Data Science in Business Regent's University London

Overview

The MSc in Data Science in Business at Regent's University London is designed to meet the increasing demand for skilled professionals who can leverage data to drive business innovation. In today’s data-driven world, organisations are inundated with vast amounts of information from various sources, including customer interactions and supply chain operations. This programme aims to equip students with the expertise needed to analyse this data effectively, thereby enabling businesses to make informed decisions that enhance their competitive edge.

Why Data Science in Business at Regent's University London?

Regent's University London is renowned for its commitment to providing a practical education that bridges the gap between academic theory and real-world application. The university's strong industry connections and vibrant London location create a unique environment for students to engage with leading businesses and innovators. With a focus on experiential learning, students benefit from hands-on projects and networking opportunities that prepare them for successful careers in data science.

Tuition Fee Breakdown

The tuition fees for the MSc in Data Science in Business are set at £26,000 per year for both domestic and international students. Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

This full-time programme consists of three terms, each offering a comprehensive curriculum designed to develop critical skills in data analysis and business strategy:

• Term 1:
  • Business Analytics
  • Consumer Intelligence
  • Data Visualisation and Storytelling
  • Tools for Data Analysis
• Term 2:
  • Coding
  • Data Analytics
  • Machine Learning and AI for Business
• Term 3:
  • Professional Placement
  • Optional Capstone Module (Capstone Consultancy Project or Capstone Dissertation)

Careers with Data Science in Business

Graduates of this programme can pursue various career paths, including:

• Business, Marketing, or Insights Analyst
• Management Consultant
• Data Manager or Scientist
• Consumer and Market Knowledge Manager
• Chief Data Officer
• Big Data Architect
• Customer Insights/Data Analyst
• Campaign Manager
• Data Software Consultant

These roles are applicable across diverse sectors such as multinational corporations, small and medium enterprises, and government agencies, ensuring that graduates are well-prepared to enter the workforce.