data science

Data Science in Business

MSc

Apply now – no fee
Enquire now Download brochure
  • Next start date: Sep 2026
  • Future start date: Sep 2027
  • Study: Full-time
  • Duration: 1 year
  • Fee: See fees tab

This course will soon be re-validated. Although the focus will remain the same, content and modules might change for the September 2026 intake. From January 2027, this course will be replaced by MSc Data Science for Business and Innovation for new intakes.

Overview

Discover how to convert data into game-changing business solutions

The influence of machine learning and big data on business decision-making is greater than ever. Organisations are generating and capturing vast amounts of information from touchpoints with customers, supply chains and international businesses – so professionals who can convert that data into actionable insights are in high demand. At Regent’s, you’ll learn how to become one of them.

You'll experience

  • Top-level networking: connect with senior businesspeople and data scientists
  • Hands-on learning: work on projects designed to reflect real-world briefs
  • An entrepreneurial ecosystem: join a business-focused community
  • A prime location: on the doorstep of London’s business and tech hubs
  • Luxury Lab: the chance to connect and work directly with luxury brands

Why Regent’s?

Discover more about what makes Regent's special.

Business students in class

What to expect

We live in a world driven by data, AI and machine learning. During your time at Regent's, you’ll learn and apply technical data science skills in business contexts.
You’ll learn how to code, programme and process large, complex data sets with professional algorithms – mastering data analysis, trend identification, problem solving and effective communication.

Using analytical tools like Python, R, Excel VBA and Power BI, you’ll also develop the skills to interpret, conceptualise and convert that data into valuable consumer insights – identifying market trends and patterns, and using them to drive business strategy and decision-making. From this, you’ll devise powerful solutions that can increase sales, enhance customer experiences and develop new products that meet consumer needs.

Getting you business-ready is our priority. You'll join bootcamps and masterclasses to learn to think like a leader and changemaker, and work on live briefs that are commissioned and evaluated by real companies looking for new projects, ideas and talent.

In your final term, you’ll delve into customer and artificial intelligence, taking on either a professional placement, consultancy project or dissertation – enabling you to network with and work alongside big industry players.

You'll graduate with a practical and future-facing education that's data-driven and tech-engaged, alongside the skills to lead teams, manage change and take decisive, informed action.

London-centric learning

From global organisations to new start-ups, studying in London offers opportunities to engage with all aspects of the business and tech arena – gaining valuable work experience and meeting influential contacts. Here, you can:

  • Attend conferences and networking events specific to your specialisms
  • Complete live briefs for London-based companies
  • Visit business and tech hubs around London, like Silicon Roundabout
  • Experience a truly professional-first city environment

A tailored experience

We put you in the driving seat – shaping your education from day one:

  • Your own support officer: receive tailored advice and support when needed
  • Academic guidance: access weekly one-to-one sessions
  • Flexible modules: personalise your course with a choice of elective modules  
  • Additional language classes: prepare for experiences in the UK and internationally

Download course specification.

How to apply

Applying to Regent's is quick and easy. We accept direct applications year-round and there's no application fee. If you haven't received your exam results, you can still apply and we'll issue you with a conditional offer. You just need be clear in your application which qualifications you're currently studying for.

Step 1: Apply

During the application process, you'll have the chance to upload supporting documents, including:

  • A copy of your passport (photograph ID page)
  • Academic transcripts and certificates from all previous studies
  • A 500-700 word personal statement (view guidance)
  • If you're not a native English speaker, proof of your English proficiency

Credit transfer

If you’ve already studied part of your degree elsewhere, you may be able to apply for Recognition of Prior Learning (RPL) and join your new course at an advanced entry point. To apply for RPL, you'll need to state this clearly in your application and provide us with the certificates, transcripts and module descriptions for your previous course.

Step 2: Receive a response

You can expect to receive a decision on your application within 10 working days. We'll assess whether you meet our entry requirements and will notify you of our decision via email. UCAS applicants will also receive official notification via the UCAS system.

For some of our courses, the selection process may include an interview or audition. They can take the form of a one-to-one interview, a group interview or a portfolio review, which may be conducted by telephone or online. Arrangements of these are made between you and the Admissions department.

Step 3: Accept your offer

If you wish to accept your offer, you must pay your (non-refundable) advance tuition fee deposit. This will confirm your place. Here's how.

Step 4: Register 

Closer to the start of term, our Admissions team will send instructions regarding your registration process. This will include information on completing your online enrolment before you arrive, as well as a checklist of documents you'll need to bring with you to campus.

Information for international students

If you're an overseas student, you'll likely require a visa to study in the UK. Here's how to apply.

Scholarships and funding

There are a wide variety of funding and scholarship opportunities to help you finance your studies. For more information, please visit our scholarships and funding page.

What is a Masters in Data Science?

This degree is all about data. We live in a world driven by data where organizations are generating and capturing trillions of bytes of information from touchpoints with their customers, supply chains and business operations. The influence of machine learning and big data on business decision-making is greater than ever. This degree will help you to meet the high demand for business leaders who can convert data into insights that lead to game-changing solutions for consumers.

Is a Masters in Data Science worth it?

Yes, a Masters in Data Science is worth it as it will prepare you for success in whichever direct you choose to go; be it your own business, working with NGOs, social enterprises, international organisations or government agencies.

What can you do with a Data Science degree?

A Masters in Data Science will have the skills and tools in using data to create powerful solutions that increase business sales, enhance customer experiences and develop new products that meet consumer needs. The holder of a Masters in Data Science will combine expertise in business analytics, consumer intelligence and marketing analytics. 

How much does a Data Scientist make?

A starting salary of £40,000 –£60,000.

Fees

Tuition fee: 

  • September 2026 start: £28,750 per year, fixed for the duration of the course
  • September 2027 start: fees are under review; applicants will be notified once confirmed

Non-refundable advance deposit:

September 2026 start:

  • UK students: £1,500
  • Non-UK students: £5,000

Read more about tuition fees.

When do I need to pay?

If you receive an offer for a course, you’ll receive a pro forma invoice. To accept your offer and secure your place, pay your deposit payment as soon as possible.

The remaining portion of your first year’s tuition fees will be due when you enrol. At this time, you’ll receive your invoice for the full year. You can choose to pay for the year in full before the start of your first academic year or in two instalments, spread out across the academic year. The dates of these instalments will be determined by when your course starts.

What do fees include?

Fees cover the cost of all tuition and access to the University’s IT infrastructure and library learning resources. Fees are presented for the first level of study which equates to two terms.

What other costs should I budget for?

You will need to budget additional funds for accommodation and living expenses, travel, and any additional trips, visits, activities or courses that you choose to participate in outside of the tuition offered as part of your course.

The library holds a limited number of copies of core textbooks and where possible in e-format. You will be encouraged to purchase your own textbooks and will need to budget approximately £80-£100 per year, depending on your course.

How you'll learn  

At Regent's, you’ll have the freedom to explore your interests in a supportive, collaborative environment with regular one-to-one contact with academics, hands-on classes, industry experiences and some of the best networking opportunities you can get – helping you develop the skills and confidence you need to succeed. You’ll pair academic knowledge with hands-on experiences – exploring current issues and proposing solutions to real challenges.

You’ll learn through a blend of:

  • Lectures, where you’ll get to grips with business and data science essentials
  • Seminars for delving deeper into topics and working on group assignments
  • Workshops and creative labs, for learning key skills and exploring ideas
  • Business bootcamps and simulations to practice on-the-spot problem solving
  • Masterclasses and guest talks led by top professionals
  • Live briefs and consultancy work for putting theory into practice
  • Industry placements to expand your professional experience
  • Field trips to business hubs around London

Based in London, you'll also have opportunities to meet industry leaders and employers through guest lectures, live briefs, events and field trips.

Contact hours

You’ll have 14 hours per week of timetabled teaching. Outside your classes, you'll work on assignments both independently and collaboratively with classmates. This involves further reading, research and reflection, as well as preparation for workshops and assessments.

Teaching staff 

You'll be taught by a mix of industry experts and research-active academics who have extensive global experience. They’ve published journals, books, news articles and magazine columns, appeared on documentaries and been quoted in outlets from Forbes to the Financial Times. They've also worked with brands including Meta, Microsoft and Coca Cola. Their knowledge and experience ensure classes are always shaped by the latest technologies and trends.

We’re a member of the Chartered Association of Business Schools (CABS), the Association to Advance Collegiate Schools of Business (AACSB), the Business Graduate Association (BGA) and the Association for Project Management (APM) – meaning we’re peer-reviewed and committed to making sure your teaching is of the highest quality.

You'll also regularly meet with a personal tutor on a one-to-one basis, making sure you’re getting the most out of your course. Plus, our impressive calendar of guest lectures will inspire your work and introduce you to potential employers.

Methods of assessment

You’ll be assessed via projects, reports, data collection, presentations and live and simulated briefs. It's important to us that your learning is inclusive, engaging and authentic – that’s why our assessment types are varied, dynamic and built around real-world ways of working.

Disability support

We welcome and support students with a wide range of disabilities and health concerns. Please get in touch as early as possible so we can support you as best we can.

Academic requirements: Level 7

We're interested in your potential, as well as your prior achievements – and we review each application comprehensively on its own merit. You'll need one of the following qualifications:

  • Minimum second class UK undergraduate degree
  • Equivalent international qualifications, as deemed acceptable by Admissions & UK ENIC

Accreditation of Prior Experiential Learning

We also welcome applications from students who don't meet our usual entry requirements. To be accepted for exceptional entry, you must:

  • Have three years of work experience if you don't hold a degree

You'll need to provide us with:

  • Your current CV
  • A headed employment letter detailing your position and length of service
  • A headed reference letter
  • A personal statement outlining your experience and ambitions

This will be assessed on a case-by-case basis, by academic referral only.

For more guidance on international entry requirements, visit our international students page.

English language requirements 

Minimum English proficiency requirement through one of the following qualifications (or equivalent):

QualificationSubjectGrade
GSCE*EnglishC (4)
IB SL or HL*English A4
IB HL*English B5
US HSD (studied in a majority English-speaking country)*Grade 11 and above in EnglishC
IELTS*AcademicOverall score of 6.5, with 5.5 or above in each component
UG degreeFrom English-speaking countries – defined by the UKVISecond class

Please note, we do not accept home/online editions of English language tests.

We also offer our conditional offer holders a free, online diagnostic test known as Password Skills Plus. This must be booked in advance. Discover more.

*Qualification satisfies the English language requirements of the UKVI for non-UK/Irish nationals.

Careers

You'll graduate with the expertise in business analytics, consumer intelligence and marketing needed to succeed in any business type – ready to bring a fresh perspective to an established enterprise, join alumni at prestigious companies, or even launch a venture of your own. You'll also have a suite of transferable skills, giving you the flexibility to choose any career that aligns with your interests.

Our graduates work at organisations ranging from multinational organisations and SMEs to professional bodies and government agencies. They work in roles such as:

  • Business, Marketing, Insights or Data Analyst
  • Management, Data Software or Data Consultant
  • Data Manager, Scientist or Officer
  • Big Data Architect
  • Campaign Manager

Graduate visa

After you've completed your course, you may be eligible to apply for a Graduate visa. This enables you to work, or look for work, in the UK for up to 18 months after you leave Regent's, without the pressure of having to secure a job immediately – applying your skills and advancing your career with valuable experiences and industry connections.

Careers support

Feeling overwhelmed about your career path? Our Careers team is here to provide tailored advice and support every step of the way, as well as lifelong access to invaluable resources. 

  • 24/7 access to online guidance and resources
  • Exclusive internships, networking opportunities and industry events
  • Personalised consultations – from interview and CV prep to business advice
  • Access to Handshake, connecting you with 650k+ global employers

Your course modules

This is a full-time course, comprising three terms of study.

View your academic calendar.

MSc Data Science in Business

Term 1

Module title
Business Analytics Business analytics has become a crucial strategic tool for organisations of all sizes in identifying market trends and patterns and optimising business processes and decision making. This module is designed to develop your business-level understanding of key technologies involved in managing business information needed for decision making. This module will equip you with the ability to interpret, conceptualise and convert data into useful information that improves organisations’ performance. It will include a practical component to develop analytical skills using SAS software, a world leader company in analytics. It is a graphical interface, menu and wizard driven tool that empower users to analyse data and publish results.
Consumer Intelligence You will learn core theories and concepts of consumer behaviour and examine the way digital technology is influencing how consumers behave. Additionally, the module provides an overview of the digital landscape and the role of key technologies such as cloud computing, social media, mobile and analytics to better capture and analyse customer data how analytics techniques can help them to understand not only how customers have behaved in the past but also to make accurate predictions about how consumers will behave in the future, which can then be used to optimise marketing messages, product choices and other elements of the marketing mix.
Data Visualisation and Storytelling In this module, you will learn about the concepts and techniques behind visualising data and storytelling; thus how to tell better stories with data that are meaningful to businesses. You will examine technologies like the internet of things, augmented reality, social virtual reality, and artificial intelligence, as well foresight methodologies. You will become proficient in ethically obtaining, preparing, and visualising data from various sources. The module will provide you with a solid grounding in a selection of Industry standard tools used in the exploration and visualisation of data in all forms, to improve their communication skills with Data Visualization and Storytelling techniques.
Tools for Data Analysis Sophisticated analytics tools are needed to visualize and analyse today's increasing quantities of Big Data. This module will provide you with a general understanding of current tools and applications of data analytics in marketing, finance and management contexts.
You will be introduced to a range of analytical tools and an overview of tools in the field such as (but not limited to): Python, R, Excel/VBA and Power BI Excel functionality. You are not expected to have any familiarity with any of the topics above, as the module will develop an understanding of these from scratch.

Term 2

Module title
Coding You will learn about general programming/coding techniques such as variables, functions and control flow. The module will show you how to work with different types of data structures such as arrays and dictionaries and develop data processing pipelines which allow you to convert raw data into data that you can analyse. You will apply mathematical and statistical procedures to data and learn how to plot graphs of various types. You will also become familiar with an industry standard data science programming environment.
Data Analytics This module is designed to provide you with an in-depth understanding of digital marketing statistical techniques via the use of latest analytics software packages. You will be introduced to the core analytical concepts of “big” data analysis. This module takes you from rudimentary data management techniques to descriptive visualisation to inferential and predictive analytics. You will learn how digital marketers use data to inform decision making, target customers, and analyse consumer behaviours. Successful students will receive joint SAS/Regents Certification in Data Analytics
Machine Learning and AI for Business This module introduces the fundamental concepts, techniques and principles of machine learning (ML) and artificial intelligence (AI) as used in business. It aims to give a broad introduction to the rapidly-developing field of machine learning (Machine Learning is about extracting useful information from large and complex datasets) and Artificial Intelligence. You will learn the theoretical basis of how learning algorithms are derived and when/how they are optimally applied in business situations.

Term 3

Module title
Optional Capstone Module For your capstone module, you have the option of either the Capstone Consultancy Project or the Capstone Dissertation. Please see below for further details.
Professional Placement This module will focus on addressing professional practice skills in data visualisation and storytelling and preparing you as a future leader in your profession. The module includes professional practice hours that you must complete during Term 3. At the end of this module you will have obtained a realistic and comprehensive understanding of the strengths and weaknesses of the scientist-practitioner model in practice and will have an opportunity to discuss and critically reflect upon the knowledge, skills, and abilities associated with the professional evidence-based practice of data visualisation and storytelling.

Term 3 Optional Capstone Modules

Module title
Capstone Consultancy Project In this module you operate in effect as a trainee management consultant for your client, and are expected to undertake research into an issue related to digital marketing and analytics, and to develop conclusions and recommendations that are intended to benefit the client organisation and perhaps, the sector as a whole. The project focuses on the rapid collection and assimilation of data, to gain a detailed understanding of organisations’ needs and their issues. You will be expected to interact with the organisation as if it were a real commercial relationship which will include recording activities and reporting to the client.
Capstone Dissertation You need to demonstrate your ability to critically evaluate research and demonstrate self-direction in identifying and tackling problems of a complex nature. The dissertation gives you the opportunity to demonstrate independent thought and evaluation, yet with the help and under the guidance of a supervisor. You will choose a topic that may be related to your career aspirations and bring together the knowledge and understanding gained through the various modules on the programme to identify a problem, investigate and throw light on their chosen topic. The main aims of this module are to give you the opportunity to demonstrate your abilities to formulate your own research question in your chosen area, to gather and select material to answer your question through critical analysis and evaluation of your material, and to communicate your findings by presenting a coherent argument in an appropriate academic style.

Apply now

MSc Data Science in Business

Maryam Alhubaishi
'I’ve gained a transferable set of skills that I can keep developing as market demands and technology evolves.’ Maryam Alhubaishi, MA Business student.
Antonio Pasqualucci
Regent's is the place to choose for its practical knowledge and concrete links to business – ensuring you're prepared for the world of work when you graduate.’ Antonio Pasqualucci, Business alumnus. Currently Santander Corporate & Investment Banking: Vice-President Business Management and Change.

Other Business & Management courses