Data Analytics MSc

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UCAS Code
Non-UCAS
Mode of Study
Full-time
Duration
1 year full-time
Start Date
September 2019

Overview

If you love finding trends, patterns and valuable information hidden inside complicated data sets, our MA Data Analytics degree course will help you develop the skills and knowledge you need to succeed.

On this course, you'll develop your technological and technical abilities, and take your previous studies and experience to postgraduate level. You'll master data mining tools, unlock specialist knowledge, and apply both to analyse real data from our research in cosmology, health informatics and cybersecurity.

You'll plan and produce an in-depth research project too, and we'll provide the expertise and support so you can develop your professional practice. And once you graduate, you'll have a skillset that'll get you noticed – and all the tools you need for a career in data analytics or deep learning.

What you'll experience

On this course you'll:

  • Apply your skills to real-life practical problems with real-world data sets
  • Enhance your existing knowledge by developing solutions that use our supercomputers and networked computer clusters
  • Learn about Advanced Data Management, Applied Data Analytics and Engineering, Business Intelligence and Big Data Applications
  • Make use of our multi-platform network suites and extensive laboratory facilities, which include a mobile computing lab to develop Android and iOS apps, usability lab with eye tracking equipment and a forensics lab
  • Manage and understand the business value that can be extracted from data sets
  • Learn from academic staff with relevant experience in the field, including research and consultancy

Work experience and career planning

We'll help you to identify internships, voluntary roles and opportunities that will complement your studies.

When you finish the course, our Careers and Employability service can help you find a job that puts your data analytics skills to work.

After you leave the University, you can get help, advice and support for up to 5 years from our Careers and Employability service as you advance in your career.

Careers and opportunities

You'll graduate from this course with enhanced skills in data science and analytics. You'll know how to extract the most valuable information from data sets with mixed attributes, and you'll be an expert in new techniques and technologies in the field, making you highly employable.

Career opportunities include:

  • Senior data scientist
  • Data architect
  • Data officer
  • Information strategist
  • PhD research

We'll provide you with as much support as possible in finding employment through close industrial contacts, careers events, recruitment fairs and individual advice.

Entry requirements​

Entry Requirements

  • A first or a second class honours degree in a relevant subject or a degree with relevant experience, or equivalent professional experience and/or qualifications.
  • English language proficiency at a minimum of IELTS band 6.0 with no component score below 5.5.

​Course costs

Tuition fees (2018 start)

  • UK/EU/Channel Islands and Isle of Man students – £7,500
  • International students – £15,900

Additional course costs

These course-related costs aren’t included in the tuition fees. So you’ll need to budget for them when you plan your spending. 

Additional costs

Our accommodation section shows your accommodation options and highlights how much it costs to live in Portsmouth.

You’ll study up to 6 units a year. You may have to read several recommended books or textbooks for each unit.

You can borrow most of these from the Library. If you buy these, they may cost up to £60 each.

We recommend that you budget £75 a year for photocopying, memory sticks, DVDs and CDs, printing charges, binding and specialist printing.

If your final year includes a major project, there could be cost for transport or accommodation related to your research activities. The amount will depend on the project you choose.

​What you'll study

Each unit on this course is worth a certain number of credits.

In each year, you need to study units worth a total of 180 credits. For example, 4 units worth 30 credits and 1 unit worth 60 credits.

Units currently being studied

Core units include:

  • Advanced Data Management
  • Applied Data Analytics and Engineering
  • Business Intelligence
  • Big Data Applications

Changes to course content

We use the best and most current research and professional practice alongside feedback from our students to make sure course content is relevant to your future career or further studies.

Therefore, some course content may change over time to reflect changes in the discipline or industry and some optional units may not run every year. If a unit doesn’t run, we’ll let you know as soon as possible and help you choose an alternative unit.

Learning support

As well as support by faculty teaching staff and your personal tutor, you can use the University’s Academic Skills Unit (ASK).

ASK provides one-to-one support in areas such as:

  • academic writing
  • note taking
  • time management
  • critical thinking
  • presentation skills
  • referencing
  • working in groups
  • revision, memory and exam techniques

Teaching​

Teaching on this course includes:

  • lectures
  • tutorials
  • lab sessions

How you're assessed​

Apply

Apply for this course using our online application form

International students

If you're from outside of the UK, you can apply directly to us or you can get an agent to help with your application. Check your country page for details of agents in your region. To find out what to include in your application, head to the how to apply page of our international students section.

Admissions terms and conditions

When you accept an offer to study with us, you also agree to our terms and conditions as well as the University’s policies, rules and regulations. You should read and consider these before you apply. 
Contact information
Subject area
Computing
Business management and marketing
Postgraduate open evenings and events
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