Part-time students may take a maximum of 90 credits each academic year.

Additional Costs

Specialist Costs

All of the books required for the course are available from the library. The University also has PC labs and a laptop loan service. However, many students choose to buy some of the core textbooks for the course and/or a laptop. Students may also need to print their assignments and other documents. Campus printing costs start from 5 pence per page. Estimated costs are £300 for a laptop, up to £100 each year for books and printing.

Professional Costs

Students can choose to join the BCS at any point in their study. It is not required but is useful. The annual charge is identified for every year there is also an option to take course membership for £57.

Program taught in:
  • English

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Last updated September 26, 2019
This course is Campus based
Start Date
Sep 2020
Duration
1 year
Full-time
Price
8,500 GBP
UK and EU students: Full-time: £8,500 per year. Non-EU international and Channel Island students: Full-time: £15,500 per year.
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There is no deadline for applications to our postgraduate programmes, however, we recommend you apply as early as possible to allow for processing of applications and visas.
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