Data science

Data Science in Business

MSc

Programme details

  • Next start date: Sep 2023
  • 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.

This course is also accredited by the Chartered Management Institute (CMI) and, upon completion, you’ll receive a Level 7 Diploma in Strategic Management and Leadership Practice alongside your degree.

Download Programme Specification

How to apply

Applying to study at Regent's University London is quick and easy. We have put together some helpful information to guide you through the process. We accept direct applications and there is no application fee.

Not received your results yet?

That's fine, you can still apply even without your exam results. We can issue a conditional offer without your results. You just need be clear in your application which qualifications you are currently studying for.

There's still time to submit an application. Get in touch, we'd love to hear from you.

Step 1: Apply

You can apply in the following ways:

If you have not uploaded the relevant supporting documents during the online application process, you should ensure that we have the below supporting documents as soon as you have completed your application. These can be sent to the Regent’s Admissions Department via email to [email protected].

  • Copies of academic transcripts and certificates from all university studies (i.e. undergraduate degree)
  • One letter of academic recommendation
  • A copy of your CV/resumé showing your work experience, if applicable.
  • A 1,000 word personal statement outlining the reasons for applying to your chosen programme. This should demonstrate an understanding of a current issue relevant to the subject, how you feel you will benefit from the programme of study, what contributions you will make to the University and how this will help your future career aspirations.
  • A copy of your passport photograph (ID) page
  • If you are not a native English speaker, proof of your English proficiency

For some of our programmes, the selection process may include an interview. Interviews can take the form of a one-to-one interview or group interview. These are generally conducted on campus but may be conducted by telephone or as a Skype call. Arrangements of these are made between the Admissions Department and the applicant.

Step 2: Receive a response to your application

You can expect to receive a decision on your application within 10 working days of receipt of your completed application and supporting documents.

We will assess whether you meet our entry requirements and will notify you of the decision via email.

Step 3: Accepting your offer

If you wish to accept the offer, please pay the advance tuition fee deposit (non-refundable) to confirm your place. 

Please see here for information on how to pay.

Step 4: After you have accepted your place

Closer to the start of the term the Admissions Team will send information regarding the registration process. This will include information on completing your online enrolment prior to your arrival as well as a checklist of documents you will need to bring with you to fully register onto the programme.

Information for international students

If you are an overseas student requiring visa sponsorship to study in the UK, our team will be in touch with information on applying for your student visa and the documents you will need. More information can be found on our visas and immigration page.

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 fees

September 2023 entry: £23,000 for the academic year (read more)

Non-refundable advance deposit

Home/EU students: £1,000
Non-EU students: £4,000

What do fees include?

Fees cover the cost of all tuition and access to the University’s IT infrastructure and library learning resources. 

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 (such as Summer programmes) that you choose to participate in outside of the tuition offered as part of the programme.

The library hold a limited number of copies of core text books and where possible in e-format. You will be encouraged to purchase your own text books and will need to budget approximately £80-£100 for the year, depending on your programme of study.

When are fees paid?

Fees are payable in the following instalments:

  • An initial non-refundable advance deposit paid when you accept your offer of a place
  • The advance deposit is allocated against the first term’s fees
  • Tuition fees (including fees for subsequent terms) are due two weeks in advance of classes commencing

Additional fee charges

  • The programme fee outlined is for the full Masters programme including the dissertation element
  • Should there be a requirement to retake modules during an additional term of study or during the dissertation term,  there will be an additional charge per module retaken at the rate applicable to that period of study
  • The module charge will be calculated on a credit basis for each module, in line with the overall credit weighting of the programme  
  • Fees for subsequent years of study are subject to fee inflation
  • The University aims to keep annual fee increases in line with the University’s cost inflation. The expectation is that this will be no greater than UK consumer price inflation (CPI) plus 3%. There are occasionally variations to this dictated by the costs of running specific programmes or facilities required for our programmes. The University reserves the right to alter fee levels.

Teaching and assessment

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.

Contact hours – Term one: 15 hours per week, term two: 13 hours per week, term three: one hour per week while completing your consultation project or dissertation.

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.

Entry requirements

Academic requirements

A Regent’s education provides you with a high level of personal attention, and this begins from the moment you apply to study with us. We want to understand who you are and what your skills and interests may be – we are interested in your potential, as well as your prior achievements. We review each application comprehensively and on its individual merit, considering all of your skills, interests and attributes.

Minimum entry requirements for Level 7 students

One of the following qualifications:

  • Minimum second class UK undergraduate degree
  • Equivalent international qualifications as deemed acceptable by the University
  • Exceptional entry will be assessed on case by case basis by academic referral only based on:
    - An undergraduate degree lower than 2:2 plus one year of relevant work experience
    - No undergraduate degree but three years of relevant work experience

We also welcome applications from candidates who do not meet the essential entry criteria outlined above. In order to be accepted for exceptional entry, you must:

  • Hold a minimum of two years’ relevant work experience
  • Provide a 1,000-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

English Language requirements 

We require proof of English Proficiency. For example, we ask for:

Qualification Subject Grade
GSCE* English C (4)
PTE Academic  

Overall score of 67, with 59 or above in each individual 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 all 4 component parts
UG degree English-speaking country (as defined by UKVI) Second class

*qualification satisfies the English language requirements of the UK Immigration and Visas (UKVI) for non- UK/Irish nationals.

This list is not exhaustive, we will review the English qualifications you have as part of your application and be in contact if we require anything further.

For applicants who wish to improve their English language proficiency, please see our English language courses.

Regent's English Proficiency Test (REPT)

We provide an online English diagnostic test known as the Regent’s English Proficiency Test (REPT). This test must be booked in advance. To find out more information and to book a test, please visit the REPT page. The REPT test is currently free of charge.

Careers

Throughout the year, you'll define and develop your career with dedicated one-to-one support from our Careers, Enterprise & Industry team. They'll help to organise industry placements and build life-long connections.

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

Professional development

This course is also accredited by the Chartered Management Institute (CMI) and, upon completion, you’ll receive a Level 7 Diploma in Strategic Management and Leadership Practice alongside your degree, with access to: 

  • Mentorship from a member of the CMI 
  • Activities accredited for Continuing Professional Development
  • A variety of CMI events with networking opportunities
  • Consultations with specialist advisers to develop your career 
  • A vast library of the latest research and thinking

This can fast-track your career development – able to quickly become a Chartered Manager (CMgr).

Chartered Management Institute

Structure

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

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 quote

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 quote

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.