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Data Science in Business

MSc

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  • Next start date: Sep 2024
  • Study: Full-time
  • Duration: 1 year

Overview

The influence of machine learning and big data on business decision-making is greater than ever. Here, you’ll discover how to convert data into game-changing solutions.

We live in a world driven by data, AI and machine learning. Organisations are generating and capturing trillions of bytes of information from touchpoints with customers, supply chains and businesses all over the world, meaning there’s a high demand for those able to convert that data into insights – enabling companies to offer innovative solutions for their consumers.  

Business classroom at Regent's

During your time at Regent's, you’ll learn how to code, programme and control large, complex data sets with professional algorithms – mastering the art of 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 create powerful solutions that can increase sales, enhance customer experiences and develop new products that meet consumer needs. 

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

Graduate business-ready

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 industry contacts.

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.

You'll graduate with a practical and future-facing education that's data-driven and tech engaged – skilled at leading others and managing change.

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: 

  • £23,000 for the academic year starting in September 2023.
  • £26,000 for the academic year starting in September 2024.

Non-refundable advance deposit:

UK students: £1,000
International students: £4,000

Read more about tuition fees.

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 and nurturing environment with interactive classes, regular one-to-one contact with tutors, specialist facilities, industry opportunities and tailored careers advice – ensuring you develop the skills, experience and confidence you need to succeed.

We centre our teaching around your individual goals, identifying support you need to thrive. You'll be part of a collaborative environment, that brings all the nuances of the international business world to life in the classroom: facilitating entrepreneurship and teamwork as you explore current issues and propose solutions to real problems.

You’ll pair deep industry knowledge with hands-on experiences, taking part in a blend of learning formats to give your studies context:

  • Seminars and lectures
  • Practical workshops and creative labs
  • Industry masterclasses 
  • Business bootcamps and simulations 
  • Live briefs and consultancy work 
  • Industry placements 

You’ll create strategies and business plans, analyse data, develop multimedia assets, work together on pitches and product launches – with access to specialist technological equipment: 

  • Thomson Reuters Eikon Terminals 
  • Bloomberg L.P Terminals 
  • Datastream including Worldscope databases 
  • A dedicated trading simulation room

Based in London, you'll also have opportunities to meet employers through guest lectures, live briefs, field trips and industry visits – giving you insights into the world of business and enabling you to put theory into practice.

Teaching staff 

You'll be taught by a variety of business leaders and research-active academics, who regularly have work published in journals and collaborate with institutions, such as BBC News. Their knowledge and experience ensure your classes are shaped by the most current industry practices.

You'll also be allocated a personal tutor, who'll meet you on a one-to-one basis at various stages throughout the year to provide you with guidance and advice to support your personal and professional development.

We're really proud of the global nature of our business courses, and our tutors also reflect this ethos – coming from a wide variety of countries and cultures across the world. In every way, you'll feel part of a global family.

Independent learning

Throughout the course, you'll be expected to undertake extra reading, research, revision and reflection, as well as preparing work for workshops, and working collaboratively with other students in preparation for assessment.

Method of assessment

Your skills and knowledge will be assessed via a wide range of task-based projects, reports, presentations and live and simulated briefs – as well as essays, case study analysis and data collection. It's important to us that your learning and assessment is:

  • Inclusive – fostering a student-focused approach
  • Engaging – encouraging interaction and participation
  • Authentic – based on real business challenges

Disability support

We welcome and support students with a wide range of disabilities and health concerns, including learning difficulties, visual and hearing impairments, mental health difficulties, autism conditions, mobility difficulties and temporary or chronic health conditions. 

Our Student Support & Welfare team is here to support you. We ask that you speak with us as early as possible to enable us to support you. Find out more about our disability support and contact us.

Academic requirements

We're interested in your potential, as well as your prior achievements – and review each application comprehensively on its own merit.

Minimum entry requirements for Level 7 – you'll need one of the following qualifications:

  • Minimum second class UK undergraduate degree
  • Equivalent international qualifications, as deemed acceptable by Regent's

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

  • Have one year of work experience (if you hold a degree lower than a 2:2)
  • Have three years of work experience (if you don't hold a degree)
  • Provide a 500-700 word personal statement outlining your reasons for applying, and how your previous experience is of relevance to the programme you are applying for
  • Be prepared to attend an interview with the Postgraduate Admissions Panel
  • Provide evidence of your English language proficiency

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

English language requirements 

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

Qualification Subject Grade
GSCE* English C (4)
PTE Academic Academic Overall score of 67, with 59 or above in each component
IB SL or HL* English A 4
IB HL* English B 5
US HSD (studied in a majority English-speaking country)* Cumulative GPA 2.5
IELTS* Academic Overall score of 6.5, with 5.5 or above in each component
UG degree From English-speaking countries – defined by the UKVI Second class

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

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

We also offer conditional students a free, online diagnostic test known as the Regent’s English Proficiency Test (REPT). This must be booked in advance. Discover more.

Careers

Combine your expertise in business analytics, consumer intelligence and marketing to pursue the following careers:

  • Business, Marketing, or Insights Analyst
  • Management Consultant
  • Data Managers / Scientist
  • Data Consultants
  • Consumer and Market Knowledge Managers
  • Chief Data Officers
  • Big Data Architects
  • Customer Insights/Data Analyst
  • Campaign Manager
  • Data Software Consultant

These could be in any of the following:

  • Multinational organisations
  • SMEs
  • Professional Bodies/Associations
  • Government agencies/departments

You'll graduate with the transferable skills needed to choose any career that aligns with your interests.

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 two years 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

Don't worry if you feel overwhelmed – our Careers, Enterprise and Industry team are here to provide personalised advice and access to resources for life!

  • 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

Structure

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

View the 2024-25 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.

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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.

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