The modules on our Data Science MSc have been carefully put together to give you the most up-to-date and relevant set of skills and knowledge for progressing in your chosen career.

Compulsory modules

Programming Fundamentals (15 credits)

The aim of this module is to provide the students with an understanding and programming skills for for solving practical problems in different applications.

Principles of Artificial Intelligence and Data Analytics (15 credits)

The aims of this module are to:

  • Introduce students to the foundational concepts of data processing and their use in Artificial Intelligence (AI).
  • Enable students to gain background knowledge necessary to understand and develop different algorithms in AI and Data analytics.

Grand Challenges (15 credits)

The aim of this module is to give students an opportunity to explore grand challenges facing our global society and to propose imaginative solutions to specific challenges in one or more country.

Students will critically reflect on the United Nations Sustainability Development Goals and think about how Loughborough University's Creating Better Futures. Together Strategy might contribute to them.

Students will engage with ideas and approaches to possible solutions from their own programme and gain diverse insights from Loughborough University London's interdisciplinary ecosystem. This will involve solution-oriented thinking and a balance between criticality and possibility, leading to a deep understanding of grand challenges and imagining creative responses to them.

Data Science and Statistical Methods (15 credits)

More details to follow.

Compulsory modules

Data Mining and Database (15 credits)

More details to follow.

Dissertation (60 credits)

The aims of this module are to give the student the opportunity to study a subject, business problem or research question in depth and to research the issues surrounding the subject or background to the problem.

The module will equip the student with the relevant skills, knowledge and understanding to embark on their individual research project and they will be guided through the three options available to them to complete their dissertation:

  • A desk based research project that could be set by an organisation or could be a subject of the student's choice.
  • A project that involves collection of primary data from within an organisation or based on lab and/or field experiments.
  • A full professional placement within an organisation during which time they will complete a project as part of their role in agreement with the organisation (subject to a suitable placement position being obtained).

Students will achieve a high level of understanding in the subject area and produce a written thesis or project report which will discuss this research in depth and with rigour.

Optional modules

Advanced Big Data Analytics (15 credits)

The aims of this module are to:

  • Introduce the concept of big data systems and the challenges posed by such systems.
  • Introduce the requirement of advanced analytics, processing techniques and architectural solutions to tackle the problems encountered.

Human Computer Interaction (15 credits)

More details to follow.

Cybersecurity and Forensics (15 credits)

The aims of this module are to develop students' knowledge and understanding of cybersecurity incidents and processes required for the digital investigation involved aftermath of cyberattacks and cybercrimes.

Applied Data Science and Data Visualisation (15 credits)

The aims of this module is to equip students with advanced programming skills necessary for developing artificial intelligence systems, and for visualising big datasets.

Collaborative Project (15 credits)

The aims of this module are to:

  • Provide students with an opportunity to be exposed to project-based teamwork in diverse settings (understood in this context as involving a range of multidisciplinary, multicultural and demographic elements in differing configurations), aiming to strengthen their cooperative and collaborative working skills and competence, while raising awareness and appreciation of diversity itself.
  • Provide students with hands-on experience of identifying, framing and resolving practice oriented and real-world based challenges and problems, using creativity, critical enquiry and appropriate tools to achieve valuable and relevant solutions.
  • Support the development of students' ability to engage in critical enquiry and individual reflection, as well as to apply individual strengths and skills, building on their own educational backgrounds.
  • Provide students with opportunities for networking with stakeholders, organisations and corporations, aiming to enhance the competence and skills needed to connect to relevant parties and build up future professional opportunities.

Cloud applications and services (15 credits)

The aim of this module is to provide the students with an overview of the cloud technology with a special emphasis on cloud applications and the associated challenges.

Compulsory module

Dissertation (60 credits)

The aims of this module are to give the student the opportunity to study a subject, business problem or research question in depth and to research the issues surrounding the subject or background to the problem.

The module will equip the student with the relevant skills, knowledge and understanding to embark on their individual research project and they will be guided through the three options available to them to complete their dissertation:

  • A desk based research project that could be set by an organisation or could be a subject of the student's choice.
  • A project that involves collection of primary data from within an organisation or based on lab and/or field experiments.
  • A full professional placement within an organisation during which time they will complete a project as part of their role in agreement with the organisation (subject to a suitable placement position being obtained).

Students will achieve a high level of understanding in the subject area and produce a written thesis or project report which will discuss this research in depth and with rigour.

The following information is intended as an example only, featuring module details for the current year of study. Modules are reviewed on an annual basis and may be subject to future changes - revised details will be published through Programme Specifications ahead of each academic year. Please also see Terms and Conditions of Study for more information.