Master's Degree (MSc) in Enterprise Cybersecurity

Study level Postgraduate
Credits 90 / 120 ECTS - EQF > / MQF > Level 7
Duration 3 terms (12-18 months)
Location Online / Fully remote
Next intake September 2025
Language English
Tuition Fee €6750
Accreditation Accredited >

Overview
Career Outlook
Certifications
Syllabus
Accreditation
Fees & Admissions
FAQ

Overview

The MSc in Enterprise Cybersecurity integrates technical and managerial expertise, equipping students to fulfill the market's need for versatile professionals capable of implementing security solutions and leading cybersecurity initiatives . The curriculum combines technical training with real-world applications, emphasizing hands-on experiences and soft skills development. The master's also aligns with industry-recognized cybersecurity certifications, further enhancing the students' professional qualifications.

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EU accredited Institution

Tutors available on a daily basis

Recorded & live content

Strong exposure to real-life business application

Progressive assessments (no final exams)

Flexible pace, leading to a completion in 12-18 months

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Career Outlook

The dynamic field of cybersecurity is in high demand worldwide, with a significant need for well-qualified information security, cyber security, and IT risk professionals. The master’s program opens doors to a spectrum of high-demand roles in the cybersecurity domain, including positions such as:

Chief Information Security Officer (CISO)
Cybersecurity Manager/Director
Security Solutions Architect
Cybersecurity Risk Analyst
Incident Response Manager
Cybersecurity Compliance Officer
Cloud Security Manager

Certifications

The degree program closely aligns with leading cybersecurity certifications, elevating professional qualifications and propelling careers to new heights.

Entry requirements

Candidates for this MSc degree program should possess prior technical expertise. Applicants lacking the necessary technical background in cybersecurity will need to undergo an assessment to assess their foundational IT and cybersecurity competencies.

BSc degree in STEM fields or other disciplines

English proficiency as B2-level certificate or equivalent

If you don't have an English certificate, try our test

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Syllabus

The program is structured with 2 Terms of courses and 1 final Term for the thesis or project. The final project can be done in the form of an internship in a company or in a research lab (we will facilitate such opportunities). Every Term lasts for 13 weeks:

Fall term from mid-late September to mid December
Spring term from late January to late April
Final term (Capstone): mid-May to completion

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First Term
Second Term
Third Term

First Term

Cybersecurity Fundamentals and Governance

This foundational course provides a comprehensive overview of cybersecurity, focusing on risk management, advanced security technologies, and governance policies. It equips students with essential knowledge and skills to navigate the complex field of cybersecurity and make informed decisions about security governance. The course incorporates real-world applications through case studies for a comprehensive learning experience.

Network Security and Intrusion Detection

This course delves into network security challenges, covering threat detection and mitigation. The course explores intrusion detection systems, vulnerabilities, and protective measures, including firewalls and VPNs. Key topics include network security basics, attack vectors, and real-world case studies.

Legal Aspects and Compliance

This course explores the legal dimensions of cybersecurity, covering international and local cyber laws, compliance frameworks, and legal implications of cyber attacks. Topics include data protection, privacy laws, and case studies examining legal challenges in real-world incidents.

Cryptography and Secure Communications

This course explores the art of secure communication through cryptography. It covers encryption methods, key management, and real-world applications, including protocols like SSL and TLS. The course equips students with knowledge about symmetric and asymmetric cryptography, encryption algorithms (DES, AES, RSA), and practical case studies and applications of cryptography.

Data Analytics and Risk Management

The course emphasizes using data analytics in cybersecurity for risk assessment and management, covering techniques to analyze large data sets for threat detection, understanding vulnerabilities, and making informed risk-related decisions.

Second Term

Generative AI in Cybersecurity

This advanced course explores AI's role in shaping cybersecurity futures, covering generative AI models for security and threat detection, providing insights into potential applications and challenges.

Business Resilience and Response Strategies

This course highlights business resilience against cybersecurity threats, covering continuity strategies, disaster recovery, and effective responses to breaches for risk mitigation and ensuring seamless operations.

Behavioral Cybersecurity [Elective]

Exploring the human side of cybersecurity, this course addresses behavioral patterns contributing to vulnerabilities. It focuses on understanding psychology, cultivating a security-conscious culture, and mitigating human-related risks.

Cloud and IoT Security [Elective]

This course addresses security challenges and solutions in cloud computing and IoT, covering data integrity, privacy, and compliance techniques.

Secure Software Development [Elective]

This course introduces best practices for secure software development, emphasizing security throughout the software development lifecycle from design to deployment.

Critical Thinking and Problem-Solving [Elective]

This course fosters analytical skills for cybersecurity roles, focusing on critical assessment, strategy development, and problem-solving.

Leadership and Communication in Cybersecurity [Elective]

This course focuses on vital leadership and communication skills for cybersecurity professionals, emphasizing effective communication of security concerns, strategies, and solutions to both technical and non-technical stakeholders.

AI-Driven Forensic Analysis in Cybersecurity [Elective]

This course focuses on the application of AI in cyber forensic analysis. It covers techniques to utilise AI-driven tools for faster and more accurate forensic investigations after security incidents.

Third Term

Capstone Project and Dissertation

The Capstone Project and Dissertation, also known as the MSc thesis, is the pivotal project in the MSc program, aimed at consolidating acquired skills through a research endeavor. Collaborating with an OPIT supervisor, each student develops a project proposal realized in the final terms of their MSc program. The project entails research of industrial relevance, exploring methodological and/or practical aspects within program domains and beyond. Depending on the chosen exit point (30 or 60 ECTS), the MSc thesis workload is distributed over 1 or 2 terms, respectively. Students also have the opportunity to integrate internships with industrial partners to complement and complete their MSc thesis.

EU Accredited Institution

OPIT is a fully accredited Higher Education Institution under the European Qualification Framework (EQF) and the MFHEA Authority (Malta Qualification Framework – MQF – License number n.005-2023). As such, OPIT’s accredited programs have full legal value in Europe and are professionally recognized by employers.

Value for money

Thanks to several funding options, our fees start at an affordable rate per term. Plus, online learning will save you money as you won't need to relocate to pursue your degree.

Postgraduate Certificate (30 ECTS)

€ 3.000

Postgraduate Diploma (60 ECTS)

€ 5.500

Scholarships & Funding

We have different financing options to fund your degree.

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Master Fees

€6750 €2250/term

MSc program of 120 credits: €9000
Different payment plans available
10% discount if you pay upfront

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Top-notch academic leaders

Our selection process focused on recruiting Professors with great academic experience, a strong knowledge of today's Computer Science, and a hands-on teaching approach.

Matthew Jelavic CEO @ CIM | Chartered Managers Canada, President @ Strategy One Consulting Inc., Professor @ Durham College

Mario Spremic Full Professor @ University of Zagreb, Post-doc @ MIT

Azadeh Haratiannezhadi Founder @ Cyber Tech Studio, Co-Founder @ Taktify

Laurent Mathieu Cybersecurity & AWS Cloud Consultant and Instructor

We’ve created an MSc that uniquely blends technical aspects, with managerial and soft skills. With cyber threats increasing every year, you’re looking at one of the most secure careers available!

Tom Vazdar Chief Security Officer @ Erste Bank Croatia, Advisory Board Member @ Europol

Meet our Faculty

Frequently Asked Questions

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Can I combine study with work?

Yes, we have considered various life circumstances when designing our online study programs. Therefore, you can set your own learning pace according to your needs. 

Bachelor’s degrees of 180 ECTS last 3 academic years, with the option to shorten the study period to 2 years with the fast-track option.

Master’s degrees  of 90 ECTS last 18 months, with the option to shorten the study period to 1 year with the fast-track option.

Master’s degrees  of 120 ECTS last 2 academic years, with the option to shorten the study period to 1.5 years with the fast-track option.

Are the OPIT online degrees recognized?

Yes. OPIT – Open Institute of Technology is a fully accredited Online Higher Education Institution under the European Qualification Framework (EQF) and the MFHEA Authority (Malta Qualification Framework – MQF – License number n.005-2023) and thus meets the European standards defined by the Bologna Process.

OPIT degrees and awards, when their accreditation is completed (you can check the status on every program’s page), have full legal value in Europe and are professionally recognized by employers.

As a result, OPIT awards only official degrees.

Can I extend the duration of my studies?

What are assessments like?

Assessment types vary according to the course and may include programming exercises, group projects and presentations, website/app development, essays, and quizzes. A few examples are:

development of a website or app (Web Development course),
fine-tuning a language model on a given dataset (Applications to Data Science and AI course),
comparative essay on AI regulations (Ethics and Regulations of AI course).