School of Engineering, Computing and Mathematics

MSc Data Science and Business Analytics

Duration

1 year
Course type

Full-time, Part-time route available
Study location Plymouth
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This one-year conversion MSc is designed for graduates from a wide range of disciplines and experience. It gives you skills in data analytics, computing and business. Using sophisticated analytics techniques, including social network visualisation and sentiment analysis, and professional software, including R tidyverse, Python and SQL, you gain the skills and knowledge to transform data into commercial value and boost your employability.

Meet the lecturers

23 May 2025, starts at 13:00 (UK time)
Register now to join our virtual event and speak with our postgraduate programme leaders.

Careers with this subject
You are in a prime position to pursue a wide variety of prestigious and extremely well-rewarded positions, which include, but are not restricted to: data analyst and data manager, research and business analyst, social media and business strategist, data scientist and data engineer.

Key features
  • Equips applicants from all undergraduate degrees with broad professional competence in one of the world economy’s most sought-after postgraduate subject areas.
  • Offers taught credits in the three areas of analytics, computer science and business, with a wide choice of available business modules.
  • Provides a flexible individual project in one or more of the three taught areas supervised by world-leading subject experts.
  • Establishes high proficiency in the use and application of state-of-the-art programming languages including R, Python and SQL.
  • Benefits from easy access to cutting-edge specialist computing facilities and next-generation software and hardware on a single campus. You may access facilities such as our NVIDIA seed-funded GPU Research Centre and our Lovelace System High Performance Computing facility.
  • Develops modern analytics expertise for obtaining business, scientific and social insights from big data sources and social media.
  • Enjoy research-led teaching from leading academics with world-renowned expertise in data science, data analytics, statistics, computer science and business.
  • Offers a range of general and merit-based postgraduate scholarships for local and international students.
  • Students in engineering, science and the arts have access to a range of specialist equipment and innovative laboratories in our new engineering and design facility .

Course details

  • Programme overview

  • During your MSc year, you take five core modules, one optional module depending upon your interests, and complete a masters-level project over the summer. Student projects can be on data analytics, computing or business and can be a multidisciplinary mix of these areas. Throughout the programme, you learn how to master sophisticated analytics techniques and professional software, including R tidyverse, Python and SQL databases, to handle and exploit big data, and to work as part of a project team. You also develop practical and professional competence in data science and business analytics, and learn to make strategic decisions in a broad range of business-related practical situations.
    In semester two, you select an optional module to suit your interests and career aspirations.

    Core modules

    COMP5000
    Software Development and Databases

    This module will provide knowledge and skills in software development and database design. It will cover computational problem solving, abstraction and problem decomposition. The module will enable students to identify appropriate system requirements related to the relational database model.

    MATH514
    Contemporary Issues in Data Science

    This module utilises acknowledged experts to teach students about 'hot topics' in their field of data science. The content of this module will be dynamic and will evolve to keep up-to-date with the latest developments in data science. Current indicative content might include social media analytics, financial technologies, health data science, risk analytics and data science for sustainable development, for example.

    PROJ518
    MSc Dissertation and Research Skills 60 credits

    You will develop a methodical approach to research that helps propose research projects that are practically realistic and academically worthwhile. A substantial project will be planned and carried out using ethically suitable quantitative and qualitative research methods. The project will be reported through a high quality, scholarly and professional write-up, either as a formal dissertation or journal paper.

    100% Coursework

    MATH525
    Business Analytics

    This module provides insight into business data analytical processes and how they can direct informed decision making in Finance and Business Applications. The module provides students with the ability to make good decisions based on business data. It introduces data sources and methods of analysis that can be applied to solve complex business decisions and guide business strategy.

    MATH517
    Big Data Visualisation and Analytics 20 credits

    Sophisticated techniques are needed to visualize and analyse increasing quantities of Big Data. This module introduces the modern data science techniques and professional software to handle large complex datasets, as well as experience of writing professionally documented code and data analysis reports. Data analysis pipelines, including data cleansing, are used to produce data visualizations and statistical analysis.

    100% Coursework

    MATH518
    Applied Data Modelling and Artificial Intelligence

    This module provides an understanding of modelling and analytics techniques for Data Science. It covers modern data modelling techniques for making strategic decisions in a broad range of Business related practical situations. Students get a hands-on introduction to: Bayesian inference, machine learning, and artificial intelligence. It provides additional practice in making professional presentations.

    Optional modules

    ACF7003
    International Finance

    This module will provide you with a wide perspective on international finance and how this relates to foreign exchange markets, derivatives markets and international parity theories. You will also undertake a thorough examination of managing currency risks with modern instruments of hedging.

    ACF7004
    Analysis of Financial Statements

    This module will provide you with a broad overview of the financial reporting environment in which companies operate. You will be introduced to the analytical tools, which can be used to assess and compare companies within specific sectors. The concept of corporate governance and its impact on companies’ results and reputation will also be examined.

    MKT7004
    Social Media Theory and Practice

    This module exposes students to key concepts and theories relating to online communities and social networking. The module will provide the academic and conceptual basis for the development of effective social media engagement strategies such as, social media user behaviour, online community and personalisation.

    STO7002
    Current Issues in International Business

    This module provides you with the opportunity to examine a range of contemporary issues within the context of International Business. The module adopts a cross-disciplinary approach, enabling discussion and debate within a range of stakeholder perspectives.

    STO7006
    Operations and Project Management

    This module will focus on the key challenges facing Operations and Project Managers. It will examine key topics such as the management of processes, quality improvement, capacity and demand management, project planning, resource scheduling and risk management, along with communication, organisation and leadership. The module provides insights and practical knowledge through the acquisition and application of tools to enable students to lead successful operations and projects.

    STO7012
    International Business Strategy for Competitive Advantage

    Using case studies, you will focus on some of the strategies that have been most successful in achieving international competitive advantage.

The modules shown for this course or programme are those being studied by current students, or expected new modules. Modules are subject to change depending on year of entry.

Every postgraduate taught course has a detailed programme specification document describing the programme aims, the programme structure, the teaching and learning methods, the learning outcomes and the rules of assessment.

The following programme specification represents the latest programme structure and may be subject to change:

MSc Data Science and Business Analytics programme specification_5764

Entry requirements
A 2:2 honours degree, or equivalent, in any discipline. Computer appreciation is expected by students on this course.
We welcome applicants with international qualifications. To view other accepted qualifications please refer to our tariff glossary .
If English is not your mother tongue 6.5 IELTS with a minimum of 5.5 in any element in a secure English language test.
The University of Plymouth offers pre-sessional English language courses if you do not have this.
Prior knowledge of data analysis or statistics and/or work experience are not necessary.

Fees, costs and funding
2024-2025 2025-2026
Home £11,000 £11,350
International £19,800 £20,400
Part time (Home) £610 £630
Full time fees shown are per annum. Part time fees shown are per 10 credits. Please note that fees are reviewed on an annual basis. Fees and the conditions that apply to them shown in the prospectus are correct at the time of going to print. Fees shown on the web are the most up to date but are still subject to change in exceptional circumstances. More information about fees and funding.

Find out more about your eligibility for a postgraduate loan

You may now be eligible for a government loan of over £11,000 to help towards the cost of your masters degree.


Tuition fee discount for University of Plymouth graduates

If you studied your undergraduate degree at Plymouth, you may be eligible for a fee discount if you complete your postgraduate studies here as well.
  • 10% or 20% discount on tuition fees for home students
  • For 2024/2025 entry, a 20% discount on tuition fees for international students (International alumni who have applied to the University through an agent are not eligible to receive the discount)

How to apply

Apply online

When to apply
This programme starts in September. Applications can be made throughout the year, and we encourage you to contact the Programme Manager to discuss the programme.
Before you apply
Familiarise yourself with the information required to complete your application form. You will usually be required to supply:
  • evidence of qualifications (degree certificates or transcripts), with translations if not in English, to show that you meet, or expect to meet the entry requirements
  • evidence of English language proficiency, if English is not your first language
  • a personal statement of approximately 250-400 words about the reasons for your interest in the course and outlining the nature of previous and current related experience. You can write this into the online application form, or include it as a separate document
  • your curriculum vitae or résumé, including details of relevant professional/voluntary experience, professional registration/s and visa status for overseas workers
  • proof of sponsorship, if applicable.
If you require further information take a look at our application guidance .
Disability services
If you have a disability and would like further information about the support provided by University of Plymouth, please visit our Additional support for students with an impairment, health condition or disability website.
International students
Support is also available to overseas students applying to the University from our International Office .
Submitting an application
Once you are happy that you have all of the information required you can apply using our online postgraduate application form (the blue 'Apply' icon on this page).
What happens after I apply?
You will normally receive a decision on your application within four weeksof us receiving your application. You may be asked to provide additional information; two academic/professional references, confirming your suitability for the course; or to take part in an interview (which in the case of overseas students may be by telephone or video conference) and you will be sent a decision by letter or email.
We aim to make the application procedure as simple and efficient as possible. Our Admissions and Course Enquiries team is on hand to offer help and can put you in touch with the appropriate faculty if you wish to discuss any programme in detail.
If you would like any further information please contact the Admissions and Course Enquiries team:
Telephone: +44 1752 585858
Email: admissions@plymouth.ac.uk
Admissions policy
You can view or download our admissions policy from the student regulations, policies and procedures page. Prospective students are advised to read the policy before making an application to the University.

Progression routes

International progression routes

The University of Plymouth International College (UPIC) offers foundation, first-year and pre-masters programmes that lead to University of Plymouth degrees. Courses are specially designed for EU and international students who are missing the grades for direct entry to the University, and include full duration visa sponsorship. You can start in January, May or September, benefitting from small class sizes, top-quality tuition and 24/7 student support.
Find out more at plymouth.ac.uk/upic or contact our team at info@upic.plymouth.ac.uk

Career progression

Britain is facing “explosive demand” for data science skills, according to Burning Glass Technologies analysis commissioned by the Royal Society. Demand for data scientists and data engineers tripled over the past five years, rising 231%. That’s much faster than job postings overall in the UK, which rose 36%, according to the report “Dynamics of data science skills.” Data science and analyst jobs are among the most challenging to fill, taking five days longer to find qualified candidates than the market average. Employers are willing to pay premium salaries for professionals with expertise in these areas.

This MSc will give you skills in programming, statistics, machine learning, cleaning and manipulating data, and expertise in data visualisation. Presentations will strengthen your communication skills. As a graduate in data science and business analytics, you will then be in a prime position to pursue a wide variety of prestigious and extremely well-rewarded positions, which include – but are not restricted to – data analyst and data manager, research and business analyst, social media and business strategist, data scientist, and data engineer.

interview
 

Let our graduates inspire you

Sewedo Todowede, Data Scientist at the London School of Hygiene and Tropical Medicine

"My background is in geosciences and I have worked on geophysical projects across Africa and South Asia. I was introduced to the application of machine learning for terrain classification in one of the projects, where due to security concerns, field operations could not be carried out. I was intrigued by the potential and vast application of machine learning and became interested in developing more knowledge and skills.
With so many universities offering similar courses, I was particular about my choice of university. I wanted a hands-on approach to learning, and the MSc Data Science and Business Analytics course at the University of Plymouth met my needs. Apart from the class exercises, I also had an opportunity to intern with one of the researchers in the university on machine learning applications. On completion of my course, I had developed the skills and knowledge of the tools and software that are being used in the Industry.
I currently work as a Data Scientist at the London School of Hygiene and Tropical Medicine, where I manage the WHO Covid-19 social measures dataset and develop machine learning models to automate the analysis of the dataset."
Sewedo Todowede

From psychology to data science: Cathryn Milligan

"I studied psychology as an undergraduate degree because I’ve always been fascinated by human behaviour. I think it brings together science and people in a way that is both interesting and essential for our understanding of how society operates. I then progressed straight onto my conversion course.
I chose to convert my psychology degree into a masters in data science and business analytics because I wanted to enhance my employability. I did a lot of research and discovered that data science is a growing area. I also have previous experience as a research assistant and I really enjoy analysing data and understanding the impact that it can have. Taking on this conversion coursehas allowed me to improve my knowledge and skills in this area and has also taught me how to use a variety of different analytical software."
Cathryn Milligan
Chris Giannakopoulos, Full-Stack-Software Developer for SUVO Technology

Chris Giannakopoulos, Full-Stack-Software Developer for SUVO Technology

"I chose to combine my mathematical and problem solving background with Data Science and Business Analytics at the University of Plymouth. This choice was driven by the rapid growth of data science and how interesting the modules of the MSc were. This MSc gave me the opportunity to boost my employability and launch a career in Software Engineering. Today I am working here in Plymouth as a software developer."
Joe Li, Trainee Data Engineer at Sparta Global

Joe Li, Junior Consultant at Sparta Global

"When I graduated, the most natural path of progression for me was to learn more about how we can analyse data to uncover stories that it may tell. That path was starting my master's degree. I learned many facets about this field that I would have never known before especially delving into programming languages. I gained a far greater understanding of the techniques and tools used in the industry, for example machine learning, which gave me an advantage when it came to employability."

Using artificial intelligence to benefit humankind: Rafi Achmad Rasyidi

“Since graduating, I have started my own business in the analytics industry so I can use tools to help others find employment. The knowledge I gained studying at Plymouth has given me the foundation I required in software development, analytics and business.”
After graduating from MSc in Data Science and Business Analytics, Rafi has a passion to develop artificially intelligence to make processes more efficient for humankind.
Rafi Achmad Rasyidi, with family, at their graduation.

An international student’s view

Hear Moon Mazumdar, who graduated in 2018 and now works in Yorkshire as a developer for BT, describe her experience with the course and what it was like to study in Plymouth.

Pushing my curiosity in data science further

Sharique Ahmad travelled from India to Plymouth to pursue MSc Data Science and Business Analytics.
I decided to study with the University’s School of Engineering, Computing and Mathematics because of the way the course was structured. It was a perfect blend of business, computing and mathematics and this is what I was looking for.
Sharique Ahmad MSc Data Science and Business Analytics student
Big data students in computer lab with Luciana Dalla Valle

Hands-on experience

You have available a variety of computing laboratories where you can master state of the art software including data visualisation, data manipulation, databases and computer programming. You can also access data from social media for topics such as sentiment analysis. Students also have a wide variety of options in economics, finance, marketing and business.
Software used includes SQL, Python and R Studio.
Closeup of the High Performance Computing (HPC) resource

Lovelace System: high performance computing facility

Supercomputers allow us to obtain dramatic scientific insight and competitive advantage in existing problems and let us attack problems that were previously impossible such as the vast amounts of data available from social media.
Mathematics and statistics facilities

Research

The multi-disciplinary nature of MSc Data Science and Business Analytics will enable you to engage actively with our world-leading research institutes. You will engage with prominent academics with an international reputation for research and teaching and with strong international and national research links. We pride ourselves on strong industrial collaborations that turn research results into business, technology and social innovation.

Babbage Building: where engineering meets design

“The building provides a state-of-the-art setting to inspire the engineers and designers of tomorrow, making it the ultimate place to bring together students, academics and industry in an environment that not only benefits them but also society as a whole.” – Professor Deborah Greaves OBE
Situated on the western edge of our city centre campus, the landmark new facility is home to the School of Engineering, Computing and Mathematics
and offers additional space for the School of Art, Design and Architecture .
Exterior of Babbage Building

Meet some of your lecturers

Meet our school technical staff

Our technical staff are integral to the delivery of all our programmes and bring a diverse range of expertise and skills to support students in laboratories and workshops.
Athena SWAN Silver Award logo

Athena Swan Silver

The School of Engineering, Computing and Mathematics was awarded an Athena Swan Silver award in September 2024 which demonstrates our ongoing commitment to advancing gender equality and success for all.

Considering conversion?

We offer a number of postgraduate programmes that allow you to pursue a career or gain additional skills and knowledge that your undergraduate course did not prepare you for.
MSc Data Science and Business Analytics is one of our conversion programmes, discover how you could change the direction of your career.
Student enjoying the Douglas Gordon Exhibition.