Overslaan en naar de inhoud gaan Overslaan en naar de footer gaan Overslaan en naar de navigatie gaan
Zoeken

(Forensic) Data Analytics

Course
  • Duration: 20 weeks
  • Start: Feb 2025
  • Costs: € 3.000,-
  • Microcredential
Register now
Digitale vingerafdruk

Our digitally transformed world creates many new opportunities for misconduct. Criminals are rapidly shifting their field of activity to the digital domain providing a growing need for trained forensic IT specialists who can act quickly and effectively in digital forensic investigations.

In this course, you'll embark on a journey into the world of data analysis, where you will acquire essential skills for handling data in forensic scenarios. Our course takes you through the fundamental elements of data analysis, from data collection to visualization, and demonstrates how these skills can be applied effectively in forensic contexts. By the end of this course, you will have not only acquired the essential knowledge and skills to work in a data analysis team, but also you have completed a small data project to showcase your practical experience. Join us today and unlock the potential of data analysis in the world of forensic applications.

Something for you?

You are a professional with a Bachelor’s or Master’s degree working in the digital forensic field looking to develop or improve your research skills.

About the Course

The Data Analytics course is part of the Master Digital Forensics, a two-year part-time program. The duration of the module Data Analytics is 20 weeks and has a study load of approximately 140 hours (5 ECTS). 

Our education is offered in a hybrid format, providing the option to follow lectures online with the exception of several mandatory on-campus meetings. The curriculum combines theory & practice. Participants are expected to carry out practical projects and assignments in their own workplace or at the Digital Forensics Lab at the Digital Forensics & E-Discovery lectorate based at the HSD-campus in the Hague.

Topics

Students learn to think in order to choose the right technology for the right challenge. Not every statistical method can be used on every dataset, and not every trained model can be applied to data without customization. 

  • How do you verify that you are choosing the right application for your problem? 
  • How do you make sure your method is transparent, explainable, and valid? 
  • How can you present your data and the results found?  

Students are given large forensic datasets with a research topic, where they are encouraged to come up with a solution, using the literature. In this, the student reflects on: 

  1. Analysis & breakdown of the problem; 
  2. Methodology is chosen, including advantages and disadvantages of the chosen technique; 
  3. Building a data pipeline in which the data problem is solved; 
  4. Testing whether the approach meets the set (forensic) requirements.
Admission requirements

The admission requirements for this course are:

  • Bachelor's degree ICT, Computer Science or Digital Forensics  (or completed pre-master program Digital Forensics).
  • Relevant work experience in the Digital Forensics field
  • Good command of the English language (minimum B2 level of the Common European Framework of Reference for Languages)
  • Resume check to review if you meet the entry-level requirements of the module (if needed to determine this, you will be invited for an introductory interview)
About the Master Digital Forensics

The Master of Digital Forensics is specifically tailored to professionals who would like to:

  • advance their technical skills in modern day digital forensics and investigations. 
  • acquire the necessary management and communication skills required to perform forensic investigations.
  • be prepared for the technology paradigm shift towards IOT forensics.
  • learn how to use analytics, AI, and ML methodologies and apply forensic frameworks to control huge investigations.
  • learn to develop state of the art forensic tools.

Read more about the complete master’s program

*Please note not all modules of the Master Digital Forensics will be offered as micro-credentials therefore, it is not possible to complete the entire Master’s program via micro-credentials.

After completion

Upon successful completion, you will receive a microcredential. Microcredentials certify the successful learning outcomes of short courses, trainings and other learning modules. They offer a flexible, targeted way to help you show how you are developing the knowledge, skills and competencies you need in your personal and professional development.

Purely practical

Duration and location

Duration
20 weeks (February through June 2025)

On-campus day for study year 2024-2025
Monday

Extent
5 ECTS (140 hrs)

  • Combination of self-study, on-campus lectures & practical assignments.
  • Option to follow lectures online with exception of several mandatory on-campus meetings.

Location
HSD-Campus, the Hague 

Costs and planning

Cost per module
€ 3.000,- VAT exempt (excl. literature)

Start
February 2025*

Registration
Register at latest by December 31st 2024

*Course will only be confirmed when there is sufficient participation.

Why Leiden?

  • Leiden is known for its high-quality educational programmes, particularly in healthcare, education, and Life Sciences. 
  • The involvement, personal approach, and expertise of our teaching staff are significant. 
  • Enjoy the historical charm, museums, and cultural events of Leiden
Beeld gemaakt door Claar Schuurs | Leiden Botermarkt

Made your choice?

We are looking forward to seeing you! The course starts in February 2025.

Register here

Still in doubt?

We're happy to help!

Do you have any questions about this course? We're happy to help.

Send an email
Haven't found what you're looking for?

Maybe this is what you seek!

Master Digital Forensics (part-time)

English programme
Lees meerover Master Digital Forensics (part-time)
Studenten van Master Digital forensics

Digital Forensics Principles

Course
Lees meerover Digital Forensics Principles
Een weergave van digitale verbindingen over een foto van een stad en een snelweg

Law, Ethics & Governance (digital Investigations)

Course
Lees meerover Law, Ethics & Governance (digital Investigations)

Terms and Conditions

All modules are subject to the terms and conditions of Leiden University of Applied Sciences (in Dutch).