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MSc Management with Data Analytics with Professional Development Planning

Program Code : NA | Institute : BPP University | Campus : London East (Portsoken), Manchester
BPP University
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  • Program LevelMaster Degree
  • Duration18 months
  • Program Fee £ 22700.00 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 with Professional Development Planning (PDP) at BPP University is an extended 18-month, full-time postgraduate program. It combines the technical rigour of data science with the strategic oversight of a management degree, plus a dedicated 6-month employability module.

This program is designed for graduates who want to secure senior roles in the UK or globally but feel they need extra support to transition from the classroom to the boardroom. The core difference between this and the standard 12-month course is the Professional Development Planning (PDP) component.

Key features of the program include:

  • Extended Duration (18 Months): The first 12 months cover your academic modules, while the final 6 months are dedicated entirely to professional development, bridging the gap between university and employment.

  • Specialized PDP Module: This non-credit bearing but essential module provides structured coaching on interview techniques, complex problem solving, and career management. It often involves opportunities for internships, voluntary work, or employer-provided projects.

  • Data Fluency for Managers: You will not just learn to manage teams; you will learn to speak the language of data. Modules like "Programming for Data Analysts" and "Applied Modelling and Visualisation" ensure you can communicate effectively with technical data teams.

  • Strategic Application: The course focuses on the "why" and "how" of data—teaching you to use insights to drive profitability, sustainability, and efficiency (e.g., through the "Data Driven Decisions for Business" module).

  • Post-Study Work Ready: The extended length and focus on UK workplace culture make this an excellent choice for international students aiming to utilize the Graduate Route (Post-Study Work) visa.

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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
Reading
Writing
Speaking
Listening

Overall Score 120.0
Overall Score 120.0

Career Opportunities

Graduates of this program are "hybrid" professionals—highly employable because they bridge the communication gap between technical data scientists and non-technical business executives. Career options include:

  • Business Intelligence (BI) Manager: Leading teams that turn raw data into easy-to-understand reports and dashboards for senior leadership.

  • Data Strategy Consultant: working with external clients to identify how they can better collect, store, and monetize their data.

  • Marketing Analytics Manager: Overseeing the data side of marketing departments, measuring ROI, and predicting customer trends using statistical models.

  • Operations Manager (Data Focus): optimizing logistics, supply chains, or manufacturing processes by analyzing workflow data for inefficiencies.

  • Product Manager (Tech): Managing the lifecycle of software or data products, using user metrics to decide which features to build next.

  • Risk Analyst / Manager: Using predictive modeling to identify potential financial, operational, or security risks before they happen.

  • Digital Transformation Lead: Managing the organizational changes required when a company adopts new data tools or AI technologies.

  • Customer Insight Manager: Analyzing customer feedback and behavior data to improve service delivery and retention rates.

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