Taught course

Business Analytics

Institution
Birkbeck, University of London · Birkbeck Business School
Qualifications
MSc

Entry requirements

Our standard postgraduate entry requirement is a second-class honours degree (2:2 or above) from a UK university, or an equivalent international qualification.

This degree is designed for graduates who are new to business analytics. The course is heavily quantitative in nature therefore some prior experience in quantitative skills would be beneficial. For those applicants without prior experience in statistics, a short introductory statistics course will be provided.

Applications are reviewed on their individual merits and your professional qualifications and/or relevant work experience will be taken into consideration positively. We actively support and encourage applications from mature learners.

Months of entry

October

Course content

Our MSc Business Analytics is designed to enhance your skills in data analysis and evidence-based decision-making. It is ideal if you are looking to develop your knowledge and technical skills in an area of high demand by all types of organisations.

Why choose this course?

  • This course will enable you to understand and contextualise big data and business analytics.
  • You will gain knowledge so you can understand and critically apply analytical techniques underpinning business analytics.
  • You will learn how to critically apply a range of analytical techniques in business functions and propose tactically viable recommendations based on the analysis.
  • The course will give you the chance to practise effectively communicating the results and outcomes of analysis, including writing reports and giving coherent and professional presentations.
What you will learn

This course provides a blend of technical, quantitative modules in data analytics alongside more applied business-focused modules that will develop your ability to make data-driven decisions within a business and organisational setting.

You will develop the skills to analyse and interpret data to generate insights and intelligence, apply forecasting methods to model scenarios that inform organisational decision-making and solve complex business problems, and communicate technical information to different audiences.

How you will learn

You will be taught using a variety of means including pre-recorded lectures, seminars, online discussions, Moodle discussion forums, self-directed study, reading, activities in the computer laboratories and one-to-one discussions with tutors (in particular during dissertation supervision meetings).

You will also take part in practical sessions on data analytics, simulation and other statistical data analysis exercises using available datasets, web analytics services and established analytical tools to enhance your knowledge, skills and understanding in business analytical techniques.

Highlights
  • Birkbeck is an internationally recognised centre of excellence in teaching, research and consultancy in the broad field of management.
  • Our academic staff are active researchers as well as enthusiastic teachers, and regularly publish cutting-edge articles in the world's leading journals. We have particular research strengths in international business and strategy, the management of innovation and entrepreneurship, human resource management, corporate governance, sports management, and marketing, as well as financial management and accounting.
  • We engage in significant collaborative research and have excellent contacts with many public and private sector organisations, professional bodies and researchers at other academic institutions.
  • Birkbeck students are drawn from a diverse range in terms of age and academic, social and cultural backgrounds. This creates a stimulating and supportive learning environment.
  • Birkbeck is based in Bloomsbury in central London, which is a centre for international business.
  • You will have access to Moodle, our online learning resource where all information and materials relating to your course of study and modules are available, as well as the Birkbeck Library with its wealth of digital resources.
Careers and employability

On graduating, you'll have an array of important transferable skills, including:

  • strategic thinking
  • effective communication
  • the ability to apply numeracy and quantitative skills, including the use of models to answer organisational questions
  • qualitative research skills
  • the ability to recognise ethical dilemmas in analytical situations, and to apply ethical, stakeholder and organisational values to situations and choices.

This Master's degree will prepare you for analytics roles, such as business analyst, insight analyst or data analyst in a business or management setting within large as well as small, start-up organisations. If you are interested in further study it will also provide you with a strong foundation for PhD research in this area.

We offer a comprehensive careers service - Careers and Enterprise - your career partner during your time at Birkbeck and beyond. At every stage of your career journey, we empower you to take ownership of your future, helping you to make the connection between your experience, education and future ambitions.

Information for international students

If English is not your first language or you have not previously studied in English, our usual requirement is the equivalent of an International English Language Testing System (IELTS Academic Test) score of 6.5, with not less than 6.0 in each of the sub-tests.

If you don't meet the minimum IELTS requirement, we offer pre-sessional English courses and foundation programmes to help you improve your English language skills and get your place at Birkbeck.

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification
    part time
    24 months
    • Campus-based learningis available for this qualification

Course contact details

Name
Student Advice Service
Email
studentadvice@bbk.ac.uk
Phone
+44 (0)20 3907 0700