Data science

Data Science in Business

MSc

Programme details

  • Next start date: Sep 2021
  • Study: Full-time
  • Duration: 1 year
  • Fee: £22,000

Overview

We live in a world driven by data. Organisations 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. There’s a high demand for business leaders who can convert data into insights that lead to game-changing solutions for consumers.

This course will prepare you to understand and use data to drive contemporary business strategy and decision-making and learn to use data-analytics to gain valuable insights into consumer behaviour.

You’ll learn 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. Combining expertise in business analytics, consumer intelligence, and marketing analytics, you will be prepared for success in your own business or working with NGOs, social enterprise, international business or government agencies.

This course is subject to validation.

Structure

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

Term 1

Module Title Overview
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 Overview
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 Overview
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 Overview
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.

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 further 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

Annual tuition fee for September 2021 entrants: £22,000

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
  • All fee increases are subject to approval of the Trustee Board thus ensuring that affordability for our students remains a primary concern in any decisions regarding fee increases

Teaching and assessment

Due to the COVID-19 pandemic, teaching and assessment will take place online for the Spring 2021 Term. See Returning to Regent's and our FAQs for more information.

Modes of teaching

  • Online and offline lectures
  • Seminars
  • Lab sessions
  • Challenge-based tasks
  • Self-directed online exercises
  • Tutorial work
  • Assessment preparation and feedback (formative work)
  • Group research and report work
  • Case preparation
  • Assessment preparation and feedback (formative work)
  • Technology supported work (blogs, etc)
  • Guest presentations
  • Accompanied/independent industry visits

Students are expected to participate actively in classroom/webinar discussions and submit assessments on time. Independent research and additional reading are expected.

Contact hours

Term Contact hours
Term 1 15 hours per week
Term 2 13 hours per week
Term 3 1 hour per week while completing your consultation project or dissertation

Teaching staff

The course is managed by a Director (Content), working in close collaboration with the teaching team. All academic staff are either leaders or co-leaders for the modules they teach. Alongside teaching, they are also involved in the supervision of Capstone projects.

All levels of academic seniority teach on the programme. Academic staff are, in general, educated to master’s or doctoral level and/or are Industry professionals. At Regent’s, we promote and support research, enterprise and scholarship that underpin our academic programmes and add value to our student’s learning experience. We believe it is essential to enhance the vitality of our academic programmes and refresh them by conducting research that is applied, while at the same time producing cutting-edge knowledge and engaging in world-leading scholarship that informs our teaching.

Academic staff have a high-level of academic experience, as well as familiarity with the industry. They have worked in a range of business and data science fields, in a variety of roles, and have published in a range of academic journals, authored books and industry publications.

Members of the team are also industry consultants, alongside being actively engaged in academic publishing. In addition, most of our staff hold a Fellowship of Higher Education Academy (HEA) ranging from Fellow to Principal Fellow. The University encourages teaching staff to undertake the Postgraduate Certificate in Higher Education.

Methods of assessment

Students will be exposed to a variety of different assessment types. These will include:

  • Reports
  • Presentations
  • Posters
  • Review and Analysis of Tools
  • Project Development
  • Portfolio Creation
  • Industry Practice-based Assessment
  • Live Consultancy Projects

Disability Support

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

Our dedicated Disability Officer is here to support you. We ask that you speak with Student Registry and our Disability Officer as early as you can 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:

  • IELTS: Overall score of 6.5, with 5.5 or above in all 4 component parts
  • PTE Academic: Overall score of 58, with 51 or above in each individual component
  • TOEFL IBT: Overall score 80 (We do not accept TOEFL from applicants requiring a Tier 4 visa, as this qualification is no longer accepted by the UK Visas and Immigration Department (UKVI)
  • A-level/GCSE/IGCSE English: grade C / 4 or above (for IGCSE certificates, please provide the Supplementary Certifying Statement with the breakdown of component grades)
  • International Baccalaureate: Grade 5 in A1 or A2 English at Higher or Standard Level

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

Graduates of Data Science in Business could 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

Apply now

MSc Data Science in Business