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MSc Management with Data Analytics

Program Code : NA | Institute : BPP University | Campus : London East (Portsoken), Manchester
BPP University
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  • Program LevelMaster Degree
  • Duration12 months
  • Program Fee £ 18100.00 GBP |
  • Open Intakes Sep 2026
  • Post Graduation Work PermitYes
  • Spouse OWP During Study Not Eligible
  • Co-op AvailabilityNo
  • Scholarship£ 2000.00 GBP

Institute Features


  • Institute TypePrivate
  • UKPRN Number 10031982
  • Campus Address : 142 Uxbridge Road, London, W12 8AA, United Kingdom

Program Description

The MSc Management with Data Analytics at BPP University is a forward-thinking postgraduate program designed to bridge the gap between business leadership and technical data intelligence. In an era where data is often called "the new oil," this course prepares you to not just manage teams, but to drive organizational strategy using complex data insights.

This program is ideal for graduates or professionals who want a management career but recognize that modern decision-making relies on Big Data, visualization, and predictive modeling. It moves beyond standard spreadsheets, teaching you how to translate raw data into actionable business strategies.

Key features of the program include:

  • CMI Accreditation: Like the core management course, this program is accredited by the Chartered Management Institute (CMI). Upon successful completion, you may also earn a CMI Diploma in Management and Leadership.

  • Specialized Analytics Modules: You will study focused topics such as "Data Visualisation and Interpretation" and "Big Data and Business Intelligence," learning to use industry-standard tools (like Power BI or Tableau concepts) to present data to stakeholders.

  • Evidence-Based Leadership: The curriculum emphasizes "Data-Driven Decisions," ensuring you can lead with confidence by backing up your strategies with solid statistical evidence rather than just intuition.

  • Practical Business Project: Your final project allows you to tackle a real-world business problem with a heavy focus on data analysis, acting as a consultant to provide data-backed recommendations.

  • Digital First: The course integrates digital literacy across all modules, preparing you for the "Industry 4.0" workplace where automation and AI are standard.

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Admission Requirements

To apply for the this program at BPP University as an Indian student, you need:

  • At least 55% in Honours degree in a related subject (e.g. STEM – Science, Technology, Economics, Math's) from a UK or recognized international university.
  • IELTS score of 6.5 overall, with no band below 6.0.
  • Plus, an interview, health check, and police clearance for background.

Except : Andhra Pradesh, Gujarat, Haryana, Punjab, Uttar Pradesh, Uttarakhand and Telangana (BPP University will not accept any students if they have address of the above mentioned states in their Passport)

Overall Band 6.5
Reading 6.0
Writing 6.0
Speaking 6.0
Listening 6.0

Overall Score 70.0
Reading 64.0
Writing 64.0
Speaking 64.0
Listening 64.0

Overall Score 90.0
Reading 18.0
Writing 17.0
Speaking 20.0
Listening 17.0

Overall Score 120.0
Overall Score 120.0

Career Opportunities

Graduates from this stream are highly sought after because they possess the rare combination of "soft" management skills and "hard" analytical skills. Career options include:

  • Business Intelligence (BI) Manager: Overseeing the strategies and technologies used by enterprises for the data analysis of business information.

  • Data Analyst: Interpreting complex datasets to identify trends, patterns, and valuable insights for company growth.

  • Management Consultant (Data Strategy): Advising organizations on how to better collect, store, and utilize their data to improve efficiency.

  • Marketing Analyst: Using data to track campaign performance, customer behavior, and ROI to optimize marketing spend.

  • Operations Analyst: analyzing workflow data to identify bottlenecks and improve the efficiency of production or service delivery.

  • Product Manager: Using user data and feedback to guide the development and improvement of products.

  • Supply Chain Analyst: Using data to predict demand, manage inventory levels, and optimize logistics networks.

  • Chief Data Officer (Future Goal): With experience, this degree lays the foundation for executive roles responsible for enterprise-wide data governance and utilization.

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