MSc Project Management (Data Analytics)

Available with optional placement year

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More data is available to businesses than ever before. With our MSc Project Management (Data Analytics) you’ll learn how to listen to what this data has to say – and how to use this information to guide your decision-making in managing and controlling projects.

This is one of our new Project Management courses – bringing vital management skills together with expertise in data analytics. You will learn to manage the process which looks at the movement and interpretation of data with a focus on the business context, enabling you to obtain actionable business insight and solve business problems using analytics.

So you’ll start off studying the fundamental principles in the delivery and management of projects. From there, you’ll specialise in solving business problems with available data. Using statistical methods and the latest commercial software, you’ll learn how to collect, validate, analyse and interpret data – and, crucially, how to present your findings to clients and colleagues in a clear, visual and coherent way.

Our teaching staff are professionals from a range of backgrounds, from engineering and the environmental industries, railways and digital forensics. With their support, by the time you finish, you’ll be well on your way to becoming a rounded project professional, with senior project management roles in your sights.

Non means-tested loans of up to a maximum of £10,000 will be available to postgraduate masters students - click here to find out more information

Optional placement year

This course is available with an optional industrial placement year, giving students the chance to tailor their knowledge to suit a specific industry or skill set. This is an excellent opportunity to put theory into practice and gain transferable workplace skills, providing a real boost to your CV when you graduate.

See Course Details for more details.

Features and Benefits

Career Prospects

The skills and understanding you’ll develop on our MSc can open the doors to roles as a Global Data Analyst, Data Scientist, Business Analyst (Technology) in a variety of sectors including consulting and operations.

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Entry requirements

You’ll need a good UK honours degree – at least a 2:2 – or the international equivalent, in a computing-related subject. We might also consider your application if you a have a different kind of computing qualification, together with substantial experience in a programming-focused role.

English Language: IELTS 6.5 with reading 6.5 and writing 6.5, no-subset below 6.0. This applies to all non-English speaking nationals.

International students can find out more at

Course details

You’ll study eight core units, covering areas including Management of Projects Fundamentals, Data Visualisation and Computational Statistics, as well as an in-depth masters research project.

Core units: 

  • Management of Projects Fundamentals
  • Management of Projects Professional Practice
  • Project Delivery 1: Project Scheduling, Finance and Resource Management
  • Project Delivery 2: Managing Risks, Quality and Benefits
  • Probability and Data Visualisation
  • Computational Statistics
  • Data Management and Machine Learning
  • Individual Research Project

Read more about this year of study

Core Units

Data Management and Machine Learning

The aim of this unit is to develop the student’s knowledge in the areas of data management including online analytical processing; data architectures such as data warehousing and the process and application of machine learning algorithms to data.

  • Data Management Overview [15%] - Example content includes database modelling/querying (relational/noSQL), graph data modelling, applications.
  • Online Analytical Processing (OLAP) [15%] - Including the representation of multi-dimensional views of data; Technologies and Architectures; Categories of OLAP tools, Business Intelligence Tools.
  • Data Warehousing [10%] - Methodologies, architectures, modelling techniques; Data Warehousing Project Management; The Extraction, Transformational and Loading Process;
  • Machine Learning Overview [10%] - The machine learning process, Applications of machine Learning.
  • Machine Learning Algorithms [50%] - For example, artificial neural networks, naïve bayes, decision trees, clustering, association rules, text mining, fuzzy systems, application, analysis and validation.
Management of Projects Fundamentals

The aim of this Unit is to develop student knowledge in the fundamentals of project management and the management of projects through the Body of Knowledge (APM) and Book of Knowledge (PMI).

Management of Projects Professional Practice

The aim of this Unit is to develop student knowledge in the management of projects in a professional practice setting via problem based learning. Students will be expected to analyse, critique and recommend solutions for an existing project.

Using a problem based learning approach, with a case study provided by an industrial partner, students will explore the management strategies, processes and stakeholders involved in the project, and develop communication and coordination plans to monitor and control the project information.

Project Delivery 1: Project Scheduling, Finance and Resource Management

The success of complex infrastructure projects depends on effective management of the trichotomy of scheduling, finance and resources.

Students will learn project scheduling techniques and strategies based on time, resource and costs; the various public and private financing mechanism for projects; manage available resources and its impact throughout the project lifecycle.

Project Delivery 2: Managing Risks, Quality and Benefits

Effective Risk, Quality and Benefit management is essential to deliver a successful project. Not all risk is negative, but not managing risk will have a negative impact on quality and reduce the benefits of a project.

Students will learn how to identify individual risk events and overall risk and how to manage them proactively, minimising threats and maximising opportunities to optimise success with the wide range of stakeholders throughout the project lifecycle. Students will also consider sustainability principals in managing projects.

Probability and Data Visualisation

Advanced Unit in probability and data visualisation for non-mathematics/statistics graduates. The unit will address both the theoretical as well as the applied aspects of probability. The visualisation component will make extensive use of statistical software.

Computational Statistics

An introductory unit in data analysis for non-mathematics/statistics graduates. The unit will cover topics of statistics and its applications on real-world data with the use of statistical software.

Postgraduate Industrial Placement Year

Following completion of the academic credits for their MSc award, students gain additional practice credits by working for a minimum of 36 weeks and maximum 42 weeks (excluding paid and statutory holidays) in an industrial setting, relevant to the student’s programme. The placement provides the opportunity to develop a professional career development plan and to apply academic knowledge in the workplace, as well as acquiring additional specialist expertise and transferable skills through responsibilities and contributions to the employer’s business.

Placement options

Strengthen your skill set by spending time in real-life situations, applying the skills you’ve learned throughout your academic studies in a practical industry environment. This course is available with an optional industrial placement year, giving students the chance to tailor their knowledge to suit a specific industry or skill set. Learning things that can’t be taught or experienced in a classroom, you’ll gain hands-on experience and an inside knowledge of industrial practice. This is an excellent opportunity to put theory into practice and gain transferable workplace skills, providing a real boost to your CV when you graduate.

The University’s Careers Service will assist students in finding suitable placements. There will also be plenty of help and advice from University staff within the Department of Engineering. After finding a placement, your tutors will be on hand to ensure this is the right choice for you and your career aspirations, to make sure that you get the most from your time in industry.

A placement fee of £1850 applies.

Department of Computing and Mathematics

Our Department of Computing and Mathematics is a vibrant community of staff and students, which prides itself on internal and external collaboration.

The department is committed to teaching and research that addresses societal challenges through disciplines like artificial intelligence, big data, computational fluid dynamics, cyber security, dynamical systems, the internet of things, smart cities, robotics and virtual reality.

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Taught by experts

Your studies are supported by a team of committed and enthusiastic teachers and researchers, experts in their chosen field. We also work with external professionals, many of whom are Manchester Met alumni, to enhance your learning and appreciation of the wider subject.

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UK and EU students

UK and EU students: Full-time fee: £8,500 to £9,250 per year. Tuition fees will remain the same for each year of your course providing you complete it in the normal timeframe (no repeat years or breaks in study).

Non-EU and Channel Island students

Non-EU international and Channel Island students: Full-time fee: £16,500 per year. Tuition fees will remain the same for each year of your course providing you complete it in the normal timeframe (no repeat years or breaks in study).

Additional Information

A Masters qualification typically comprises 180 credits, a PGDip 120 credits, a PGCert 60 credits, and an MFA 300 credits. Tuition fees will remain the same for each year of study provided the course is completed in the normal timeframe (no repeat years or breaks in study).

Additional costs

Specialist Costs

All of the books required for the course are available from the library. The University also has PC labs and a laptop loan service. However, many students choose to buy some of the core textbooks for the course and/or a laptop. Students may also need to print their assignments and other documents. Campus printing costs start from 5p per page. Estimated costs are £300 for a laptop up to £100 for books and printing. Total optional cost: £400

Postgraduate Loan Scheme

Loans of up to £10,906 for many Postgraduate Courses

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Alumni Loyalty Discount

Rewarding our graduates

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How to apply

The quickest and most efficient way to apply for this course is to apply online. This way, you can also track your application at each stage of the process.

Apply online now

If you are unable to apply online, you can apply for postgraduate taught courses by completing the postgraduate application form. There are exceptions for some professional courses – the course information on our on-line prospectus will give you more information in these cases.

Please note: to apply for this course, you only need to provide one reference.

You can review our current Terms and Conditions before you make your application. If you are successful with your application, we will send you up to date information alongside your offer letter.


Programme Review
Our programmes undergo an annual review and major review (normally at 6 year intervals) to ensure an up-to-date curriculum supported by the latest online learning technology. For further information on when we may make changes to our programmes, please see the changes section of our Terms and Conditions.

Important Notice
This online prospectus provides an overview of our programmes of study and the University. We regularly update our online prospectus so that our published course information is accurate. Please check back to the online prospectus before making an application to us to access the most up to date information for your chosen course of study.

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