Degree Pathway · Years 2 & 3

BSc in Cloud Computing and Cybersecurity

with Integrated Artificial Intelligence

Advance from Diploma-level knowledge into enterprise cloud architecture, cybersecurity engineering, intelligent automation, governance and applied research.

Diploma Completed→BSc Year 2→BSc Year 3→Degree Award

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Your programme at a glance

Enquire about this pathway

Qualification: BSc pathway
Awarding body / certification: Proposed pathway — formal awarding body and award subject to confirmation
Duration & study mode: Years 2 & 3 · proposedConfirm study mode
Fees: LKR 550,000Course fee only. Check payment options below for registration, exam and certificate charges.
Entry requirements: Completion of the applicable Diploma stage or an equivalent qualification; Academic review of prior qualifications and learning
All entry requirements
Suitable laptop and reliable internet access
Readiness for advanced technical, research and project work
Final entry and progression conditions must be confirmed with an Education Advisor
Next intake: Confirm next intake with admissions

Programme Overview

Advanced Cloud, Cybersecurity And AI In One Pathway

This proposed BSc-stage curriculum develops the ability to design, secure, automate and evaluate modern enterprise environments. The learning journey connects advanced infrastructure and cloud architecture with identity, endpoint, SOC, forensics, governance and resilience.

Artificial intelligence is integrated as an operational and security capability, supported by data engineering, responsible-AI practice, research methods and a final enterprise project.

Proposed Entry Route

Progress From The Diploma Stage

Completion of the applicable Diploma stage or an equivalent qualification
Academic review of prior qualifications and learning
Suitable laptop and reliable internet access
Readiness for advanced technical, research and project work
Final entry and progression conditions must be confirmed with an Education Advisor

Proposed Programme Architecture

A Six-Phase Advanced Learning Journey

Twenty-four proposed modules move from enterprise architecture to research and a final integrated project.

24Proposed modules

6Advanced phases

Years 2 & 3BSc pathway stage

1Final enterprise project

Programme Pathway

Six Connected Phases

Each phase builds advanced technical, operational and professional capability.

Phase 01

Enterprise Infrastructure & Cloud

Advanced networks, cloud architecture, governance and resilience.

Phase 02

Cybersecurity Engineering

Network, identity, endpoint and cloud-security architecture.

Phase 03

Automation & DevSecOps

Secure delivery pipelines, Infrastructure as Code, APIs and automation.

Phase 04

AI for Cloud & Cybersecurity

Applied AI, machine learning, threat detection and governed data.

Phase 05

Governance, SOC & Incident Response

SOC operations, forensics, risk, privacy and cyber resilience.

Phase 06

Research & Final Enterprise Project

Responsible AI, research, architecture, implementation and viva.

Proposed Programme Modules

Explore All 24 Proposed Modules

The complete proposed outline is already expanded below. Final module names, content and sequencing remain subject to academic confirmation.

BSC-201 Enterprise Network Architecture

Advanced routing and segmentation
Enterprise network design
Hybrid connectivity
High availability and resilience

BSC-202 Advanced Cloud Architecture

Multi-tier cloud architecture
Hybrid and multi-cloud concepts
Compute, storage and networking design
Scalability, availability and cost awareness

BSC-203 Cloud Administration and Governance

Resource organisation
Policy and access governance
Monitoring and operational controls
Secure cloud administration

BSC-204 Resilience, Backup and Disaster Recovery

Business impact awareness
Backup architecture
Recovery objectives
Disaster-recovery planning and testing

BSC-205 Network Security Engineering

Defence-in-depth design
Secure network zones
Firewalls and intrusion controls
Encrypted connectivity

BSC-206 Enterprise Identity and Zero Trust

Identity lifecycle
Conditional access
Privileged access
Zero Trust architecture

BSC-207 Endpoint and Vulnerability Security

Endpoint protection
Vulnerability management
Patch and configuration control
Security baselines

BSC-208 Cloud Security Architecture

Shared-responsibility controls
Cloud workload protection
Identity and data security
Security posture management

BSC-209 DevOps, Git and Secure CI/CD

Git workflows
CI/CD fundamentals
Pipeline security
Secrets and dependency controls

BSC-210 Infrastructure as Code and Cloud-Native Security

Infrastructure as Code
Containers and orchestration
Configuration validation
Cloud-native security controls

BSC-211 Python, APIs and Operational Automation

Python automation
REST APIs and JSON
Operational scripting
Error handling and logging

BSC-212 Security Automation and Intelligent Reporting

Security orchestration concepts
Automated response workflows
Data collection and enrichment
Intelligent dashboards and reporting

BSC-213 Applied AI for Cloud Operations

AI-assisted monitoring
Capacity and anomaly awareness
Operational insights
Responsible human oversight

BSC-214 Machine Learning for Security Analytics

Security datasets
Feature engineering
Classification and anomaly detection
Model evaluation

BSC-215 AI-Assisted Threat Detection and Incident Analysis

Detection use cases
Threat prioritisation
Incident summarisation
Validation of AI output

BSC-216 Data Engineering, Databases and Governance

Data pipelines
Structured and unstructured data
Database security
Data quality, privacy and governance

BSC-301 SOC Operations and Detection Engineering

SOC workflows
SIEM fundamentals
Detection rules
Threat hunting and alert triage

BSC-302 Digital Forensics and Incident Response

Evidence handling
Host and network artefacts
Incident containment
Investigation reporting

BSC-303 Governance, Risk, Compliance and Privacy

Risk assessment
Security policies and controls
Privacy principles
Audit and compliance awareness

BSC-304 Business Continuity and Cyber Resilience

Continuity planning
Crisis coordination
Resilience testing
Recovery improvement

BSC-305 LLM Security, Responsible AI and Emerging Technologies

LLM threats and safeguards
Responsible AI governance
Privacy and explainability
Emerging technology assessment

BSC-306 Research Methods and Professional Ethics

Research questions and literature review
Qualitative and quantitative methods
Academic integrity
Professional and ethical practice

BSC-307 Enterprise Project Proposal and Architecture

Problem definition
Requirements and scope
Solution architecture
Security and AI design

BSC-308 Final Enterprise Project, Presentation and Viva

Working enterprise implementation
Technical documentation
Evaluation and reflection
Presentation and viva

Learning Outcomes

Build Advanced Enterprise Capability

Design resilient enterprise and cloud architecturesEngineer identity, endpoint, network and workload securityBuild secure CI/CD and Infrastructure-as-Code workflowsAutomate cloud and security operations with Python and APIsApply machine learning to security analyticsOperate SOC, SIEM, detection and threat-hunting workflowsInvestigate incidents and digital evidenceAssess governance, risk, compliance and privacyPlan continuity and disaster recoveryResearch, implement and defend an enterprise solution

Advanced Practice

Learn Through Applied Work

Enterprise network and cloud design
Secure automation and DevSecOps workflows
SOC, SIEM and investigation activities
AI-assisted operations and threat analysis
Research, documentation and presentations

Academic Focus

Research And Professional Practice

Research methods
Academic integrity
Responsible AI and ethics
Requirements and architecture
Evaluation and critical reflection

Integrated Final Component

One Enterprise Project, Three Connected Disciplines

Cloud ComputingCybersecurityArtificial Intelligence

Final Enterprise Project

Turn Advanced Learning Into A Defensible Solution

Possible project directions include the following planning examples.

AI-Assisted SOC Monitoring PlatformSecure Hybrid Cloud ArchitectureAI-Based Cloud Threat DetectionZero Trust Enterprise EnvironmentIntelligent Identity Risk DetectionAI-Assisted Incident Response PlatformCloud Disaster Recovery Automation

Pathway & Award Guidance

Confirm The Current Award Route Before Enrolment

The proposed curriculum is presented for pathway planning. Current award, registration, credit, recognition, progression and graduation requirements must be confirmed with an Education Advisor.

NextGen Campus Programme DocumentationApplicable completion documentation is subject to the confirmed programme and assessment requirements.

PSB University Pathway InformationUse the supplied university artwork as a pathway reference and request the current formal award information before enrolment.

Your Academic Progression

Diploma → BSc Year 2 → BSc Year 3 → Degree Award

The proposed advanced stage follows Diploma completion and academic entry review.

01Diploma CompletedComplete the applicable Year 1 stage

02BSc Year 2Advanced cloud, security, automation and AI

03BSc Year 3Governance, research and enterprise project

04Degree AwardSubject to confirmed academic and graduation requirements

Explore Degree Pathway

Course Fee

Payment Options

Standard course feeLKR 550,000Payment options shown below

Discounted option

One-time payment

LKR450,000

Discounted one-time fee as supplied

Confirm eligibility, deadline and payment terms before making payment.

Installment plan

Pay in installments

LKR30,000 × 16

Total installment amount: LKR 480,000

Sixteen payments across the applicable programme payment schedule.

BSc Years 2 & 3 pathway stage
24 proposed modules
Six advanced phases
Final enterprise project
Presentation and viva
Advisor-confirmed award route

Fee figures are displayed as supplied. Registration fees, eligibility, total payable amount, installment dates, award requirements and all other terms must be confirmed with a NextGen Campus Education Advisor before payment.

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Complete Your Degree Pathway

Advance Into Cloud, Cybersecurity And Integrated AI

Build advanced enterprise capability through a proposed pathway shaped around architecture, engineering, automation, governance and applied research.

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