Data analytics student holds tablet with infographics
Mode of Study
Full-time, Part-time
Duration
1 year full-time, 2 years part-time
Start Date
September 2023

Overview

Master big data methodologies and find the valuable trends and patterns buried in complex datasets with our MSc Data Analytics course. You'll build your proficiency with data mining tools, unlock specialist knowledge of professional analysis methods, and apply your learning to real data drawn from professional partners, such IBM, or from live University research into cosmology, health informatics and cybersecurity. 

You'll plan and produce an in-depth research project, using analytics packages like Hadoop and Tableau, 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 to progress your career in data analytics or deep learning.

Study online

Looking for more flexibility with your studies? You can study MSc Data Analytics online. Find out about studying this degree online

The University of Portsmouth is ranked 5th of the modern universities for research quality in computer science and informatics

Eligibility

This course accepts UK, EU, and international students.

Course highlights

  • Plan and deliver your Master's project in collaboration with an industry partner – previous projects have analysed data from Fresh Relevance, Specsavers and IBM to support strategic priorities
  • Build your own database from complicated, real-world datasets, and apply robust statistical methods to produce actionable, data-driven insights
  • Use industry-standard software, such as Knime, Tableau, Hadoop and Spark, and engage with modern techniques including machine learning, AI, and Business Intelligence Modeling
  • Convert your existing study or workplace knowledge into a the necessary skillset for modern data-driven careers
Degree accredited by BCS, The Chartered Institute for IT

Accreditation

This course is accredited by the British Computer Society (The Chartered Institute for IT), partially meeting the educational requirement for CITP and CEng.

What you'll study on this MSc Data Analytics degree course

Full-time

Modules studied

All modules on this MSc Data Analytics are core. 

All modules on this MSc Data Analytics are core. 

The learning outcomes of this module are:
  • Demonstrate a comprehensive understanding of current advanced methods and techniques in data and text analytics
  • Design and implement data mining based applications to solve real-world problems
  • Critically analyse and evaluate the performance of different data mining techniques for text analysis and analyse and interpret the data mining results

Explore this module

The learning outcomes of this module are:

  • Explain main scale-out and Big Data system architectures
  • Explain the methods and algorithms used for dealing with big data
  • Independently apply big data skills to new domains and problems

Explore this module

The learning outcomes of this module are:

  • Demonstrate a comprehensive understanding of the different types of financial data, reports and business decision making process
  • Demonstrate a comprehensive understanding of data warehouse design, multi-dimensional modelling, cloud-based data warehousing, OLAP, aiming to support better business decision making
  • Use your data warehouse understanding to successfully query and gain business insights about a number of different data sets
  • Apply suitable data visualisation techniques for a given business analysis task
  • Summarise and present financial data and insights

Explore this module

The learning outcomes of this module are:
  • Demonstrate a comprehensive understanding of the data management concepts
  • Explain the theoretical underpinning of the non-relational (e.g. NoSQL) and relational models
  • Ability to design and implement a NoSQL and cloud relational database for business, given a set of requirements
  • Demonstrate their awareness and ability to understand implications of ethical and professional codes associated with data management

Explore this module

The learning outcomes of this module are:

  • Investigate and solve a significant practical or (discipline) theoretical problem arising out of the material in their current programme of studies.
  • Plan, manage, evaluate and reflect upon a significant project over an extended period of time.
  • Critically appraise and reflect upon the range of methods, data collection and analysis, in research related to their field and in relation to the dissertation.
  • Select and apply to research, appropriate research methods and apply them to their problems, showing awareness of relevant ethical, social, professional and legal factors.
  • Evaluate and critique research material effectively in the solution of the problem.
  • Assemble a coherent presentation of the outcomes of a masters level project in written and oral form.

Explore this module

Part-time

Year 1
Year 2

All modules on this MSc Data Analytics are core. 

All modules on this MSc Data Analytics are core. 

The learning outcomes of this module are:

  • Demonstrate a comprehensive understanding of the different types of financial data, reports and business decision making process
  • Demonstrate a comprehensive understanding of data warehouse design, multi-dimensional modelling, cloud-based data warehousing, OLAP, aiming to support better business decision making
  • Use your data warehouse understanding to successfully query and gain business insights about a number of different data sets
  • Apply suitable data visualisation techniques for a given business analysis task
  • Summarise and present financial data and insights

Explore this module

The learning outcomes of this module are:
  • Demonstrate a comprehensive understanding of the data management concepts
  • Explain the theoretical underpinning of the non-relational (e.g. NoSQL) and relational models
  • Ability to design and implement a NoSQL and cloud relational database for business, given a set of requirements
  • Demonstrate their awareness and ability to understand implications of ethical and professional codes associated with data management

Explore this module

All modules on this MSc Data Analytics are core. 

All modules on this MSc Data Analytics are core. 

The learning outcomes of this module are:
  • Demonstrate a comprehensive understanding of current advanced methods and techniques in data and text analytics
  • Design and implement data mining based applications to solve real-world problems
  • Critically analyse and evaluate the performance of different data mining techniques for text analysis and analyse and interpret the data mining results

Explore this module

The learning outcomes of this module are:

  • Explain main scale-out and Big Data system architectures
  • Explain the methods and algorithms used for dealing with big data
  • Independently apply big data skills to new domains and problems

Explore this module

The learning outcomes of this module are:

  • Investigate and solve a significant practical or (discipline) theoretical problem arising out of the material in their current programme of studies.
  • Plan, manage, evaluate and reflect upon a significant project over an extended period of time.
  • Critically appraise and reflect upon the range of methods, data collection and analysis, in research related to their field and in relation to the dissertation.
  • Select and apply to research, appropriate research methods and apply them to their problems, showing awareness of relevant ethical, social, professional and legal factors.
  • Evaluate and critique research material effectively in the solution of the problem.
  • Assemble a coherent presentation of the outcomes of a masters level project in written and oral form.

Explore this module

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. If a module doesn't run, we'll let you know as soon as possible and help you choose an alternative module.

MSc Data Analytics student, Haimaa Ibnoucheikh

I knew about mathematics, statistics and data analysis tools, but I didn’t have the skills to deal with Big Data. I looked for the right degree to get these skills and the University of Portsmouth was the choice that suited my aspirations and needs.

Chaimaa Ibnoucheikh, MSc Data Analytics

Careers and opportunities

Careers this Master’s prepares you for

As a successful graduate of this course, you'll be able to show the enhanced skills in data science and analytics that companies need to extract the most valuable information from their data.

You'll have demonstrable experience with industry-standard software, and, if you choose to work with live company data in your studies, you'll have made professional contacts in the industry while making your analytical insights.

You'll also be an expert in new techniques and technologies in the field, with an eye for future developments, making you highly employable.

9 reasons to do a Master's

Graduates of this course have gone onto roles such as:

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

Career outcomes shown are sourced from the latest available graduate outcome surveys. The data shows career outcomes at 15 months after graduation.

Career planning

During your course you'll have expert careers advice from our Careers and Employability Centre, your tutors and our Student Placements and Employability Centre. You can access support from our Careers and Employability Centre for up to 5 years after you graduate.

Female student standing at careers and employability help desk

You'll benefit from:

  • Networking events
  • Applied projects with companies such as IBM, Boeing and Hampshire County Council
  • 1-to-1 appointments  
  • CV and cover letter advice
  • Interview preparation and practice
  • Workshops to enhance your employability skills
  • Recruitment events including the Student and Graduate Opportunities Fair
  • Support starting your own business

Learn more about your career support

How you'll spend your time

We recognise that you'll probably be juggling more demands when you do your Master's degree, as you may be working or you may have family responsibilities.

We'll give you as much indication here as we can of how much time you'll need to be on campus and how many hours you can expect to spend in self-directed study, but please note that these indications are always subject to change. You should receive your full timetable several weeks before you start with us.

It is our expectation that all international students will join us here on campus in Portsmouth.

Course structure

This Master's degree will take 12 months (full-time study) or 2 years (part-time study).  

You can expect:

  • 10 hours of teaching time every week (5 hours for part time students). We do our best to keep all teaching within three days, leaving you the rest of the week for work experience or self-guided study
  • 20 hours of independent study each week (10 hours for part time students)

In the last 3 months of the course you'll be focusing on your research project.

Teaching

Master's study is deeper and more specialised than an undergraduate degree. This means you'll focus on something that really matters to you and your career as you work closely with academics committed to the subject.

You'll spend more time in independent study and research than you did for your undergraduate degree, but the majority of your teaching time will be in-person and face-to-face.

Teaching on this course includes:

  • lectures
  • tutorials
  • lab sessions

Assessment

You’ll be assessed primarily through coursework on this programme, but there is a small number of exams.

Term dates

September start

The Master's academic year runs from September to the following September. There are breaks at Christmas and Easter. Over the summer you'll be writing your project/dissertation.

See key dates

Joining us as an international student

You'll feel at home in our international community and our diverse city. You'll be joining over 5,000 international students from more than 150 countries who are studying with us.

Learn more about international student life and how we can help you with visas, applications, arrival and settling in. 

Information for international students

Your facilities

Outside view of Dennis Scamia building on campus

SCIAMA Supercomputer

Use a supercomputer that can simulate vast regions of the Universe, investigate the properties of hundreds of millions of galaxies and has been used to run complex cosmological experiments and simulations, including supermassive black hole simulations.

Discover the Supercomputer

Female engineering student pointing to computer

High Performance Computing Laboratory

Our most powerful hardware for working with big data. Fitted with a Hadoop Cluster with 12 nodes, 144 virtual cores and 384GB RAM for completing process heavy tasks.

Learn more

Supporting your learning

Master's study is more focused on independent learning than undergraduate study, but you'll get lots of support via video, phone and face-to-face from teaching and support staff to enhance your learning experience and help you succeed. You can build your personalised network of support from the following people and services:

Types of support

Your personal tutor helps you make the transition to postgraduate study and gives you academic and personal support throughout your Master's.

As well as regular scheduled meetings with your personal tutor, they're also available at set times during the week if you want to chat with them about anything that can't wait until your next meeting.

You'll have help from a team of faculty learning support tutors. They can help you improve and develop your academic skills and support you in any area of your study in one-on-one and group sessions.

They can help you:

  • master the mathematics skills you need to excel on your course
  • understand engineering principles and how to apply them in any engineering discipline
  • solve computing problems relevant to your course
  • develop your knowledge of computer programming concepts and methods relevant to your course
  • understand and use assignment feedback

All our labs and practical spaces are staffed by qualified laboratory support staff. They’ll support you in scheduled lab sessions and can give you one-to-one help when you do practical research projects.

As well as support from faculty 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

If you have a disability or need extra support, the Additional Support and Disability Centre (ASDAC) will give you help, support and advice.

Our online Learning Well mini-course will help you plan for managing the challenges of learning and student life, so you can fulfil your potential and have a great student experience.

You can get personal, emotional and mental health support from our Student Wellbeing Service, in person and online. This includes 1–2–1 support as well as courses and workshops that help you better manage stress, anxiety or depression.

If you require extra support because of a disability or additional learning need our specialist team can help you.

They'll help you to:

  • discuss and agree on reasonable adjustments
  • liaise with other University services and facilities, such as the library
  • access specialist study skills and strategies tutors, and assistive technology tutors, on a 1-to-1 basis or in groups
  • liaise with external services

Library staff are available in person or by email, phone or online chat to help you make the most of the University’s library resources. You can also request one-to-one appointments and get support from a librarian who specialises in your subject area.

The library is open 24 hours a day, every day, in term time.

The Maths Cafe offers advice and assistance with mathematical skills in a friendly, informal environment. You can come to our daily drop-in sessions, develop your mathematics skills at a workshop or use our online resources.

If English isn't your first language, you can do one of our English language courses to improve your written and spoken English language skills before starting your degree. Once you're here, you can take part in our free In-Sessional English (ISE) programme to improve your English further.

​Course costs and funding

Tuition fees (September 2022 start)

  • Full-time: £8,100 (may be subject to annual increase)
  • Part-time: £4,050 per year (may be subject to annual increase)

  • Full time: £8,100 (may be subject to annual increase)
  • Part-time: £4,050 per year (may be subject to annual increase)

These figures both include the Transition Scholarship for EU students.

  • Full-time: £18,300 (may be subject to annual increase)
  • Part-time: £9,150 per year (may be subject to annual increase)

University of Portsmouth graduates may receive a 20% alumni tuition fee discount

Fees are subject to annual increase. Read our tuition fees terms and conditions.

You'll be able to pay your fees in instalments. Find out how to pay your tuition fees.

Funding your studies

Explore how to fund your studies, including available scholarships and bursaries.

If you're a UK student, you may be eligible for a Government Postgraduate Master's Loan, which you can use to help with course fees and living costs.

If you're a UK student who achieved a first in your undergraduate degree you may be eligible for a £3,000 University of Portsmouth scholarship.

Additional 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 could include:

  • Accommodation: Accommodation options and costs can be found on our accommodation pages.
  • Recommended reading: You can borrow key texts from the library and if you choose to purchase these texts they may cost up to £60 each.
  • General costs: such photocopying, memory sticks, printing charges, binding and specialist printing. We suggest budgeting £75 per year.
  • Final project transport or accommodation: where necessary, which related to your research activities. The amount will depend on the project you choose.

Read more about tuition fees and living costs, including what your tuition fees cover.

Entry requirements​

Eligibility

This course accepts UK, EU, and international students.

September 2023 start

  • A first or an upper second-class honours degree in a relevant subject or a degree with relevant experience, or equivalent professional experience and/or qualifications.

Please get in touch if you're not sure if your undergraduate subject is relevant to this degree.

Equivalent professional experience and/or qualifications will also be considered, such as previous study, employment, voluntary work and training courses, including courses and qualifications you didn't complete. Learn more about our Recognition of Prior Learning (RPL).

If you're applying as an international student with a non-UK degree, you’ll need to show you meet the UK entry requirements listed above.

To find out if your non-UK degree or other qualification is accepted, please visit our page for your country and view the UK equivalent of your qualification. 

  • English language proficiency at a minimum of IELTS band 6.0 (or equivalent) with no component score below 6.0.

You do not need an IELTS or equivalent certification if:

  • you have a UK degree
  • you have a degree from a majority English speaking country (not taught by Distance Learning)
  • you are a national of a majority English speaking country

Degrees taught solely in English from non-majority English speaking countries will be considered on a case by case basis. Find out more about our English language requirements.

If you do not meet the English language requirements yet, you can achieve the level you need by successfully completing a pre-sessional English programme before you start your course.

How to apply

Unlike undergraduate applications, which go through UCAS, applications for this Master's course are made directly to us.

There's no deadline for applications to this course. We accept applications right up until the start date in September, as long as there are places available. If you wait until September to apply, you may find that the course is full.

If you're applying as an international student, remember that you'll need to leave plenty of time to get your visa organised.

You can find more advice about applying in our Master's application checklist. International students and current students and recent graduates of the University of Portsmouth also have some different application options, which are detailed below.

Extra information for international students

If you're an international student, you can apply directly to us using the same application form as UK students.

You could also 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.

If you don’t meet the English language requirements for this course yet, you can achieve the level you need by successfully completing a pre-sessional English programme before you start your course.

Standard applications

Start this course in September 2023

Apply now (Full-time)

Apply now (Part-time)

I'm a current Portsmouth student, or a recent Portsmouth graduate

If you're currently in your final year of study at Portsmouth, or you graduated since July 2021, you're eligible to make a fast track application. You'll have:

  • a shorter application form to complete
  • access to the 20% Alumni fee discount
  • a guaranteed conditional offer, for most Master's courses 

Learn more about fast track

After you apply

Once we receive your application, we may ask you for further information. We will then either make you an offer or suggest alternatives if your application is unsuccessful.

You'll usually get a decision within 10 working days, so you shouldn't have to wait too long. Some courses have an interview stage – we'll let you know if you need to prepare for one.

Learn more about how we assess your application.

Admissions terms and conditions

When you accept an offer to study at the University of Portsmouth, you also agree to abide by our Student Contract (which includes the University's relevant policies, rules and regulations). You should read and consider these before you apply.