MSc Data Science (Business and Management) / Course details

Year of entry: 2022

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Course description

The range of pathways reflects the interdisciplinary nature of the course and we welcome applications from students with backgrounds in a range of disciplines, including:

  • business and management;
  • health science;
  • social sciences;
  • geography;
  • planning;
  • computer science;
  • mathematics.

We provide training in core data science skills, embedded in a disciplinary context provided by the pathway, you will develop:

  • computational skills;
  • data analytical skills;
  • data stewardship skills and knowledge;
  • project design skills.

Aims

This innovative MSc in Data Science course is an opportunity for graduates from a broad range of disciplines to develop data science skills.

Our goal is to help you develop into an agile, skilled data scientist, adept at working in a variety of settings and be able to meet the challenges of interdisciplinary team work.

Course unit details

Through a set of core units, you will develop a set of key data science skills.

The core units are:

  • Machine Learning and Statistics (both semesters);
  • Understanding Databases;
  • Understanding Data and their Environment;
  • Applications in Data Science.

Course unit list

The course unit details given below are subject to change, and are the latest example of the curriculum available on this course of study.

TitleCodeCredit ratingMandatory/optional
Statistics and Machine Learning 1: Statistical Foundations DATA70121 15 Mandatory
Statistics & Machine Learning 2: AI, Complex Data, Computationally Intensive Statistics DATA70132 15 Mandatory
Understanding Databases DATA70141 15 Mandatory
Applying Data Science DATA70202 15 Mandatory
Understanding Data and their Environment DATA71011 15 Mandatory
Dissertation DATA72000 60 Mandatory
Risk, Performance and Decision Analysis BMAN60092 15 Optional
Mathematical Programming and Optimisation BMAN60101 15 Optional
Global Operations Management BMAN70081 15 Optional
Strategic Supply Chain Management BMAN70111 15 Optional
Global Supply Chain Management: Theories and Practice BMAN70292 15 Optional
Strategic Project Organising BMAN70391 15 Optional
Knowledge Management and Digital Strategy BMAN71652 15 Optional
Decision Behaviour, Analysis and Support BMAN73271 15 Optional
Supply Chain Logistics Management BMAN73672 15 Optional
Sustainable Supply Chain Management BMAN73692 15 Optional
Programming in Python for Business Analytics BMAN73701 15 Optional
Simulation & Risk Analysis BMAN73942 15 Optional
Financial Data Analytics & AI in Finance BMAN74222 15 Optional
Developing Enterprising Individuals MCEL60142 15 Optional
Displaying 10 of 20 course units

Disability support

Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: dass@manchester.ac.uk