• Phone : +(62) 800-567-8990
  • Email : info@innovatuscampus.ae
  • Work Hours : Mon - Fri : 09:00 - 18:00

Contact

  • Hotline : +971 52 568 1685
  • info@innovatuscampus.ae
  • Innovatus Campus LLC,
  • Shams Business Center,
  • Sharjah Media City Free Zone, Al Messaned,
  • Sharjah, UAE

QUALIFI (UK) Level 7 Diploma Diploma in Cyber Security

The QUALIFI (UK) Level 7 Diploma in Cyber Security aims to develop advanced knowledge and practical skills in cyber security, information security, and risk management. The programme enables learners to understand the evolving cyber threat landscape and the strategies required to protect organisational information systems and digital assets.

Specifically, the programme develops critical analysis, evaluation, and problem-solving skills, together with the professional competencies needed to address complex cyber security challenges. It also encourages independent learning, ethical practice, effective teamwork, and continuous professional development, preparing learners for senior roles in cyber security and further postgraduate study.

AWARDED BY:

QUALIFI (OFQUAL REGUALTED)

The aim of the QUALIFI Level 7 Diploma in Cyber Security is to offer learners an advanced knowledge of the industry by deepening their awareness of cyber threats, vulnerabilities, and security technologies.
The core objective of the Qualifi Level 7 Diploma in Cyber Security qualification is to equip learners with the underpinning knowledge, understanding and skills required for a career in the cyber security sector.

The QUALIFI Level 7 Diploma in Cyber Security aims to give learners the opportunity to:

  1. Gain a recognised qualification from an internationally recognised Awarding Organisation.
  2. Develop research and critical thinking abilities to carry out independent cyber security research.
  3. Develop competence in security management (risk assessment, compliance, and governance)
  4. Gain in-depth knowledge of network security, digital forensics, ethical hacking, and cloud security.
  5. Develop an understanding of ethical and legal aspects relating to privacy, compliance, and the legal frameworks that regulate cyber operations.

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  • Exploratory Data Analysis
  • Statistical Inference
  • Fundamentals of Predictive Modelling Advanced Predictive Modelling
  • Time Series Analysis
  • Unsupervised Multivariate Methods Machine Learning
  1. Gain the mathematical and statistical knowledge and understanding required to carry out basic and advanced data analysis.
  2. Develop sufficient skill in the R, Python and SQL programming languages to use them to successfully carry out data analysis to an advanced level.
  3. Develop a strong understanding of data management, including evaluation, structuring and cleaning of data for analysis.
  4. Become familiar with and use the tools and techniques used in data visualisation
  5. Develop a comprehensive knowledge of classical data analytics, including statistical inference,
    predictive modelling, time series analysis and data reduction.
  6. Become familiar with and apply common machine learning techniques to business and other problems
    in order to uncover options and solutions for them.
  7. Develop an understanding of essential concepts from contemporary themes in business.
  8. Understand, evaluate and apply data science and analytics within business and organisational contexts.
  • Learners who possess qualifications at Level 4 and/or;
  • Learners who have some technical and risk management work experience in a computing or security business environment and demonstrate ambition with clear career goals;
  • Learners who possess a Level 5 qualification in another discipline and want to develop their careers in cyber security and/or risk management.