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Overview

Business Analytics MSc Who is it for?

Choose the MSc Business Analytics programme to support your career progression if your aim is to generate and capture greater competitiveness in data-driven business. You’ll appreciate our technology-aided learning-by-doing teaching style, academic rigour and authentic experiential learning.

You don’t need previous experience of analytics skills, or the technology enablers needed to deploy them. Instead, you can join our pre-courses which equip you with the minimum knowledge, such as Python and R Programming, before you start your one year MSc Business Analytics Programme.

You’re likely to already have at least an upper second class degree, or the equivalent, in a subject that includes quantitative topics, such as accounting, biology, business administration/studies, computer science, economics, engineering, environmental studies, finance, hospitality management, human resources, information systems/technology, management, marketing, mathematics or psychology.

Why choose this course?

Train in contemporary analytics skills where academic rigour and industry practice are on the forefront of our teaching practice.
Undertake industry sponsored summer projects that should be a priority to all Business Analytics students

Understand how real-life business solutions are powered by analytics from a variety of sectors.

Course objectives

In our Master’s in Business Analytics programme you’ll develop a comprehensive set of contemporary skills and nurture the positive attributes essential to becoming a successful business analyst. You’ll learn the specialist and technical skills, data science, data analytics and technology skills , and soft skills that are important for influencing people and leading organisations.

You’ll benefit from the distinctive experiential learning element of your business analytics MSc. Every student is encouraged to engage with industry sponsored projects which ensures that dissertation projects are matched to your skills and interests, and provide you with hands-on real-life work experience.

Recent students have chosen projects offered by analytics consulting firms, finance and insurance companies and well-known retailers, including Bank of England, Ekimetrics, Fiat Chrysler Automobiles, Government Actuary's Department, Maserati, Rolls-Royce and Vodafone UK.

Teaching staff

Other module leaders include:

Professor Vali Asimit

Professor of Actuarial Analytics

Requirements

Entry Requirements

Entry requirements

A UK upper second class degree or above, or the equivalent from an overseas institution.
Students with a degree that includes quantitative topics are sought and such degrees are: actuarial science, business, computer science, economics, engineering, finance, geography, mathematics, psychology, sociology, statistics or any other quantitative social science.

GMAT

GMAT is not required for application, but may be requested as a condition of offer at the discretion of the Admissions Panel.

English language requirements

If you have been studying in the UK for the last three years it is unlikely that you will have to take an English language test.

If you have studied in the UK at degree level for less than three years (e.g. 3+1, 2+1, 2+2, etc.) you will be required to provide the results of an approved English language test and possibly resit the test to meet our academic entry requirements.

Full list of approved English language tests/qualifications and minimum requirements.

English Requirements

PTEMin 69
IELTSMin 7
TOEFLMin 100

English Program Requirements

If you have been studying in the UK for the last three years it is unlikely that you will have to take an English language test.

If you have studied in the UK at degree level for less than three years (e.g. 3+1, 2+1, 2+2, etc.) you will be required to provide the results of an approved English language test and possibly resit the test to meet our academic entry requirements.

Full list of approved English language tests/qualifications and minimum requirements.

Career

Careers

With your business analytics master’s you’re ready to help many types of organisation enhance their practices and head for success.

Our graduates work in a variety of roles, but mainly as business analysts or data analysts. Some work for consultancies and professional services businesses, and others for financial firms, banks and technology companies.

Our careers team support you right from the start, with careers induction and a careers fair before you start your studies, workshops to prepare you for the application process and employer events, as well as advice on choosing your career path.

During the year you will get the opportunity to attend employer events such as recruitment sessions designed to make you more aware of the job opportunities and career pathways open to you. There will also be industry information sessions to help you build and maintain your commercial awareness, a key skill which employers are looking for in their candidates. Examples of the employers who are set to meet the Business Analytics students this year are Accenture, British Airways, Ekimetrics and EY.

Class of 2022

Recent graduates have secured positions such as:

Alumni stories

Hear from our alumni. Discover the real experiences of learning at Bayes and how Bayes helped to boost our graduates' careers.

Read all stories

Fee Information

Tuition Fee

43,983 / year