MSC Business Analytics

Campus Masters Full Time

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Delivery

Campus

Study mode

Full Time

Level

Masters

Introduction

MSC Business Analytics is a Masters program taught at University of Manchester, UK. The program is offered in campus-based modes with full-time (1 year) options.

The University of Manchester’s MSc Business Analytics and Artificial Intelligence prepares you to lead data-driven decision-making in organisations using advanced analytics and AI. You study data analytics, decision sciences, applied operational research and statistics, and you develop advanced expertise in machine learning, data analytics and strategic optimisation. The course also focuses on translating analytical insight into strategic action for organisational performance and risk management.

This is a full-time, in-person programme delivered over 1 year. You apply your skills through substantial project work and use applied AI methods and industry-standard analytical tools. The programme is reviewed and relaunched with an enhanced focus on AI for Business, and you can tailor your studies through optional units aligned to your career ambitions. Learning is supported by research-active experts connected to the Centre for AI and Decision Sciences.

Admission Requirements

The minimum requirements for admission in MSC Business Analytics at University of Manchester for all applicants (Domestic or International) are:

program specific academic requirment set by University of Manchester.
English Language OR any other language requirments as set by University of Manchester as pre-requiste for admission in MSC Business Analytics.

Note: Please check the university website in the link below.

We require a First or Upper Second class honours degree (2:1, with 60% average) from a UK university or the overseas equivalent. Your degree background must be in a quantitative subject such as mathematics, statistics, physics, engineering, computing, management science or economics, and we require you to demonstrate study of quantitative modules (e.g. maths, statistics, calculus) consistently throughout each year of your studies and achieve good grades. Study of programming is desirable, but mathematical-related modules are essential.

First or Upper Second class honours degree (2:1, with 60% average)
Degree background in a quantitative subject such as mathematics, statistics, physics, engineering, computing, management science or economics
Demonstrate study of quantitative modules (e.g. maths, statistics, calculus) consistently throughout each year of your studies and achieve good grades
Study of programming is desirable; mathematical-related modules are essential
Statement of purpose: Tell us why you are interested, list other quantitative courses or qualifications, describe what makes you an outstanding applicant and your potential to contribute to all aspects of the course